Roasting treatments affect oil extraction rate, fatty acids, oxidative stability, antioxidant activity, and flavor of walnut oil

Introduction The quality of pressed walnut oil can be improved by moderate roasting treatment. Methods This study compared physicochemical characteristics and antioxidant ability of walnut oils pressed from differently roasted pretreated walnuts, analyzed the correlation among these indicators by using Pearson correlation coefficient and correlation coefficient heatmap, and evaluated the volatile organic compounds (VOCs) of walnut oil under optimal pretreatment roasting conditions using headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS). Results Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were able to remarkably distinguish walnut oil produced by different roasting processes. In addition, correlation analysis showed that there was a significant impact among indicators. There were 73 VOCs were identified in the optimum roasted treated walnut oil, consisting of 30 aldehydes, 13 alcohols, 11 ketones, 10 esters, 5 acids, 2 oxygen-containing heterocycles, 1 nitrogen-containing heterocycle and 1 other compound. GC-IMS results showed that aldehydes contributed significantly to the volatile flavor profile of walnut oil, especially (E)-2-heptenal, (E)-2-pentenal and hexenal. Discussion The properties of walnut oil based on varying roasting pretreatment of walnut kernels were significantly differentiated. Roasting at 120°C for 20 min is a suitable pretreatment roasting condition for pressing walnut oil. Roasting at 120°C for 20 min is a suitable pretreatment roasting condition for pressing walnut oil.


