Zhengying Si , Feng Chen , Fan Jiang , Qiongzhang Wang , Liping Guo , Shanshan Yu , Yizheng Huang , Songyin Qiu , Yude Yu , Enjing Tian , Jiayao He , Guangsheng Liang , Zhao Li
{"title":"Quantitative and rapid on-site identification of multi-species toxic mushrooms with a portable sample-to-answer platform","authors":"Zhengying Si , Feng Chen , Fan Jiang , Qiongzhang Wang , Liping Guo , Shanshan Yu , Yizheng Huang , Songyin Qiu , Yude Yu , Enjing Tian , Jiayao He , Guangsheng Liang , Zhao Li","doi":"10.1016/j.jfca.2026.108950","DOIUrl":"10.1016/j.jfca.2026.108950","url":null,"abstract":"<div><div>Mushroom poisoning presents significant food safety and public health risks. The rapid, accurate point-of-care testing is critical for detoxification and saving lives. However, traditional toxin-based assays require costly instrumentation and specialized operators, making them unsuitable for rapid on-site testing of poisonous mushrooms. Thus, we developed a portable multiplex qPCR platform featuring a novel nucleic acid release rubbing tube that enables integrated sample-to-answer molecular diagnosis. This mechanically assisted nucleic acid release concept eliminates the need for chemical lysis or centrifugation. The cost-effective platform detects as few as 0.5 copies µL<sup>−1</sup> (830.5 zM or 1.54 ag/μL) and simultaneously tests 6 samples / 12 species in 38 min—nearly half the time of standard commercial mushroom qPCR assays. Assay specificity was validated using 8 primer/probe sets derived from database-scale internal transcribed spacer (ITS) regions design workflow. Moreover, we successfully tested 24 toxic mushroom samples under raw, cooked, and digested conditions, demonstrating robust adaptability across real-world matrices. Beyond mushroom toxins, this modular, field-deployable qPCR architecture provides a prospective framework for universal on-site pathogen detection, environmental surveillance, and resource-limited diagnostic applications.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108950"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171122","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}
Yaqin Wang , Wen Pan , Ranran Xu , Guangmin Liu , Hongwen Li , Xuwei Duan , Xiaoming Zhang , Shanshan Zhao , Jiahua Zhou , Baogang Wang
{"title":"Anthocyanin retention in four cherry species with distinct phenolic profiles during puree processing","authors":"Yaqin Wang , Wen Pan , Ranran Xu , Guangmin Liu , Hongwen Li , Xuwei Duan , Xiaoming Zhang , Shanshan Zhao , Jiahua Zhou , Baogang Wang","doi":"10.1016/j.jfca.2026.108960","DOIUrl":"10.1016/j.jfca.2026.108960","url":null,"abstract":"<div><div>Cherries are rich in anthocyanins, but processing often causes their degradation. In this study, we comparatively assessed the processing adaptability of four cherry species (<em>Prunus avium</em> [PA], <em>Prunus cerasus</em> [PC], <em>Prunus pseudocerasus</em> [PP] and <em>Prunus tomentosa</em> [PT]) during thermal puree production. The phenolic composition of cherry berries exhibited variability among species. The dominant anthocyanins in PA, PC and PP were cyanidin-glycosides, while PT exhibited a distinctive profile where pelargonidin-3-<em>O</em>-rutinoside (Pg3R) accounted for 98 %. After puree processing, the retention rate of total anthocyanins was 80 % in PT<em>,</em> whereas PA and PP retained less than 20 %. This superior stability is attributed to the dominance of Pg3R in PT, which was found to be more stable than cyanidin-based anthocyanins during puree processing. Furthermore, PT showed the highest retention rates of phenolic acids and flavonols. Pulping was identified as the critical control point for pigments retention since the greatest loss of anthocyanins occurred during this stage, suggesting that the non-thermal processing procedure should be carefully optimized for color retention. Overall, these findings provide the foundation for preserving the color and nutritional quality of cherry products and highlight PT as a promising raw material for deep processing, owing to its superior retention of bioactive compounds.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108960"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076094","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}
Irene Locatelli , Silvia Grassi , Alessandro Grassi , Giulia Gorla , José Manuel Amigo
