Nageshvar Patel , Miriam Aledda , Valeria Tafintseva , Achim Kohler , Kristian Hovde Liland , Tiril Aurora Lintvedt , Nils Kristian Afseth , Jens Petter Wold , Boris Zimmermann
{"title":"Spatial distribution of fatty acid composition in salmon fillets","authors":"Nageshvar Patel , Miriam Aledda , Valeria Tafintseva , Achim Kohler , Kristian Hovde Liland , Tiril Aurora Lintvedt , Nils Kristian Afseth , Jens Petter Wold , Boris Zimmermann","doi":"10.1016/j.jfca.2025.108362","DOIUrl":"10.1016/j.jfca.2025.108362","url":null,"abstract":"<div><div>Fatty acid analysis is crucial in assessing the nutritional value of salmon fillets, particularly the content of long-chain polyunsaturated fatty acids. The first detailed study of spatial distribution of fatty acid composition in salmon fillets is presented. Fish were collected at mid-grow and commercial harvesting stages from two locations, and were fed with three different feeds with varying ratio of vegetable and marine oil. Sampling within fillets was conducted at six positions along the anteroposterior, dorsoventral, and radial axes. Lipid analysis was performed using gas chromatography. The results show that feed had the biggest influence on fatty acid profiles, followed by sampling position, while growth stage had minimal influence. Substantial differences in fatty acid compositions were observed along both the dorsoventral and anteroposterior axes of the fillets. The Norwegian Quality Cut (NQC) area closely reflects the median fillet composition, making it a reliable reference region. Fillet areas with low lipid content, particularly the tail section, have the highest DHA and EPA content. A strong correlation was found between aggregate DHA and EPA content in the untrimmed belly fat region and the NQC area, suggesting that this region could serve as a convenient measurement area for assessing salmon fillet nutritional value.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108362"},"PeriodicalIF":4.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mass spectrometry imaging: Applications and advances in analyzing bioactive components in foods","authors":"Yansheng Zhao, Nuo Li, Juan Bai, Xiang Xiao","doi":"10.1016/j.jfca.2025.108355","DOIUrl":"10.1016/j.jfca.2025.108355","url":null,"abstract":"<div><div>Bioactive food components, such as polyphenols, polysaccharides, alkaloids, etc., are the important material basis for the health effects of food. The distribution of these components in food raw materials, along with their migration and transformation during processing and post-absorption metabolic behavior, directly determines their nutritional value and bioactivity. Advances in modern analytical techniques have enabled researchers to investigate the spatial distribution patterns of bioactive food components and their interaction mechanisms with biological systems more comprehensively. Mass spectrometry imaging (MSI), an emerging spatial histology tool, offers a novel perspective for studying the mechanisms of bioactive food factors. By leveraging <em>in situ</em>, label-free molecular imaging capabilities, MSI visualizes the spatial distribution of functional compounds within food matrices, providing critical technical support for analyzing their biological activities and metabolic pathways. This paper systematically reviews recent advancements in MSI principles and workflows for bioactive food component research, while addressing current technological challenges, such as high hardware costs, signal interference from complex matrices, and limited sensitivity for trace-level analytes. Future integration of high-resolution mass spectrometry with artificial intelligence algorithms is expected to enhance the potential of MSI in tracking <em>in vivo</em> nutrient metabolism and designing targeted nutrient delivery systems.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108355"},"PeriodicalIF":4.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiujin Chen, Biao An, Minghui Dai, Pingping Xiong, Yubing Bai, Huawei Niu, Zhaozhou Li, Yao Wang
{"title":"A fluorescence and colorimetric dual-mode immunoassay for sensitive detection of marbofloxacin based on gold and silver nanoclusters","authors":"Xiujin Chen, Biao An, Minghui Dai, Pingping Xiong, Yubing Bai, Huawei Niu, Zhaozhou Li, Yao Wang","doi":"10.1016/j.jfca.2025.108366","DOIUrl":"10.1016/j.jfca.2025.108366","url":null,"abstract":"<div><div>Marbofloxacin (MBF) is widely used in veterinary medicine for the prevention and treatment of various infectious diseases. However, improper use of MBF may leave residues in edible animal tissues and milk, posing a potential hazard to human health. Here, we developed a fluorescence and colorimetric dual-mode immunoassay for the detection of MBF based on the inner filter effect between gold-silver bimetallic nanoclusters (AuAgNCs) and the oxidation products of 3,3′,5,5′-tetramethylbenzidine (oxTMB). In this immunoassay, horseradish peroxidase (HRP) catalyzes the oxidation of TMB to oxTMB, which can further quench the fluorescence of AuAgNCs. Thereby, the color change of oxTMB and the fluorescence change of AuAgNCs can be utilized as the dual signals for MBF analysis. Under optimal conditions, the detection limit of the fluorescence enzyme-linked immunosorbent assay was 9 ng L<sup>−1</sup>, with a 50 % inhibitory concentration (IC50) of 0.80 µg L<sup>−1</sup>. Additionally, this immunoassay demonstrated high specificity for MBF and satisfactory recovery rates in pork samples (fluorescence mode: 84.00–104.40 %; colorimetric mode: 90.54–107.63 %) and milk samples (fluorescence mode: 88.00–104.00 %; colorimetric mode: 86.15–115.22 %). Hence, the developed immunoassay has great application potential for sensitive detection of MBF residues in foods.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108366"},"PeriodicalIF":4.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nutritional profiling of nutrient-dense bivalves from the Indian Peninsula as a sustainable blue food source: From sea to superfood","authors":"Ashwin Ashok Pai , Kajal Chakraborty , Anoop Pulathara Vijay , Rekha Devi Chakraborty","doi":"10.1016/j.jfca.2025.108354","DOIUrl":"10.1016/j.jfca.2025.108354","url":null,"abstract":"<div><div>Marine bivalves are emerging as nutrient-rich “Blue Foods” with potential to address malnutrition and support sustainable diets. This study profiled the nutritional composition of five species, such as <em>Perna viridis</em>, <em>Saccostrea cucullata</em>, <em>Geloina erosa</em>, <em>Perna indica</em>, and <em>Magallana bilineata</em>, from the Indian Peninsula. Bivalves, characterized by > 75 % moisture and ∼1 % ash content, were found to be protein-rich (11–15 %), with particularly high levels in <em>P. viridis</em> (14.96 %) and <em>G. erosa</em> (14.6 %). Essential amino acids (EAAs) constituted 54–58 % of total amino acids in <em>P. viridis</em>, <em>S. cucullata</em>, and <em>G. erosa</em>, dominated by phenylalanine, leucine, and arginine (making up to 27–30 % of EAAs). <em>M. bilineata</em> and <em>S. cucullata</em> showed elevated Arg/Lys ratios (> 6.7), suggesting cardiovascular and immune benefits. Mineral profiles were species-specific, with <em>S. cucullata</em> and <em>M. bilineata</em> being particularly rich in zinc (⁓ 45 mg/kg), while <em>G. erosa</em> showed the highest concentrations of iron (⁓ 41 mg/kg) and magnesium (⁓2635 mg/kg) content. Polyunsaturated fatty acids accounted for 27–30 % of the total fatty acid content across all species, with notable levels of eicosapentaenoic (6.6–8.7 %) and docosahexaenoic acid (4.0–5.3 %). These profiles resulted in favorable atherogenic (AI: 0.92–1.05) and thrombogenic indices (TI: 0.53–0.61) (TI: 0.53–0.61), particularly in <em>P. indica</em>, which exhibited the most favorable values (AI: 0.92; TI: 0.53). These findings highlight Indian bivalves as nutrient-dense superfoods.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108354"},"PeriodicalIF":4.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analytical evaluation of chlorfenapyr insecticide in poisoned food using a sustainable eugenol-coated rotating paper disc microextraction technique","authors":"Rajeev Jain , Bharti Jain , Sukhminder Kaur , Joydip Choudhury , Sarah Alharthi , Shweta Sharma","doi":"10.1016/j.jfca.2025.108360","DOIUrl":"10.1016/j.jfca.2025.108360","url":null,"abstract":"<div><div>A novel eugenol-impregnated rotating paper disc (RPD) device was designed for the extraction of the chlorfenapyr insecticide from complex solid food matrices, including flatbread of maize and various flour types such as millet, wheat, maize, chickpea, refined, and rice. The device harnesses the sorptive capacity of cellulose and the functional groups of eugenol (hydroxyl and aromatic), enabling π–π stacking and hydrogen bonding with aromatic and carbonyl moieties of chlorfenapyr to enhance retention. The RPD device, made by enclosing a magnetic stir bar between two eugenol-treated cellulose discs (1.5\"), was immersed in diluted food samples and stirred at 400 rpm for 30 min to extract insecticides. Analytes were then desorbed in 1.5 mL acetone and analyzed by GC-MS. The optimized yielded limits of quantification (LOQ) between 0.033 and 0.099 µg g⁻¹ . Intra-day and inter-day studies revealed relative standard deviations below 6 % and 10 %, respectively. Moreover, the proposed protocol attained a Click Analytical Chemistry Index (CACI) score of 85 and a Complex Modified Green Analytical Procedure Index (ComplexMoGAPI) score of 83, demonstrating its exceptional greenness and operational simplicity for forensic and toxicological applications. In addition, the suggested approach demonstrated efficacy in detecting chlorfenapyr in allegedly contaminated real forensic food samples.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108360"},"PeriodicalIF":4.