Introduction
Walnut is a perennial deciduous tree of the genus Juglans, and with almonds, cashews and hazelnuts are known as the four dried fruits. At present, there are 21 species of walnut, which are widespread in the West Indies, southern Europe, Asia, Central America, North America, and western South America (1). The global walnut cultivation area reaches about 1.3 million hectares. Turkey, the United States, and China are the three major walnut producing countries, with the combined area and production of walnuts accounting for 69.22 and 81.32% of the world total, respectively (2). The main production areas of walnut in China include Yunnan Province (880,000 tons), Xinjiang Uygur Autonomous Region (440,000 tons), Sichuan Province (300,000 tons), Shaanxi Province (200,000 tons), Hebei Province (120,000 tons) and Guizhou Province (90,000 tons). Xinjiang's unique climatic conditions have created the excellent quality of Xinjiang walnuts. Hetian, Kashi, and Aksu are the three major walnut producing areas in Xinjiang of China, which main varieties include Zha No. 343, Xinfeng, Wen 185, Xinzaofeng, Xinxin No. 2. Walnuts contain large amounts of monounsaturated fatty acids (MUFAs) and polyunsaturated fatty acids (PUFAs), with an oil content of 60-70% (3). The ratio of ω-6: ω-3 PUFAs in walnut oil is generally 4:1, which is in line with the optimal ratio proposed by the World Health Organization (WHO) and the Food and Agriculture Organization of the United Nations (FAO). The flavonoids in walnut oil can relieve headache, tinnitus, dizziness, and other symptoms. The rich phospholipids in walnut oil can enhance cell activity, promote hematopoiesis, and protect brain nerves. Walnut oil is also rich in vitamin E, which plays an important role in scavenging free radicals and delaying aging (4,5). However, the high content of unsaturated fatty acids in walnut oil can make it prone to oxidation, resulting in a short shelf life (6). In recent years, with the increasing interest in fats and oils from a health and nutritional perspective, consumers have become increasingly interested in unrefined vegetable oils, especially cold-pressed obtained (7). Cold pressing is the use of mechanical force to produce oil at a temperature below 60 • C, such as poppy seed oil, pumpkin oil and rapeseed oil (8)(9)(10)(11)(12). Additionally, roasting is a pretreatment method for nut kernels before the oil extraction, which can effectively improve the flavor in the oil (13). Antioxidant activity and phenolic content of nuts such as peanuts, hazelnuts and cashews as affected by roasting treatment (14,15). Chandrasekara and Shahidi treated the cashew at low and high temperatures, respectively, which confirmed that with the increase of roasting temperature, their antioxidant activity would also increase (16). The highest activity was achieved when nuts were roasted at 130 • C for 33 min. This implied that the antioxidant effect of processed foods would be enhanced by Maillard reaction products generated during heat treatment (17). In addition, the fatty acid composition of walnut and hazelnut changed after the roasting treatment (18,19). Lin et al. researched show that roasting enhanced the content of linoleic acid, oleic acid, and linolenic acid (20). In summary, moderate roasting may also cause changes in the physicochemical properties and antioxidant capacity of walnut oil. However, most of the researches focus on the change of properties caused by the roasting process, but the correlation between these properties has been insufficiently studied. Therefore, this study aimed to investigate and elucidate the correlation between the antioxidant capacity and physicochemical properties of walnut oil.
Odor is one of the typical characteristics of vegetable oil flavor, which is an important index to judge the quality of plant oil. It is an important factor in affecting consumer choice. The flavor of plant oils depends on the variety, ripeness degree, environmental condition, growing region, storage, and processing techniques (21)(22)(23). Processing technique can significantly affect the concentrations of major volatile components, and thus causing different flavors in plant oils (24). Headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) is a recent instrumentation technique for the separation and detection of volatile organic compounds (VOCs) in mixed analytes (25). GC is widely applied to the measurement of volatiles. IMS has been applied mainly in airport security and military applications in the quick identification of chemical narcotics, explosives and warfare agents owing to its high sensitivity (26). Simultaneously, IMS has also been demonstrated valuable in other applications, like interior and exterior environmental quality control, food and pharmaceutical quality control, and respiratory disease monitoring (27)(28)(29). Specifically, IMS is developing extremely well in the food industry to examine information concerning food origin, food raw materials, food quality and food aroma (30)(31)(32)(33). Therefore, HS-GC-IMS was utilized for the rapid identification of VOCs in walnut oil obtained from the suitable pretreatment roasting conditions determined in this research. Pretreatment of walnut kernels through different roasting temperatures and durations will affect the physicochemical characteristics, antioxidant capacity and flavor of walnut oil. Walnut oil was prepared by the cold pressing method, using walnut kernels at various roasting temperatures (120, 150, and 180 • C) and different durations (10, 20, and 30 min) in this paper. The fatty acid, physicochemical characteristics, free radical scavenging capacity and oxidative stability index (OSI) of the oils were investigated. Then, correlation analysis was performed on these indicators by the Pearson correlation coefficient and the correlation coefficient heatmap. HS-GC-IMS was utilized for the rapid identification of VOCs in walnut oil obtained from the determined suitable pretreatment roasting conditions. These results have significant implications for improving research and guiding the market.

Walnut samples collection
The walnut samples were the Wen 185 walnuts from Aletai, Xinjiang, China. These walnuts were picked up in the Xinjiang Autonomous Region in 2019-2020.

Walnut oil preparation 2.3.1. Roasting temperature and duration
The walnut kernels were divided at random into 30 groups of 300 g for each part, of which 27 portions were applied in roasting, and the remaining 3 were used as blank controls. The roasting temperature was set to 120, 150, and 180 • C, and the roasting durations was set to 10, 20, and 30 min. A total of nine different groups of roasting treatments were carried out, with three parallel treatments in each group. Each sample is baked in the electric oven (K1H, Guangdong Galanz Microwave and Electrical Appliances Manufacturing Co., Ltd., China). The roasted walnuts were cooled to ambient temperature, stored in a sealed plastic bag, and placed in a 4 • C refrigerator pending the next stage of experimentation.

Sample preparation
Walnut kernels were transferred to a screw press (ZY-22A, Wenzhou Hongkuo Technology Co., Ltd., China). The temperature in the press is 30 • C, and the oil output temperature was 30 ± 2 • C. The turbid oil was centrifuged at 8,000 r/min for 20 min, and then the supernatant oil was directly transferred to a 100 mL dark bottle for sealing storage, pending further experiments.

