Skip to main content

ORIGINAL RESEARCH article

Front. Nutr., 13 January 2022
Sec. Food Chemistry
Volume 8 - 2021 | https://doi.org/10.3389/fnut.2021.812803

Simultaneous Quantification of Chloramphenicol, Thiamphenicol, Florfenicol, and Florfenicol Amine in Animal and Aquaculture Products Using Liquid Chromatography-Tandem Mass Spectrometry

Hae-Ni Jung1 Da-Hee Park1 Yeon-Jae Choi1 Se-Hyeong Kang1 Hee-Jung Cho1 Jeong-Min Choi1 Jae-Han Shim2 Ahmed A. Zaky3 A. M. Abd El-Aty4,5* Ho-Chul Shin1*
  • 1Department of Veterinary Pharmacology and Toxicology, College of Veterinary Medicine, Konkuk University, Seoul, South Korea
  • 2Natural Products Chemistry Laboratory, College of Agriculture and Life Sciences, Chonnam National University, Gwangju, South Korea
  • 3Department of Food Technology, National Research Centre, Cairo, Egypt
  • 4Department of Pharmacology, Faculty of Veterinary Medicine, Cairo University, Giza, Egypt
  • 5Department of Medical Pharmacology, Medical Faculty, Ataturk University, Erzurum, Turkey

The accumulation of antimicrobial residues in edible animal products and aquaculture products could pose health concerns to unsuspecting consumers. Hence, this study aimed to develop a validated method for simultaneous quantification of chloramphenicol (CAP), thiamphenicol (TAP), florfenicol (FF), and florfenicol amine (FFA) in beef, pork, chicken, shrimp, eel, and flatfish using a quick, easy, cheap, effective, rugged, and safe (QuEChERS) extraction method coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS). Primary-secondary amine (PSA) and MgSO4 were used for sample purification. The analytes were separated on a reversed-phase analytical column. The coefficients of determination for the linear matrix-matched calibration curves were ≥0.9941. Recovery rates ranged between 64.26 and 116.51% for the four analytes with relative standard deviations (RSDs) ≤ 18.05%. The calculated limits of detection (LODs) and limits of quantification (LOQs) were 0.005–3.1 and 0.02–10.4 μg/kg, respectively. The developed method was successfully applied for monitoring samples obtained from local markets in Seoul, Republic of Korea. The target residues were not detected in any tested matrix. The designed method was versatile, sensitive, and proved suitable for quantifying residues in animal-derived products.

Introduction

The increasing demand for meat products has led to an expansion in intensive animal farming. In 2018, global meat production reached 342 million tons, and fishery and aquaculture production reached 179 million tons (1). Factory farming exposes animals to higher levels of stress and a broader spectrum of diseases (2); thus, the use of antibiotics in animal farming has been steadily increasing (3). Worldwide, 73% of all antimicrobials (mainly antibiotics) are consumed by animals farmed for food (4). Hence, the accumulation of drug residues in edible tissues of animal and fish products is highly likely, which would pose a public health hazard, particularly for the consumers of those products (5). Previous studies have shown that approximately 4% of antimicrobial resistance formed in the human body has been transferred from animals (6). Amphenicols (chloramphenicol (CAP), thiamphenicol (TAP), florfenicol (FF), and florfenicol amine (FFA)) are among the antibiotics that cause resistance. Despite usage regulations, amphenicol antibiotics are widely used illegally by farmers of various animals due to their broad range of effects and low cost (7, 8). Therefore, the quantification of amphenicol antibiotic residual levels in meat and fish products is necessary.

CAP, TAP, FF, and FFA (Supplementary Figure 1) antibiotics belong to the family of amphenicols and are extensively administered to livestock to prevent and treat various infections due to their ability to inhibit the growth of both gram-positive and negative bacteria (9, 10). CAP, the first antibiotic isolated from Streptomyces venezuelae in 1947, binds to the 50S subunit of bacterial ribosomes and inhibits intra-bacterial protein synthesis (10, 11). This drug is highly effective in treating animal diseases; however, it exhibits many toxic effects. Its use is thus restricted in many countries, including the United States, the Republic of Korea, and those in the European Union (EU) (1214). TAP and FF are structural analogs of CAP (15). FF is widely used to prevent and treat bacterial infections in livestock because its bioavailability in many species is considerably higher than tetracycline antibiotics (16, 17). Furthermore, it is used in the aquaculture industry to treat bacterial diseases (18). Following animal administration, FF is partially converted to FFA and florfenicol oxamic acid (19). FFA is a major metabolite of FF in beef, pork, and chicken (20). Therefore, in many countries, FFA has been designated as one of the marker residues indicative of FF presence (21).

