Journal of Food Composition and Analysis最新文献

{"title":"Terminal residues, dissipation dynamics and dietary risk assessment of metalaxyl-M in four types of food","authors":"Aiguo Gu ,&nbsp;Hong Li ,&nbsp;Bo Zhan ,&nbsp;Jin Lin ,&nbsp;Song Yang ,&nbsp;Xiaoqiang Zhang","doi":"10.1016/j.jfca.2025.107464","DOIUrl":"10.1016/j.jfca.2025.107464","url":null,"abstract":"<div><div>Metalaxyl-M has become a widespread fungicide utilized across a diverse array of crops, posing potential food residue and human safety concerns. Given limited research into terminal residues, dissipation dynamics and dietary risk assessment of metalaxyl-M, the research aims to investigate the fate of metalaxyl-M, on four key crops: potatoes, taroes, melons, and grapes employing ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). In this study, the residues and dietary risk assessment of metalaxyl-M was assessed by evaluating the fate of metalaxyl plus metalaxyl-hydroxymethyl, which was defined as total metalaxyl. Results revealed the dissipation half-life of total metalaxyl on grapes was in the range of 10.7–14.2 days, while non-first-order kinetics were observed in other crops. Final residues of total metalaxyl consistently remained below MRLs across all crops. Risk quotients for total metalaxyl were significantly below 100 % on all crops, indicating a minimal health risk to Chinese adults. The findings of this study provide a comprehensive understanding of total metalaxyl residues, the dissipation, and the dietary risk, providing valuable insights for metalaxyl-M application.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107464"},"PeriodicalIF":4.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563541","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":"Optimization and validation of a QuEChERS method for health risk assessment of pesticide residues in tomato, eggplant, and okra samples from Gujarat, India","authors":"Sivaperumal Perumal ,&nbsp;Manisha Arunkumar ,&nbsp;Tejal Mehta ,&nbsp;Rupal Thasale ,&nbsp;Divya Kottadiyil","doi":"10.1016/j.jfca.2025.107413","DOIUrl":"10.1016/j.jfca.2025.107413","url":null,"abstract":"<div><div>Pesticides, due to their persistence and widespread use, pose significant concerns for human health. This study presents the optimization and validation of a rapid, reliable, and efficient method for the determination of 61 pesticide residues in tomato, eggplant, and okra samples from Gujarat, India, using QuEChERS extraction coupled with UHPLC-q-TOF/MS and GC-MS/MS in Multiple Reaction Monitoring (MRM) mode. SANTE/11312/2021 guidelines was utilized for validation, demonstrating excellent linearity (&gt;0.99), with recovery ranging from 72–124 %. The limits of detection (LOD) ranged from 0.0004 to 0.0065 mg/kg, and the limit of quantifications LOQs ranged from 0.0014 to 0.021 mg/kg, with matrix effects of ± 20 % and RSD values of &lt; 20 %. A total of 25 % of market samples from the western regions of India showed multiple pesticide residues, cypermethrin and pyrethroids, being frequently detected (12.5 %) in eggplant; tebuconazole and monocrotophos detected in 16 (40 %) okra samples, with some exceeding the maximum residue limits (MRLs) prescribed by the EU. Although health risk assessment based on Hazard Quotient (HQ) and Hazard Index (HI) suggested no significant health risks for both adults and adolescents, further monitoring is recommended.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107413"},"PeriodicalIF":4.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563371","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":"Soil-driven terroir: Impacts on Vitis vinifera L. 'Karasakiz' wine quality and phenolic composition","authors":"Nesrin Merve Çelebi Uzkuç ,&nbsp;Hasan Uzkuç ,&nbsp;Yasemin Kavdır ,&nbsp;Fatmagül Hamzaoğlu ,&nbsp;Ayşegül Kırca Toklucu","doi":"10.1016/j.jfca.2025.107444","DOIUrl":"10.1016/j.jfca.2025.107444","url":null,"abstract":"<div><div>'Karasakiz' (<em>Vitis vinifera</em> L.), is a local red grape variety native to Çanakkale, a province of Türkiye. This work aimed to characterize the phenolic profile of Karasakiz red wines and mainly investigate the effects of soil characteristics on the phenolic composition, antioxidant capacity, and color properties of the red wines produced. The study was conducted on three vineyards located in three different regions of Çanakkale, each with distinct chemical properties and textural characteristics, over two consecutive vintages (2019 and 2020). The phenolic profiles and color properties of red wines varied depending on the year and region, and were strongly influenced by soil texture. A strong correlation (r = 0.897 and <em>P</em> &lt; 0.0001) was found between the percentage of sand in the soil and the total monomeric anthocyanin content of the wines. Total monomeric anthocyanin contents of Karasakiz wines ranged from 15.76 mg/L to 68.87 mg/L, while total phenolics ranged from 1238 mg/L to 1950 mg/L, with variations observed depending on the region and year. Additionally, a high positive correlation was observed between potassium concentration and the concentrations of ferulic acid and catechin in the wines. This study reveals the characteristic properties and phenolic composition of Karasakiz wines from different sub-regions, highlighting significant correlations in terms of the soil-wine relationship.