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ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol., 07 November 2025

Sec. Industrial Biotechnology

Volume 13 - 2025 | https://doi.org/10.3389/fbioe.2025.1706906

Immobilized Staphylococcus aureus phospholipase C on calcium alginate-chitosan: improved performance and industrial potential in soybean oil refining

  • 1 Department of Biochemistry, College of Science, King Saud University, Riyadh, Saudi Arabia
  • 2 Laboratory of Biochemistry and Lipase Enzyme Engineering, ENIS, University of Sfax, Sfax, Tunisia
  • 3 Science Department, College of Rivière-Du-Loup, Rivière-DuLoup, QC, Canada

Phospholipases are versatile biocatalysts with wide applications in the food and oil industries due to their ability to hydrolyze phospholipids and improve product quality. In this study, production of an extracellular phospholipase C from Staphylococcus aureus (PLCS.a) was optimized, purified, and its immobilization on calcium alginate-chitosan (CAC) was evaluated for soybean oil degumming. Statistical optimization significantly enhanced PLCS.a production, showing maximum yields during the exponential growth phase (232.5 U/mL at 34 h) and optimal activity at 37 °C and pH 7.5. Medium composition remarkably influenced enzymatic activity, with glucose (2%), bovine serum albumin (BSA, 1.5%), Tween 20/80 (0.5%–1%), and Zn2+/Ca2+ (0.1%–0.3%) identified as the most effective enhancers. Immobilization markedly improved enzyme stability, thermal and pH tolerance, and catalytic efficiency compared to the free form. PLCS.a exhibited broad substrate specificity, showing maximum activity toward phosphatidylcholine, and maintained activity in the presence of bile salts and divalent cations. Biotechnological application demonstrated efficient reduction of phosphorus levels in soybean oil from 198 mg/kg to below 2.5 mg/kg within 10 h. Reusability assessment showed that immobilized CAC-PLCS.a retained 100% activity for two cycles, 85.5% after five cycles, and 60% after nine cycles, confirming its operational stability. These results highlighted the potential of immobilized PLCS.a as a cost-effective, eco-friendly, and reusable biocatalyst for large-scale vegetable oil refining.

1 Introduction

Phospholipids form the main structural elements of cellular membranes across all organisms. Their hydrolysis is carried out by phospholipases, enzymes with either acylhydrolase or phosphodiesterase activity (Cerminati et al., 2019). These enzymes are broadly distributed, contributing to microbial virulence and nutrient acquisition (Strahl and Errington, 2017), while they play crucial roles in growth, lipid metabolism, cell migration, membrane dynamics, signaling, and programmed cell death in eukaryotes (Tracey et al., 2018; Yang et al., 2018).

Phospholipases occur as secreted, membrane-bound, or intracellular enzymes, activated at aqueous–organic interfaces. They are grouped according to their cleavage site: PLA1/PLA2 remove fatty acids at sn-1 or sn-2, PLB hydrolyzes both, PLC releases diacylglycerol and phosphorylated heads (phosphatidylcholine (PC)- or phosphoinositide (PI)-specific), while PLD generates phosphatidic acid and can catalyze transphosphatidylation (Cerminati et al., 2019).

Enzymes are increasingly replacing chemical processes due to their specificity and eco-friendly conditions, supporting white biotechnology goals of sustainable production. Advances in molecular tools and protein engineering now enable efficient discovery, optimization, and large-scale enzyme applications (Bornscheuer, 2018). Among enzymes, phospholipases attract growing interest for industrial use, particularly in food and pharmaceuticals. In food processing, they enhance emulsifying properties in baking, dairy, and egg-based products and play a major role in vegetable oil degumming to improve yields (Cerminati et al., 2019).

Crude vegetable oils like soybean, rapeseed, and sunflower contain mainly triglycerides (∼98%) along with minor bioactive compounds such as tocopherols, sterols, and polyphenols that benefit health (Gharby, 2022). They are also a complex mixture of phospholipids (1.75%–3%), sterols, pigments, tocopherols, and free fatty acids, which can form gum deposits during storage and cause problems in food applications. Phospholipids in particular contribute to dark coloration and off-flavors (Borrelli and Trono, 2015). Therefore, degumming is a crucial refining step that removes these gums, mainly phospholipids, thereby improving oil quality (Elena et al., 2017). For effective phospholipid removal, the oil’s phosphorus content should be reduced to below 10 mg/kg (Dos Passos et al., 2022). Common methods for phospholipid removal include water and acid degumming: water degumming targets hydratable phospholipids, while acid degumming, using acids such as phosphoric or citric acid, removes non-hydratable phospholipids (Alonazi et al., 2023; Dos Passos et al., 2022). These conventional degumming methods do not always yield high-quality oil (Sampaio et al., 2019). Water degumming removes only hydratable phospholipids, while acid and super degumming eliminate only part of the non-hydratable phospholipids. Moreover, traditional degumming cannot consistently reduce phosphorus below the <10 mg/kg required for further refining (Sampaio et al., 2019).

In recent years, enzymatic degumming has gained considerable attention, with some studies progressing to pilot-scale applications. This emerging technique uses phospholipases to remove phospholipids from crude oils, converting non-hydratable phosphatides into a hydratable form. As a result, enzymatic degumming offers a safe, biologically based, and environmentally friendly alternative for oil refining (Sampaio et al., 2019; Cerminati et al., 2019).

Several phospholipases are used in oil degumming, including LysoMax® (PLA2) and Lecitase® Ultra (PLA1) from Thermomyces lanuginosus (Lamas, 2022). Phospholipase C (PLC) is preferred as it hydrolyzes the phosphodiester bond of phospholipids, generating sn-1,2-diacylglycerols (DAGs). These DAGs not only improve oil quality but also provide essential fatty acids, including linoleic, α-linolenic, and oleic acids, which support ω-6/ω-3 biosynthesis and cardiovascular health (Xiang et al., 2020).

PC-PLCs hydrolyze phosphatidylcholine PC and phosphatidylethanolamine PE, while PI-PLCs target phosphatidylinositol PI, but engineered PLCs can now hydrolyze PC, PE, and PI without specificity, ensuring complete phospholipid removal and higher oil yield. For example, PLC-Y from Bacillus cereus and LS PI-PLC from Lysinibacillus sphaericus efficiently degum soybean oil and can be produced cost-effectively at an industrial scale (Cerminati et al., 2019).

Most PLCs used in degumming are free enzymes that can be used only once, increasing operating costs. Immobilized enzymes are favored over their free forms because they offer higher stability and can be easily separated from reaction mixtures and reused multiple times, thus reducing operating costs. In addition, immobilization on appropriate supports enhances structural integrity, protects the enzyme in harsh conditions, improves thermal and pH stability, and can fine-tune activity, specificity, and selectivity, making them more suitable for industrial applications (Cerminati et al., 2017; Luo et al., 2023). Common immobilization methods include entrapment in calcium alginate (CA), covalent binding to chitosan or gelatin, and crosslinking with glutaraldehyde, or combinations thereof, with CA, chitosan, and gelatin being the most popular polymers (Yu et al., 2012; Yu et al., 2022). For example, lecitase (PLA1) immobilized in gelatin crosslinked with glutaraldehyde efficiently degummed rice bran oil and retained activity after six cycles (Sheelu et al., 2008). WaPLA2-I and WaPLA2-II from Walterinnesia aegyptia venom, immobilized on calcium-alginate-chitosan (CAC) beads, showed the highest soybean oil degumming yields (85%–87%), retained over 50%–60% activity after eight recycles or 120 days at 4 °C, and reduced residual phosphorus from 168 mg/kg to <10 mg/kg in 4 h, outperforming CA and CA-gelatin supports (Bacha and Alonazi, 2024).

Chitosan and CA are among the most widely used polymers for enzyme immobilization due to their biocompatibility and stability. Chitosan, a flexible biopolymer derived from chitin, provides strong physical and ionic interactions with enzymes, improving adsorption and activity. When combined with CA, it increases mechanical strength and resistance to harsh conditions, making the immobilized enzymes more durable and suitable for repeated industrial use (Weining et al., 2022).

Microbial PLCs from Bacillus cereus (Ravasi et al., 2015; Jiang et al., 2015), Thermococcus kodakarensis (Marchisio et al., 2022), L. sphaericus (Cerminati et al., 2017), and Bacillus stearothermophilus (Alonazi et al., 2023) have been widely studied for oil degumming due to their high activity and relatively simple production. However, most of these enzymes are used in free form, limiting reusability and increasing costs.

Staphylococcus aureus (S. aureus) is a common bacterium found in diverse environments. In our laboratory, it has been shown to produce extracellular enzymes such as lipase and protease (Alonazi, 2024; Bacha et al., 2018) but remains largely unexplored as a source of industrial PLC compared to well-characterized PLCs. Its ability to produce multiple enzymes makes it a promising candidate for developing enzymatic cocktails for various industrial applications. To address this limitation, we investigated the production optimization, the immobilization of S. aureus PLC (PLCS.a) on CA-chitosan (CAC) beads and assessed its activity, stability, and reusability, providing insights into its potential for large-scale soybean oil degumming.

2 Materials and methods

2.1 Materials and reagents

The chromatography material (G-75 Chromatography (2 × 100 °Cm), Mono Q-Sepharose), SDS-PAGE technique, pH-stat, and rotary shaker were obtained from Bio-Rad (USA). The automated Edman degradation method was performed using a PROCISE instrument (Applied Biosystems, Foster City, CA).

Chemicals were obtained from commercial sources. Glucose, lactose, sucrose, maltose, dextrin starch, peptone, tryptone powder, beef extract, yeast extract, BSA, KH2PO4, NaCl, Triton X-100, Tween 20, Tween 80, NaDC, NaTDC, BaCl2, BaSO4, CaCl2, COCl2, CuSO4, MgCl2, FeCl3, ZnSO4, ZnCl2, CaCO3, Celite, silica, CA, chitosan, and glutaraldehyde were acquired from Bio-Rad (Hercules, CA, USA). Phospholipase substrates PC, PE, PI, PG, PS, cardiolipin, and sphingomyelin (SM) were purchased from Sigma-Aldrich (St. Quentin-Fallavier, France). Sodium dodecyl sulfate (SDS), acrylamide, ammonium persulfate, N,N,N′,N′-tetramethyl ethylenediamine (TEMED), β-mercaptoethanol, Coomassie brilliant blue R-250, and protein markers for molecular mass were also provided by Bio-Rad (Hercules, CA, USA).

2.2 PLC production and optimization of medium culture composition

The S. aureus strain ALA1 (GenBank accession no. KF678862) was originally isolated and characterized by Ben Bacha et al. (2016).

Prior to fermentation, the S. aureus strain ALA1 was precultured in nutrient broth overnight at 37 °С shaking flasks at 200 rpm. Then, the pre-culture was inoculated in a 1 L culture shaking containing 100 mL of TSB growth medium at 37 °C and 200 rpm. Using “one variable at a time,” several inoculated growth media were maintained with different carbon (glucose, lactose, sucrose, maltose, dextrin and starch) or nitrogen (peptone, tryptone powder, beef extract, yeast extract, BSA, KH2PO4) sources at various concentrations (0.5%–3%), various metal ions (BaCl2, BaSO4, CaCl2, COCl2, CuSO4, MgCl2, FeCl3, ZnSO4, ZnCl2, CaCO3) at 1% concentration, or various surfactants (Triton X-100, Tween 20, Tween 80 (0.25–1.5%), NaDC and NaTDC (0.1%–0.5%)), then at different incubation times (0–96 h), various temperatures (20 °C–45 °C), and pH (6.0–9.0).