Determination of fatty acid 2.4.1. Fatty acid methyl esterification
The fatty acid methyl esterification (FAME) preparation followed the prior procedure except for some modifications (20). The crude walnut oil (200 mg) with 8 mL of 2% NaOH (prepared with methanol) refluxed in a water bath at 80 ± 1 • C until the oil droplets disappeared, then 7 mL 15% BF 3 (made by methanol) was added to the conical flask and reacted for 2 min to completely derivatize the methyl ester. For the purification of methyl ester, 20 mL of hexane and 3 mL of saturated NaCl solution were added. The hexane extracted FAME products were dried with anhydrous Na 2 SO 4 and then filtered through a 0.22 µm filter before being analyzed by GC.
The operating conditions were as follows: nitrogen with a linear velocity of 1.0 mL/min as carrier gas, the flame ionization detector (FID) (Thermo Fisher), the sampler temperature was 240 • C, injection mode was no split, injection volume was 1.0 µL, the chromatographic column adopted a gradient temperature increase, kept at 140 • C for 2 min, then increased the temperature to 180 • C at 5 • C/min and held for 5 min, and finally increased to 230 • C at 5 • C/min to maintain 6 min. The fatty acid composition was analyzed by comparing the retention time on the chromatogram of the sample and the FAME standard, and the fatty acid content was expressed as a relative percentage.

Determination of physicochemical properties 2.5.1. Determination of peroxide value
A mixture of 2 mL of oil sample, 1 mL of saturated potassium iodide solution and 30 mL of chloroform-glacial acetic acid (2:3, v/v) was added sequentially to a 250 mL conical flask, shaken for 0.5 min and allowed to stand for 3 min. Subsequently, 100 mL of distilled water was added to the conical flask and the mixture was titrated to light yellow with 0.001 mol/L of Na 2 S 2 O 3 ·5H 2 O, 1 mL of starch indicator was added and the titration was continued until the blue color of the solution disappeared.

Determination of acid value
The mixture of 50 mL 95% ethanol and 0.5 mL phenolphthalein indicator was heated to a slight boil in a 95 • C water bath and titrated to red in 0.1 mol/L NaOH solution while hot. Twenty grams of oil sample was added, and the reaction was continued to be heated to a slight boil in a 95 • C water bath and titrated to a slight red color.

Determination of 2-thiobarbituric acid
The thiobarbituric acid (TBA) reagent was 200 mg of 2-TBA with 1-butanol to 100 mL volumetric flask. After 12-15 h at room temperature, it was filtered and the filtrate was placed in a refrigerator at 4 • C for use. After the 200 mg of oil sample was made up to 25 mL with 1-butanol, 5 mL of the mixture was mixed with TBA regent and allowed to stand in a water bath at 95 • C for 2 h. The absorbance was measured at 530 nm with the spectrophotometer (T600, Beijing Puxi General Instrument Co., Ltd., Beijing, China).

Determination of antioxidant capacity 2.6.1. DPPH radical assay
The measurement was performed based on a modified reported method (34). Dissolve 5 g of walnut oil in 20 mL of methanol and mix, keep shaking and extract for 30 min at 50 • C, centrifuge at low temperature (8,000 r/min) for 5 min. The supernatant was aspirated and the extraction process was repeated 4 times and the combined supernatant was polarized. Mix 1 mL of the polar substances with 1 mL of 1 mM DPPH (prepared with methanol), react in the dark at room temperature for 30 min. The absorbance of the reaction solution and the blank were measured at 517 nm. Meanwhile, different concentrations of Vitamin E (V E ) solutions were used instead of the sample as a control test. The results were showed as the equivalent of V E .

