Journal of Food Composition and Analysis最新文献_第9页

Speed and precision: Unveiling an ICP-MS method for ultra-trace 239Pu quantification in food 快速、精确：建立食品中超痕量239Pu的ICP-MS定量方法

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2025-12-31 DOI: 10.1016/j.jfca.2025.108856

Yinjie Zou , Hong Ren , Lei Zhou , Peng Wang , Yiyao Cao

{"title":"Speed and precision: Unveiling an ICP-MS method for ultra-trace 239Pu quantification in food","authors":"Yinjie Zou , Hong Ren , Lei Zhou , Peng Wang , Yiyao Cao","doi":"10.1016/j.jfca.2025.108856","DOIUrl":"10.1016/j.jfca.2025.108856","url":null,"abstract":"<div><div>A rapid, accurate, and sensitive inductively coupled plasma mass spectrometry (ICP-MS) method has been developed and validated for the determination of ultra-trace levels of Plutonium-239 (<sup>239</sup>Pu) in food. After ashing, samples were digested with lefort aqua regia and treated with FeCl<sub>3</sub> to mask phosphorus (P) interference, thereby preventing it from inhibiting the adsorption of Pu by the resin column. Subsequently, a two-stage TK200 resin column was employed for separation and purification, followed by ICP-MS analysis using kinetic energy discrimination (KED) mode. By combining a chromatographic column with ICP-MS, this method achieved an overall decontamination factor (DF) of 3.53 × 10<sup>12</sup> for uranium hydride ions (<sup>238</sup>UH<sup>+</sup>) and demonstrated excellent linearity within the given concentration range, with a correlation coefficient (<em>r</em>) exceeding 0.999. The limit of detection (LOD) was 3.6 fg/g (ash), with an average recovery of over 74 % and a relative standard deviation below 6.6 %. Furthermore, the proposed method's applicability was evaluated by quantifying <sup>239</sup>Pu in food. The results indicate that this method is rapid, accurate, and sensitive, making it ideal for <sup>239</sup>Pu detection.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108856"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927808","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}

引用次数: 0

Impact of processing and roasting on quality parameters of Guatemalan, Peruvian, Rwandan, and Javanese specialty coffees 加工和烘焙对危地马拉、秘鲁、卢旺达和爪哇特色咖啡质量参数的影响

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2026-01-16 DOI: 10.1016/j.jfca.2026.108912

Matúš Várady , Jan Tauchen , Adéla Fraňková , Pavel Klouček , Miriam Vlčáková , Anna Reitznerová , Slavomír Marcinčák , Peter Popelka

{"title":"Impact of processing and roasting on quality parameters of Guatemalan, Peruvian, Rwandan, and Javanese specialty coffees","authors":"Matúš Várady , Jan Tauchen , Adéla Fraňková , Pavel Klouček , Miriam Vlčáková , Anna Reitznerová , Slavomír Marcinčák , Peter Popelka","doi":"10.1016/j.jfca.2026.108912","DOIUrl":"10.1016/j.jfca.2026.108912","url":null,"abstract":"<div><div>We determined the impacts of natural (N), washed (W), honey (H), anaerobic fermentation (AF), and carbonic maceration (CM) processing methods and of roasting level (light and dark) on the colour parameters, antioxidant activity, and the contents of acrylamide (AA), 5-O-caffeoylquinic acid (5-O-CQA), caffeine (CAF), gallic acid (GA), cinnamic acid (CNA), and caffeic acid (CA) in specialty coffees from Guatemala (GUA), Peru (PER), Rwanda (RWA), and Java (JAV). The AA content in dark-roasted coffees (GUA-W, GUA-AF-H, and GUA-AF) decreased with the effects of roasting and processing, with values reaching 53, 39, and 30 µg/kg, respectively. The relationship between AA content and coffee color parameters could not be confirmed due to processing × roasting (P × R) interactions. Further P × R interactions were also found for the content of 5-O-CQA, CAF, GA, CNA and CA in the tested coffees. The colours, antioxidant activity, and the contents of AA, 5-O-CQA, CAF, GA, CNA, and CA were used to discriminate between 11 coffee samples based on processing method, origin, and within farms using principal component analysis (PCA). The PCA distinguished between coffees with high quality parameters that were processed using the W, AF, and CM methods and those processed using the N method and all RWA coffees. All of the specialty coffees examined were good sources of antioxidants and had low AA contents. Producing high-quality coffee requires achieving the optimal level of roasting for each specialty coffee, depending on processing method and origin, even within farms.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108912"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023538","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}

