Journal of Food Composition and Analysis最新文献_第5页

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 应用NiCo-LDH对草莓汁样品中常用农药进行气相色谱测定前的提取和预富集

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-02-12 DOI: 10.1016/j.jfca.2026.108994

Mir Ali Farajzadeh , Zahra Asghari , Sakha Pezhhanfar , Mohammad Reza Afshar Mogaddadam

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 µL-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 (r² ≥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⁻¹) and detection (0.5–9.3 µg L^˗1). 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.

采用分散微固相萃取和分散液液微萃取相结合的方法提取草莓汁样品中的农药残留。采用zif -67衍生的镍钴层状双氢氧化物作为吸附剂。该方法包括在含有溶解氯化钠的溶液中通过涡流将分析物吸附到吸附剂表面，然后离心分离吸附剂颗粒。然后使用ml体积的甲醇从吸附剂中解吸农药。在甲醇提取物中加入1µl体积的1,2-二溴乙烷，将得到的混合物快速注入去离子水中。将混浊溶液进行离心，将沉淀的萃取剂等分液注入装有火焰电离检测器的气相色谱仪中。该方法线性良好（r2≥0.990），富集系数高（160 ~ 455），提取回收率为32 % ~ 91 %，定量限为1.6 ~ 31 µg L−1，检测限为0.5 ~ 9.3 µg L精品。这项研究的新颖之处在于首次利用mof衍生的NiCo-LDH进行农药测定，与传统吸附剂相比，它具有更高的吸附能力、选择性和稳定性。该方法在复杂的草莓汁样品中表现出最小的基质效应，为农药残留分析提供了一种简单、高效、经济的选择。

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引用次数: 0

Explainable AI-driven hyperspectral imaging for non-destructive geographical discrimination of small-fruited sea buckthorn: Metabolic correlations and feature optimization 用于小果沙棘无损地理识别的可解释ai驱动高光谱成像：代谢相关性和特征优化

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-02-10 DOI: 10.1016/j.jfca.2026.108985

Jianghong Ran, Guolong Dong, Weizhen Xiao, Fan Yi, Li Li, Yue Wu

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.

小果沙棘在不同的地理产地表现出很大的成分差异，需要精确的分类方法。本研究建立了一个可重复的高光谱成像（HSI）驱动的管道，在该管道中，深度学习实现了非破坏性地理分类，非靶向代谢组学与SHapley加性解释（SHAP）相结合，阐明了分类的代谢基础和关键光谱特征。经过预处理的HSI光谱训练的卷积神经网络（CNN）对来自五个地理来源的样本进行了鲁棒性识别，验证精度为93.3 %，优于基准模型。该数据集包括来自五个地理产地的90个沙棘果实样本，每个果实有一个ROI谱，从700 × 700像素区域获得。SHAP应用于量化波长贡献并识别全局重要特征，在不损失预测性能的情况下，使波长减少45.9 %。同时，在正离子和负离子模式下使用UPLC-QTOF-MS进行非靶向代谢组学分析，鉴定出与起源相关的差异代谢物。shap选择波长与代谢物丰度的相关分析建立了特征波长与主要代谢物类别的光谱代谢关联，为观测到的沙棘高光谱特征和地理识别提供了机制支持。这种综合策略支持沙棘的快速、非破坏性认证和可追溯性。

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引用次数: 0

Intelligent identification of geographical origin of Xihu Longjing tea using dynamic time-resolved colorimetric sensor array fingerprint combined with machine learning 动态时间分辨比色传感器阵列指纹结合机器学习智能识别西湖龙井茶产地

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-02-11 DOI: 10.1016/j.jfca.2026.108991

Qing-Qing Luo, Xing-Zi Ding, Zheng-Yun He, Xiao-Long Du, Hui-Wen Gu, Xiao-Li Yin

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.