Ferric reducing antioxidant power assay
The Ferric reducing antioxidant power (FRAP) method was performed according to the previous procedure with some modifications (35). The extraction of polar components of walnut oil was the same as that of DPPH.

ABTS radical assay
ABTS was determined using the reported method with slight modifications (36). The extraction of polar components of walnut oil was the same as the extraction method in DPPH. The ABTS working solution was prepared by mixing 7 mmol/L ABTS and 2.45 mmol/L potassium persulfate solution in equal amounts, and placed in the dark at room temperature for 12-16 h. The ABTS working solution was diluted with ethanol to an absorbance of 0.700 ± 0.020 at 734 nm for analysis. The 200 µL of oil polar components and 4 mL of ABTS radical solution were mixed in the dark at room temperature for 20 min. The absorbance of the reaction solution and the blank were measured at 734 nm. Meanwhile, different concentrations of V E solutions were used as control tests instead of the samples, and the results were expressed as the equivalent of V E .

Oxidative stability index
The OSI was measured by the 892 professional Rancimat oil oxidation stability analyzer (Metrohm China Co., Ltd., Beijing, China) at 110 • C and 20 L/h airflow. Use 5 g walnut oil for the measurement. High temperature and excessive air can accelerate the oxidation of glycerol fatty acid esters and produce volatile organic acids. The air brought volatile organic acids into a conductive chamber and changed the conductivity of water. The time period before the conductivity increases sharply (OSI time) was measured by continuously measuring the conductivity of the conductive chamber.

HS-GC-IMS analysis
The GC-IMS instrument (FlavourSpec R , the G.A.S. Department of Shandong Hai Neng Science Instrument Co., Ltd., Shandong, China) is equipped with a syringe and an automatic headspace research sampler unit. The sample entered the instrument with the carrier gas, passed through the gas chromatographic column for the initial separation, and then entered the ion transfer tube. Through the action of the reverse drift gas, it migrated to the Faraday disc for detection and realized the secondary separation.
In this study, 2.0 g sample of walnut oil sample was accurately weighed into a 20 mL headspace glass sampling vial and incubated at 500 rpm, 80 • C for 20 min. Subsequently, 200 µL of headspace was automatically injected into the injector (85 • C) Separation of VOCs was performed by the gas chromatographic column MXT-5 capillary column (15 m × 0.53 mm, 60 • C) and the carrier gas consisted of 99.99% pure nitrogen. The programmed nitrogen flow rate was: 2 mL/min for 2 min; increased to 100 mL/min within the 2-20 min. The drift tube was maintained at 45 • C under N 2 as a drift gas at 150 mL/min. the total running time was 30 min.
Retention indices (National Institute of Standards and Technology database) and drift times (IMS database) were used to perform qualitative analysis of VOCs in the sample.

Statistical analysis
Statistical analyses were carried out using Unscrambler version 9.7 (CAMO ASA, Oslo, Norway), Origin 2018 Pro (Originlab, Northampton, MA, USA) and SPSS 25.0 (IBM, Armonk, NY, USA). Correlation analysis was performed out by Pearson correlation coefficient and t-test. Chemometrics [principal component analysis (PCA) and Hierarchical cluster analysis (HCA)] were used to analyze the obtained data. The samples were determined three times and the results were recorded as mean ± standard deviation.

