[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4048":3,"related-4048":95},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":9,"secondary_topics":32,"classification":33,"search_phrases":50,"slug":53,"view_count":54,"doi":55,"paper":56,"created_at":94},4048,"Bioaccessibility and health risk evaluation of heavy metals in commercial fruit juices of Pakistan using an in vitro simulated digestion model","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1975389","In recent years, fruit juice consumption has increased worldwide due to its potential health benefits. However, there is concern regarding heavy metals (HMs) in commercial fruit juices, posing significant health risks to their consumers. The current research was carried out to assess the concentrations of HMs in commercially available packaged fruit juices in Pakistan and evaluate their potential health risks through an in vitro digestion model. Samples of packed commercial fruit juices were collected from local markets of Pakistan. Physicochemical and mineral analyses were performed to understand the basic composition of the fruit juices. All collected samples were digested using standard protocols and examined for selected HMs (Al, As, Cr, Cu, Ni, Cd, Zn, and Pb). In several samples, the levels of Pb, As, Cd, and Al exceeded the WHO safety threshold. Pearson’s correlation showed strong positive as well as negative correlation between metals. Bioaccessibility of selected HMs (0.0–84.44%) was assessed using an in vitro digestion model. The non-carcinogenic risk for HMs was above 1 for certain juice brands. For Pb the cancer risk (CR) was below the safe limit. The Cr and Cd CR values fell between 1.0E-06 and 1.0E-04, which is a permitted range, while for As and Ni, the CR value exceeded the USEPA limit (1.0E-04), indicating potential carcinogenic risk for both populations. These results indicate the need for regular monitoring of commercial fruit juices to ensure the food quality and to protect public health.","近年来，由于果汁具有潜在的健康益处，其全球消费量不断增加。然而，商业果汁中的重金属（HMs）引发了人们的担忧，对其消费者构成了显著的健康风险。本研究旨在评估巴基斯坦市售包装果汁中重金属的浓度，并通过体外消化模型评价其潜在健康风险。研究从巴基斯坦当地市场采集了包装商业果汁样品，进行了理化及矿物质分析以了解果汁的基本组成。所有采集样品均采用标准方案进行消解，并检测了所选重金属（Al、As、Cr、Cu、Ni、Cd、Zn和Pb）。在多个样品中，Pb、As、Cd和Al的含量超过了世界卫生组织（WHO）的安全阈值。Pearson相关性分析显示，各金属之间存在强正相关和负相关。采用体外消化模型评估了所选重金属的生物可及性（0.0–84.44%）。某些果汁品牌中重金属的非致癌风险值大于1。Pb的致癌风险（CR）低于安全限值。Cr和Cd的CR值介于1.0E-06至1.0E-04之间，属于允许范围，而As和Ni的CR值超过了美国环境保护署（USEPA）的限值（1.0E-04），表明对两类人群均存在潜在致癌风险。这些结果表明，需要对商业果汁进行定期监测，以确保食品质量并保护公众健康。",null,"Frontiers in Sustainable Food Systems","2026-10-02T00:00:00Z","论文",10,false,66,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,20,16,13,9,1,"该研究通过体外模拟消化模型评估巴基斯坦市售果汁重金属生物可及性与健康风险，方法新颖、数据详实，对农产品质量安全监测有参考价值，但地域性较强，影响范围有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"食品安全","重金属污染","果汁检测","体外消化模型","健康风险评估",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":49},[39,44],{"code":40,"score":22,"supported":14,"title":41,"abstract":42,"tags":43},"E4",[],[],[27],{"code":45,"score":22,"supported":14,"title":46,"abstract":47,"tags":48},"H2",[],[],[28],"农业相关性需要复核",[51,52],"巴基斯坦 果汁 重金属","体外消化模型 