引用次数: 0

Development and validation of an analytical method (UHPLC-MS/MS) for the determination of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in honey. 建立和验证了一种测定蜂蜜中全氟烷基和多氟烷基物质（PFAS）的分析方法（UHPLC-MS/MS）。

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2026-01-21 DOI: 10.1016/j.jfca.2026.108925

Martina Pes , Antonella Rotolo , Giancarla Alberti , Riccardo Magagnato , Leonardo Maria Zapelli , Daniele Merli

{"title":"Development and validation of an analytical method (UHPLC-MS/MS) for the determination of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in honey.","authors":"Martina Pes , Antonella Rotolo , Giancarla Alberti , Riccardo Magagnato , Leonardo Maria Zapelli , Daniele Merli","doi":"10.1016/j.jfca.2026.108925","DOIUrl":"10.1016/j.jfca.2026.108925","url":null,"abstract":"<div><div>Honey, a widely consumed natural product, acts as a bioindicator of environmental contamination because it is produced by bees from nectar collected in polluted flowers. Among contaminants of concern, perfluoroalkyl and polyfluoroalkyl substances (PFAS) are particularly alarming for their persistence, bioaccumulation, and potential adverse health effects. This study presents the validation of a robust analytical UHPLC-MS/MS method designed to detect and quantify 28 PFAS in honey samples. The method demonstrated detection limits of 0,007 – 0,04 ng/mL with precision consistently > 90 % and accuracy ranging from 85 % to 110 %, depending on the specific PFAS and matrix. The analysis of both commercial and non-commercial honey samples revealed the widespread presence of PFAS indicating environmental exposure across diverse sources. Principal Component Analysis (PCA) was used to explore compositional differences between sample types. By providing a validated analytical approach and new data, this work supports improved monitoring of PFAS contamination in honey.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108925"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023618","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}

引用次数: 0

Afyonkarahisar province local dishes: Evaluation with five different nutrient profiling models Afyonkarahisar省地方菜肴：用五种不同的营养分析模型进行评估

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2026-01-20 DOI: 10.1016/j.jfca.2026.108922

Esila BAYAR , Ayşe ÜNLÜ

{"title":"Afyonkarahisar province local dishes: Evaluation with five different nutrient profiling models","authors":"Esila BAYAR , Ayşe ÜNLÜ","doi":"10.1016/j.jfca.2026.108922","DOIUrl":"10.1016/j.jfca.2026.108922","url":null,"abstract":"<div><div>Nutrient profiling (NP) is a method used to assess foods based on their nutrient composition, which holds relevance for public health interventions. Local cuisines are often evaluated for their gastronomic value, but their health impacts warrant equal attention. This study aimed to evaluate 52 local dishes from Afyonkarahisar in Türkiye using five different NP models. The selected NP models were NRF9.3, SAIN-LIM, and Choices Programme, alongside the FSA-Ofcom WXY and Nutri-Score. Scores generated from NP models were ranked for comparative assessment. Salads had the highest score of NRF9.3, while soups had the lowest. According to FSA-Ofcom WXY, 63.46 % of dishes were healthier. SAIN-LIM model classified 17.31 % of dishes as Class 1 (recommended), and 38.46 % as Class 4 (be limited). Nutri-Score results showed 26.92 % of dishes in Class A (best quality), with none in Class E (lowest quality). Meanwhile, 3.85 % of dishes complied with Choices Programme criteria. Strong, positive, and statistically significant correlation was observed between specific ranked scores (p < 0,05). The findings highlight the importance of evaluating local dishes based on portion size and content of saturated fat, sodium, and added sugars. It is recommended to use NP models as objective tools to guide nutrition policies and support healthier food choices.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108922"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023623","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}