Various analytical methods entailing LC-MS/MS have been reported for determining amphenicols in animal tissues following various extraction techniques, either single (22, 23) or multiple analytes (2427). For example, CAP was extracted from seafood products, honey, and royal jelly using methanol by Kikuchi et al. (22). CAP, TAP, FF, and FFA were extracted from poultry, swine, bovine, and fish muscle using liquid-liquid extraction (LLE) (24). Fedeniuk et al. (27) quantified CAP, CAP 3-O-β-d-glucuronide (CAP-GLUC), TAP, FF, and FFA in the bovine, equine, and porcine liver following a modified quick, easy, cheap, effective, rugged, and safe (QuEChERS) extraction method combined with SPE cleanup. However, to the best of our knowledge, few studies have reported the use of the “QuEChERS” method for the simultaneous determination of CAP, TAP, FF, and FFA in a variety of food products (beef, pork, chicken, shrimp, eel, and flatfish).

Hence, the purpose of this study was to establish an accurate and sensitive method using modified QuEChERS extraction methods and LC-MS/MS for the quantification of CAP, TAP, FF, and FFA in commonly consumed products, including beef, pork, chicken, shrimp, eel, and flatfish in a single chromatographic run. This study was conducted based on the maximum residue limits (MRL) established by the Korean Ministry of Food and Drug Safety (KMFDS) and others (2832) (Table 1). The MRL of FF in eel and flatfish (100 μg/kg) is higher than the quantifiable concentration range of the analytical device. Therefore, the reference concentration was lowered to 50 μg/kg. Analytes without a specified MRL were set at 10 μg/kg. The KMFDS has banned the use of CAP in animal products. Thus, it was analyzed based on the minimum required performance limit (MRPL) (0.5 μg/kg) of the KMFDS. The study adhered to the guidelines established by the Codex Alimentarius Commission (33).

TABLE 1
www.frontiersin.org

Table 1. Maximum residue limit (MRL) and minimum required performance limit (MRPL) criteria for six animal-derived food products set by various regulatory authorities.

Materials and Methods

Chemicals, Reagents, and Samples

CAP (99.8% purity, CAS No.: 56-75-7), TAP (99.9% purity, CAS No.: 15318-45-3), FF (99% purity, CAS No.: 73231-34-2), FFA (99.3% purity, CAS No.: 76639-93-5), acetic acid (99.5% purity), ammonium hydroxide solution (NH4OH), and ethylenediaminetetraacetic acid disodium salt (EDTA) solution (0.5 M in H2O) were acquired from Sigma-Aldrich Corporation (St. Louis, MO, USA). HPLC-grade methanol (MeOH; 99.9% purity) and acetonitrile (ACN; 100% purity) were purchased from Pharmaco-Aaper (Brookfield, CT, USA) and JT Baker (Phillipsburg, NJ, USA). QuEChERS dSPE kits (containing 150 mg of primary-secondary amine (PSA) and 900 mg of MgSO4) were obtained from Phenomenex (Torrance, CA, USA). Cellulose acetate membrane filters (0.45 μm) were supplied by MILLEX (Merck Millipore Ltd, Co. Cork, Ireland), and 0.2 μm PTFE syringe filters were sourced from Pall Corporation (Michigan, USA). The polypropylene conical tubes (15 and 50 mL) used throughout the entire experiment were acquired from FALCON (Tamaulipas, Mexico). Ultrapure water (resistivity of 18.2 MΩ.cm at 25°C) was supplied by a Milli-Q water purification system (Millipore, Bedford, MA, USA). All matrices (beef, pork, chicken, shrimp, eel, and flatfish) were procured from local markets in Seoul, Republic of Korea.

Preparation of the Standard Solutions

The primary stock standard solutions of CAP, TAP, and FF (1,000 μg/mL) in MeOH were prepared by reconstituting each drug standard according to its respective purity. The FFA stock solution (200 μg/mL) was prepared by accurately dissolving 2.0 mg of FFA in 1 mL double-distilled water (DDW) and 9 mL of ACN using an AG 285 analytical balance (Mettler Toledo, Seoul, Republic of Korea). The stock solutions were stored in the dark at −20°C and diluted accordingly before analysis. Depending on the levels of validation, the concentrations of the analyte working solutions differed. The mixed working solutions at specific CAP, TAP, FF, and FFA concentrations were prepared by diluting the stock solutions with ACN. All working standard solutions were stored at −20°C and analyzed within a week.