Bacterial growth was monitored by measuring the optical density at 600 nm, with samples collected every 4 h and centrifuged at 10,000 × g for 10 min. The resulting supernatants were considered crude enzyme extracts and subsequently used for activity assays. Subsequently, optimal phospholipase production was evaluated using the pH-stat method with PC as substrate under standard conditions.

2.3 PLCS.a purification

In order to produce PLCS.a, S. aureus strain ALA1 was inoculated in the TSB growth medium enriched with 2% glucose, 1.5% BSA, 1% Tween 20, 0.3% NaDC, and 0.2 g/L ZnCl2 with an initial OD of 0.2 at 600 nm and pH 7.0. After 34 h, bacterial cells were discarded by centrifugation (10,000 × g, 30 min) from 100 mL. The obtained crude phospholipase solution (96 mL) was initially subjected to ammonium sulfate (NH4)2SO4 fractionation (30%–70%), followed by Sephadex G-75 gel filtration and finally, the Mono Q-Sepharose ion exchange chromatography step. After confirming the absence of unbound proteins by washing with buffer A (25 mM Tris-HCl buffer containing 25 mM NaCl and 2 mM benzamidine, pH 8.0), the retained proteins were released through a linear NaCl gradient (25–300 mM) in buffer A, applied at a flow rate of 0.5 mL/min, with eluates collected in 2-mL fractions.

2.4 Protein analysis

Protein concentration, molecular mass, and purity of the PLCS.a were assessed using the Bradford assay and SDS-PAGE on 15% polyacrylamide gels under reducing conditions (Bradford, 1976; Laemmli, 1970). The N-terminal sequence of the native PLCS.a was determined through automated Edman degradation with a PROCISE sequencer (Applied Biosystems, Foster City, CA; Hewick et al., 1981). The molecular mass of the pure PLC was then accurately determined on a Voyager DE-RP MALDI-TOF mass spectrometer (Biosystem, Framingham, MA, USA). Mass spectra recorded in linear mode were externally calibrated with suitable standards and analyzed by the GRAMS/386 Software.

2.5 PLCS.a activity measurement and substrate specificity

Phospholipase activity was assayed using the pH-stat titrimetric method described by Zwaal et al. (1971). The reaction mixture contained a 5 mM phosphatidylcholine (PC) emulsion as substrate, supplemented with 6 mM sodium deoxycholate (NaDC) and 0.5 mM ZnCl2, and was carried out at 50 °C and pH 9.0. Under these standard conditions, one unit of activity corresponded to the release of 1 μmol of phosphocholine per minute.

The activity of PLCS.a was also evaluated on various phospholipid substrates, including PE, PI, PG, PS, cardiolipin, and sphingomyelin, to assess its substrate specificity. Activities are expressed as percentages relative to the activity on PC as described above.

2.6 PLCS.a immobilization

After 34 h of S. aureus incubation in the appropriate medium at 37 °C on a rotary shaker at 200 rpm, the crude enzyme solution obtained after centrifugation (30 min at 10,000 x g) was subjected to an ammonium sulfate fractionation (30%–70%). Then, the precipitate was resuspended in buffer A. The collected PLC solution after centrifugation at 10,000 × g for 30 min was kept at 4 °C.

Immobilization of PLCS.a on silica gel, CaCO3, and Celite 545 was performed following the procedure of Rosu et al. (1997). Two grams of each support was combined with 5 mL of PLC solution and incubated at 4 °C for 2 h under continuous stirring at 200 rpm. For CA entrapment, the method of Ateş and Mehmetoğlu (1997) was applied with slight modifications: 5 mL of PLC solution was incorporated into 50 mL of sodium alginate (2.0%) prepared in 5.0% acetic acid under agitation. The mixture was extruded dropwise (5 drops/s) through a 10-mL syringe needle into 0.2 M CaCl2, generating beads of approximately 2 mm in diameter. Chitosan-alginate-CaCl2 (CAC) beads were obtained using a modified protocol by Sun et al. (2005), where 5 mL of the enzyme solution was blended with 25 mL of chitosan (4%) dissolved in 0.2 M CaCl2/acetic acid (5%), followed by dropwise addition of 25 mL of sodium alginate (4%) in 5% acetic acid to induce bead formation. For alginate–gelatin (CAG) entrapment, a slightly modified procedure of Zhu et al. (2004) was used: 25 mL of gelatin solution (8%) was mixed with 25 mL of sodium alginate (4%) in 5% acetic acid, then 5 mL of PLC solution was incorporated, and 0.2 M CaCl2 was gradually added under constant stirring (200 rpm) to form beads. All beads were subsequently hardened with glutaraldehyde, thoroughly washed, and freeze-dried.

The immobilization efficiency was determined by comparing the residual activity of immobilized PLC to the initial activity of the free enzyme, using the following equation:

Residual Activity  % = Initial free enzyme activity / Activity after immobilization × 100

The particle or bead sizes of the supports were as follows: Celite 545 particles typically range from 10 µm to 200 μm, silica gel particles from 70 µm to 150 µm (Jesionowski et al., 2014), and calcium carbonate (CaCO3) particles generally range from 10 µm to 200 µm depending on preparation conditions (Boyjoo et al., 2014). CA beads prepared by dropwise extrusion were generally <1000 µm in diameter, with typical bead sizes of 200–800 µm reported for encapsulation applications (Lee et al., 2013).

2.7 Biochemical characteristics of free and immobilized PLCS.a

The effects of metal ions, temperature, pH, and bile salts on both free and immobilized PLCS.a were examined by monitoring the hydrolysis of emulsified PC. Experiments were conducted over a temperature range of 30 °C–90 °C, pH 3.0–13.0, bile salt concentrations of 0–8 mM for NaDC and 0–6 mM for NaTDC, and varying concentrations of Ca2+, Mn2+, and Zn2+ (0–1 mM), all under optimal reaction conditions.

The storage stability of both free and immobilized PLCS.a was evaluated by measuring their enzymatic activity at 4 °C and 25 °C over a period of 90 days, with measurements taken every 10 days.

2.8 Biotechnological potential of PLCS.a oil degumming

Free and immobilized PLC samples were tested for their efficiency in soybean oil degumming under optimized conditions (Zwaal et al., 1971). A mixture of soybean oil (200 mL) and citric acid (45%, 130 mL) was heated to 80 °C with stirring (900 rpm) for 5 min. After cooling to 60 °C, the pH was adjusted to 9.00 with 1 M NaOH, followed by the addition of 3 mL of water under gentle stirring (30 rpm) for 20 min. Subsequently, free or immobilized PLC (200 U/kg oil) was introduced, and the reaction was maintained at 60 °C with stirring (30 rpm) for 10 h. Samples were collected every hour for phosphorus analysis, centrifuged at 7000 × g to remove gums and immobilized enzymes, and the residual phosphorus in the oil phase was quantified using the AOCS method ca 12–55 (Society, 1990).

2.9 Reusability of immobilized PLC

In each reaction cycle, soybean oil was subjected to a degumming process using the recovered immobilized PLC. After the reaction, the biocatalyst was separated by centrifugation (9,000 × g for 5 min), washed three times with buffer A, and gently resuspended for reuse. The treated samples from each cycle were collected and analyzed as described in Section 2.8.

2.10 Statistical analysis

All statistical analyses were performed using GraphPad Prism. Data are expressed as mean ± standard deviation (SD) from at least three independent experiments. One-way ANOVA with Dunnett’s post hoc test was used to assess the differences between support materials. For the experiments with two factors (e.g., free vs. immobilized enzyme across different substrates or over storage time), a two-way ANOVA was used, followed by Tukey’s or Sidak’s post hoc test for multiple comparisons, as mentioned in the figure legends. Statistical significance was indicated as p < 0.05 (), p < 0.01 (*), p < 0.001 (*), and p < 0.0001 (**).

3 Results

3.1 Optimization of medium culture compounds for PLC production

3.1.1 Carbon and nitrogen sources

The influence of various carbon sources on PLC production in S. aureus revealed distinct patterns of activity depending on the type and concentration of sugar. Glucose was the most effective inducer, with PLC activity increasing from 8.25 U/mL at 0.5% to a maximum of 28.5 ± 2.12 U/mL at 2% (Figure 1A). After 2%, a decline was observed, suggesting catabolite repression (Troitzsch et al., 2021). Indeed, beyond providing cellular energy, glucose is known to influence S. aureus virulence by upregulating biofilm-related genes and modulating the expression of key virulence regulators as well as several toxins (Vitko et al., 2016). Similarly, dextrin supported moderate PLC production (16.5 ± 0.70 U/mL at 1%), followed by a progressive decrease (Figure 1A), which indicates that low dextrin levels are optimal for enzyme induction. Moreover, given that dextrin is composed of glucose polymers connected via glycosidic linkages, it likely influences S. aureus metabolism in a way comparable to glucose (Choueiry et al., 2022). Sucrose also promoted limited enzyme activity, with a maximum of 13 ± 0.70 U/mL at 1%, but higher concentrations led to complete inhibition (Figure 1A). Starch showed a weak inductive effect, with minimal activity detected only between 1% and 2% (maximum 5.25 ± 0.35 U/mL at 1.5%), and no activity at 0.5% and 3%, indicating low suitability for PLC production. In contrast, lactose and maltose were the least effective: lactose induced a modest peak of 8.25 ± 0.35 U/mL at 1.5%, while maltose showed minimal activity, reaching only 2.7 ± 0.28 U/mL (Figure 1A).

Figure 1
Bar graphs comparing phospholipase activity at various concentrations. Graph A shows activity for glucose, lactose, sucrose, maltose, dextrin, and starch. Graph B shows activity for peptone, tryptone, beef extract, yeast extract, BSA, and K2HPO4. Phospholipase activity is measured in units per milliliter, with significant differences indicated by asterisks.

Figure 1. (A) Carbon and (B) nitrogen source impact on PLC activity in Staphylococcus aureus at 1% concentration. Data are expressed as the mean ± standard deviation from three separate experimental replicates. Statistical comparisons are shown only for glucose and BSA across different concentrations, as they were found to be the most effective inducers of PLC activity. Significance levels are indicated as: p < 0.0001 (****).