引用次数: 0

Revealing the nutritional potential of nine vegetable melon (Cucumis melo L.) landraces of Puglia region (Southern Italy) 意大利南部普利亚地区9种蔬菜甜瓜（Cucumis melo L.）地方品种的营养潜力

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2026-01-09 DOI: 10.1016/j.jfca.2026.108882

Annalisa Somma , Adriano Didonna , Concetta Eliana Gattullo , Miriana Durante , Maria Gonnella , Carmela Di Spiridione , Angelo Signore , Onofrio Davide Palmitessa , Roberto Terzano , Pietro Santamaria

{"title":"Revealing the nutritional potential of nine vegetable melon (Cucumis melo L.) landraces of Puglia region (Southern Italy)","authors":"Annalisa Somma , Adriano Didonna , Concetta Eliana Gattullo , Miriana Durante , Maria Gonnella , Carmela Di Spiridione , Angelo Signore , Onofrio Davide Palmitessa , Roberto Terzano , Pietro Santamaria","doi":"10.1016/j.jfca.2026.108882","DOIUrl":"10.1016/j.jfca.2026.108882","url":null,"abstract":"<div><div>The diversification of vegetable food is essential for enhancing nutrient sources and dietary health. Vegetable melon (<em>Cucumis melo</em> L.) landraces from Puglia region (Southern Italy), represent a valuable yet underutilized resource. Recently, they have gained commercial interest and consumer appreciation at the international level. This study defined the nutritional composition of nine melon landraces (‘Barattiere tondo’, ‘Carosello leccese’, ‘Carosello striato tondo di Massafra’, ‘Carosello di Polignano’, ‘Carosello scopatizzo’, ‘<em>Cucumbr</em> di Martina Franca’, ‘Spuredda bianca’, ‘Spuredda fasciata’, ‘Spuredda nera’) — hypothetically classified into “Barattiere,” “Carosello,” and “Spuredda” groups — by analyzing their phytochemical (polyphenols, isoprenoids, soluble sugars) and mineral elements profiles. While “Barattiere” showed a poorer nutritional profile compared to the others, “Spuredda” landraces, particularly ‘Spuredda bianca’, exhibited the highest levels of pro-vitamin A (8.5 μg·g<sup>−1</sup> dry weight, DW), polyphenols (125.2 mg·kg<sup>−1</sup> DW), and iron (28.2 mg·kg<sup>−1</sup> DW). Moreover, the presence of methyl gallate (up to 117.0 mg·kg<sup>−1</sup> DW) — uncommon and sought-after polyphenol in edible fruits, yet predominant in these local vegetable melons — reinforces their relevance for human nutrition. Compared to cucumber and honeydew melon, these landraces demonstrated intermediate nutritional properties. The findings revealed the valuable contribution of these unripe melons to a sustainable and diversified diet, and potentially to breeding programs.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108882"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978067","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}

引用次数: 0

Non-destructive detection of internal mold in Torreya grandis seeds using NIR spectroscopy and deep learning with integrated preprocessing and variable selection 综合预处理和变量选择的近红外光谱和深度学习技术在香榧种子内部霉菌无损检测中的应用

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2026-01-12 DOI: 10.1016/j.jfca.2026.108899

Yuan Du , Haihang Wang , Binyan Hou , Jiajun Zan , Jiasheng Wu , Tong Sun , Lili Song