Extraction Procedures

Homogenized beef, pork, chicken, shrimp, eel, and flatfish matrices (2.0 g) were weighed in 50 mL conical tubes. The samples were spiked with 0.2 mL of the working solution and equilibrated for 5 min. Next, a mixture of 1 mL of 0.1M EDTA in DDW and 1 mL of ammonium hydroxide: DDW (2:98, v/v) was added, and the mixture was vortex-mixed for 5 min. Then, 1% acetic acid in a 10 mL ACN was added to beef, pork, and chicken samples, while 10 mL ACN was added to shrimp, eel, and flatfish samples. After vortex-mixing for 10 min, the mixtures were sonicated in an ultrasonic bath (Bransonic 8210 ultrasonic cleaner, Branson Ultrasonics Corporation, Danbury, CT, USA) at 25 °C (40 kHz: 5 min). The samples were centrifuged at 1392 rcf for 15 min at 4°C (Allegra X-15R, Beckman Coulter Inc., Brea, CA, USA), and the supernatants were transferred to tubes containing 150 mg PSA and 900 mg MgSO4. These mixtures were vortexed for 10 min and centrifuged at 1392 rcf for 15 min at 4 °C. The obtained supernatant was transferred to a clean 15 mL conical tube and dried under nitrogen gas at 40 °C using a TurboVap®RV device (Caliper Life Sciences, Hopkinton, USA) to remove all the moisture. Before analysis, the residues were reconstituted in 1 mL ACN: DDW (90:10, v/v), sonicated at 25 °C (40 kHz: 5 min) and centrifuged at 12525 rcf at 4 °C for 15 min. Before LC-MS/MS analysis, the concentrated solutions were filtered through a 0.2 μm PTFE syringe filter and passed through a 0.22-μm filter before LC-MS/MS analysis.

LC-MS/MS Instrumentation and Conditions

Chromatography Conditions

LC-MS/MS analysis was conducted using a Shimadzu high-performance liquid chromatography system (Columbia, MD, USA) equipped with two pumps (LC-30 AD), an autosampler (SIL-30AC), a degasser (DGU-20A5R), and a column oven (CTO-30A). Mass spectrometric detection was performed on a Shimadzu 8060 LC-MS/MS system (Shimadzu Scientific, Inc., MD, USA). Chromatographic separation was achieved on a Phenomenex Luna omega polar C18 100 Å (100 × 2.1 mm, 3 μm) at a column oven temperature of 40 °C and an injection volume of 3 μL. The mobile phases used for separating analytes were (A) DDW and (B) 0.1% acetic acid in ACN. The flow rate was 0.2 mL/min with a linear mobile phase gradient (time (min), % mobile phase B) at the following conditions: (0–1, 10% B); (1–2.5 min, 10%−100% B); (2.5–3.5 min, 100% B); (3.5–3.6 min, 100–10% B); (3.6–6 min, 10% B).

Mass Spectrometry Conditions

An electrospray ionization (ESI) in both positive (ESI+) and negative (ESI–) ion-switching modes were used for the triple quadrupole mass spectrometer (MS/MS). FFA was analyzed in positive ion mode, whereas CAP, TAP, and FF were analyzed in negative ion mode. Multiple reaction monitoring (MRM) mode and LabSolutions (version 5.89, Shimadzu) analyst software was implemented for data collection. The operating conditions of the mass spectrometer were as follows: an interface temperature of 300°C, heat block temperature of 400°C, dwell time of 17 ms, and ion spray voltage of ±3 kV. Individual working standard solutions (0.1 μg/mL) were employed for optimizing the precursor ion, product ion, and collision energy. The fragment [M+H]+ of the precursor ion was employed to identify FFA, whereas the [M–H] ion was selected for CAP, TAP, and FF. The MRM transitions and parameters are presented in Table 2.

TABLE 2
www.frontiersin.org

Table 2. Multiple reaction monitoring (MRM) transitions of the tested drugs.

Method Validation

The following parameters were validated according to KMFDS, 2019: linearity, precision (relative standard deviation, RSD), accuracy (recovery), limits of detection (LODs), and limits of quantification (LOQs). Four drugs were tested according to the specified MRL set by the KMFDS. Matrix-fortified calibration curves achieved linearity at six concentration levels based on Table 3. The calibration curves were constructed by plotting the response factor as a function of drug concentration. The calculated LOD and LOQ were obtained as signal-to-noise ratios of (S/N) ≥3 and S/N ≥10. Accuracies of intra-day (single day, n = 3) and inter-day (three days, n = 9) recovery values were estimated at three spiking levels (CAP: 0.5, 1, and 5 μg/kg; TAP, FF, and FFA: ×1/2, ×1, ×2 of the MRL values). The intra- and inter-day RSD were calculated at the above-listed concentrations. Additionally, matrix effects at a spiking level of 0.5 μg/kg (CAP) and 1MRL values (TAP, FF, and FFA) were calculated for all four amphenicols.

TABLE 3
www.frontiersin.org

Table 3. Method performance for chloramphenicol, thiamphenicol, florfenicol, and florfenicol amine analysis in spiked beef, pork, chicken, shrimp, eel, and flatfish samples.

Statistical Analyses

IBM SPSS Statistics, v25 (NY, USA) was used to compare the various extraction methods. Statistical analysis was performed using one-way ANOVA. Differences were considered significant when P ≤ 0.05.