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107444"},"PeriodicalIF":4.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563538","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":"A new perspective on geographical tracebility of sea cucumber (Apostichopus japonicus) in North China: Insight from multi-element stable isotope analysis of fatty acids","authors":"Huanyu Yang ,&nbsp;Yu Liu ,&nbsp;Guoguang Wang ,&nbsp;Jingwen Hu ,&nbsp;Guangzhi Rong ,&nbsp;Zhenshuo Yang ,&nbsp;Haixia Wang","doi":"10.1016/j.jfca.2025.107429","DOIUrl":"10.1016/j.jfca.2025.107429","url":null,"abstract":"<div><div>Compound-specific stable isotope analysis has evolved a well-established method for origin traceability of aquatic products. Screening of origin fingerprint characterization factors can improve the efficiency and accuracy of traceability. However, there is no report on screening characteristic fatty acids for sea cucumber traceability. In this study, <em>Apostichopus japonicus</em> were collected in Shandong and Liaoning Provinces, bulk δ¹³C, and carbon and hydrogen stable isotopes of fatty acids were analyzed. Differences in bulk δ¹³C of <em>Apostichopus japonicus</em> from different origins were insignificant, but the fatty acid δ¹³C varied greatly. By Principal Component Analysis and Partial Least Squares Discriminant Analysis, two-dimensional stable isotopes of fatty acids can be an effective method for tracing the origin of sea cucumbers. Saturated fatty acids (17:0, 20:0), Monounsaturated fatty acids (16:1n-7, 18:1n-9), and Polyunsaturated fatty acids (22:6n-3, 18:3n-3) were screened as the characteristic factors of origin traceability (Variable importance value of more than 1), which the strongest correlation with the main components. Introduced multi-element stable isotopes analysis of single compounds, which provided an effective method for screening the characterization factors.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107429"},"PeriodicalIF":4.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550928","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":"Identification of green pepper (Zanthoxylum armatum) impurities based on visual attention mechanism fused algorithm","authors":"Jian Zhang ,&nbsp;Jiajia Tan ,&nbsp;Chen Ma ,&nbsp;Pengxin Wu ,&nbsp;Yujiang Gou ,&nbsp;Qi Niu ,&nbsp;Weihai Xia ,&nbsp;Guanping Huo ,&nbsp;Ting An","doi":"10.1016/j.jfca.2025.107445","DOIUrl":"10.1016/j.jfca.2025.107445","url":null,"abstract":"<div><div>Hitherto, assessing the quality of green pepper via identification of impurities has, generally, been done manually. However, manual identification is commonly time and labor intensive. This investigation, thus, taking detection accuracy and reasoning speed on testing dataset as indicators, to explore an appropriate Convolutional Neural Network (CNN) for the detection of green pepper impurities. In terms of detection accuracy, the YOLOv5m outperformed representative target detection algorithms, composed of Faster R-CNN, Grid R-CNN, RetinaNet. Accordingly, the YOLOv5m was further, modified, via the usage of a Similarity-based Attention Mechanism (SimAM) module, to achieve better performance. Fortunately, to compare with YOLOv5m, the average precision (AP) and F1 score for all classes, YOLOv5m-SimAM fused algorithm achieved better results. Furthermore, under the situation of generally same model, parameters, and FLOPs sizes, the inference time of YOLOv5m-SimAM was, unbelievably, 50 % less than that of YOLOv5m. Corporately, both the detection accuracy and reasoning speed of YOLOv5m-SimAM were better than YOLOv5m, especially in reducing inference time. In practice, this case study may mark a critical step forward towards the detection of green pepper impurities to evaluate its quality, from theoretical to application.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107445"},"PeriodicalIF":4.