{"title":"Detection of kiwifruit low-force early bruise by combining surface textural parameters and near-infrared hyperspectral imaging","authors":"Irene Locatelli , Silvia Grassi , Alessandro Grassi , Giulia Gorla , José Manuel Amigo","doi":"10.1016/j.jfca.2026.108951","DOIUrl":"10.1016/j.jfca.2026.108951","url":null,"abstract":"<div><div>This study evaluates the feasibility of detecting and monitoring occurrence and progression of low-force mechanical damage in kiwifruit (<em>Actinidia deliciosa</em>) using Near-Infrared Hyperspectral Imaging combined with surface texture analysis and multivariate classification. Previous studies have applied HSI for bruise detection but often used unrealistically high impact forces, limiting relevance to real-world handling conditions. ‘Hayward’ kiwifruit were subjected to controlled impact forces of very low intensity (23.4 N and 46.8 N) to simulate realistic damage and stored at 25 ± 1 °C for five days. Hyperspectral data were acquired using a short-wave infrared camera (960–2500 nm) at different sampling times. Principal Component Analysis (PCA) was applied to reduce data dimensionality, and surface texture features extracted from PCA score images accounted for fruit shape and surface characteristics. A Partial Least Squares – Discriminant Analysis (PLS-DA) model classified damaged versus healthy tissue, achieving an overall accuracy of 94.7 % across hyperspectral images. Changes in damaged pixels allowed an indirect evaluation of progressive tissue degradation.</div><div>Results showed a high detection of damaged (invisible to naked eye) and healthy tissue, demonstrating the efficiency of the methodology in preventing fruits affected by realistic damage from entering the fresh market while facilitating their use in alternative applications.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108951"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146076095","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}
Yaodeng Wang , Honghong Liang , Juan Wang , Hua Du , Guihua Jiang , Min Yang
{"title":"Comparison and analysis of four Citrus aurantium varieties used in Aurantii Fructus in terms of chemical profiles","authors":"Yaodeng Wang , Honghong Liang , Juan Wang , Hua Du , Guihua Jiang , Min Yang","doi":"10.1016/j.jfca.2026.108941","DOIUrl":"10.1016/j.jfca.2026.108941","url":null,"abstract":"<div><div>Aurantii Fructus (AF), the dried unripe fruit of <em>Citrus aurantium</em> L., is a widely used food-medicine homology resource with valued nutritional and bioactive properties. As a member of the genus Citrus, AF has multiple cultivated varieties, but systematic phytochemical profiling of distinct AF varieties remains insufficient, hindering accurate quality evaluation and rational utilization. This study aimed to characterize the chemical profiles of four cultivated AF varieties: <em>C. aurantium</em> 'Xiucheng', <em>C. aurantium</em> 'Chuan', <em>C. aurantium</em> 'Daidai', and <em>C. aurantium</em> 'Huangpi'. An integrated analytical platform combining UPLC-Q-Exactive Orbitrap-MS and GC-MS was used to identify 129 non-volatile and 62 volatile compounds. Multivariate analysis revealed 15 non-volatile and 11 volatile markers for variety discrimination. UPLC quantitative analysis of 17 major differential components revealed distinct accumulation patterns: all varieties were high in naringin and neohesperidin; <em>C. aurantium</em> 'Daidai' had elevated vicenin II, neoeriocitrin, and luteolin; <em>C. aurantium</em> 'Xiucheng' and <em>C. aurantium</em> 'Huangpi' were rich in narirutin and meranzin hydrate; <em>C. aurantium</em> 'Huangpi' had the highest hesperidin content. These findings confirm significant inter-variety chemical variations, provide theoretical support for AF’s application in pharmaceuticals and functional foods, and lay a scientific basis for variety authentication and quality evaluation.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108941"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171121","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}
Marcos Rodríguez-Estrada , Ángel A. Carbonell-Barrachina , Lucía Andreu-Coll , Francisca Hernández , Antonio J. Signes-Pastor
{"title":"Effect of deficit irrigation strategies on the elemental composition of “Mirlo Rojo” apricot cultivated in Spain","authors":"Marcos Rodríguez-Estrada , Ángel A. Carbonell-Barrachina , Lucía Andreu-Coll , Francisca Hernández , Antonio J. Signes-Pastor","doi":"10.1016/j.jfca.2026.108957","DOIUrl":"10.1016/j.jfca.2026.108957","url":null,"abstract":"<div><h3>Background</h3><div>Deficit irrigation (DI) is a key strategy for optimizing water use in agriculture, particularly in regions affected by climate change. This study evaluates the effects of four DI regimes (100 %, 66 %, 33 %, and 0 % of crop evapotranspiration) on the elemental profile of \"Mirlo Rojo\" apricots (<em>Prunus armeniaca</em> L.) cultivated in southeastern Spain.</div></div><div><h3>Methodology</h3><div>Essential (B, Ca, Cu, Fe, K, Mg, Mn, Na, P, and Zn) and non-essential elements (As, Cr, Pb, and Rb) were quantified by ICP MS following microwave-assisted acid digestion. Data analysis employed Kruskal-Wallis test and Spearman’s rank correlation (bivariate analysis). Method validity was confirmed by 80 %-120 % recovery rates.</div></div><div><h3>Results</h3><div>Seven elements varied significantly (B, Cu, Fe, Na, P, Pb, Rb), while major elements (K, Ca, Mg), Mn and Zn remained stable. K, the most abundant element, peaked at 18,200 mg/kg (33 % DI). As was undetectable and Pb (0.11–0.13 mg/kg) remained below current European regulatory limits, regardless of DI. Non-monotonic responses and significant element correlations were observed, suggesting complex soil-plant interactions.</div></div><div><h3>Conclusion</h3><div>DI did not appear to compromise fruit safety or nutritional value. The element stability under water stress supports the potential of DI as a sustainable water management practice without increasing potentially toxic elements.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108957"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171123","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}