Results and Discussion

Optimization of Sample Preparation

Various extraction methods were conducted to optimize the sample preparation protocol and achieve the maximum extraction efficiency (recovery rate). As a representative of all the samples, pork was fortified at a concentration rate based on the MRL (CAP: MRPL). The extraction of chopped samples was evaluated in ACN containing acid or base and in MeOH (common extraction solvents used for protein precipitation. The eight extraction conditions were: (a) MeOH, (b) ACN, (c) 1% acetic acid in ACN, (d) 1% formic acid in ACN, (e) ammonium hydroxide: ACN (2:98, v/v), (f) 1 mL of 0.1M EDTA in DDW + 1% acetic acid in ACN, (g) 1 mL of 0.1M EDTA in DDW + ammonium hydroxide: ACN (2:98, v/v), (h) 1 mL of 0.1 M EDTA in DDW + 1 mL of ammonium hydroxide: DDW (2:98, v/v) + 1% acetic acid in CAN (26, 27, 3437). The recovery rates for each condition are shown in Figure 1. The recovery rate of FFA using (h) (79.13%) was 10%−60% higher than achieved under other conditions, which were: (a) 42.82%, (b) 40.21%, (c) 51.86%, (d) 20.56%, (e) 41.95%, (f) 70.99%, and (g) 31.23%. Furthermore, employing (h), the recovery rates of CAP, TAP, and FF were 82.76, 74.16, and 87.99 %, respectively. However, conditions (h) did not provide a satisfactory recovery rate of FFA from fishery products (shrimp: 59.26%, eel: 58.79%, and flatfish: 43.93%). The use of ACN (without acetic acid) as an extraction solvent increased the recovery rate of shrimp (85.81%), eel (96.55%), and flatfish (86.42%) (Figure 2). Therefore, the selected extraction solvent for beef, pork, and chicken was 0.1 M EDTA in DDW + ammonium hydroxide: DDW (2:98, v/v) + 1% acetic acid in ACN and 0.1 M EDTA in DDW + ammonium hydroxide: DDW (2:98, v/v) + ACN for shrimp, eel, and flatfish.

FIGURE 1
www.frontiersin.org

Figure 1. Extraction efficiencies of various solvents for the tested analytes in pork. The pork was fortified at a concentration rate of CAP: 1 μg/kg, TAP: 50 μg/kg, FF: 10 μg/kg, and FFA: 150 μg/kg for each extraction protocol. (h) was used as a control group. Statistical analysis (IBM SPSS Statistics, v25, NY, USA) was conducted using one-way ANOVA analysis. *P < 0.05; **P < 0.01; and ***P < 0.001 were considered statically significant.

FIGURE 2
www.frontiersin.org

Figure 2. Comparison of extraction methods with or without 1% acetic acid addition for shrimp, eel, and flatfish. Three samples were fortified at their respective MRL (CAP: MRPL) concentrations.

Livestock products contain a higher proportion of endogenous interferences, such as lipids, phospholipids, and fatty acids, than vegetables and fruits; a purification process is necessary (35, 37). Therefore, four purification protocols were compared, namely: (A) 10 mL of n-hexane saturated with ACN, (B) C18 150 mg, (C) PSA 150 mg, C18 150 mg, and MgSO4 900 mg, and (D) PSA 150 mg and MgSO4 900 mg. Recoveries ranging from 71.91 to 89.49% (RSD: 4.80–9.18%), 60.96–82.08% (RSD: 6.52–9.25%), 68.40–88.97% (RSD: 1.64–8.92%), and 79.08–97.52% (RSD: 0.57–3.57%) were obtained under the conditions of (A), (B), (C), and (D), respectively. The recovery rate of condition (D) was the highest with the lowest RSD; thus, it was chosen as the purification method. Then, a high-speed centrifuge was used to remove low-layer impurities and obtain a clearer solution. Additionally, a syringe filter was used for further purification and instrument protection.