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563540","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":"Advancements in nano-analysis methodologies for bioactive phenolic compounds","authors":"Yang Li ,&nbsp;Li He ,&nbsp;Haipeng Hu ,&nbsp;Ziyi Xia ,&nbsp;Wenying Dong ,&nbsp;Xianxiang Wang","doi":"10.1016/j.jfca.2025.107446","DOIUrl":"10.1016/j.jfca.2025.107446","url":null,"abstract":"<div><div>Bioactive phenolic compounds, which are naturally occurring chemicals in foods and plants, have a variety of biological activities, including antioxidant, antibacterial, anti-inflammatory, antiviral, and anticancer. Rapid and sensitive detection of phenolic compounds is therefore important to human health. In recent years, the marriage of nanomaterials with different analytical techniques has made some great breakthroughs in qualitative and quantitative analysis of bioactive phenolic compounds. Herein, we have comprehensively reviewed the recent advances (2020-now) in different analytical methods for bioactive phenolic compounds by integrating functional nanomaterials with diversified signal output modes, such as colorimetry, fluorescence, chemiluminescence, electrochemistry, and electrochemiluminescence. In addition, further directions regarding nano-analysis approaches for phenolic compounds are also discussed. The rapid development of advanced nanomaterial-based techniques will inspire further significant contribution to biomolecule analysis.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107446"},"PeriodicalIF":4.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551013","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":"Near-infrared reflectance spectroscopy (NIRS): An innovative, rapid, economical, easy and non-destructive whole grain analysis method for nutritional profiling of pearl millet genotypes","authors":"Sunaina Yadav ,&nbsp;Maharishi Tomar ,&nbsp;Tripti Singhal ,&nbsp;Nilesh Joshi ,&nbsp;H.A. Bhargavi ,&nbsp;Naveen Aavula ,&nbsp;Sapna Langyan ,&nbsp;Tanay Joshi ,&nbsp;C.Tara Satyavathi ,&nbsp;Jai Chand Rana ,&nbsp;Sumer Pal Singh ,&nbsp;Rakesh Bhardwaj ,&nbsp;Amritbir Riar","doi":"10.1016/j.jfca.2025.107373","DOIUrl":"10.1016/j.jfca.2025.107373","url":null,"abstract":"<div><div>Pearl millet, known for its nutritional excellence and climatic resilience, is becoming important in addressing food and nutritional security Current work introduces Near Infrared Spectroscopy models to estimate nutrients in pearl millet grains. The model is quick, economic and non-destructive alternative to traditional methods, useful in advancing the single plant progenies for improving nutrient content in segregating generations. Spectra were acquired from 403 varied genotypes, and mathematical optimizations using derivatives were performed to enhance the models. The optimal configurations were \"2,36,6,2\" (order of derivatives, gap, first smoothing and second smoothing, respectively) for amylose, \"2,32,6,2\" for starch, \"2,32,8,2\" for oil and protein, and \"3,36,6,2\" for phytic acid. The models were refined using modified partial least squares (MPLS) regression on spectra processed to eliminate variations with standard normal variate (SNV) and detrending (DT) techniques. The adjusted MPLS models exhibited impressive coefficients of determination of 0.985, 0.984, 0.986, 0.969 and 0.993 for amylose, protein, oil, starch and phytic acid, respectively. The SEP(C) values for amylose (0.347), starch (0.732), protein (0.313), phytic acid (0.014), and oil (0.162) suggest variable levels of predictive precision. Validation with independent samples showed superior predictive performance with coefficients of determination values ranging from 0.878 for phytic acid to 0.976 for protein, minimal bias, high ratios of prediction to deviation (2.93–5.81), and no significant differences between the predicted and reference values (p &gt; 0.05). These advanced Near-Infrared Spectroscopy models allow quick and cost-effective nutritional assessment of pearl millet germplasm and breeding lines, supporting biofortification initiatives and enhancing nutritional security.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107373"},"PeriodicalIF":4.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging USDA databases to estimate population intakes of foods that are commonly consumed individually and in multi-component foods: The case of cheese","authors":"Rhonda S. Sebastian ,&nbsp;Joseph D. Goldman ,&nbsp;Alanna J. Moshfegh","doi":"10.1016/j.jfca.2025.107434","DOIUrl":"10.1016/j.jfca.2025.107434","url":null,"abstract":"<div><div>Estimating U.S. intakes of foods consumed both alone and in mixtures is challenging. Using cheese as an example, a methodology for calculating intakes of these kinds of foods in What We Eat in America (WWEIA), National Health and Nutrition Examination Survey (NHANES) is described. Food Data Central (FDC) codes that contain cheese and are included in the Food and Nutrient Database