茶叶的产地对其风味和品质有很大的影响。本文提出了一种基于动态时间分辨比色传感器阵列（CSA）与机器学习相结合的智能西湖龙井茶产地识别方法。采用十六指示剂CSA法，建立了XHLJ与非XHLJ龙井茶中挥发性有机化合物（VOCs）相互作用的动态时间分辨指纹图谱。固有的香气化学变化塑造了阵列独特的传感器响应模式。采用偏最小二乘判别分析（PLS-DA）、线性判别分析（LDA）、支持向量机（SVM）和卷积神经网络（CNN） 4种机器学习方法对不同茶叶样本的动态时间分辨指纹数据进行了分析。基于CNN的方法测试集准确率达到95.60 %，对XHLJ茶和其他龙井茶的鉴别具有较高的识别率和稳定性。将时间相关的CSA响应与深度学习相结合，可以智能识别由风土驱动的细微香气差异。对于XHLJ生产区内的子区域识别，SVM的测试集准确率达到95.65 %。本工作提供了一种比传统方法更快捷、更方便的XHLJ茶地理产地鉴定方法，为茶叶品质评价提供了一种经济高效的方法。

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引用次数: 0

Advances in the study of bitter compounds in alcoholic beverages: A review and implications for the production of Chinese Huangjiu 酒精饮料中苦味物质的研究进展：综述及其对中国黄酒生产的启示

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1016/j.jfca.2026.108961

Qiang Hu , Zhuoyu Huang , Shuangqi Cheng , Leping Quan , Lan Wang , Guangfa Xie , Qi Peng

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.

苦味是影响黄酒消费者接受度和产品质量的重要感官属性。虽然适度的苦味有助于其复杂性，但过多的苦味会破坏风味的和谐并阻碍工业机械化。本文综述了以黄酒为重点的酒精饮料中苦味物质的来源、鉴定和控制。本文综述了感官导向分离、质谱和味觉导向分离的最新进展，概述了已成功应用于葡萄酒、清酒和啤酒的方法，并讨论了它们对黄酒的影响。现有证据表明，苦肽可能比游离氨基酸对黄酒苦味的贡献更大，尽管系统的重建/遗漏试验仍然很少。值得注意的是，从大米和小麦蛋白中提取的疏水肽可能是造成残留苦味的原因，这与大米发酵和有限的黄酒味觉识别有相似之处。对除臭策略的关键分析-包括吸附，掩蔽和酶的方法-也被提出。在适用的情况下，工程建议是作为指示性试验范围提出的，而不是普遍验证的操作条件。这对提高黄酒感官品质，推进黄酒现代化具有重要的指导意义。

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引用次数: 0

Analysis of toxic and radiotoxic heavy metals in some cereal grains consumed in Türkiye and assessment of potential health risk 日本食用谷物中有毒和放射性有毒重金属的分析及潜在健康风险评估

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1016/j.jfca.2026.108958

Şeref Turhan , Ergin Murat Altuner , Aslı Kurnaz , Kenan Akyol , Aybaba Hançerlioğulları , Aydan Altıkulaç

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_Eff), 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.

本研究利用能量色散x射线荧光光谱仪分析了我国消费的40种商品谷物样品中有毒（Cr、Co、Cu等）和放射性有毒（U、Th）重金属（HMs）的浓度。采用危害指数（HI）、年有效剂量（EEff）和超额终身癌症风险（LCR）模型对摄入谷物样品引起的健康风险进行了评估。样品中HMs的平均浓度（mg/kg干重）分别为2.7 （Cr）、6.4 （Co）、7.9 （Cu）、49.8 （Fe）、49.4 （Mn）、7.6 （Ni）、40.4 （Zn）、1.0 (U)和1.4 （Th）。小麦和玉米的指数为HI >； 1，表明消费者可能感到担忧。年总有效剂量超过全球平均水平，主要是由于谷物样品中的钍。调查结果强调了监测和消费者指导的必要性。