LC-MS/MS Conditions

The amphenicol drugs were analyzed using ESI turbo-positive and negative ion modes (positive ion mode: FFA; negative ion mode: CAP, TAP, and FF). All parameters used for quantification in MRM mode are shown in Table 2. For LC-MS/MS analysis, several combinations of mobile phases (A) and (B) were tested due to the significant effect of mobile phase composition on ionization efficiency. The solvents tested in the mobile phase (A) were: DDW, 0.1% acetic acid, 0.2% acetic acid, 0.1% formic acid, 1 mM ammonium formate, and 1 mM ammonium acetate. When acid and ammonium were not added to DDW, the peak intensities were satisfactory, and the peak of FFA was sharp. For solvent (B), ACN, 0.1% acetic acid in ACN, 0.1% formic acid in ACN, and MeOH were compared. When ACN or MeOH was used, peak tailing and peak splitting were observed for CAP, and a messy baseline and weak peak sensitivity were noted for all the drug analytes. ACN with 0.1% acetic acid was chosen as solvent (B) as it provided the sharpest peak shape and high-intensity peaks. Various C18 columns based on a silica hydride support, including basic (such as Phenomenex Luna C18 and Phenomenex Kinetex C18), high-strength silica (such as Waters X-Select HSS C18), extensive pH (such as Phenomenex Kinetex EVO C18), consistent performance in both volatile and non-volatile buffers (such as Phenomenex Gemini-NX C18), and polarity (such as Phenomenex Luna omega polar C18) were compared to obtain optimal peak parameters for the four tested drugs. The use of columns with basic, high-intensity silica, and extensive pH characteristics led to peak broadening/splitting. The Phenomenex Gemini-NX C18 column with consistent performance in volatile and non-volatile buffers gave poor signals and peak tailing for TA and FFA. Hence, the Phenomenex Luna omega polar C18 column (100 × 2.0 mm, 3 μm particle size) with unique polar selectivity was chosen to achieve optimal chromatographic separation.

Method Performance

Specificity and Linearity

Specificity was determined by analyzing blank beef, pork, chicken, shrimp, eel, and flatfish samples (n = 3) spiked with each analyte at a concentration of the MRL values. As shown in Supplementary Figures 2, 3, no interference from endogenous materials was observed.

According to MFDS guidelines (14), matrix-matched calibration curves from the responses of the four drugs were constructed by plotting the peak area of each tested analyte vs. the concentration (CAP: ×1, ×2– ×6 the MRPL values; TAP, FF, and FFA: ×1/2, ×1, and ×2 to ×5 the MRL values, n = 3). The linearity was satisfactory, with coefficients of determination (R2) being ≥0.9941 for all matrices.

LODs, LOQs, and Matrix Effects

As shown in Table 3, the LOD ranges were 0.01–0.02, 0.05–0.1, 0.005–0.02, and 0.6–3.1 μg/kg, and the LOQ ranges were 0.02–0.07, 0.2–0.3, 0.02–0.06, and 1.8–10.4 μg/kg for CAP, TAP, FF, and FFA, respectively. Furthermore, the LODs and LOQs were lower than the MRLs established for each drug. The LOQ of FFA was similar or higher than that in other studies (25, 27); however, the values for the other tested analytes were generally lower.

The matrix effects (MEs) gave rise to either ion suppression or enhancement depending on the matrix. MEs were determined at a spiking level of 0.5 μg/kg (CAP) and 1MRL values (TAP, FF, and FFA) as follows:

MEs(%)=(A-B)/B×100

where A denotes the peak area of the standard in the matrix and B denotes the peak area of the standard in pure solvent. ME ranges were: −70.17 – 11.97% (beef), −67.60 – −7.20% (pork), −68.74 – 9.22% (chicken), −89.20 – 18.92% (shrimp), −84.68 – 3.88% (eel), and −69.76 – 5.59% (flatfish). In general, matrices containing proteins and lipids exhibit significant matrix-specific effects (38). As livestock products contain numerous proteins and fat, matrix-specific effects could not be completely ruled out (39).

Accuracy and Precision

The accuracy (expressed as recovery %) and precision (expressed as RSD%) were evaluated based on the criteria set by the Codex Alimentarius Commission (spiking concentrations: ≤ 1, 1–10, 10–100 and 100–1,000 μg/kg; recoveries: 50–120%, 60–120%, 70–120%, and 70–110%; RSDs: ≤ 35%, ≤ 30%, ≤ 20%, and ≤ 15% for CAP, TAP, FF, and FFA, respectively) (33). Blank samples spiked at three concentration levels (CAP: ×1, ×2, and ×6 the MRPL values; TAP, FF, and FFA: ×1/2, ×1, and ×2 the MRL values) were analyzed (n = 3) on a single day (intra-day) or for three consecutive days (inter-day) (n = 9). As shown in Table 3, the intra-day recovery values and RSDs were 71.66–109.32% and ≤ 18.05%, while the inter-day recovery values and RSDs were 64.26–116.51% and ≤ 14.39% for the four tested drugs in various matrices. These results show that the developed method satisfies the Codex guidelines.

Comparison With Other Methods

As shown in Table 4, most of the studies employed LLE methods for extracting CAP, TAP, FF, and FFA. It has to be noted that only one study used the QuEChERS method; however, the recovery rate was lower than the present study. In addition, none of the studies monitored the analytes in various livestock and fishery products (beef, pork, chicken, shrimp, eel, and flatfish).

TABLE 4
www.frontiersin.org

Table 4. Comparison with other studies. Matrices, extraction methods, analytical devices, recovery rates, LODs, and LOQs were compared for the tested drugs.