The effect of various nitrogen and phosphate sources on S. aureus PLC activity showed a concentration-dependent response, with different patterns observed for peptone, tryptone, beef extract, yeast extract, BSA, and K2HPO4 (Figure 1B). Peptone concentration led to a progressive increase in PLC activity, peaking at 24.5 ± 3.53 U/mL at 1.5% but declining at higher concentrations, reaching 3.25 ± 0.35 U/mL at 3%, pointing to an inhibitory effect at excessive concentrations (Figure 1B). Similarly, tryptone also demonstrated a concentration-dependent effect, with a PLC maximal activity of 21.5 ± 2.12 U/mL at 2% but dropping to 12.75 ± 1.06 U/mL at 3%, implying potential metabolic repression at higher concentrations (Figure 1B). Both beef extract and yeast extract showed an early rise in PLC activity. Beef extract peaked at 37.5 ± 3.53 U/mL when used at 1%, but its activity declined to 8.75 ± 0.35 U/mL at 3% (Figure 1B). Similarly, yeast extract reached a maximum of 52 ± 3.53 U/mL at 1%, followed by a drop to 14 ± 1.41 U/mL at the highest concentration tested. BSA was the most pronounced nitrogen source in increasing PLC activity, reaching 81.5 ± 4.94 U/mL at 1.5%, followed by a decrease to 38 ± 2.82 U/mL at 3%. K2HPO4 gradually increased PL activity from 37 ± 2.82 U/mL at 0.5% to 45 ± 4.24 U/mL at 1%, but activity dropped sharply to 9.5 ± 0.70 U/mL at 3%, following a pattern similar to other sources. (Figure 1B). These findings indicate that moderate concentrations of each nitrogen or phosphate source increase PLC production, but higher concentrations tend to inhibit enzyme activity, likely due to metabolic imbalances or nutrient excess.

3.1.2 Effect of surfactants

Different detergents and bile salts influence PLC activity in S. aureus, showing distinct patterns based on the additive type and concentration (Figure 2). Triton X-100 showed a noticeable concentration-dependent effect, where PLC activity stayed fairly high at lower doses (104.5 ± 4.94–102 ± 4.24 U/mL at 0.25%–0.5%) but dropped significantly to 49.5 ± 3.53 U/mL at 1.5% p < 0.0001 (Figure 2A). This decline may reflect enzyme instability or reduced substrate availability at increased surfactant levels. In contrast, Tween 80 and Tween 20 exhibited a biphasic response. PLC activity increased at low to moderate concentrations, reaching 108 ± 4.24 U/mL p < 0.01 at 0.5% and 119 ± 5.65 U/mL at 1%, respectively, probably due to improved enzyme-substrate contact or solubilization (Figure 2A). However, further increases in concentration led to reduced activity, possibly as a result of micelle formation or interference with enzyme function.

Figure 2
Bar graphs show phospholipase activity at various concentrations. Graph A compares Triton X-100, Tween 80, and Tween 20. Graph B compares NaDC and NaTDC. Statistical significance is indicated by asterisks.

Figure 2. (A) Surfactants: Triton X-100, Tween 80, and Tween 20, and (B) bile salt impacts: sodium deoxycholate (NaDC) and sodium taurodeoxycholate (NaTDC) on PLC production by Staphylococcus aureus. Data are expressed as the mean ± standard deviation from three separate experimental replicates. Comparisons between detergents or bile salt at the same concentration significance levels are indicated as p < 0.05 (*), p < 0.01 (**), p < 0.001 (***), p < 0.0001 (****).

Among bile salts, sodium deoxycholate (NaDC) exhibited a strong and sustained stimulatory effect on PLC activity, peaking at 135.5 ± 6.63 U/g at 0.3% p < 0.0001 and maintaining high activity up to 0.5% (Figure 2B), which supports that it promotes favorable conditions for enzyme function. Conversely, sodium taurodeoxycholate (NaTDC) showed only a modest increase up to 117 ± 2.82 U/g at 0.2% before declining steadily, indicating that the enzyme is more sensitive to concentration changes, with marked inhibition at higher doses (Figure 2B). These findings indicate that non-ionic detergents such as Tween 20 and Tween 80 can promote PLC activity at moderate concentrations, whereas Triton X-100 exhibits a more suppressive effect.

3.1.3 Effect of bivalent cations

The impact of various metal salts on PLC activity from S. aureus showed notable variations. ZnCl2 and CaCl2 significantly increased activity, reaching 168.5 ± 4.94 U/mL and 152 ± 2.82 U/mL, respectively, while MgCl2, MgSO4, and CuSO4 caused moderate increases in activity (128 ± 5.65 U/mL, 121.5 ± 4.94 U/mL, and 99.5 ± 4.94 U/mL, respectively) (Table 1). In contrast, BaCl2 and CoCl2 strongly inhibited the enzyme, with activities dropping to 73 ± 5.65 U/mL and 65.5 ± 3.53 U/mL, respectively, and BaSO4 and FeCl3 showed milder inhibitory effects. ZnSO4 also caused slight activation (101 ± 4.24 U/mL) (Table 1).

Table 1
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Table 1. Effect of various bivalent cations at 1% concentrations on Staphylococcus aureus PLC production. Data are expressed as the mean ± standard deviation from three separate experimental replicates. Comparisons were made for each cation treatment against the control (None). Significance levels: p < 0.01 (**), p < 0.0001 (****).

Different concentrations of ZnCl2 demonstrated a dose-dependent response, with a marked increase in PLC activity observed at 0.1% (168.5 ± 4.94 U/mL), followed by a progressive reduction to 119 ± 2.82 U/mL at 0.5% (Figure 3). These results suggest that lower ZnCl2 levels may stimulate enzymatic activity, whereas higher concentrations exert an inhibitory effect. Similarly, increasing CaCl2 concentrations initially stimulated PLC activity, peaking at 169.5 ± 3.53 U/mL at 0.3%, but they showed a decline to 125.5 ± 3.53 U/mL at 0.5% (Figure 3). Collectively, divalent cations like Ca2+, Zn2+, and Mg2+ increase PLC activity, especially in chloride form, while barium and cobalt salts tend to suppress it.

Figure 3
Line graph comparing the effect of ZnCl2 and CaCl2 on phospholipase activity at different concentrations from 0 to 0.5 grams per liter. ZnCl2 and CaCl2 show peak activity around 0.2 grams per liter. Activity decreases beyond this point for both. ZnCl2 is represented by blue circles, CaCl2 by red squares. Significance levels are noted with asterisks.

Figure 3. Impact of varying ZnCl2 and CaCl2 concentrations on PLC production in Staphylococcus aureus. Data are expressed as the mean ± standard deviation from three separate experimental replicates. Comparisons were performed for each concentration to the control (0 g/L). Significance levels are indicated as: p < 0.01 (**), p < 0.0001 (****).

3.2 Optimization of physicochemical factors influencing PLC production

3.2.1 Incubation time

In order to evaluate the relationship between enzyme synthesis and bacterial growth, the production of PLC and biomass accumulation by S. aureus was monitored during a 96-h fermentation period. Current data presented in Figure 4 show that both PLC activity and biomass increased progressively during the first 34 h, reaching their respective peaks at 232.5 ± 6.36 U/mL and 11.1 ± 0.84 g/L, indicating that PLC production is tightly linked to the exponential growth phase. This phase represents the period of most active metabolism, during which the bacterial cells are highly viable and actively producing extracellular enzymes (Gonzalez and Aranda, 2023). After 34 h, both PLC activity and biomass declined due to nutrient exhaustion, accumulation of toxic metabolites, or autolysis, leading the culture into the stationary and death phases. By 96 h, PLC activity had decreased to 53.5 ± 2.12 U/mL and biomass to 2.1 ± 0.14 g/L, indicating a significant reduction in bacterial viability and metabolism (Figure 4).

Figure 4
Line graph showing dry weight of biomass and phospholipase activity over time in hours. The biomass peaks around 35 hours at 12 g/L and then declines. Phospholipase activity peaks slightly earlier and higher, around 40 hours at 275 U/ml, before decreasing.

Figure 4. Impact of incubation duration on Staphylococcus aureus cell growth and PLC production. Data are expressed as the mean ± standard deviation from three separate experimental replicates.

3.2.2 Effect of pH and temperature

To determine the optimal catalytic conditions, the PLC activity was evaluated under varying temperature and pH conditions. Temperature assays revealed a progressive increase in activity from 59 ± 5.65 U/mL at 20 °C to a peak of 261 ± 9.89 U/mL at 37 °C, corresponding to the enzyme’s optimal temperature (Figure 5A). Beyond 37 °C, PLC activity slightly decreased (258 ± 11.31 U/mL at 40 °C) and dropped further at 45 °C (193 ± 5.65 U/mL), probably due to a partial thermal denaturation at higher temperatures (Figure 5A).

Figure 5
Line graphs show phospholipase activity. Graph A: Activity peaks at 250 U/ml at 37 degrees Celsius, declining on either side. Graph B: Activity peaks at pH 7.0 with a similar decline, indicating optimal conditions for enzyme activity.

Figure 5. (A) Temperature and (B) pH impacts on PLC activity produced by Staphylococcus aureus. Data are expressed as the mean ± standard deviation from three separate experimental replicates.

Similarly, pH strongly influenced PLC activity, with a gradual rise from 160 ± 4.24 U/mL at pH 6.0 to a maximum of 279 ± 5.65 U/mL at pH 7.5, identifying this as the optimal pH for enzymatic function (Figure 5B). Activity declined significantly beyond this point, reaching 224.5 ± 4.94 U/mL at pH 8.0 and 78 ± 4.24 U/mL at pH 9.0 (Figure 5B). This result indicates that the enzyme exhibits optimal activity under slightly alkaline conditions and shows reduced efficiency when the pH shifts from the optimum.

3.3 Purification of PLCS.a

The purification of PLCS.a resulted in a progressive increase in specific activity and purification factor through each step. Starting from a crude extract with a total activity of 27,000 U and a specific activity (SA) of 172 U/mg, PLCS.a was subjected to ammonium sulfate (NH4)2SO4 fractionation (30%–70%), which retained 76.26% of the activity and increased the specific activity to 467 U/mg (2.71-fold purification). Further purification using Sephadex G-75 gel filtration yielded 14,500 U of activity with a higher specific activity of 1,372 U/mg and a 53.7% recovery, corresponding to a 7.98-fold purification. Finally, the Mono Q-Sepharose ion exchange chromatography step resulted in 10,070 U of total activity with a specific activity of 2,850 U/mg, achieving a 37.3% overall recovery and a 16.56-fold purification, indicating a highly enriched PLCS.a preparation (Table 2). SDS-PAGE analysis revealed a single, sharp band at approximately 30 kDa in Lane 2, corresponding to the purified PLCS.a (Figure 6B). Consistently, MALDI-TOF mass spectrometry confirmed the molecular mass of the enzyme as 30 kDa (Figure 6C).

Table 2
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Table 2. Purification steps of PLCS.a

Figure 6
Panel A displays a sequence alignment for various phospholipase C (PLC) proteins, showing accession numbers, sequences, and percentage identities. Panel B presents an SDS-PAGE gel, with lanes marked for protein bands and molecular weight markers. Panel C shows a mass spectrometry chart with intensity percentages plotted against mass-to-charge ratios, highlighting peaks at 15,282 and 30,564 m/z.

Figure 6. (A) NH2-terminal sequences alignment of purified PLCS.a with other Bacillus PLCs. Amino acid sequence alignments were carried out using the program BLAST-P (NCBI, NIH, USA) database. (*) Highly conserved residues, (.) Non-conserved residues. (B) SDS-PAGE analysis of the purified PLCS.a. Lane 1: molecular mass markers, lane 2: purified PLCS.a. (C) MALDI-TOF spectra of PLCS.a.