Results and discussion
3.1. Effect of roasting on oil extraction rate and fatty acid composition of walnut oil The crude oil yields ranged from 41.48 to 54.41% from roasted walnut kernels. The oil yield of the roasted sample was significantly higher than that of the unroasted sample (41.48%) (Figure 1). The roasting treatment caused a series of changes in the walnut kernels, including destroying oil cells, promoting protein denaturation, reducing oil viscosity, which were suitable for squeezing oil and increasing oil yield. The oil extraction yield of walnut kernels increases with the extension of roasting time. The highest oil yield was obtained for the sample roasted at 120 • C for 30 min compared to the other samples. Table 1 shows the fatty acid compositions of walnut oil pressed from roasted walnut kernels under different roasting conditions. In all samples studied, the main fatty acids identified were linoleic acid (C18:2) (50.74-62.65%), oleic acid (C18:1) (13.33-20.88%), linolenic acid (C18:3) (12.39-17.59%), palmitic acid (C16:0) (7.08-9.41%), and stearic acid (C18:0) (1.22-2.44%). PUFAs were the primary fatty acids, with 68.33-77.06%, and the second were MUFAs, with 13.33-20.88%. Linoleic acid was the main fatty acid in walnut oil. The lowest content of linoleic acid was found in samples baked at 120 • C for 30 min, and the highest content of linoleic acid was found in walnut oil baked at 150 • C for 30 min.
The roasting treatment did not affect the composition of fatty acids in walnut oil, but the fatty acid content varied slightly after roasting. Moderate roasting can increase the content of unsaturated fatty acids (oleic acid and linoleic acid) and saturated fatty acids (palmitic acid), especially the sample roasted 120 • C for 30 min. The results of Vaidya and Eun showed that there was no significant difference in the fatty acid composition of walnut oil obtained from roasted and unroasted walnut kernels, without considering the effect of roasting time and temperature (37). It is reported that the SFA content in perilla oil slightly increased after roasting treatment (38). Lin et al., reported that with the extension of temperature and duration, the content of unsaturated fatty acids and saturated fatty acids in almond kernel oil increased (20). Table 2 lists the physicochemical characteristics of the walnut oil. Walnut oil had a low acid value (AV) (0.12-0.37 mg NaOH/g), indicating that the roasting treatment did not promote the formation of free fatty acids in walnut oil. POV characterizes the degree of oil rancidity by measuring the oxidation products of the oil (4). The results revealed that the POV increased from 1.77 mmol/kg (120 • C, 10 min) to 3.98 mmol/kg (180 • C, 30 min) with increasing roasting temperature and time. Significant increase in POV indicated that the roasting treatment promoted the production of peroxides and hydroperoxides in walnut oil. However, the POV results still meet the standards for commercial edible vegetable oils (≤10 mmol/kg). TBA is directed to the oxidation products unsaturated fatty acid aldehydes, which are used to characterize the degree of oxidation in different oxidation stages. The resulting TBA values after roasting ranged from 0.0268 to 0.0318. Roasting at 120 • C for 30 min, 150 • C for 30 min and 180 • C for 10 min had the lowest degree of oxidation at the corresponding temperature. Extraction yields for walnut kernels roasted with different temperature and duration. Values (mean ± SD, n = 3) in the same column followed by a different letter are significantly different (p < 0.05). Table 3 lists the free radical scavenging ability (FRAP, ABTS, and DPPH) and OSI of walnut oil under different roasting conditions. The oxidation process of the walnut oil can be accelerated by exposing the walnut oil to 110 • C and the air at a flow rate of 20 L/h (39). The oxidative stability of walnut oil was characterized by measuring the length of the induction time from the induction period to the oxidation period. The OSI of walnut oil ranged from 4.53 to 5.57 h, indicating that roasting caused increasing OSI of the oil. In the FRAP assay, the results ranged from 88. 19   Values (mean ± SD, n = 3) in the same column followed by a different letter are significantly different (p < 0.05). POV (mmol/kg) = (volume consumed by the sample-volume consumed by the blank) × concentration of Na2S2O3·5H2O × 1,000/(2 × quality of oil sample). AV (mg NaOH/g) = volume consumed by the titrant × concentration of NaOH × 39.996/quality of oil sample. TBA = (50 × absorbance of the tested solution/sample weight) × 100%. Values (mean ± SD, n = 3) in the same column followed by a different letter are significantly different (p < 0.05).