Mir Ali Farajzadeh , Zahra Asghari , Sakha Pezhhanfar , Mohammad Reza Afshar Mogaddadam
{"title":"The application of NiCo-LDH for the extraction and preconcentration of some widely used pesticides from strawberry juice samples prior to their determination by gas chromatography","authors":"Mir Ali Farajzadeh , Zahra Asghari , Sakha Pezhhanfar , Mohammad Reza Afshar Mogaddadam","doi":"10.1016/j.jfca.2026.108994","DOIUrl":"10.1016/j.jfca.2026.108994","url":null,"abstract":"<div><div>This study presents a method combining dispersive micro-solid phase extraction with dispersive liquid-liquid microextraction for the extraction of pesticide residues from strawberry juice samples. A ZIF-67-derived nickel-cobalt-layered double hydroxide was employed as the sorbent. The method involved the adsorption of analytes onto the sorbent surface by vortexing in a solution containing dissolved sodium chloride, followed by centrifugation to isolate the sorbent particles. The pesticides were then desorbed from the sorbent using a mL-volume of methanol. A µ<span>L</span>-volume of 1,2-dibromoethane was added to this methanolic extract, and the resulting mixture was rapidly injected into deionized water. The cloudy solution was formed and underwent centrifugation, and an aliquot of the settled extractant was injected into the gas chromatograph equipped with a flame ionization detector. The method demonstrated favorable linearity (r<sup>2</sup> ≥0.990), high enrichment factors (160−455), acceptable extraction recoveries ranging from 32 % to 91 %, and low limits of quantification (1.6–31 µg L<sup>−1</sup>) and detection (0.5–9.3 µg L<sup>˗1</sup>). The novelty of this study lies in the first-time utilization of a MOF-derived NiCo-LDH for pesticides determination, offering enhanced adsorption capacity, selectivity, and stability over traditional sorbents. This approach demonstrated minimal matrix effect in complex strawberry juice samples and offered a simple, efficient, and cost-effective option for pesticides residue analysis.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108994"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147421699","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}
Jianghong Ran, Guolong Dong, Weizhen Xiao, Fan Yi, Li Li, Yue Wu
{"title":"Explainable AI-driven hyperspectral imaging for non-destructive geographical discrimination of small-fruited sea buckthorn: Metabolic correlations and feature optimization","authors":"Jianghong Ran, Guolong Dong, Weizhen Xiao, Fan Yi, Li Li, Yue Wu","doi":"10.1016/j.jfca.2026.108985","DOIUrl":"10.1016/j.jfca.2026.108985","url":null,"abstract":"<div><div>Small-fruited sea buckthorn exhibits substantial compositional variation across different geographical origins, necessitating accurate classification methods. This study established a reproducible hyperspectral imaging (HSI)-driven pipeline, in which deep learning enabled non-destructive geographical classification, and untargeted metabolomics together with SHapley Additive exPlanations (SHAP) were integrated to elucidate the metabolic basis and key spectral features underlying the classification. The convolutional neural network (CNN) trained on pre-processed HSI spectra achieved robust discrimination of samples from five geographical origins, with a validation accuracy of 93.3 %, outperforming benchmark models. The dataset comprised 90 sea buckthorn fruit samples from each of five geographical origins, with one ROI spectrum per fruit, obtained from a 700 × 700 pixel region. SHAP was applied to quantify wavelength contributions and identify globally important features, enabling a 45.9 % reduction in wavelengths without loss of predictive performance. In parallel, untargeted metabolomics analysis using UPLC-QTOF-MS under positive and negative ion modes identified origin-related differential metabolites. Correlation analysis between SHAP-selected wavelengths and metabolite abundances established spectral–metabolic associations linking characteristic wavelengths to major classes of discriminative metabolites, providing mechanistic support for the observed hyperspectral signatures and geographical discrimination of sea buckthorn. This integrated strategy supports rapid, non-destructive authentication and traceability of sea buckthorn.