引用次数: 0

Elemental composition and health risk assessment of heavy metals in medicinal plant Origanum elongatum from Northern Morocco 摩洛哥北部药用植物长叶牛头草重金属元素组成及健康风险评价

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 10.1016/j.jfca.2026.108945

Iliasse Aarab , Hamid Bounouira , Hamid Amsil , Youssef Maazouzi , Abedessamad Didi , Abdelwahab Badague , El mahjoub Chakir

This study evaluates the elemental composition of Origanum elongatum leaves and the potential health risks associated with their consumption. This endemic Moroccan medicinal plant is widely recognized for its therapeutic benefits. Leaf samples were collected from three locations in the Senhaja Srair region (northern Morocco), and thirty-two elements were quantified using k₀-Instrumental Neutron Activation Analysis (k₀-INAA) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS). High levels of essential macroelements were found, including potassium (22,953 ± 608 mg·kg⁻¹), calcium (14,539 ± 612 mg·kg⁻¹), magnesium, phosphorus, and chloride. Trace amounts of rare earth elements and toxic metals were also detected, such as cadmium (0.041 ± 0.002 mg·kg⁻¹) and lead (1.005 ± 0.02 mg·kg⁻¹). Health risk assessment was conducted by calculating Estimated Daily Intake (EDI), Target Hazard Quotient (THQ), and Hazard Index (HI). Iron, manganese, zinc, and copper showed the highest EDI values. All THQ values and the total HI were below 1, indicating minimal non-carcinogenic risk. Overall, O. elongatum appears to be a rich source of essential minerals with low levels of toxic elements, supporting its safe use in traditional and functional food applications.

本研究评估了长叶折一枝叶的元素组成以及与食用折一枝叶相关的潜在健康风险。这种摩洛哥特有的药用植物因其治疗益处而被广泛认可。从Senhaja Srair地区（摩洛哥北部）的三个地点采集了叶子样本，并使用k 0 -仪器中子活化分析（k 0 -INAA）和电感耦合等离子体质谱（ICP-MS）对32种元素进行了定量分析。大量的必需元素被发现，包括钾（22953±608 mg·kg⁻¹）、钙（14539±612 mg·kg⁻¹）、镁、磷和氯。痕量的稀土元素和有毒金属也被检测到，如镉（0.041±0.002 mg·kg⁻¹）和铅（1.005±0.02 mg·kg⁻¹）。通过估算每日摄入量（EDI）、目标危害商（THQ）和危害指数（HI）进行健康风险评估。铁、锰、锌和铜的EDI值最高。所有THQ值和总HI值均低于1，表明非致癌风险极小。总体而言，长叶莲似乎是必需矿物质的丰富来源，有毒元素含量低，支持其在传统和功能性食品中的安全使用。

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引用次数: 0

A convenient and practical colorimetric chemosensor for sulfide monitoring in pure water: Applications to environmental water, smartphone-based platform, colorimetric food imaging and spoilage 一种方便实用的用于纯水硫化物监测的比色化学传感器：应用于环境水，基于智能手机的平台，比色食品成像和腐败

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-01-20 DOI: 10.1016/j.jfca.2026.108920

Chanwoo Song , Jae Jun Lee , Sooseong Lee , Yun-Seo Lee, Otgontsetseg Batsaikhan, Cheal Kim