{"title":"Non-destructive detection of internal mold in Torreya grandis seeds using NIR spectroscopy and deep learning with integrated preprocessing and variable selection","authors":"Yuan Du , Haihang Wang , Binyan Hou , Jiajun Zan , Jiasheng Wu , Tong Sun , Lili Song","doi":"10.1016/j.jfca.2026.108899","DOIUrl":"10.1016/j.jfca.2026.108899","url":null,"abstract":"<div><div><em>Torreya grandis</em> seeds are valued for their nutritional and culinary benefits, but internal mold can affect seed quality without being visible. This study explores the use of near-infrared spectroscopy for rapid, non-destructive detection of internal mold in these seeds. By analyzing spectral differences between healthy and moldy seeds, various preprocessing techniques were applied to optimize the data. Key wavelengths were selected using both individual and hybrid variable selection methods. Linear discriminant analysis (LDA), convolutional neural networks (CNN), and multilayer perceptron (MLP) models were developed for classification. Shapley additive explanations (SHAP) visualized the impact of key wavelengths, while t-distributed Stochastic Neighbor Embedding (t-SNE) was used for model visualization. The results show that CNN and MLP models outperform the traditional LDA model. The Savitzky-Golay (SG)-Baseline-Single Nucleotide Variant (SNV) preprocessing method is the most effective for CNN and MLP models. Competitive Adaptive Reweighted Sampling (CARS)-Iterative Channel Optimization (ICO) and Univariate Variable Elimination (UVE)-CARS-ICO were optimal for variable selection in CNN and MLP, respectively. The accuracy, sensitivity, and specificity of the CARS-ICO-CNN and UVE-CARS-ICO-MLP models were 97.22 %, 96.15 %, 97.83 % and 97.22 %, 92.31 %, 100 %, respectively. These findings highlight the potential of NIR spectroscopy and deep learning models for quality control in seed processing.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108899"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978078","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}

引用次数: 0

RGB-D food nutrient estimation supported by FLAVA contrastive learning 基于FLAVA对比学习的RGB-D食物营养估算

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2025-12-23 DOI: 10.1016/j.jfca.2025.108821

Yihang Feng , Yi Wang , Xinhao Wang , Bo Zhao , Jinbo Bi , Song Han , Zhenlei Xiao , Yangchao Luo

{"title":"RGB-D food nutrient estimation supported by FLAVA contrastive learning","authors":"Yihang Feng , Yi Wang , Xinhao Wang , Bo Zhao , Jinbo Bi , Song Han , Zhenlei Xiao , Yangchao Luo","doi":"10.1016/j.jfca.2025.108821","DOIUrl":"10.1016/j.jfca.2025.108821","url":null,"abstract":"<div><div>Accurate estimation of absolute nutrient values in food remains a significant challenge for automated dietary assessment. We propose a novel multi-modal deep learning framework that integrates RGB-D imaging with vision-language contrastive learning for food nutrient estimation. Our dual-pathway architecture employs Swin Transformer V2 Tiny backbones to process RGB and depth information separately, followed by hierarchical feature mixing across multiple scales to capture both fine-grained details and global food representations. We integrate the FLAVA (Foundational Language And Vision Alignment) model to enable vision-text contrastive learning, aligning visual features with ingredient descriptions to enhance semantic understanding of food composition. Additionally, we implement vision-vision contrastive learning to ensure consistency between different visual representations. Evaluated on the Nutrition5k dataset containing 3490 RGB-D images with precise nutritional measurements, our approach achieves state-of-the-art performance with a mean Percentage Mean Absolute Error (PMAE) of 14.43 % across all nutritional components, representing significant improvement over the previous best of 15.9 %. FLAVA integration guides model training with ingredient information but is not employed during testing, significantly reducing computational demands. With only 0.44-second inference time, our approach is suitable for real-time applications including mobile deployment. While achieving state-of-the-art results on Nutrition5k, the model's performance on diverse global cuisines requires further validation.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108821"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145882304","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}

引用次数: 0

Balancing nutrients and mercury: Nutritional composition and total mercury content in fish consumed in the Bolivian Amazon (Beni River) 平衡营养素和汞：玻利维亚亚马逊河（贝尼河）食用鱼类的营养成分和总汞含量

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2025-12-26 DOI: 10.1016/j.jfca.2025.108840