The multiple sequence alignment of the N-terminal region of PLCS.a with four related bacterial phospholipases revealed a high degree of conservation. The sequence shares 91% identity with PLCP.s, PLCB.c1, and PLCB.c, and 88.57% identity with PLCB.spOA1 (Figure 6A). Most residues are fully conserved across all sequences, particularly in regions likely involved in catalytic activity or substrate interaction. Minor differences are mainly located near the C-terminal end of the aligned region, where PLCS.a shows a slightly shorter sequence.

3.4 Immobilization of PLCS.a

The immobilization yield of purified PLCS.a varied notably across different support materials (Table 3). The highest efficiency was observed on CA combined with chitosan (CAC), reaching 82 ± 4.24%, followed by CA with glutaraldehyde (CAG) at 71.5 ± 6.63%, and CA alone at 61.5 ± 3.35%. In contrast, inorganic supports showed lower yields, with CaCO3 achieving 48 ± 4.24%, silica achieving 34 ± 4.24%, and Celite the lowest at 31 ± 2.82%.

Table 3
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Table 3. Immobilization yield of PLC on various support materials. The enzyme was immobilized on inorganic supports (CaCO3, Celite, silica) and calcium alginate-based carriers, including calcium alginate alone (CA), calcium alginate-chitosan (CAC), and calcium alginate-glutaraldehyde (CAG). Data are expressed as the mean ± standard deviation from three separate experimental replicates. Comparisons were made for CAC vs. other supports, as CAC gave the highest immobilization yield. Significance levels: p < 0.05 (*), p < 0.001 (***), p < 0.0001 (****).

3.5 Biochemical characterization of free and immobilized PLCS.a: a comparative study

3.5.1 Storage stability

The storage assay revealed that free PLC retained full activity for 20 days at 4 °C but gradually declined to 47 ± 2.82% activity by day 90. However, CAC-immobilized PLC remained fully active for 50 days and maintained 71.5 ± 3.53% activity at day 90 (Figure 7). This finding highlights the enhanced long-term stability conferred by immobilization. At 25 °C, free PLC activity dropped rapidly, reaching zero by day 80, whereas immobilized PLC stayed fully active for 20 days and retained 37 ± 2.82% activity at day 90 (Figure 7), demonstrating that CAC immobilization significantly improves stability even at room temperature.

Figure 7
Line graph depicting phospholipase activity percentage over 100 days for four conditions: Free PLC at four degrees Celsius, Free PLC at twenty-five degrees Celsius, CAC-PLC at four degrees Celsius, and CAC-PLC at twenty-five degrees Celsius. Free PLC at twenty-five degrees shows significant activity decline, while CAC-PLC conditions maintain higher stability. Data points are marked with symbols and error bars.

Figure 7. Storage stability of free and immobilized PLC: Percentage of activity retained at 4 °C and 25 °C. Values represent the mean ± standard deviation of three independent replicates. The activities of free and CAC-PLC were compared at each time point independently for the two storage temperatures to assess the effect of immobilization on enzyme stability. Significance levels are indicated as: p < 0.0001 (****).

3.5.2 Effect of pH and temperature

The influence of temperature and pH on the activity of PLC, both free and immobilized on CAC, was investigated to evaluate the effect of immobilization on enzyme stability and performance (Figure 8). Regarding temperature, the free enzyme showed a gradual increase in activity from 45.5 ± 3.53 U/mL at 30 °C to a maximum of 100 ± 0 U/mL at 50 °C, followed by a decline at higher temperatures, reaching 60 ± 4.24 U/mL at 70 °C (Figure 8A). Immobilized CAC-PLC displayed a slightly shifted thermal profile, with activity rising from 41 ± 4.24 U/mL at 30 °C to a peak of 100 ± 0 U/mL at 55 °C and retaining 95.5 ± 3.53 U/mL at 60 °C.

Figure 8
Graphs showing phospholipase activity (%) for CAC-PLC (blue circles) and Free PLC (red squares) across temperature and pH variations. (A) Activity increases between 30°C and 60°C, then decreases. (B) Constant activity until 50°C, then declines. (C) Activity peaks at pH 8. (D) Constant activity from pH 4 to 10, then declines. Error bars indicate variability; significance markers highlight differences.

Figure 8. Effect of temperature and pH on free and immobilized PLCS.a activity and stability. (A) Temperature-dependent activity of free and CAC-immobilized PLC. (B) pH-dependent activity of free and CAC-immobilized PLC. (C) Thermal stability of free and CAC-immobilized PLC over 30 °C–90 °C. (D) pH stability of free and CAC-immobilized PLC across pH 3.0–13.0. Data are expressed as the mean ± standard deviation from three separate experimental replicates. Comparisons were performed between free and CAC-PLC at each temperature and pH. Significance levels indicated as p < 0.1 (*), p < 0.01 (**), p < 0.001 (***), and p < 0.0001 (****).

Similarly, the effect of pH revealed that the free enzyme reached maximum activity (100 ± 0 U/mL) at pH 9.0, with notable decreases at higher pH values (55 ± 2.82 U/mL at pH 11.0) (Figure 8B). Immobilization on CAC shifted the optimal pH slightly toward alkaline conditions (100 ± 0 U/mL at pH 9.5) and maintained higher activity under elevated pH (84.5 ± 3.53 U/mL at pH 10.0 and 63.5 ± 3.53 U/mL at pH 11.0).

The stability of both free and immobilized PLC on CAC was evaluated in order to assess the impact of immobilization on enzyme performance under different temperatures (30 °C–90 °C) (Figure 8C) and pH values (3.0–13.0) (Figure 8D). The thermal stability of free and CAC-immobilized PLC was assessed after 1 h incubation at different temperatures (30–90 °C). Free PLC maintained full activity up to 50 °C, with a slight decrease at 60 °C (97.5 ± 3.53%), and showed progressive loss at higher temperatures (79 ± 4.24% at 70 °C and 41.5 ± 4.95% at 90 °C) (Figure 8C). In contrast, the immobilized enzyme displayed improved resistance, retaining 100% activity up to 60 °C and higher residual activity at elevated temperatures (92 ± 4.24% at 70 °C and 51.5 ± 4.95% at 90 °C) than the free PLC (Figure 8C). These findings indicate that CAC immobilization enhances PLC thermostability, particularly above 60 °C.

The pH stability of the two forms of PLC was assessed over the range 3.0–13.0 during a 1-h incubation (Figure 8D). Free PLC was stable between pH 6.0 and 9.0, retaining 100% activity, with partial activity at pH 5.0 (82.5 ± 4.95%) and pH 10.0 (93 ± 4.24%), but a marked decline was seen under extreme acidic or alkaline conditions (45 ± 4.24% at pH 3.0; 46 ± 2.82% at pH 13.0) (Figure 8D). Immobilization improved tolerance, as the enzyme maintained full activity from pH 6.0 to 10.0 and showed higher residual activity at extreme pH values (52 ± 1.41% at pH 3; 91.5 ± 2.12% at pH 11; 68 ± 4.24% at pH 13) (Figure 8D).

3.5.3 Effect of bile salt and metal ions

The impact of various concentrations of bile salts on free and CAC-PLC activity was assessed. The activity of both free and immobilized PLC (CAC-PLC) increased in a concentration-dependent manner with bile salts. In the presence of NaDC (Figure 9A), activity rose from ∼23–28% at 0 mM to over 85% at 4 mM, reaching full activity (100%) at 6 mM, with no further increase at 8 mM. With NaTDC (Figure 9A), a similar profile was observed, but saturation occurred earlier, as activity increased sharply from 28% at 0 mM to >80% at 2 mM, and maximum activity (100%) was reached at 3 mM and maintained at higher concentrations.

Figure 9
Graph A shows phospholipase activity (%) increasing with bile salts (mM) for Free PLC and CAC-PLC variants, with different NaDc and NaTDc. Graphs B and C illustrate phospholipase activity (%) for Free PLC and CAC-PLC, respectively, at varying metal ion concentrations (Ca²⁺, Zn²⁺, Mn²⁺) in mM. Statistical significance is indicated by asterisks.

Figure 9. (A) Effect of bile salts on the activity of free and immobilized PLC (CAC-PLC). Effect of metal ions (Ca2+, Zn2+, and Mn2+) on the activity of (B) free and (C) immobilized CAC-PLC. Data are expressed as the mean ± standard deviation from three separate experimental replicates. Statistical comparisons are shown only for Zn2+, which exhibited the highest stimulatory effect on PLC activity. The absence of bars for Ca2+ and Mn2+ does not indicate a lack of significance.

The activity of both free and immobilized CAC-PLC was influenced by metal ions, each showing distinct optimal concentrations (Figure 9C). For free PLC, Ca2+ increased activity to 100 ± 0% at 0.5 mM, Zn2+ produced the strongest stimulation, reaching 192.5 ± 4.94% at 0.5 mM, and Mn2+ peaked at 118.5 ± 4.94% at 0.4 mM (Figure 9B). Similarly, immobilized CAC-PLC reached full activity with Ca2+ at 0.4–0.5 mM, exhibited maximal stimulation with Zn2+ at 202.5 ± 9.19% at 0.4 mM, and peaked at 131 ± 4.24% with Mn2+ at 0.4 mM (Figure 9C). In all cases, higher concentrations led to a gradual decline in activity, indicating that each metal has a specific optimal range for maximal enzyme activation, likely due to oversaturation or non-specific interactions with the enzyme. Indeed, excessive metal ions can disrupt the active site, induce structural perturbations, or cause competitive binding that interferes with catalysis, reducing enzymatic efficiency (Griffith and Ryan, 1999).

3.5.4 Substrate specificity

Current results presented in Table 4 showed that both free and immobilized PLC exhibited broad substrate specificity, with the highest activity recorded toward phosphatidylcholine (PC, 100 ± 0%) (Table 4). For other phospholipids, immobilization generally increased activity compared to the free enzyme. In the case of PE, PG, and PS, CAC-PLC showed slightly higher hydrolysis rates (68.5 ± 4.94%, 45 ± 2.81%, and 52 ± 1.41%, respectively) relative to free PLC (60.5 ± 3.53%, 39 ± 2.82%, and 46 ± 1.41%, respectively). A similar trend was observed with sphingomyelin (63.5 ± 3.53% vs. 53.5 ± 4.94%) and phosphatidylinositol PI (26.5% vs. 20.5%). The most pronounced difference was found with cardiolipin, where CAC-PLC retained 23 ± 2.82% activity compared to only 11.75 ± 1.06% for free PLC, suggesting that immobilization improved substrate accessibility and catalytic efficiency across most phospholipid types.

Table 4
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Table 4. Comparative activity of free and immobilized phospholipase C (CAC-PLC) on different phospholipid substrates, including PC: phosphatidylcholine, PE: phosphatidylethanolamine, PG: phosphatidylglycerol, PS: phosphatidylserine, PI: phosphatidylinositol, sphingomyelin, and cardiolipin. Results are presented as a percentage of the activity measured on the reference substrate phosphatidylcholine (PC) under standard assay conditions. One unit of PLC activity corresponds to the production of 1 μmol of phosphocholine per minute. Data are expressed as the mean ± standard deviation from three separate experimental replicates. Comparisons were performed between free and immobilized phospholipase C with each substrate. Significance levels are indicated as p < 0.05 (*).