Sulfide is an environmentally harmful and toxic substance. Thus, its sensitive detection is important for water-quality monitoring and food safety. In this work, we synthesized a convenient and practical colorimetric chemosensor DNP (1,3-dimethyl-5-(7-nitrobenzo[c][1,2,5]oxadiazol-4-yl)pyrimidine-2,4,6(1H,3H,5H)-trione) for sensing S^2- in pure water. DNP selectively detected S^2- among varied analytes through color change from red to colorless. The probe DNP showed a low detection limit (2.8 μM) for S^2- in a wide linear range of 0–150 μM, which was significantly below the WHO guideline (14.8 μM). The detecting process of S^2- by DNP was proposed to be a sulfide-triggered reduction of the NBD nitro group, supported by ¹H NMR titration, calculations, and ESI-mass. DNP could certainly quantify S^2- in environmental samples like river water and seawater with recoveries of 98.33 % - 103.49 %. Also, test-strip and smartphone applications were conveniently applied for S^2- sensing. DNP demonstrated the ability for imaging sulfide in mushroom and onion epidermal cells. In particular, DNP-coated strips could be used as a convenient sulfide indicator of foods such as pork, chicken, and garlic. All these results highlighted DNP as a promising and versatile chemosensor for sulfide detection in food and real-field systems.

硫化物是一种对环境有害的有毒物质。因此，它的灵敏检测对水质监测和食品安全具有重要意义。在本工作中，我们合成了一种方便实用的比色化学传感器DNP（1,3-二甲基-5-（7-硝基苯[c][1,2,5]恶二唑-4-基）嘧啶-2,4,6(1H,3H,5H)-三酮），用于检测纯水中的S2-。DNP通过从红色到无色的颜色变化，选择性地检测不同分析物中的S2-。探针DNP在0 ~ 150 μM的宽线性范围内对S2-的检出限较低（2.8 μM），显著低于WHO标准（14.8 μM）。DNP检测S2-的过程被认为是硫化物触发的NBD硝基还原，由1H NMR滴定、计算和ESI-mass支持。DNP可以定量测定河水、海水等环境样品中的S2-，回收率为98.33 % ~ 103.49 %。此外，测试条和智能手机应用程序也方便地应用于S2传感。DNP对蘑菇和洋葱表皮细胞中的硫化物具有显像能力。特别是，dnp涂层条可以作为食品，如猪肉，鸡肉和大蒜的一个方便的硫化物指示器。所有这些结果都突出了DNP作为一种有前途的多功能化学传感器，可用于食品和现场系统中的硫化物检测。

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引用次数: 0

Mycotoxin exposure assessment from maize flour-based porridge consumed by infants and young children in South Kivu, Democratic Republic of the Congo 刚果民主共和国南基伍省婴幼儿食用玉米粉粥所产生的霉菌毒素暴露评估

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-01-28 DOI: 10.1016/j.jfca.2026.108949

Christus C. Miderho , Lucy G. Njue , George O. Abong , Kanigula Mubagwa , Michael Sulyok

Infants and young children in the Democratic Republic of the Congo (DRC) may be highly exposed to dietary mycotoxins due to reliance on maize flour-based complementary foods. This cross-sectional study assessed exposure across urban and rural health zones in South Kivu, DRC. A total of 428 maize flour samples were pooled into 48 composite samples and analyzed using validated LC-MS/MS methods. Dietary exposure was assessed using Estimated Daily Intake (EDI), Margin of Exposure (MoE), Monte Carlo simulations, and liver cancer risk modeling. Children under five were exposed to levels of aflatoxin B₁ (AFB₁; EDIs > 200 ng/kg bw/day) exceeding safety limits. MoE values (1.1–23.1) were far below the recommended threshold of 10,000, indicating high carcinogenic risk. The children were also exposed to fumonisins (0.03–0.74 µg/kg bw/day), deoxynivalenol (0–0.44 µg/kg bw/day), and zearalenone (0–0.50 µg/kg bw/day). Cumulative risk was highest in white (hazard index, HI = 297.8) and pale red maize flours (HI = 275.4). White maize flour contributed the highest AFB1-related liver cancer burden (3.05 cases per 100,000 children annually). These results highlight the need for food safety surveillance and for targeted myotoxin mitigation programs.