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Novel fatty-acid eutectics for solidified floating-DES drop extraction of vitamin D3 from horse milk followed by HPLC determination","authors":"Fatemeh Tamaddon, Bahar Zare-Banadkouki","doi":"10.1016/j.jfca.2025.108340","DOIUrl":"10.1016/j.jfca.2025.108340","url":null,"abstract":"<div><div>Due to the nutritional importance of vitamin D<sub>3</sub>, the development of new extraction methods for this vitamin is highly desirable. Herein, we designed hydrophobic deep eutectic solvents (HDESs) based on stearic acid (SA), oleic acid (OA), and choline chloride (ChCl) for the vitamin D<sub>3</sub> extraction from horse milk. Accordingly, the extracted complex of vitamin D<sub>3</sub>/HDES was solidified, back-extracted, and the vitamin D<sub>3</sub> amount was determined by HPLC analysis. Among the examined hydrophilic and hydrophobic DESs, ChCl:SA (1:2) (HDES-3) and sodium stearate (NaSt):OA (1:4) (HDES-11) demonstrated higher extraction yields 1000.1 µg/L for HDES-3 than 800 µg/L for HDES-11. Either the higher regularity in non-bent layers of SA or the smaller hydrophilic core of HDES-3 are accountable for its interlayer hydrophobic interactions with fat-soluble vitamin D<sub>3</sub>. The intra/inter-day repeatability (4.86 %-8.71 % RSD, linearity 0.5–10 mg/L, R² coefficient 0.9983, LOD 0.17 mg/L, and LOQ 0.5 mg/L are analytical concerns of this method. Results suggest vitamin D<sub>3</sub> enrichment of horse milk and proficiency of the fatty acid-based HDESs for improving solidified floating-DES drop extraction. This method offers a suitable, bio-degradable, and non-toxic alternative for extracting oil-soluble food compositions and natural compounds.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108340"},"PeriodicalIF":4.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patipon Teerakitchotikan , Tibet Tangpao , Mario Jekle , Angkhana Inta , Shashanka K. Prasad , Sarana Rose Sommano
{"title":"A feasibility study for utilisation of legumes as sustainable protein-rich food in a refugee camp","authors":"Patipon Teerakitchotikan , Tibet Tangpao , Mario Jekle , Angkhana Inta , Shashanka K. Prasad , Sarana Rose Sommano","doi":"10.1016/j.jfca.2025.108368","DOIUrl":"10.1016/j.jfca.2025.108368","url":null,"abstract":"<div><div>This study aims to evaluate the potential of edible legumes available in northern Thailand as sustainable protein sources for resource-limited populations, such as refugees. Thirteen edible legume germplasm types were collected from local markets in five northern Thai provinces and commercial plant breeders, with yields assessed and taxonomic identification confirmed through plant structures. Ethnobotanical knowledge was gathered through interviews with residents of a Myanmar refugee camp near the border of Tak Province, Thailand. The germplasms were classified into four genera: <em>Glycine</em>, <em>Phaseolus</em>, <em>Pisum</em>, and <em>Vigna</em>. Edible legumes within <em>Vigna</em> sp. exhibited the highest germination rate (100 %), earliest fruiting (67 days post-planting), and highest total seed yield. Soybean (<em>Glycine</em> sp.) and mung bean (<em>Vigna</em> sp.) were recognised and commonly used as food materials. Nutritional analysis of the dry seeds revealed substantially high protein contents (19.0–36.4 %), with lysine, leucine, and phenylalanine as major essential amino acids, and an Essential Amino Acid Index (EAAI) ranging from 1.00 to 1.89. The fatty acid profile included palmitic acid, oleic acid, linoleic acid, and α-linolenic acid. This study underscores the potential of locally available Thai legumes to enhance food security for vulnerable by highlighting nutritional value and promoting integration into sustainable food systems.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108368"},"PeriodicalIF":4.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ruonan He , Yunfu Liu , Meng Zhou , Changqing Wei , Wenyu Liu , Yu’e Ma , Peng Luo
{"title":"Comparison of co-pressing and separate pressing on the oxidative stability and lipidomic signature of ω-6/ω-3 balanced flaxseed-peanut blended oils","authors":"Ruonan He , Yunfu Liu , Meng Zhou , Changqing Wei , Wenyu Liu , Yu’e Ma , Peng Luo","doi":"10.1016/j.jfca.2025.108356","DOIUrl":"10.1016/j.jfca.2025.108356","url":null,"abstract":"<div><div>This study investigates the impact of “blending followed by pressing (Co-Pressing)” technology on the Oxidative Stability and Lipidomic Signatures of fatty acid-balanced flaxseed-peanut blended oils compared to “pressing individually followed by blending (Separate Pressing)” technology. By integrating physicochemical analyses with untargeted lipidomics and multivariate statistical modeling, we systematically evaluated oxidative stability, nutrient retention, and lipidomic profiles with different pressing techniques. Results revealed that co-pressed oils exhibited enhanced oxidative resistance and superior preservation of endogenous antioxidants, including