3.6 Soybean oil degumming using PLCS.a: biotechnological application

Given that PLCS.a can hydrolyze various phospholipids, soybean oil was chosen to evaluate its degumming performance by monitoring both phosphorus and DAG contents (Figure 10A). The degumming of soybean oil was significantly accelerated by immobilization. Free PLC reduced phosphorus content gradually from 198 ± 9.89 mg/kg at 0 h to 2.5 mg/kg after 10 h, with notable decreases observed after 5–6 h (Figure 10A). In contrast, CAC-PLC achieved a faster reduction, reaching 51 ± 4.24 mg/kg at 2 h and 2.4 mg/kg by 10 h (Figure 10A). These results demonstrate that immobilization on CAC not only enhances the catalytic efficiency of PLC but also allows for more rapid and effective degumming of soybean oil than the free enzyme.

Figure 10
A two-part data visualization. Panel A shows a line graph comparing phospholipid content over time for Free PLC and CAC-PLC, with Free PLC starting higher and both decreasing markedly. Panel B presents a bar chart of relative phospholipase activity across cycles, displaying a gradual decline.

Figure 10. (A) Phosphorus content during soybean oil degumming by free and immobilized CAC-PLC. (B) Reusability of immobilized CAC-PLC in soybean oil degumming. Data are expressed as the mean ± standard deviation from three separate experimental replicates.

The reusability study of immobilized CAC-PLC during soybean oil degumming showed that the enzyme retained full activity up to the second cycle, with a slight decline to 98.5 ± 2.12% by the third cycle (Figure 10B). Progressive reductions in activity were observed thereafter, with relative activities of 93.5 ± 4.94% at the fourth cycle, 85.5 ± 3.53% at the fifth, and 78 ± 4.24% at the sixth (Figure 10B). Beyond the seventh cycle (74 ± 5.65%), activity gradually decreased, reaching 60 ± 7.07% at the ninth cycle and approximately half of the initial value (51.5 ± 3.53%) by the 10th (Figure 10B). The enzyme maintained moderate activity up to the 12th cycle (35.5 ± 3.53%) before showing a sharp decline, with only 20.5 ± 0.70% of its initial activity retained after 15 cycles. Current data highlight the good operational stability of CAC-PLC over multiple reuses despite gradual activity loss.

4 Discussion

In this study, an extracellular PLC from S. aureus was optimized, purified, and immobilized for application in soybean oil degumming. To provide a clear overview of the experimental strategy and key steps undertaken, a schematic flowchart is presented in Figure 11. To optimize culture conditions for PLC production in S. aureus, the effects of different carbon, nitrogen, and phosphate sources were systematically evaluated. Current data showed that glucose and dextrin among carbon sources, and particularly BSA and yeast extract among nitrogen sources, were identified as the most effective in enhancing PLC production, although excessive concentrations of all tested compounds led to activity inhibition (Figure 1). The differences observed in PLC production with different carbon sources can be attributed to the interplay between sugar metabolism, carbon catabolite repression (CCR), and regulatory pathways controlling virulence in S. aureus. Readily metabolizable sugars such as glucose are known to strongly induce PLC expression at moderate concentrations, as they provide rapid energy and metabolic intermediates that increase enzyme synthesis. However, at higher concentrations, glucose triggers CCR, leading to repression of certain catabolic and virulence-associated genes, thereby explaining the decline in activity beyond 2% (Troitzsch et al., 2021). Other sugars like dextrin, which is composed of glucose polymers, can also moderately induce PLC because they are hydrolyzed to glucose monomers, feeding into similar metabolic and regulatory pathways (Choueiry et al., 2022). In contrast, disaccharides such as lactose and maltose, or polysaccharides like starch, require additional enzymatic processing before utilization. Their slower uptake and metabolism reduce available intracellular signals for virulence gene induction, resulting in weaker or negligible PLC expression (Somerville and Proctor, 2009). Similar findings were observed with bacterial PLC. Indeed, the production of PLC by Pseudomonas fluorescens MICAYA 2023 strains was significantly increased by the addition of soybean meal, yeast extract, NaCl, and egg yolk (Momtaz et al., 2025). Glucose (11 mM) and NH4Cl (5 mM) were used as the optimized carbon and nitrogen sources, respectively, for Bacillus thuringiensis (Elleboudy et al., 2016). Peptone (1%) and beef extract (0.5%) were used as the primary nitrogen sources for PLC production by Bacillus mycoides strain 970 (Wang et al., 2010). PLC production by the Staphylococcus isolate in a phosphate-starved medium was observed only when the glucose concentration was increased to 110 mM and BSA was added at concentrations of 0.5%, 1%, or 1.5% (Elleboudy et al., 2016). High yields of PLC from S. aureus D173 were achieved only when BSA was added to phosphate-starved TMM, with both growth and PLC production increasing progressively with higher BSA concentrations (Elleboudy et al., 2011).

Figure 11
Flowchart illustrating the process of PLC production. Steps include optimization of *S. aureus* culture conditions, purification through fermentation, PLC immobilization, and characterization based on pH, temperature, and substrate specificity. The final application is soybean oil degumming.

Figure 11. Schematic overview of PLCS.a production, immobilization, and soybean oil degumming.

The influence of different surfactants and bile salts on PLC activity in S. aureus was assessed to evaluate their potential modulatory effects. Tween 20, Tween 80 (Figure 2A), and sodium deoxycholate (Figure 2B) increased PLC activity at moderate concentrations, while Triton X-100 and sodium taurodeoxycholate showed inhibitory effects at higher doses. In S. aureus D173, all tested surfactants slightly increased growth except Tween 20, which significantly increased growth at 0.125% and 0.25% (w/v), while only Tween 20 supported minimal PLC production at these concentrations, unlike Triton X-100, Tween 80, and sodium cholate, which showed no effect (Elleboudy et al., 2011).

The effect of different divalent cations on S. aureus PLC activity was investigated to determine their stimulatory or inhibitory roles. Zn2+ and Ca2+ markedly increased PLC activity at low to moderate concentrations (Figure 3), Mg2+ produced moderate stimulation, while Ba2+ and Co2+ salts exhibited a strong inhibitory effect (Table 1). This differential response is likely due to the specific interactions of these metals with the enzyme’s active site: Zn2+ and Ca2+ act as cofactors stabilizing the catalytic center and promoting hydrolysis (Goldstein et al., 2012), Mg2+ partially substitutes in the active site or modulates enzyme conformation (Goldstein et al., 2012), whereas Ba2+ and Co2+ are incompatible with active site geometry, causing structural perturbations that inhibit activity (Hough et al., 1989; Little et al., 1982). Similarly, calcium carbonate (0.55 g/L) served as the bivalent cation source to increase PLC activity in P. fluorescens MICAYA 2023 strain (Momtaz et al., 2025). In fact, several PLCs produced by Bacillus strains require a millimolar concentration of Mg2+, Zn2+, or Ca2+. The highest PLC production from S. aureus D183 was observed when K2SO4 was replaced with Na2SO4, while the combined removal of CaCl2, MgCl2, and K2SO4 had no enhancing effect. This highlights that specific salts can modulate enzyme synthesis, possibly by affecting ionic balance or cofactor availability in the growth medium (Elleboudy et al., 2011).

To investigate the relationship between enzyme synthesis and bacterial growth, PLC production and biomass accumulation were monitored over a 96-h fermentation period. Both PLC activity and biomass reached their maximum at 34 h before progressively declining, indicating that enzyme production was closely associated with the exponential growth phase (Figure 4). The timing of maximal PLC production varies among bacterial strains and is influenced by several factors, including strain-specific metabolic rates, growth kinetics, environmental adaptations, genetic regulation, and culture conditions. Indeed, it is widely described that the incubation period, which can range from 24 h to a week depending on the type of microbe and culture conditions, has a significant impact on the production of microbial enzymes (Contesini et al., 2018). The effect of incubation period on PLC production by P. fluorescens MICAYA at 28 °C during 72 h showed maximum activity of 53.03 U/mL at 20 h (Momtaz et al., 2025). PLC from B. mycoides strain 970 (B. mycoides) and B. thuringiensis (B. thuringiensis) recovered from Egyptian soil were cultured until maximum activity after 20 h and 24 h, respectively (Wang et al., 2010; Elleboudy et al., 2016). For S. aureus D173, growth peaked at 24 h and declined after 48 h, while PLC production began at 24 h, reaching its maximum at 36 h (Elleboudy et al., 2011).

The catalytic behavior of PLC was evaluated under different temperature and pH conditions to identify the optimal parameters for enzyme activity. Maximum PLC activity was observed at 37 °C (Figure 5A) and pH 7.5 (Figure 5B), with reduced activity recorded at higher temperatures and at more acidic or alkaline pH values. These findings highlight that S. aureus PLC exhibits the highest activity at 37 °C and pH 7.5 conditions that align with the human host environment, supporting its potential role in virulence (Khelissa et al., 2017). Similarly, B. mycoides strain 970 and B. thuringiensis displayed maximal PLC activity at 30 °C and pH 7.0 (Wang et al., 2010; Elleboudy et al., 2016). Likewise, PLC from P. fluorescens MICAYA 2023 presented the highest enzymatic activity at pH 6.5 and 48.5 °C (Momtaz et al., 2025). S. aureus D173 showed considerable growth and PLC production only at temperatures of 25 °C, 30 °C, and 37 °C (Elleboudy et al., 2011). Table 5 summarizes the optimal culture and physicochemical conditions for PLCS.a production along with the corresponding enzyme activities. These results highlight the key factors influencing PLC yield and provide a basis for future optimization using multivariate approaches such as response surface methodology (RSM).

Table 5
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Table 5. Summary of optimum conditions for PLC production by Staphylococcus aureus.

To assess the biochemical properties of PLCS.a, the enzyme was purified through successive chromatographic steps, leading to a progressive enrichment in specific activity and purification fold. The stepwise purification strategy yielded a highly enriched PLCS.a preparation (16.56-fold purification, 37.3% recovery), confirming the efficiency of the protocol and allowing reliable biochemical and functional characterization (Table 2). SDS-PAGE analysis revealed a single, sharp band at approximately 30 kDa (Figure 6B), confirmed with MALDI-TOF spectra (Figure 6C). This molecular mass was slightly lower than that of the recombinant PI-PLC from S. aureus with 32 KDa (Daugherty and Low, 1993) and slightly higher than several previously reported recombinant PLCs, including those from B. cereus (Pomerantsev et al., 2003) and B. thuringiensis (Elleboudy et al., 2016) with 28 KDa. However, it was much lower than the PLC from B. mycoides strain 970, which has a molecular mass of 75.1 kDa (Wang et al., 2010).