刚果民主共和国的婴幼儿由于依赖以玉米粉为基础的辅食，可能高度暴露于膳食真菌毒素。本横断面研究评估了刚果民主共和国南基伍省城市和农村卫生区的暴露情况。将428份玉米粉样品混合成48份复合样品，采用经验证的LC-MS/MS方法进行分析。饮食暴露评估采用每日摄入量（EDI）、暴露边际（MoE）、蒙特卡罗模拟和肝癌风险模型。5岁以下儿童暴露于黄曲霉毒素B1 （AFB1; EDIs > 200 ng/kg bw/day）水平超过安全限值。MoE值（1.1-23.1）远低于建议阈值10000，表明高致癌风险。这些儿童还暴露于伏马菌素（0.03-0.74 µg/kg bw/day）、脱氧雪腐镰刀菌醇（0-0.44 µg/kg bw/day）和玉米赤霉烯酮（0-0.50 µg/kg bw/day）。累积风险最高的是白色玉米粉（HI = 297.8）和浅红色玉米粉（HI = 275.4）。白玉米粉与afb1相关的肝癌负担最高（每年每10万名儿童中有3.05例）。这些结果强调了食品安全监测和有针对性的肌毒素缓解计划的必要性。

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引用次数: 0

Heavy metal contamination and health risk assessment of tea in Guangzhou, China 广州地区茶叶重金属污染及健康风险评价

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-01-23 DOI: 10.1016/j.jfca.2026.108911

Jiawei Su , Zhenke Yi , Yingxuan Zeng , He Wang , Ronghua Mo , Yuting Liang , Qiting Qiu , Kailin Xu , Kang Wang , Yingxia Wu , Xinyan Zhu , Tuerxun Subi , Zhifeng Zhou , Jufeng Ye

This study evaluated heavy metal contamination and health risks in tea consumed in Guangzhou. Fifty tea samples (green, black, oolong, and dark) from three districts were digested using an optimized microwave protocol with diluted nitric acid (∼42 % HNO₃), achieving complete matrix decomposition, stable recoveries (95–110 %), and reduced acid use. ICP-MS quantified As, Cd, Cr, Cu, and Pb, while Hg was measured using an automatic mercury analyzer. Metals were detected in 96–100 % of samples, with mean concentrations (mg/kg) following Cu > Cr > Pb > As > Cd > Hg. Dark tea accumulated the highest levels, and district differences reflected environmental contamination, with no significant tea variety × district interaction. Health risk assessment showed non-carcinogenic risks (HI) within acceptable limits for all groups, whereas total carcinogenic risk (TCR) exceeded 1 × 10⁻⁴ in several tea types, particularly among females (Green: 1.34 ×10⁻⁴; Black: 1.25 ×10⁻⁴; Dark: 2.10 ×10⁻⁴) compared with males (Green: 1.16 ×10⁻⁴; Black: 1.08 ×10⁻⁴; Dark: 1.82 ×10⁻⁴), highlighting potential long-term carcinogenic concerns. Arsenic was the main contributor. These findings provide region-specific evidence of Guangzhou tea contamination and demonstrate that the optimized microwave digestion method allows accurate, environmentally considerate heavy metal analysis.

本研究评价了广州地区茶叶中重金属污染及健康风险。采用优化的微波消解方案，用稀释硝酸（~ 42 % HNO₃）消化来自三个地区的50份茶叶样品（绿茶、红茶、乌龙茶和暗茶），实现了完全的基质分解，稳定的回收率（95-110 %），减少了酸的使用。ICP-MS定量As、Cd、Cr、Cu和Pb， Hg采用自动汞分析仪测定。96-100 %的样品中检测到金属，平均浓度（mg/kg）依次为Cu >； Cr >； Pb >； As >； Cd >； Hg。黑茶累积含量最高，地区差异反映了环境污染，茶品种与 地区间不存在显著的交互作用。健康风险评估显示，所有人群的非致癌风险（HI）都在可接受的范围内，而几种茶的总致癌风险（TCR）超过1 × 10⁻⁴，特别是女性（绿色：1.34 ×10⁻⁴；黑色：1.25 ×10⁻⁴；深色：2.10 ×10⁻⁴）与男性（绿色：1.16 ×10⁻⁴；黑色：1.08 ×10⁻⁴；深色：1.82 ×10⁻⁴）相比，突出了潜在的长期致癌问题。砷是主要的贡献者。这些发现提供了广州茶叶污染的区域特异性证据，并表明优化的微波消解方法可以准确，环保地分析重金属。