Method Application

Commercial samples of beef, pork, chicken, shrimp, eel, and flatfish were obtained from local markets in Seoul, Republic of Korea. The samples were handled according to the method described in Section 2.3. As shown in Supplementary Figures 2, 3, none of the samples tested positive for the target analytes.

Conclusions

An analytical protocol based on LC-MS/MS was developed and validated to simultaneously determine CAP, TAP, FF, and FFA. The four analytes were extracted from six samples (beef, pork, chicken, shrimp, eel, and flatfish) using LLE and modified QuEChERS methods for LC-MS/MS analysis. Recovery rate ranges of 64.26–116.51%, 71.66–106.91%, 76.12–109.57%, and 74.70–107.36% were obtained for CAP, TAP, FF, and FFA, respectively, in all matrices. The developed protocol offers a rapid and straightforward method for the simultaneous determination of these four analytes. Regulatory authorities can evaluate it as a reference method for establishing amphenicol MRLs in various livestock products.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.

Author Contributions

H-NJ and D-HP: formal analysis, investigation, validation, and writing-original draft. Y-JC and S-HK: methodology. H-JC: methodology and visualization. J-MC: methodology. J-HS and AZ: writing-review and editing. AA: data curation, formal analysis, and writing-review and editing. H-CS: conceptualization, resources, writing-review and editing, funding acquisition, project administration, and supervision. All authors contributed to the article and approved the submitted version.

Funding

The study was supported by the Ministry of Food and Drug Safety Administration, Republic of Korea [grant number 20162MFDS621] in 2020.

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.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2021.812803/full#supplementary-material

References

1. FAO World Food Agric. - Stat. Yearb 2020. (2020). Available online at: http://www.fao.org/documents/card/en/c/cb1329en (accessed July 1, 2021).

Google Scholar

2. Moberg GP. Biological response to stress: implications for animal welfare, Biol Anim Stress Basic Princ Implic Anim Welf. 1 (2000) 21.

Google Scholar

3. WHO. Antibiotic Resist. (2020). Available online at: https://www.who.int/en/news-room/fact-sheets/detail/antibiotic-resistance (accessed July 1, 2021).

Google Scholar

4. Van Boeckel TP, Pires J, Silvester R, Zhao C, Song J, Criscuolo NG, et al. Global trends in antimicrobial resistance in animals in low-and middle-income countries. Science. (2019) 365:eaaw1944. doi: 10.1126/science.aaw1944

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Boison JO. Drug residues in foods. J AOAC Int. (2004) 87:261–9. doi: 10.1093/jaoac/87.1.261

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Bywater RJ. Veterinary use of antimicrobials and emergence of resistance in zoonotic and sentinel bacteria in the EU. J Vet Med Ser B. (2004). 51:361–3. doi: 10.1111/j.1439-0450.2004.00791.x

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Xie X, Wang B, Pang M, Zhao X, Xie K, Zhang Y, et al. Quantitative analysis of chloramphenicol, thiamphenicol, florfenicol and florfenicol amine in eggs via liquid chromatography-electrospray ionization tandem mass spectrometry. Food Chem. (2018) 269:542–8. doi: 10.1016/j.foodchem.2018.07.045

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ory EM, Yow EM. The use and abuse of the broad spectrum antibiotics. JAMA. (1963) 185:273–9. doi: 10.1001/jama.1963.03060040057022

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Graziani C, Busani L, Dionisi AM, Lucarelli C, Owczarek S, Ricci A, et al. Antimicrobial resistance in Salmonella enterica serovar Typhimurium from human and animal sources in Italy. Vet Microbiol. (2008) 128:414–8. doi: 10.1016/j.vetmic.2007.10.017

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Pongs O. Antibiotics: mechanism of action of antibacterial agents. (1979) 26. doi: 10.1007/978-3-642-46403-4_3

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Shaw WV. Chloramphenicol acetyltransferase: enzymology and molecular biology. Crit Rev Biochem. (1983) 14:1–46. doi: 10.3109/10409238309102789

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Balizs G, Hewitt A. Determination of veterinary drug residues by liquid chromatography and tandem mass spectrometry. Anal Chim Acta. (2003) 492:105–1. doi: 10.1016/S0003-2670(03)00890-0

CrossRef Full Text | Google Scholar

13. EC Commission Commission Decision (2003/181/EC) of 13 March 2003. Off J Eur Union. (2003) L71:17–8.

Google Scholar

14. Korean Korean Ministry of Food and Drug Safety, MRLs Vet. Drugs, Repub. Korea (2019).Available online at: https//Www.Foodsafetykorea.Go.Kr/Residue/vd/Mrls/List.Do?MenuKey=2&subMenuKey=83. (accessed June 6, 2021).