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108985"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171047","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":"Intelligent identification of geographical origin of Xihu Longjing tea using dynamic time-resolved colorimetric sensor array fingerprint combined with machine learning","authors":"Qing-Qing Luo, Xing-Zi Ding, Zheng-Yun He, Xiao-Long Du, Hui-Wen Gu, Xiao-Li Yin","doi":"10.1016/j.jfca.2026.108991","DOIUrl":"10.1016/j.jfca.2026.108991","url":null,"abstract":"<div><div>The geographical origin of tea significantly influences its flavor and quality. This paper proposes an intelligent method for identifying the origin of Xihu Longjing (XHLJ) tea using dynamic time-resolved colorimetric sensor array (CSA) combined with machine learning. By employing a sixteen-indicator CSA, dynamic time-resolved fingerprint representing the interactions between the volatile organic compounds (VOCs) in XHLJ tea and non-XHLJ Longjing tea was acquired. The inherent aroma chemistry variations shape the unique sensor response patterns of the array. The dynamic time-resolved fingerprint data from different tea samples were analyzed using four machine learning methods, including partial least squares discriminant analysis (PLS-DA), linear discriminant analysis (LDA), support vector machine (SVM), and convolutional neural network (CNN). CNN - based method achieved 95.60 % test set accuracy, showing high recognition and stability in distinguishing XHLJ tea from other Longjing teas. The integration of time-dependent CSA response with deep learning enables intelligent discrimination of subtle aroma differences driven by terroir. For identifying sub-regions within the XHLJ production areas, SVM achieved 95.65 % test set accuracy. This work provides a method for the geographical origin of XHLJ tea that is faster and more convenient than traditional methods, offering a cost-effective and efficient approach for tea quality assessment.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108991"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146171050","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}
Qiang Hu , Zhuoyu Huang , Shuangqi Cheng , Leping Quan , Lan Wang , Guangfa Xie , Qi Peng
{"title":"Advances in the study of bitter compounds in alcoholic beverages: A review and implications for the production of Chinese Huangjiu","authors":"Qiang Hu , Zhuoyu Huang , Shuangqi Cheng , Leping Quan , Lan Wang , Guangfa Xie , Qi Peng","doi":"10.1016/j.jfca.2026.108961","DOIUrl":"10.1016/j.jfca.2026.108961","url":null,"abstract":"<div><div>Bitterness is a critical sensory attribute that influences the consumer acceptance and production quality of Huangjiu (Chinese rice wine). While moderate bitterness contributes to its complexity, excessive levels disrupt flavor harmony and hinder industrial mechanization. This review provides a comprehensive summary of the origin, identification, and control of bitter compounds in alcoholic beverages, with particular emphasis on Huangjiu. Drawing on recent advances in sensory-guided fractionation, mass spectrometry, and taste-directed isolation, this review outlines methodologies that have been successfully applied to wine, sake, and beer, and discuss their implications for Huangjiu. Available evidence suggests that bitter peptides may contribute more strongly than free amino acids to Huangjiu bitterness, although systematic reconstruction/omission tests remain scarce. Notably, hydrophobic peptides derived from rice and wheat proteins may be responsible for residual bitterness, based on analogy to rice-based fermentations and limited Huangjiu taste-guided identifications. A critical analysis of debittering strategies—including adsorption, masking, and enzymatic approaches—is also presented. Where applicable, engineering recommendations are presented as indicative pilot ranges rather than universally validated operating conditions. This review offers valuable insights and practical guidance for improving the sensory quality of Huangjiu and advancing its moderniza.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108961"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170979","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":"Analysis of toxic and radiotoxic heavy metals in some cereal grains consumed in Türkiye and assessment of potential health risk","authors":"Şeref Turhan , Ergin Murat Altuner , Aslı Kurnaz , Kenan Akyol , Aybaba Hançerlioğulları , Aydan Altıkulaç","doi":"10.1016/j.jfca.2026.108958","DOIUrl":"10.1016/j.jfca.2026.108958","url":null,"abstract":"<div><div>This study analyzed the concentrations of toxic (Cr, Co, Cu, etc.) and radiotoxic (U, Th) heavy metals (HMs) in 40 commercial cereal samples consumed in Türkiye by using an energy dispersive X-ray fluorescence spectrometer. Health risks caused by ingestion of cereal samples were assessed using the hazard index (HI), annual effective dose (E<sub>Eff</sub>), and the excess lifetime cancer risk (LCR) models. The average concentrations (mg/kg dry weight) of HMs analyzed in the samples were 2.7 (Cr), 6.4 (Co), 7.9 (Cu), 49.8 (Fe), 49.4 (Mn), 7.6 (Ni), 40.4 (Zn), 1.0 (U), and 1.4 (Th). Wheat and maize showed HI > 1, indicating potential concern for consumers. The total annual effective dose exceeded global averages primarily due to Th in cereal samples. Findings highlight the need for monitoring and consumer guidance.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"151 ","pages":"Article 108958"},"PeriodicalIF":4.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170983","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}