For enzymes to perform efficiently in industrial settings, stability must be improved. The stabilization approach and support material depend on the intended application. Common strategies include immobilization, protein engineering, chemical modification, and soluble additives. Of these, immobilization is most widely used because it enhances enzyme reuse, tolerance to harsh conditions, and simplifies recovery from reaction mixtures (Wahab, 2025). The immobilization of purified PLCS.a was most efficient on biopolymeric supports, particularly CAC (82%), whereas inorganic carriers such as CaCO3, silica, and Celite exhibited markedly lower yields (48%–31%) (Table 3). These results are consistent with the well-documented effects of alginate, a versatile biopolymer with favorable physical and chemical properties for protein binding. Alginate-based immobilization is known to increase catalytic activity and stability with minimal drawbacks, owing to its specific interactions with proteins, which are influenced by ionic strength, pH, and metal ions (Chaudhari et al., 2015). However, the use of CA alone is often limited by biomolecule leakage, low mechanical strength, and relatively large pore size (Zhou et al., 2010). Various modifications have been developed to overcome these limitations, including covalent crosslinking with polymers such as chitosan or polyacrylic acid, and surface coating with reagents like poly-L-lysine or glutaraldehyde (Zhou et al., 2010). In agreement with these reports, our results show that CAC and CAG achieved higher immobilization efficiencies than CA alone.

Enzyme immobilization represents an effective strategy for tailoring and improving biocatalytic performance. It can influence key characteristics such as catalytic efficiency, substrate specificity, tolerance to fluctuations in pH and temperature, and the ability to be reused over successive reaction cycles (Hussain et al., 2023). These advantages are especially apparent in applied contexts, as reflected by the enhanced storage stability observed for immobilized PLC compared to its free form (Figure 7). CAC-immobilized PLC exhibited significantly enhanced storage stability compared to the free enzyme, maintaining higher activity over prolonged periods at both 4 °C and 25 °C (Figure 7). Similarly, numerous studies have shown that immobilization is a reliable approach for maintaining enzyme activity and substantially extending shelf life, thereby providing more consistent and durable performance in catalytic processes (Cavalcante et al., 2021).

Addressing industrial demands for higher productivity and longer shelf life, enzyme immobilization increases substrate availability and turnover over extended periods while improving activity and stability across a broader pH and temperature range, supporting large-scale, cost-effective applications (Khan et al., 2021). In this line, the effects of temperature and pH on the activity of both free and CAC-immobilized PLC were examined to assess how immobilization influences enzyme stability and catalytic performance (Figure 8). Immobilization on CAC slightly shifted the optimal temperature and pH of PLC and increased its activity under higher temperatures and more alkaline conditions compared to the free enzyme (Figures 8A,B). These results indicate that CAC-PLC not only slightly shifts the optimal conditions for PLC activity but also significantly enhances enzyme stability under both high temperature and alkaline conditions. Similar results were reported for PLCBC from B. cereus (CICC-21688), where immobilization shifted the enzyme optima from pH 7.0 to 7.5 and from 55 °C to 60 °C, indicating increased stability (Yu et al., 2022). Yu et al. explained this stabilization by ionic interactions between negatively charged enzyme groups and positively charged carrier groups. Immobilization on the magnetic carrier further preserved PLCBC conformation, broadened its optimal temperature range, and enhanced heat resistance through multipoint covalent bonding (Liu et al., 2019). CAC immobilization significantly enhanced the thermal and pH stability of PLC, allowing the enzyme to retain higher activity at increased temperatures and more extreme pH values than the free form (Figures 8C,D). Current data indicate that immobilization on CAC slightly shifts the enzyme’s optimal temperature and pH toward higher values and markedly enhances its stability under thermal and pH stress compared to the free enzyme. This aligns with previous studies showing that immobilization modifies enzyme properties through structural changes and the physicochemical nature of the support, thereby affecting enzyme function and applications (Khan et al., 2021).

The immobilization performance of phospholipases is strongly influenced by support characteristics such as pore size and surface architecture. Large pore diameters facilitate enzyme entry and reduce steric hindrance, which otherwise limits substrate accessibility and catalytic turnover. Conversely, supports with small or irregular pores may restrict conformational mobility of the enzyme, leading to reduced activity or stability. This observation is consistent with previous studies showing that pore size critically determines the performance of immobilized enzymes (Bayne et al., 2013) and that mesoporous silica nanospheres with optimized pore architecture enhance enzyme accessibility and catalytic efficiency (Kothalawala et al., 2022). In our case, the relatively high activity recovery observed after immobilization suggested that the support provided sufficient porosity and minimal steric restriction to maintain catalytic function.

Bile salts, acting as amphipathic detergents, enhance PLC activity by improving substrate accessibility and facilitating catalytic turnover, an effect that is particularly valuable for industrial applications such as enzymatic oil degumming, where increased enzyme efficiency leads to cleaner and more sustainable vegetable oil refining processes (Alonazi et al., 2023). Both free and CAC-immobilized PLC exhibited a concentration-dependent increase in activity with bile salts, achieving full activity at lower concentrations with NaTDC than with NaDC (Figure 9A). The rise in PLC activity with increasing bile salt concentrations can be attributed to detergent-induced conformational changes that favor a more active enzyme state. In addition, bile salts enhance substrate accessibility by forming mixed micelles and reducing product inhibition, collectively facilitating faster hydrolysis (El-Sayed and Roberts, 1985).

Regarding the bivalent cation effect, both free and CAC-immobilized PLC were strongly activated by Ca2+, Zn2+, and Mn2+ at specific optimal concentrations, with Zn2+ producing the highest stimulation, while higher concentrations of all metals led to decreased activity (Figures 9B,C). A similar behavior has been reported for PLC from B. mycoides strain 970; its activity was strongly dependent on Ca2+, Ba2+, Zn2+, Mn2+, and Mg2+ (Wang et al., 2010). These findings are in line with the described bacterial PLCs that are classified among metalloenzymes, with a tri-metal zinc center that is critical for efficient phospholipid hydrolysis (Lyu et al., 2016). Indeed, the crystal structure of B. cereus PLCBC reveals that its active site contains three zinc ions, positioned in close proximity to residues essential for catalysis (Hough et al., 1989). Enzyme activity reaches its maximum when each protein molecule binds two or three Zn2+ ions. Furthermore, studies have shown that other divalent cations, such as Mg2+ or Ca2+, can substitute for zinc in the active site during catalysis, influencing hydrolysis efficiency (Hansen et al., 1993).

The substrate specificity of PLC is crucial for its application in enzymatic degumming of vegetable oils, where it efficiently hydrolyzes phospholipids such as PC, PE, and PS, leading to improved oil yield and quality (Lyu et al., 2016). Both free and CAC-immobilized PLC displayed broad substrate specificity, with immobilization generally increasing hydrolysis rates across most phospholipids, particularly cardiolipin (Table 4). Despite the observed improvements in activity, the substrate specificity of the immobilized CAC-PLC remained largely unchanged. It can be due to the fact that immobilization primarily affects the enzyme’s stability and catalytic efficiency rather than its substrate recognition (Khan et al., 2021). Although broad substrate specificity has been reported for PLCs from Bacillus species and other bacterial strains, which efficiently hydrolyze phospholipids such as PC, PE, PG, and PS (Alonazi et al., 2023), the PLC from S. aureus has been described as highly specific for phosphatidylinositol (PI), functioning essentially as a PI-PLC (Daugherty and Low, 1993). This result highlights the diversity in substrate preferences among bacterial PLCs and may reflect differences in physiological roles or biotechnological applications. In 2012, the crystal structure of S. aureus PI-PLC (strain FPR3757) revealed that the enzyme is highly active toward PI/PC vesicles but not pure PI. Its activity is associated with a significant conformational change in the rim mobile loop, driven by a titratable π–cation interaction involving histidine. Such interactions, commonly observed in proteins, contribute to enzyme stability and function (Goldstein et al., 2012).

Phospholipids in crude vegetable oils can cause dark coloration and the development of off-flavors during storage, making their removal a critical step for producing high-quality oil with phosphorus levels below 10 mg/kg (Borrelli and Trono, 2015). In industrial oil refining, hydratable phospholipids are typically removed by water degumming, while non-hydratable forms require chemical or enzymatic treatments, most commonly using phospholipases. Enzymatic degumming offers several advantages, including higher oil yield, reduced use of acids and alkalis, lower wastewater production, minimized environmental impact, and decreased operating costs (Bora, 2013). Among phospholipases, PLCs are particularly effective, generating oil-soluble sn-1,2-diacylglycerols (DAGs) with nutritional value and water-soluble organophosphates (Elleboudy et al., 2016). Soybean oil, the most widely consumed vegetable oil, contains a diverse mixture of lysophospholipids, PC, PI, DAGs, TAGs, and glycolipids (Eddehech et al., 2023). CAC-immobilized PLC significantly accelerated soybean oil degumming compared to the free enzyme, achieving near-complete phosphorus removal within 10 h (Figure 10A), and demonstrated good operational stability by retaining substantial activity over multiple reuse cycles, with more than 50% activity maintained even after ten cycles (Figure 10C). Several studies reported the efficiency of free bacterial PLC in degumming oil, especially from Bacillus strains. Indeed, purified PLC from B. stearothermophilus efficiently reduced phosphorus content in soybean oil to 35 mg/kg while simultaneously increasing the release of diacylglycerols (Alonazi et al., 2023). The recombinant PI-PLC enzyme from the B. thuringiensis decreased the phosphorus content of soybean oil down to 30.87 mg/kg (Eddehech et al., 2023). Moreover, oil degumming experiments showed that a double mutant of PLC from Talaromyces islandicus outperformed the wild-type, reducing residual phosphorus to 78 ppm compared to 131 ppm (Tang et al., 2025). A recombinant PI-PLC from L. sphaericus, produced at high yield (∼14 g/L) in E. coli, efficiently hydrolyzed crude oil phospholipids. Pilot-scale degumming confirmed by NMR provided an extra 2.13% oil yield compared to aqueous methods, highlighting its feasibility as a cost-effective process for industrial oil refining (Cerminati et al., 2017). TtPLC from Bacillus licheniformis MTCC 7445 effectively reduced residual phosphorus in crude soybean oil from 135.4 mg/kg to 7.9 mg/kg under optimized conditions, meeting the standards for environmentally friendly physical refining (Xiang et al., 2020).

Compared to bacterial PLCs from Bacillus and Pseudomonas, the PLCS. a provided unique value by combining biomedical and biotechnological relevance. Unlike Bacillus PLCs, which typically display broader phospholipid specificity and higher thermal tolerance, PLCS.a is essentially a PI-specific enzyme that operates optimally at 37 °C and pH 7.5, conditions that mirror the human host environment. This dual alignment with virulence and physiological conditions makes it of particular interest for therapeutic studies as well as industrial use. In addition, while PLCs from Bacillus and Pseudomonas strains are well known for their role in enzymatic oil degumming, the present work shows that immobilized PLCS.a achieves rapid phosphorus removal and retains more than 50% activity after ten reuse cycles, highlighting good operational stability. These findings indicate that PLCS.a can perform comparably to established bacterial PLCs in biocatalytic processes, while also offering added value as a medically relevant enzyme, thus expanding the repertoire of microbial PLCs available for both industrial and biomedical applications.