Analysis of antioxidant capacity
The results of free radicals scavenging capacity and OSI indicated that the roasting treatment can strengthen the antioxidant capacity of walnut oil. The research results of Aleksander et al. on the antioxidant capacity of rapeseed oil prepared after roasting are consistent with this study (40). The antioxidant activity of Sacha Inchi oil is also improved by roasting Sacha Inchi (Plukenetia Volubilis L.) seeds (41). Plants contain many phenolic compounds with antioxidant capacity in the combined form (42). The roasting treatment may destroy these phenolic compounds in the form of covalent bonding, and release the phenolic compounds in free form. The marked enhancement in the antioxidant capacity of the oil after roasting treatment may be attributed to the degradation of some heat-insensitive antioxidant components to produce heatresistant antioxidant components and the formation of some antioxidants with potential antioxidant activity by Maillard reaction (17, 43).

PCA and HCA
Principal component analysis aims to use mathematical dimensionality reduction methods to transform multiple variables into a small number of new variables using orthogonal changes, thereby using new variables to reflect the main characteristics of things in a smaller dimension. Thirteen variables were employed for statistically evaluating including extraction yield, physicochemical characteristics, and antioxidant capacity (Figure 2A).
We note that the first two component scores consider 92% (component 1 = 71% and component 2 = 21%) of the total variation. Component 1 exhibits positive loading mainly with ABTS, FRAP, linolenic acid, OSI, palmitic acid, and negative loading with linoleic acid. The main contributors to principal component 2 are DPPH, POV, FRAP, AV, OSI, stearic acid, and extraction yield. The figure showed that the sample roasted at 120 • C for 20 min can be clearly distinguished from other samples (Figure 2B). According to the above research, considering that the samples roasted at 120 • C for 20 min have better antioxidant capacity, this roasting treatment is a suitable pretreatment roasting condition for pressing walnut oil.
Hierarchical cluster analysis is a type of clustering algorithm. It uses Euclidean distance to calculate the distance (similarity) between different data points and sequentially combines the two closest data points to generate a hierarchical nested clustering tree (Figure 3). The smaller the distance between data points, the higher the similarity. These results show that walnut oil samples have a clear tendency to aggregate. The tree structure of the cluster analysis was divided into two main parts when the 10-distance threshold was chosen. The sample roasted at 120 • C for 20 min can be clearly distinguished from other samples. In summary, we can conclude that the sample roasted at 120 • C for 20 min is the better processing condition.

Correlations between indicators of walnut oils
Heatmap is a common visualization method in scientific research papers. The correlation of samples is often displayed in the form of correlation heatmap. In summary, any value that characterizes the correlation can be plotted using a correlation heatmap. The depth of color in the correlation heatmap can clearly show the strength of the correlation among indicators (Figure 4). The red color represents a positive correlation, blue Frontiers in Nutrition 08 frontiersin.org Hierarchical cluster analysis of walnut oil.