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引用次数: 0

Multimatrix evaluation of heavy metal transfer via Sorghum bicolor L. Moench: Soil-fodder-milk contamination and risk assessment 高粱重金属迁移的多矩阵评价：土壤-饲料-牛奶污染及风险评估

IF 4.6 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis

Pub Date : 2026-03-01 Epub Date: 2026-02-09 DOI: 10.1016/j.jfca.2026.108976

Ilker Ugulu , Zafar Iqbal Khan , Natasha Ameer , Asma Ashfaq , Kafeel Ahmad , Saif Ullah , Ijaz Rasool Noorka , Aima Iram Batool , Naima Huma Naveed

Heavy metals are among the most persistent and harmful environmental pollutants due to their indegradability, bioaccumulation capabilities, and biogrowth in food chains. This study evaluates the transfer and accumulation of heavy metals across the soil-fodder-milk continuum in semi-urban agricultural systems. This study also aims to provide a comprehensive risk assessment framework for addressing roadside ecological risks, which are common in developing countries. The samples were digested using a microwave-assisted acid digestion and analysed using Atomic Absorption Spectrometry (AAS). All metals in the milk samples were below the accepted values of Zn (1.99–3.16 mg/L), Fe (0.16–0.32 mg/L), Mn (0.01–0.30 mg/L), Cu (0.0001–0.0087 mg/L), Pb (0.001–0.0098 mg/L), Cd (0.0006–0.0092 mg/L), Co (0.0002–0.0080 mg/L), and Mo (0.0001–0.0040 mg/L). Soil quality assessment using the Pollution Load Index (PLI) confirmed minimal contamination (PLI<1), though elevated Zn and Pb near roadways indicated traffic-related contributions. Fodder crops exhibited limited metal uptake, with Bioconcentration Factors (BCF) below 1 for all elements. Daily Intake of Metals (DIM) and Health Risk Index (HRI) values for grazing cattle were within safe thresholds (HRI<1). Spatial analysis revealed significant site-specific variations (p < 0.001), particularly near roadsides. The findings offer important reference value for ensuring regional agricultural product quality and safety.

重金属由于其不可降解性、生物积累能力和食物链中的生物生长，是最持久和最有害的环境污染物之一。本研究评估了半城市农业系统中重金属在土壤-饲料-牛奶连续体中的转移和积累。本研究还旨在为解决发展中国家常见的路边生态风险提供一个全面的风险评估框架。样品采用微波辅助酸消化法消化，原子吸收光谱法分析。牛奶样品中的金属元素Zn（1.99 ~ 3.16 mg/L）、Fe（0.16 ~ 0.32 mg/L）、Mn（0.01 ~ 0.30 mg/L）、Cu（0.0001 ~ 0.0087 mg/L）、Pb（0.001 ~ 0.0098 mg/L）、Cd（0.0006 ~ 0.0092 mg/L）、Co（0.0002 ~ 0.0080 mg/L）、Mo（0.0001 ~ 0.0040 mg/L）均低于认可值。使用污染负荷指数（PLI）进行的土壤质量评估证实污染最小（PLI<1），尽管道路附近锌和铅的升高表明与交通有关。饲料作物对金属的吸收有限，所有元素的生物浓度因子（BCF）均低于1。放牧牛的日金属摄入量（DIM）和健康风险指数（HRI）均在安全阈值范围内（HRI<1）。空间分析显示了显著的地点特异性差异（p <； 0.001），特别是在路边附近。研究结果对保障区域农产品质量安全具有重要的参考价值。

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