Erick Loayza , J. Mauricio Peñarrieta , Darío Achá , Guido Miranda-Chumacero

{"title":"Balancing nutrients and mercury: Nutritional composition and total mercury content in fish consumed in the Bolivian Amazon (Beni River)","authors":"Erick Loayza , J. Mauricio Peñarrieta , Darío Achá , Guido Miranda-Chumacero","doi":"10.1016/j.jfca.2025.108840","DOIUrl":"10.1016/j.jfca.2025.108840","url":null,"abstract":"<div><div>Freshwater fish are important sources of essential nutrients for Amazonian communities. However, mercury (Hg) contamination poses significant health risks. Since the nutritional value of fish and the risk associated with Hg-contamination are rarely evaluated simultaneously, this study aimed to assess the proximate composition, minerals content, fatty acid profiles, and total Hg concentrations of ten fish species from the Beni River, Bolivian Amazon. Nutritional quality was assessed using the thrombogenicity index (IT), hypocholesterolemic/hypercholesterolemic ratio (HH), and omega-6/omega-3 ratio. Results revealed contrasting lipid profiles and Hg contamination above international safety thresholds in certain species. Calophysus macropterus had the highest crude fat (21.8 ± 8.0 % dry matter), unfavorable lipid profile (IT = 0.1, HH = 1.0) and high Hg concentrations (1.9 ± 1.0 ppm wet weight). Piarachtus brachypomus showed high protein (23.9 ± 8.7 % dry matter), phosphorus (24.4 g kg-1), and together with Arapaima gigas beneficial fatty acid profiles, due to elevated essential polyunsaturated fatty acids (EPA and DHA), with low Hg content (< 0.5 ppm wet weight). These patterns were linked to trophic guilds and highlight the dual role of Amazonian fish as nutritional resources and potential mercury vectors, emphasizing the need for balanced consumption guidelines and risk mitigation strategies.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108840"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145882307","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}

引用次数: 0

HPLC-PDA method for simultaneous quantification of 37 phenolic compounds: Method validation and analysis of 19 plant samples HPLC-PDA同时定量37种酚类化合物的方法：19种植物样品的方法验证与分析

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2026-01-03 DOI: 10.1016/j.jfca.2026.108867

Zhihao Yang , Tianle Shen , Jinhu Tian , Yanbin Wang , Xingqian Ye , Jianchang Jin , Dan Wu

引用次数: 0

Multi-element characteristics of drinking water and food crops in Keshan disease areas, Shaanxi Province, China 陕西省克山病区饮用水和粮食作物多元素特征

IF 4.6 2区农林科学

Journal of Food Composition and Analysis Pub Date : 2026-02-01 Epub Date: 2025-12-31 DOI: 10.1016/j.jfca.2025.108847

Yingjie Luo , Yangchun Han , Litao Hao , Shixi Zhang , Kunli Luo , Jiulong Cheng

{"title":"Multi-element characteristics of drinking water and food crops in Keshan disease areas, Shaanxi Province, China","authors":"Yingjie Luo , Yangchun Han , Litao Hao , Shixi Zhang , Kunli Luo , Jiulong Cheng","doi":"10.1016/j.jfca.2025.108847","DOIUrl":"10.1016/j.jfca.2025.108847","url":null,"abstract":"<div><div>To investigate the characteristics and influencing factors of elemental content, especially other than selenium (Se), multi-element concentrations in drinking water, food crops, soils, and rocks from typical Keshan disease (KD) areas in China (Xianyang City and Tongchuan City in Shaanxi Province) were analyzed. The results revealed that levels of Mn, Mo, Ti, Se, and Fe in drinking water and food crops in the KD area were lower than those in the non-KD area. The mean daily Se intake from drinking water, corn, potato, and wheat was 1.32 μg/day, accounting for only 2.20 % of the recommended daily intake of 60 μg/day established by the Chinese Nutrition Society. Although deterministic health risks were low, probabilistic Monte Carlo simulation indicated non-negligible cumulative risks from As and Cr. Significant positive correlations were observed between the content of Se, Ba, Fe, and Ga in rocks and water (p ≤ 0.05), as well as between Se, Cd, In, and U in soils and food crops (p ≤ 0.05). Deficiencies of Se and other elements in drinking water and food crops in the KD area were closely related to the element contents in rocks and soils, along with soil pH.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108847"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927812","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}

引用次数: 0