HS-GC-IMS analysis
Volatiles of walnut oil (120 • C, 20 min) were plotted in 3D topography ( Figure 5A). The X, Y, and Z axis in 3D spectrum correspond to ion drift identification time, gas chromatography retention time and quantitative peak height, respectively. Figure 5B shows the gas-phase ion mobility profiles of volatile compounds from walnut oil. The vertical coordinate is the retention time (s) of the compound, and the horizontal coordinate is the ion migration time (ms). Each point on the spectrum represents a volatile compound, with red representing high concentration and white representing low concentration, and the darker the color indicates the higher concentration of the volatile compound. The results of the qualitative analysis of volatile compounds using the NIST database and IMS database integrated with the software are shown in Supplementary Table. A total of 73 volatile compounds were detected, including 30 aldehydes, 13 alcohols, 11 ketones, 10 esters, 5 acids, 2 oxygencontaining heterocycles, 1 nitrogen-containing heterocycle and FIGURE 4 Correlation heatmap between walnut oil indicators.
1 other compound. Figure 5C shows the fingerprint profile, each row of the figure represents the peak intensity of all volatile compounds in the walnut oil sample, and each column represents the peak intensity of a volatile compound in the walnut oil sample. Dimer or polymer formation in the ionized region is associated with high proton affinity of the volatile compound and results in a varying drift time in contrast to the monomeric form, so that some compounds can produce two peak signals, including dimer (D) and monomer (M), as observed in GC-IMS (44).
Aldehydes are mainly derived from the cleavage of free radicals of lipid molecules. The peroxides generated by autooxidation of lipids decompose to form alkoxy radicals and hydroxyl radicals, which further cleave to form volatile organic compounds such as aldehydes, alkenes and alcohols (45,46). Aldehydes have aromatic characteristics such as clear, fruity, and fatty aromas, and their detection concentration is high and the aroma threshold is low, which is the main aroma presenting substance of walnut oil. Among them, (E)-2-heptenal, (E)-2pentenal and hexanal were the aldehydes with the highest peak intensity in the pretreated walnut oil at 120 • C, 20 min. (E)-2-heptenal had a green, herbal or cucumber aroma and was a high-concentration volatile compound in cooked white quinoa samples (47). (E)-2-Pentenal was considered as a potential marker for linolenic acid-based vegetable oils (48). Hexanal was derived from 13-hydroperoxides formed by the autoxidation of linoleic acid and was directly related to the formation of off-flavors from the oxidation of oils and fats (49,50). Ketones are produced through lipid degradation, Maillard reaction and interaction between these two reactions. In addition, ketones have a comparatively high-odor threshold, contributing to a minor flavor impact on food (51). 2-Acetone was the volatile compound with the highest peak intensity in walnut oil (5,480). The ester and aldehyde with the highest peak areas in walnut oil were ethyl acetate (pineapple flavor) and ethanol (sweetness), respectively, which were considered potential markers of yogurt flavor quality (52).

Conclusion
In this work, we investigated the effects of roasting treatment on the physicochemical properties, antioxidant capacity and correlation between indicators of walnut oil, and further measured the flavor substances of walnut oil under optimal roasting treatment. Linoleic acid (62.31% of the crude oil) and oleic acid (12.40% of crude oil) were the predominant fatty acids in the oil extracted from walnut kernels without roasted. Moderate roasting could increase the content of unsaturated fatty acids (oleic acid and linoleic acid) and saturated fatty acids (palmitic acid), especially the sample roasted 120 • C for 30 min. As the roasting temperature and duration increases, it caused a statistically significant increase in POV relative to the control sample. PCA and HCA could distinguish walnut oil from different roasting treatments, and the result showed that roasting at 120 • C for 20 min was a suitable pretreatment roasting condition for pressing walnut oil. There were significant influences among indicators. POV had a significant positive correlation with OSI (r = 0.633, p < 0.05), and a significant negative correlation with DPPH (r = -0.641, p < 0.05) and FRAP (r = -0.709, p < 0.05). Palmitic acid had a significant positive correlation on FRAP (r = 0.657, p < 0.05). Antioxidant capacity (OSI, DPPH, and FRAP) could be guided by the correlation between POV and palmitic acid. The study also rapidly identified VOCs in walnut oil obtained under suitable pretreatment roasting conditions. Aldehydes with clear, fruity, and fatty aromas were considered as the main aroma-presenting substances of walnut oil.

Data availability statement
The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Author contributions
HL: conceptualization, methodology, formal analysis, and writing-original draft. JH: formal analysis, writing-original draft, and writing-review and editing. ZZ and JT: writing-review and editing, resources, and supervision. XF: supervision and writing-review and editing. YZ: writingreview and editing. CW and WL: funding acquisition, resources, and supervision. All authors contributed to the article and approved the submitted version.

Funding
This work was supported by the Major Science and Technology Research Project of Xinjiang Autonomous Region (Grant no. 2022A020009-2).