Google Scholar

15. Shen J, Hu D, Wu X, Coats JR. Bioavailability and pharmacokinetics of florfenicol in broiler chickens. J Vet Pharmacol Ther. (2003) 26:337–41. doi: 10.1046/j.1365-2885.2003.00495.x

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Fukui H, Fujihara Y, Kano T. In vitro and in vivo antibacterial activities of florfenicol, a new fluorinated analog of thiamphenicol, against fish pathogens. Fish Pathol. (1987) 22:201–7. doi: 10.3147/jsfp.22.201

CrossRef Full Text | Google Scholar

17. Park B, Lim J, Kim M, Yun H. Pharmacokinetics of florfenicol and its metabolite, florfenicol amine, in the Korean catfish (Silurus asotus). J Vet Pharmacol Ther. (2006) 29:37–40. doi: 10.1111/j.1365-2885.2006.00709.x

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Hayes JM Determination Determination of florfenicol in fish feed by liquid chromatography. J AOAC Int. (2005) 88:1777–83. doi: 10.1093/jaoac/88.6.1777

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Hormazabal V, Steffenak I, Yndestad M. Simultaneous determination of residues of florfenicol and the metabolite florfenicol amine in fish tissues by high-performance liquid chromatography. J Chromatogr B Biomed Sci Appl. (1993) 616:161–5. doi: 10.1016/0378-4347(93)80484-L

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Committee for Proprietary Medicinal Products (CVMP). Florfenciol (Extension to pigs) Summary Report (4) EMEA/MRL/591/99-FINAL. (1999) 7–10.

Google Scholar

21. Wrzesinski CL, Crouch LS, Endris R. Determination of florfenicol amine in channel catfish muscle by liquid chromatography. J AOAC Int. (2003) 86:515–520.

PubMed Abstract | Google Scholar

22. Kikuchi H, Sakai T, Teshima R, Nemoto S, Akiyama H. Total determination of chloramphenicol residues in foods by liquid chromatography-tandem mass spectrometry, Food Chem. (2017) 230:589–93. doi: 10.1016/j.foodchem.2017.03.071

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Chughtai MI, Maqbool U, Iqbal M, Shah MS, Fodey T. Development of in-house ELISA for detection of chloramphenicol in bovine milk with subsequent confirmatory analysis by LC-MS/MS. J Environ Sci Heal B. (2017) 52:871–9. doi: 10.1080/03601234.2017.1361771

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Barreto F, Ribeiro C, Barcellos Hoff R, Dalla Costa T. Determination of chloramphenicol, thiamphenicol, florfenicol and florfenicol amine in poultry, swine, bovine and fish by liquid chromatography-tandem mass spectrometry. J Chromatogr A. (2016) 1449:48–53. doi: 10.1016/j.chroma.2016.04.024

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Wang B, Pang M, Zhao X, Xie K, Zhang P, Zhang G, et al. Development and comparison of liquid–liquid extraction and accelerated solvent extraction methods for quantitative analysis of chloramphenicol, thiamphenicol, florfenicol, and florfenicol amine in poultry eggs. J Mass Spectrom. (2019) 54:488–94. doi: 10.1002/jms.4355

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Zhang S, Liu Z, Guo X, Cheng L, Wang Z, Shen J. Simultaneous determination and confirmation of chloramphenicol, thiamphenicol, florfenicol and florfenicol amine in chicken muscle by liquid chromatography–tandem mass spectrometry. J Chromatogr B. (2008) 875:399–404. doi: 10.1016/j.jchromb.2008.09.035

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Fedeniuk RW, Mizuno M, Neiser C, O'Byrne C. Development of LC–MS/MS methodology for the detection/determination and confirmation of chloramphenicol, chloramphenicol 3-O-β-d-glucuronide, florfenicol, florfenicol amine and thiamphenicol residues in bovine, equine and porcine liver. J Chromatogr B. (2015) 991:68–78. doi: 10.1016/j.jchromb.2015.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Australian Pesticides and Veterinary Medicines Authority. Agric. Vet. Chem. Code (MRL Stand. Instrum. 2019. (2019). Available online at: https://www.legislation.gov.au/Search/Agricultural and Veterinary Chemicals Code (accessed July 1, 2021).

Google Scholar

29. Codex Alimentarius, Maximum Residue Limits Risk Manag. Recomm. Residues Vet. Drugs Foods. (2018). Available online at: http://www.fao.org/fao-who-codexalimentarius/codex-texts/maximum-residue-limits/en/ (accessed July 1, 2021).

Google Scholar

30. EU Commission Comm. Regul. No 37/2010 22 December 2009 Pharmacol. Act. Subst. Their Classif. Regarding Maximum Residue Limits Foodst. Anim Orig Off J Eur Union (2010).

Google Scholar

31. The The Japan Food Chemical Research Foundation, Maximum Residue Limits List Agric. Chem. Foods (2021). Available online at: http://db.ffcr.or.jp/front/ (accessed July 1, 2021).