tocopherols and phytosterols, relative to traditionally separate pressing. A prominent manifestation is that, under the premise of balanced fatty acids, the retention rate of total phenols is significantly 5.40 % higher than that in the traditional separate pressing. Via lipidomic analysis of three oil samples, we identified 725 lipids that covered 6 categories and 37 subclasses. Meanwhile, through multivariate statistical analysis, we ultimately identified 12 distinct lipid biomarkers from the 725 lipids detected. Further, we established a preliminary link between these characteristic markers and oxidation markers via Spearman correlation analysis. These findings demonstrate that co-pressing technology significantly improves the quality of blended oils by preserving bioactive components and suppressing oxidation pathways.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108356"},"PeriodicalIF":4.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haoyang Xu , Zhihua Li , Xiaowei Huang , Sihui Chen , Ke Zhang , Peipei Gao , Jiyong Shi , Xiaobo Zou
{"title":"Investigation of pigment degradation dynamics of garlic scapes in simulated hot-chain systems using hyperspectral imaging-guided kinetic modeling","authors":"Haoyang Xu , Zhihua Li , Xiaowei Huang , Sihui Chen , Ke Zhang , Peipei Gao , Jiyong Shi , Xiaobo Zou","doi":"10.1016/j.jfca.2025.108349","DOIUrl":"10.1016/j.jfca.2025.108349","url":null,"abstract":"<div><div>Maintaining color stability in vegetable dishes under hot-chain conditions remains challenging. This study explored pigment degradation kinetics using hyperspectral imaging with chemometrics, comparing three models (PLS, IPLS, SIPLS) for five pigments after 11 spectral preprocessing methods with PCA. Optimized models showed strong performance (calibration R²: 0.9707–0.9921; prediction R²: 0.9412–0.9739). Kinetic analysis revealed the Weibull model's superiority (R²: 0.9558–0.9988) over traditional kinetic models. Synergistic enzyme-thermal degradation mechanisms were proposed, incorporating enzyme catalytic/inactivation rates and non-enzymatic degradation. Pearson analysis identified thermal exposure duration (- 0.755 to - 0.864 correlation) as the primary degradation driver, followed by temperature-related mass loss rates (0.663 to −0.759). Quantitative visualization to study pigment distribution, mass change, and color change to study apparent changes. These findings provide mechanistic insights into pigment degradation pathways and practical strategies for optimizing vegetable dish quality in commercial hot-chain systems.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108349"},"PeriodicalIF":4.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Zhao , Ruoni Wang , Ziqi Zhang , Yue Yu , Zhongyang Ren , Yue Huang , Zhanming Li
{"title":"Quantitative analysis of multi-component adulteration in camellia oil by near-infrared spectroscopy combined with long short-term memory neural networks algorithm","authors":"Jing Zhao , Ruoni Wang , Ziqi Zhang , Yue Yu , Zhongyang Ren , Yue Huang , Zhanming Li","doi":"10.1016/j.jfca.2025.108359","DOIUrl":"10.1016/j.jfca.2025.108359","url":null,"abstract":"<div><div>Deep learning algorithms have provided new alternatives for the analysis of multi-component adulteration in foods with considerable attention recently. Near-infrared spectroscopy (NIRS) was employed to combine with various neural network algorithms such as convolutional neural networks (CNNs) and long short-term memory (LSTM) neural networks for quantitative identification of multi-component adulteration in camellia oil. The findings showed that the developed LSTM regression model for predicting the adulteration level in camellia oil exhibited satisfactory accuracy and excellent generalization ability. The sample datasets partitioning based on joint x-y distance (SPXY)-savitzky-golay smoothing (SG)-LSTM model corresponds to camellia oil adulterated with maize oil and soybean oil (CMS) (determination coefficient of the prediction datasets (<em>R²p</em>)= 0.9920, root mean square error of the prediction datasets (RMSEP)= 0.0264, residual predictive deviation of the validation set (RPDv)= 6.67); the SPXY-SG second derivative (SG-SD)-LSTM model corresponds to camellia oil adulterated with rapeseed oil and maize oil (CRM) (<em>R²p</em> = 0.9377, RMSEP=0.0716, RPDv=4.02); and the SPXY-standard normal variate (SNV)-LSTM model corresponds to camellia oil adulterated with soybean oil and rapeseed oil (CSR) (<em>R²p</em> = 0.9504, RMSEP=0.0547, RPDv=4.39). As above, the findings provide new support for the development of modeling methods for multi-component adulteration in vegetable oils, which contributes to promoting the quality control of vegetable oils.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"148 ","pages":"Article 108359"},"PeriodicalIF":4.6,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145154787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}