for Dietary Studies (FNDDS) 2017–2018 were identified using the Food Patterns Equivalents Ingredient Database. Together with information used to develop the Food Patterns Equivalents Database, every ingredient in each of these FDC codes was classified as 100 % cheese or not cheese. These deconstructed FDC profiles replaced the corresponding FDC codes in FNDDS, permitting calculation of the cheese content of every FNNDS food. Population intakes of cheese were then estimated by applying FNDDS to WWEIA, NHANES 2017–2018. Twelve percent of FNDDS foods contain cheese. Among adults ≥ 20 + years, 68 % consume cheese on any given day, and mean intake is 34 g; among children 2–19 years, the analogous estimates are 74 % and 30 g, respectively. USDA’s multiple data resources provide opportunities to address complex research questions, including those regarding nutritionally relevant foods that are ubiquitous in the food supply.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107434"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550929","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":"Ultrasensitive detection of tetracycline in animal-origin foods using self-nitrogen doped carbon dots as fluorescent probes","authors":"Mingying Chen ,&nbsp;Danni Wu ,&nbsp;Xiaoye Deng ,&nbsp;Junjie Ma ,&nbsp;Hui Fan ,&nbsp;Xiangru Huang ,&nbsp;Peiwen Wang ,&nbsp;Yingjie Li ,&nbsp;Xiufen Liao ,&nbsp;Lulu Si ,&nbsp;Congjin Chen","doi":"10.1016/j.jfca.2025.107414","DOIUrl":"10.1016/j.jfca.2025.107414","url":null,"abstract":"<div><div>In this study, we successfully synthesized self-nitrogen-doped carbon dots (N-CDs) from shrimp shells (waste biomass) via a hydrothermal process for tetracycline (TC) residue analysis in food. They exhibited excellent photostability, low toxicity, and a high fluorescence quantum yield (QY) of 9.72 %. Owing to the internal filtration effect (IFE) and static quenching effect (SQE), the fluorescence emission intensity of the N-CDs-based probe exhibited a marked decline concomitant with the augmentation of TC concentration. Under optimal circumstances, there was a robust linear relationship between the TC concentration (0–60 μM) and the system's degree of fluorescence quenching ((F₀-F)/F₀), with a low detection limit of 96 nM. The developed fluorescent probe was effectively applied to detect TC in milk and egg samples, achieving a relative standard deviation from 1.4 % to 3.2 % and recoveries from 98.2 % to 109.7 %, comparable to the standard high-performance liquid chromatography (HPLC) method. In conclusion, shrimp shell-derived N-CDs hold great potential as fluorescent probes for highly sensitive, selective, accurate and real-time TC detection, which is important in ensuring food safety.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107414"},"PeriodicalIF":4.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551043","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":"Exploring nutritional quality and bioactive compounds in Mediterranean bean landraces","authors":"Elisa Gorbe ,&nbsp;Miguel Morard ,&nbsp;Armand Rausell-Moreno ,&nbsp;Ángeles Calatayud ,&nbsp;Consuelo Penella","doi":"10.1016/j.jfca.2025.107433","DOIUrl":"10.1016/j.jfca.2025.107433","url":null,"abstract":"<div><div>This study aimed to characterize the nutritional and nutraceutical properties of ten Mediterranean bean landraces compared to a commercial variety (Big Borlotto, Batlle Seeds). Significant genetic diversity was found among the landraces, affecting their nutritional composition, mineral content, and bioactive compounds. Essential minerals such as calcium, iron, and zinc exhibited considerable variability, with landraces 103, 15, 40, and 102 showing higher mineral levels than the control variety. The fatty acid profiles varied, with linolenic acid being predominant, accounting for 39.1–47.3 % of total fat, depending on the genotype. Positive correlations between fatty acids and mineral content suggest complex interdependencies influencing grain quality, with the strongest correlations observed between Mg and linolenic (r = 0.66) or palmitic (r = 0.63) acids. Beans with colored seed coats exhibited higher antioxidant capacity attributed to phenolic acids, flavonoids, carotenoids, and ascorbic acid, emphasizing seed coat color as an indicator of nutritional quality. Principal Component Analysis (PCA) identified five clusters based on physical and nutritional traits, revealing correlations between seed size, color, and quality. These findings highlight the potential of bean landraces to promote local economies and biodiversity.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"142 ","pages":"Article 107433"},"PeriodicalIF":4.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}