5 Conclusion

This study demonstrated that immobilization of PLCS.a on CAC significantly increased its stability, catalytic efficiency, and reusability for soybean oil degumming. The immobilized enzyme efficiently reduced phosphorus content to below industrial standards and retained substantial activity over multiple reuse cycles, confirming its potential as a cost-effective and environmentally sustainable alternative for large-scale vegetable oil refining. These findings underscore the industrial relevance of immobilized PLCS.a, offering a promising strategy to improve oil yield while minimizing chemical usage and wastewater generation. Future perspectives include scaling up the process, further optimization using multivariate approaches such as RSM, and exploring other microbial PLCs to expand the toolbox of enzymes suitable for industrial applications.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.

Author contributions

AA: Writing – review and editing. NK: Writing – review and editing, Writing – original draft. MA: Writing – review and editing. EA: Writing – review and editing. HH: Writing – review and editing. AB: Writing – review and editing, Writing – original draft.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. The authors would like to thank Ongoing Research Funding Program, (ORFFT-2025-099-1), King Saud University, Riyadh, Saudi Arabia for financial support.

Acknowledgements

The authors would like to thank Ongoing Research Funding Program, (ORFFT-2025-099-1), King Saud University, Riyadh, Saudi Arabia for financial support.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

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References

Alonazi, M. (2024). Staphylococcus aureus alkaline protease: a promising additive for industrial detergents. Catalysts 14, 446. doi:10.3390/catal14070446

CrossRef Full Text | Google Scholar

Alonazi, M., Krayem, N., Alzahrani, A. A., Horchani, H., and Ben Bacha, A. (2023). Novel phospholipase C with high catalytic activity from a Bacillus stearothermophilus strain: an ideal choice for the oil degumming process. Processes 11, 3310. doi:10.3390/pr11123310

CrossRef Full Text | Google Scholar

Ateş, S., and Mehmetoğlu, Ü. (1997). A new method for immobilization of β-galactosidase and its utilization in a plug flow reactor. Process Biochem. 32, 433–436. doi:10.1016/s0032-9592(96)00101-x

CrossRef Full Text | Google Scholar

Bacha, A. B., and Alonazi, M. (2024). Effective soybean oil degumming by immobilized phospholipases A2 from Walterinnesia aegyptia venom. ACS Omega 9, 21322–21332. doi:10.1021/acsomega.4c01558

PubMed Abstract | CrossRef Full Text | Google Scholar

Bacha, A. B., Al-Assaf, A., Moubayed, N. M., and Abid, I. (2018). Evaluation of a novel thermo-alkaline Staphylococcus aureus lipase for application in detergent formulations. Saudi J. Biol. Sci. 25, 409–417. doi:10.1016/j.sjbs.2016.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Bayne, L., Ulijn, R. V., and Halling, P. J. (2013). Effect of pore size on the performance of immobilised enzymes. Chem. Soc. Rev. 42, 9000–9010. doi:10.1039/c3cs60270b

PubMed Abstract | CrossRef Full Text | Google Scholar

Ben Bacha, A., Moubayed, N. M., and Al-Assaf, A. (2016). An organic solvent-stable lipase from a newly isolated Staphylococcus aureus ALA1 strain with potential for use as an industrial biocatalyst. Biotechnol. Appl. Biochem. 63, 378–390. doi:10.1002/bab.1381

PubMed Abstract | CrossRef Full Text | Google Scholar

Bora, L. (2013). Characterization of novel phospholipase C from Bacillus licheniformis MTCC 7445 and its application in degumming of vegetable oils. Appl. Biochem. Microbiol. 49, 555–561. doi:10.1134/s0003683813060197

CrossRef Full Text | Google Scholar

Bornscheuer, U. T. (2018). Enzymes in lipid modification. Annu. Rev. Food Sci. Technol. 9, 85–103. doi:10.1146/annurev-food-030117-012336

PubMed Abstract | CrossRef Full Text | Google Scholar

Borrelli, G. M., and Trono, D. (2015). Recombinant lipases and phospholipases and their use as biocatalysts for industrial applications. Int. J. Mol. Sci. 16, 20774–20840. doi:10.3390/ijms160920774

PubMed Abstract | CrossRef Full Text | Google Scholar

Boyjoo, Y., Pareek, V. K., and Liu, J. (2014). Synthesis of micro and nano-sized calcium carbonate particles and their applications. J. Mater Chem. A 2, 14270–14288. doi:10.1039/C4TA02070G

CrossRef Full Text | Google Scholar

Bradford, M. M. (1976). A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 72, 248–254. doi:10.1016/0003-2697(76)90527-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Cavalcante, F. T. T., Cavalcante, A. L. G., De Sousa, I. G., Neto, F. S., and Dos Santos, J. C. S. (2021). Current status and future perspectives of supports and protocols for enzyme immobilization. Catalysts 11, 1222. doi:10.3390/catal11101222

CrossRef Full Text | Google Scholar

Cerminati, S., Eberhardt, F., Elena, C. E., Peirú, S., Castelli, M. E., and Menzella, H. G. (2017). Development of a highly efficient oil degumming process using a novel phosphatidylinositol-specific phospholipase C enzyme. Appl. Microbiol. Biotechnol. 101, 4471–4479. doi:10.1007/s00253-017-8201-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Cerminati, S., Paoletti, L., Aguirre, A., Peirú, S., Menzella, H. G., and Castelli, M. E. (2019). Industrial uses of phospholipases: current state and future applications. Appl. Microbiol. Biotechnol. 103, 2571–2582. doi:10.1007/s00253-019-09658-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Chaudhari, S. A., Kar, J. R., and Singhal, R. S. (2015). Immobilization of proteins in alginate: functional properties and applications. Curr. Org. Chem. 19, 1732–1754. doi:10.2174/1385272819666150429232110

CrossRef Full Text | Google Scholar

Choueiry, F., Xu, R., and Zhu, J. (2022). Adaptive metabolism of Staphylococcus aureus revealed by untargeted metabolomics. J. Proteome Res. 21, 470–481. doi:10.1021/acs.jproteome.1c00797

PubMed Abstract | CrossRef Full Text | Google Scholar

Contesini, F. J., Melo, R. R. de, and Sato, H. H. (2018). An overview of bacillus proteases: from production to application. Crit. Rev. Biotechnol. 38, 321–334. doi:10.1080/07388551.2017.1354354

PubMed Abstract | CrossRef Full Text | Google Scholar

Daugherty, S., and Low, M. G. (1993). Cloning, expression, and mutagenesis of phosphatidylinositol-specific phospholipase C from staphylococcus aureus: a potential staphylococcal virulence factor. Infect. Immun. 61, 5078–5089. doi:10.1128/iai.61.12.5078-5089.1993

PubMed Abstract | CrossRef Full Text | Google Scholar

Dos Passos, R. M., Da Silva, R. M., De Almeida Pontes, P. V., Morgano, M. A., Meirelles, A. J. A., Stevens, C. V., et al. (2022). Phospholipase cocktail: a new degumming technique for crude soybean oil. LWT 159, 113197. doi:10.1016/j.lwt.2022.113197

CrossRef Full Text | Google Scholar

Eddehech, A., Rahier, R., Donnarumma, D., Rigano, F., Noiriel, A., Abousalham, A., et al. (2023). Development of a highly efficient oil degumming process using a novel phosphatidylinositol-specific phospholipase C enzyme from Bacillus thuringiensis PL14. Food Biosci. 53, 102579. doi:10.1016/j.fbio.2023.102579

CrossRef Full Text | Google Scholar

El-Sayed, M. Y., and Roberts, M. F. (1985). Charged detergents enhance the activity of phospholipase C (bacillus cereus) towards micellar short-chain phosphatidylcholine. Biochim. Biophys. Acta BBA-Protein Struct. Mol. Enzymol. 831, 133–141. doi:10.1016/0167-4838(85)90160-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Elena, C., Cerminati, S., Ravasi, P., Rasia, R., Peiru, S., Menzella, H. G., et al. (2017). B. Cereus phospholipase C engineering for efficient degumming of vegetable oil. Process Biochem. 54, 67–72. doi:10.1016/j.procbio.2017.01.011

CrossRef Full Text | Google Scholar

Elleboudy, N. S., Aboulwafa, M. M., and Hassouna, N. A. (2011). Characterization of phospholipase C productivity by Pseudomonas aeruginosa, bacillus cereus and Staphylococcus aureus isolates.

Google Scholar

Elleboudy, N. S., Elkhatib, W. F., Aboulwafa, M. M., and Hassouna, N. A.-H. (2016). Production and characterization of phospholipases C from some Bacillus thuringiensis isolates recovered from Egyptian soil. Int. J. Biotechnol. Wellness Ind. 5, 10–24. doi:10.6000/1927-3037.2016.05.01.3

CrossRef Full Text | Google Scholar

Gharby, S. (2022). Refining vegetable oils: Chemical and physical refining. Sci. World J. 2022, 1–10. doi:10.1155/2022/6627013

PubMed Abstract | CrossRef Full Text | Google Scholar

Goldstein, R., Cheng, J., Stec, B., and Roberts, M. F. (2012). Structure of the S. aureus PI-specific phospholipase C reveals modulation of active site access by a titratable π-cation latched loop. Biochemistry 51, 2579–2587. doi:10.1021/bi300057q

PubMed Abstract | CrossRef Full Text | Google Scholar

Gonzalez, J. M., and Aranda, B. (2023). Microbial growth under limiting conditions-future perspectives. Microorganisms 11, 1641. doi:10.3390/microorganisms11071641

PubMed Abstract | CrossRef Full Text | Google Scholar

Griffith, O. H., and Ryan, M. (1999). Bacterial phosphatidylinositol-specific phospholipase C: structure, function, and interaction with lipids. Biochim. Biophys. Acta BBA-Mol. Cell Biol. Lipids 1441, 237–254. doi:10.1016/s1388-1981(99)00153-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Hansen, S., Hansen, L. K., and Hough, E. (1993). The Crystal Structure of Tris-inhibited Phospholipase C from Bacillus cereus at 1· 9 Å resolution: the nature of the metal ion in site 2. J. Mol. Biol. 231, 870–876. doi:10.1006/jmbi.1993.1333

PubMed Abstract | CrossRef Full Text | Google Scholar

Hewick, R. M., Hunkapiller, M. W., Hood, L. E., and Dreyer, W. J. (1981). A gas-liquid solid phase peptide and protein sequenator. J. Biol. Chem. 256, 7990–7997. doi:10.1016/s0021-9258(18)43377-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Hough, E., Hansen, L. K., Birknes, B., Jynge, K., Hansen, S., Hordvik, A., et al. (1989). High-resolution (1.5 Å) crystal structure of phospholipase C from bacillus cereus. Nature 338, 357–360. doi:10.1038/338357a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Hussain, M., Khan, I., Jiang, B., Zheng, L., Pan, Y., Hu, J., et al. (2023). Lipases: sources, immobilization techniques, and applications. Int. J. Environ. Agric. Biotechnol. 8, 094–121. doi:10.22161/ijeab.86.12

CrossRef Full Text | Google Scholar

Jesionowski, T., Zdarta, J., and Krajewska, B. (2014). Enzyme immobilization by adsorption: a review. Adsorption 20, 801–821. doi:10.1007/s10450-014-9623-y