Google Scholar

32. US Food and Drug Administration United States Dep. Agric. Maximum Residue Limits Database. (2021). Available online at: https://www.fas.usda.gov/maximum-residue-limits-mrl-database (accessed July 1, 2021).

Google Scholar

33. Codex Alimentarius Commission Guidel. Des. Implement. Natl. Regul. Food Saf. Assur. Program. Assoc. With Use Vet. Drugs Food Prod. Anim. CAC/GL 71-2009 (2012).

Google Scholar

34. Imran M, Habib FE, Majeed S, Tawab A, Rauf W, Rahman M, et al. LC-MS/MS-based determination of chloramphenicol, thiamphenicol, florfenicol and florfenicol amine in poultry meat from the Punjab-Pakistan. Food Addit Contam Part A Chem Anal Control. Expo Risk Assess. (2018) 35:1530–42. doi: 10.1080/19440049.2018.1463569

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Jung HN, Park DH, Yoo KH, Cho HJ, Shim JH, Shin HC, et al. Simultaneous quantification of 12 veterinary drug residues in fishery products using liquid chromatography-tandem mass spectrometry. Food Chem. (2021) 348:129105. doi: 10.1016/j.foodchem.2021.129105

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Yoo KH, Park DH, Abd El-Aty AM, Kim SK, Jung HN, Jeong DH, et al. Development of an analytical method for multi-residue quantification of 18 anthelmintics in various animal-based food products using liquid chromatography-tandem mass spectrometry. J Pharm Anal. (2021) 11:68–76. doi: 10.1016/j.jpha.2020.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Zheng W, Yoo KH, Choi JM, Park DH, Kim SK, Kang YS, et al. A modified QuEChERS method coupled with liquid chromatography-tandem mass spectrometry for the simultaneous detection and quantification of scopolamine, L-hyoscyamine, and sparteine residues in animal-derived food products. J Adv Res. (2019) 15:95–102. doi: 10.1016/j.jare.2018.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Park J, Abd El-Aty AM, Zheng W, Kim S, Choi J, Hacimüftüoglu A, et al. Determination of metoserpate, buquinolate, and diclofenac in pork, eggs, and milk using liquid chromatography–tandem mass spectrometry. Biomed Chromatogr. (2018) 32:e4215. doi: 10.1002/bmc.4215

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Van Eeckhaut A, Lanckmans K, Sarre S, Smolders I, Michotte Y. Validation of bioanalytical LC–MS/MS assays: evaluation of matrix effects. J Chromatogr B. (2009) 877:2198–207. doi: 10.1016/j.jchromb.2009.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Pan XD, Wu PG, Jiang W, Ma BJ. Determination of chloramphenicol, thiamphenicol, and florfenicol in fish muscle by matrix solid-phase dispersion extraction (mspd) and ultra-high pressure liquid chromatography tandem mass spectrometry. Food Control. (2015) 52:34–8. doi: 10.1016/j.foodcont.2014.12.019

CrossRef Full Text | Google Scholar

41. Sichilongo KF, Kolanyane P, Masesane IB. A sensitive LC-MS/MS method employing a THF–water solvent system for the determination of chloramphenicol, thiamphenicol and florfenicol in bovine muscle. Anal Methods. (2014) 6:7015–21. doi: 10.1039/C4AY01135J

CrossRef Full Text | Google Scholar

Keywords: chloramphenicol, thiamphenicol, florfenicol, florfenicol amine, residue analysis, LC-MS/MS, method development

Citation: Jung H-N, Park D-H, Choi Y-J, Kang S-H, Cho H-J, Choi J-M, Shim J-H, Zaky AA, Abd El-Aty AM and Shin H-C (2022) Simultaneous Quantification of Chloramphenicol, Thiamphenicol, Florfenicol, and Florfenicol Amine in Animal and Aquaculture Products Using Liquid Chromatography-Tandem Mass Spectrometry. Front. Nutr. 8:812803. doi: 10.3389/fnut.2021.812803

Received: 10 November 2021; Accepted: 06 December 2021;
Published: 13 January 2022.

Edited by:

Sandrina A. Heleno, Polytechnic Institute of Bragança (IPB), Portugal

Reviewed by:

Marco Iammarino, Experimental Zooprophylactic Institute of Puglia and Basilicata (IZSPB), Italy
Rafaela Guimarães, Centro de Valorização e Transferência de Tecnologia da Água (AQUAVALOR), Portugal

Copyright © 2022 Jung, Park, Choi, Kang, Cho, Choi, Shim, Zaky, Abd El-Aty and Shin. 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: Ho-Chul Shin, hshin@konkuk.ac.kr; A. M. Abd El-Aty, abdelaty44@hotmail.com

Download