CrossRef Full Text | Google Scholar

Jiang, X., Chang, M., Jin, Q., and Wang, X. (2015). Application of phospholipase A1 and phospholipase C in the degumming process of different kinds of crude oils. Process Biochem. 50, 432–437. doi:10.1016/j.procbio.2014.12.011

CrossRef Full Text | Google Scholar

Khan, M. R. (2021). Immobilized enzymes: a comprehensive review. Bull. Natl. Res. Cent. 45, 207. doi:10.1186/s42269-021-00649-0

CrossRef Full Text | Google Scholar

khelissa, S. O., Jama, C., Abdallah, M., Boukherroub, R., Faille, C., and Chihib, N.-E. (2017). Effect of incubation duration, growth temperature, and abiotic surface type on cell surface properties, adhesion and pathogenicity of biofilm-detached Staphylococcus aureus cells. Amb. Express 7, 191. doi:10.1186/s13568-017-0492-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Kothalawala, S. G., Jiao, J., Speight, R., Song, H., Yang, Y., and Zhang, J. (2022). Pore architecture influences the enzyme immobilization performance of mesoporous silica nanospheres. Microporous Mesoporous Mater 338, 111963. doi:10.1016/j.micromeso.2022.111963

CrossRef Full Text | Google Scholar

Laemmli, U. K. (1970). Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 227, 680–685. doi:10.1038/227680a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Lamas, D. L. (2022). Effect of enzymatic degumming process on the physicochemical and nutritional properties of fish byproducts oil. Appl. Food Res. 2, 100170. doi:10.1016/j.afres.2022.100170

CrossRef Full Text | Google Scholar

Lee, B.-B., Ravindra, P., and Chan, E.-S. (2013). Size and shape of calcium alginate beads produced by extrusion dripping. Chem. Eng. Technol. 36, 1627–1642. doi:10.1002/ceat.201300230

CrossRef Full Text | Google Scholar

Little, C., Aakre, S. E., Rumsby, M. G., and Gwarsha, K. (1982). Effect of Co2+-substitution on the substrate specificity of phospholipase C from bacillus cereus during attack on two membrane systems. Biochem. J. 207, 117–121. doi:10.1042/bj2070117

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, D., Yao, K., Li, J., Huang, Y., Brennan, C. S., Chen, S., et al. (2019). The effect of ultraviolet modification of acetobacter xylinum (CGMCC no. 7431) and the use of coconut milk on the yield and quality of bacterial cellulose. Int. J. Food Sci. Technol. 54, 3099–3108. doi:10.1111/ijfs.14225

CrossRef Full Text | Google Scholar

Luo, S., Wang, W., Zhang, H., Liu, C., Wang, N., Wang, L., et al. (2023). A new strategy for magnetic immobilized phospholipase A1 and its application in soybean oil degumming: multipoint covalent binding. Lwt 186, 115181. doi:10.1016/j.lwt.2023.115181

CrossRef Full Text | Google Scholar

Lyu, Y., Ye, L., Xu, J., Yang, X., Chen, W., and Yu, H. (2016). Recent research progress with phospholipase C from Bacillus cereus. Biotechnol. Lett. 38, 23–31. doi:10.1007/s10529-015-1962-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Marchisio, F., Di Nardo, L., Val, D. S., Cerminati, S., Espariz, M., Rasia, R. M., et al. (2022). Characterization of a novel thermostable phospholipase C from T. kodakarensis suitable for oil degumming. Appl. Microbiol. Biotechnol. 106, 5081–5091. doi:10.1007/s00253-022-12081-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Momtaz, A. A., Nassar, F. R., Nasr, S. A., and Abu-Hussien, S. H. (2025). Production of phospholipase C from Pseudomonas fluorescens MICAYA.

Google Scholar

Pomerantsev, A. P., Kalnin, K. V., Osorio, M., and Leppla, S. H. (2003). Phosphatidylcholine-specific phospholipase C and sphingomyelinase activities in bacteria of the Bacillus cereus group. Infect. Immun. 71, 6591–6606. doi:10.1128/iai.71.11.6591-6606.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Ravasi, P., Braia, M., Eberhardt, F., Elena, C., Cerminati, S., Peirú, S., et al. (2015). High-level production of bacillus cereus phospholipase C in Corynebacterium glutamicum. J. Biotechnol. 216, 142–148. doi:10.1016/j.jbiotec.2015.10.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosu, R., Uozaki, Y., Iwasaki, Y., and Yamane, T. (1997). Repeated use of immobilized lipase for monoacylglycerol production by solid-phase glycerolysis of olive oil. J. Am. Oil Chem. Soc. 74, 445–450. doi:10.1007/s11746-997-0104-2

CrossRef Full Text | Google Scholar

Sampaio, K. A., Zyaykina, N., Uitterhaegen, E., De Greyt, W., Verhé, R., De Almeida Meirelles, A. J., et al. (2019). Enzymatic degumming of corn oil using phospholipase C from a selected strain of Pichia pastoris. LWT 107, 145–150. doi:10.1016/j.lwt.2019.03.003

CrossRef Full Text | Google Scholar

Sheelu, G., Kavitha, G., and Fadnavis, N. W. (2008). Efficient immobilization of lecitase in gelatin hydrogel and degumming of rice bran oil using a spinning basket reactor. J. Am. Oil Chem. Soc. 85, 739–748. doi:10.1007/s11746-008-1261-7

CrossRef Full Text | Google Scholar

Society, A. O. C. (1990). Official methods and recommended practices of the American Oil Chemists’ Society. Champaign, IL, United States: AOCS-Pr.

Google Scholar

Somerville, G. A., and Proctor, R. A. (2009). At the crossroads of bacterial metabolism and virulence factor synthesis in staphylococci. Microbiol. Mol. Biol. Rev. 73, 233–248. doi:10.1128/MMBR.00005-09

PubMed Abstract | CrossRef Full Text | Google Scholar

Strahl, H., and Errington, J. (2017). Bacterial membranes: structure, domains, and function. Annu. Rev. Microbiol. 71, 519–538. doi:10.1146/annurev-micro-102215-095630

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, W., Jiang, D., and Luo, Y. (2005). Immobilized PLA1 by chitosan/alginate microcapsule and study on its structure. Food Sci. 26, 100–103.

Google Scholar

Tang, Y., Lin, Z., Ren, L., Feng, C., Wang, Y., and Wang, F. (2025). Enhancing the thermostability of phospholipase C by structural-based proline incorporation to improve its degumming performance. Appl. Biochem. Biotechnol. 197, 4837–4849. doi:10.1007/s12010-025-05271-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Tracey, T. J., Steyn, F. J., Wolvetang, E. J., and Ngo, S. T. (2018). Neuronal lipid metabolism: multiple pathways driving functional outcomes in health and disease. Front. Mol. Neurosci. 11, 10. doi:10.3389/fnmol.2018.00010

PubMed Abstract | CrossRef Full Text | Google Scholar

Troitzsch, A., Loi, V. V., Methling, K., Zühlke, D., Lalk, M., Riedel, K., et al. (2021). Carbon source-dependent reprogramming of anaerobic metabolism in Staphylococcus aureus. J. Bacteriol. 203, e00639-20. doi:10.1128/jb.00639-20

PubMed Abstract | CrossRef Full Text | Google Scholar

Vitko, N. P., Grosser, M. R., Khatri, D., Lance, T. R., and Richardson, A. R. (2016). Expanded glucose import capability affords Staphylococcus aureus optimized glycolytic flux during infection. mBio 7, e00296-16–16. doi:10.1128/mBio.00296-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Wahab, W. A. A. (2025). Review of research progress in immobilization and chemical modification of microbial enzymes and their application. Microb. Cell Factories 24, 167. doi:10.1186/s12934-025-02791-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, C. G., Chen, M. K., and Chen, T. (2010). Improved purification and some properties of a novel phospholipase C from Bacillus mycoides strain 970. Afr. J. Microbiol. Res. 4, 396–399.

Google Scholar

Weining, W., Tang, H., Chen, Y., Liu, J., Yu, D., Yang, F., et al. (2022). Chemically modified magnetic immobilized phospholipase A1 and its application for soybean oil degumming. J. Food Sci. Technol. 59, 317–326. doi:10.1007/s13197-021-05017-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiang, M., Wang, L., Yan, Q., Jiang, Z., and Yang, S. (2020). High-level expression and characterization of a novel phospholipase C from Thielavia terrestris suitable for oil degumming. Int. J. Biol. Macromol. 156, 740–748. doi:10.1016/j.ijbiomac.2020.04.104

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, Y., Lee, M., and Fairn, G. D. (2018). Phospholipid subcellular localization and dynamics. J. Biol. Chem. 293, 6230–6240. doi:10.1074/jbc.R117.000582

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, D., Jiang, L., Li, Z., Shi, J., Xue, J., and Kakuda, Y. (2012). Immobilization of phospholipase A1 and its application in soybean oil degumming. J. Am. Oil Chem. Soc. 89, 649–656. doi:10.1007/s11746-011-1943-4

CrossRef Full Text | Google Scholar

Yu, D., Wang, N., Gong, Y., Wu, Z., Wang, W., Wang, L., et al. (2022). Screening of active sites and study on immobilization of Bacillus cereus phospholipase C. LWT 159, 113245. doi:10.1016/j.lwt.2022.113245

CrossRef Full Text | Google Scholar

Zhou, Z., Li, G., and Li, Y. (2010). Immobilization of Saccharomyces cerevisiae alcohol dehydrogenase on hybrid alginate–chitosan beads. Int. J. Biol. Macromol. 47, 21–26. doi:10.1016/j.ijbiomac.2010.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, M., Ai, Z., Zhao, Q., and Dai, Q. (2004). Immobilization of α-amylase in calcium alginate-gelatin hydrogels. Food Sci. 25, 64–68.

Google Scholar

Zwaal, R. F. A., Roelofsen, B., Comfurius, P., and Van Deenen, L. L. M. (1971). Complete purification and some properties of phospholipase C from Bacillus cereus. Biochim. Biophys. Acta BBA-Biomembr. 233, 474–479. doi:10.1016/0005-2736(71)90347-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: phospholipase C, Staphylococcus aureus, enzyme immobilization, calcium alginate-chitosan, enzyme stability, soybean oil degumming, reusability

Citation: Alzahrani AA, Krayem N, Alonazi M, Al-Shehri E, Horchani H and Ben Bacha A (2025) Immobilized Staphylococcus aureus phospholipase C on calcium alginate-chitosan: improved performance and industrial potential in soybean oil refining. Front. Bioeng. Biotechnol. 13:1706906. doi: 10.3389/fbioe.2025.1706906

Received: 16 September 2025; Accepted: 13 October 2025;
Published: 07 November 2025.

Edited by:

Selin Şahin Sevgili, Istanbul University, Türkiye

Reviewed by:

Ayswarya Ravi, Corteva Agriscience, United States
Irem Toprakci Yuksel, Istanbul University-Cerrahpasa, Türkiye

Copyright © 2025 Alzahrani, Krayem, Alonazi, Al-Shehri, Horchani and Ben Bacha. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Abir Ben Bacha, YWFsZ2hhbm91Y2hpQGtzdS5lZHUuc2E=

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