生物可及性","巴基斯坦果汁重金属-4048",0,"10.3389\u002Ffsufs.2026.1975389",{"doi":55,"openalex_id":57,"authors":58,"venue":10,"cited_by_count":54,"oa_url":86,"card":87,"direction":91,"ingested_from":93},"W7215914972",[59,62,64,66,69,72,75,78,80,83],{"name":60,"orcid":61},"Rukhsanda Aziz","https:\u002F\u002Forcid.org\u002F0000-0003-0066-5646",{"name":63,"orcid":9},"Zainab Saeed",{"name":65,"orcid":9},"Nazia bibi",{"name":67,"orcid":68},"Muhammad Asif Zahoor","https:\u002F\u002Forcid.org\u002F0000-0002-0895-7312",{"name":70,"orcid":71},"Hina Rizvi","https:\u002F\u002Forcid.org\u002F0000-0002-7885-2727",{"name":73,"orcid":74},"Ahmed Al‐Harrasi","https:\u002F\u002Forcid.org\u002F0000-0002-0815-5942",{"name":76,"orcid":77},"Aftab Ahmad","https:\u002F\u002Forcid.org\u002F0000-0002-2792-9771",{"name":79,"orcid":9},"Memoona Javed",{"name":81,"orcid":82},"Muhammad Tariq Rafiq","https:\u002F\u002Forcid.org\u002F0009-0006-1767-2091",{"name":84,"orcid":85},"Nayla Munawar","https:\u002F\u002Forcid.org\u002F0000-0001-9448-2845","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1975389\u002Fpdf",{"tldr":88,"method":89,"finding":90,"direction":91,"opportunity":92},"评估巴基斯坦市售果汁重金属含量及体外消化生物可及性与健康风险。","采集市售果汁，体外模拟消化测重金属生物可及性并做健康风险评价。","部分果汁Pb、As、Cd、Al超标，As和Ni致癌风险超USEPA限值。","其他","可结合农业物联网与区块链构建果汁重金属实时监测溯源体系，保障食品安全。","openalex","2026-10-03T23:30:07.751287Z",{"total":96,"page":22,"page_size":96,"items":97},6,[98,133,237,279,342,431],{"id":99,"title":100,"url":101,"summary":102,"summary_zh":9,"content":103,"source_name":104,"source_url":9,"published_at":105,"category":106,"cover_url":9,"hotness":13,"is_selected":14,"score":107,"score_detail":108,"sources":114,"tags":116,"primary_topic":9,"secondary_topics":121,"classification":122,"search_phrases":128,"slug":131,"view_count":54,"doi":9,"paper":9,"created_at":132},5524,"广东农科院质标所牵头地方标准获广东标准化创新发展大比武银奖","https:\u002F\u002Fwww.gdaas.cn\u002Fysdtn\u002Fkyjz\u002Fcontent\u002Fpost_1340862.html","质标所牵头制定的广东省地方标准《粤菜预制菜包装标识通用要求》（DB44\u002FT 2602—2025）获2026广东省标准化创新发展「大比武」银奖。该标准是全国首个粤菜预制菜包装标识省级地方标准，联合26家预制菜代表企事业单位制定，规定包装选材、安全设计与减量化管控，细化标签标识规则并鼓励增设粤菜文化二维码与追溯码。","近日，2026广东省标准化创新发展“大比武”获奖名单正式公布，我院质标所牵头制定的广东省地方标准《粤菜预制菜包装标识通用要求》（DB44\u002FT 2602—2025）获银奖，并在“广东省2026年世界标准日宣传活动”中进行获奖展示。该标准是全国首个粤菜预制菜包装标识省级地方标准，是我院质标所预制菜标准化研究的重要成果，标志我省预制菜标准体系建设迈上新台阶。\n\n本次“大比武”由广东省市场监督管理局主办，旨在深入贯彻《国家标准化发展纲要》及省委、省政府关于发挥标准引领作用促进高质量发展的部署要求，以“标准领航赋能高质量发展”为主题，面向全省有关单位主导制定的国家标准和广东省级地方标准，聚焦智能家电家居、现代农业两大领域开展比拼。经报名征集、初赛评审、专业核验、决赛答辩等环节角逐，每个领域仅设金奖2项、银奖4项、优秀奖6项，竞争激烈、荣誉分量十足。\n\n该标准由我院质标所牵头，联合26家预制菜代表企事业单位、汇集产学研多方力量制定，于2025年1月发布、4月实施。标准立足广府菜、客家菜、潮菜等粤菜产业实际，对预制菜包装选材、安全设计、减量化管控作出系统性规定；同时细化标签标识规则，明确产品需标注“预制菜”或“预制菜肴”，标明主要原料投料量、烹饪食用方法、贮存条件等关键信息，鼓励增设粤菜文化二维码、食品安全追溯码、反对浪费提示等内容，为企业生产规范、市场监督执法提供清晰技术支撑，兼顾食品安全、产业发展与粤菜文化传播，有效带动了粤菜预制菜产业的标准化、规范化发展。","广东省农业科学院 2026-10-19","2026-10-19T00:00:00Z","报道",70,{"impact":109,"substance":18,"depth":110,"authority":111,"freshness":112,"relevant":22,"comment":113},18,15,12,5,"全国首个粤菜预制菜包装标识省级地方标准获省级标准化奖项，属细分行业标准化实质进展，具备产业参考价值。",[115],{"name":104,"url":101},[27,117,118,119,120],"地方标准","预制菜","粤菜","包装标识",[],{"status":123,"locked":14,"version":35,"method":36,"evidence":124},"unclassified",{"candidates":125,"agricultural_evidence":126,"reason":127},[],true,"缺少足够的主题证据",[129,130],"粤菜预制菜 包装标识 地方标准","广东农科院 质标所 预制菜","粤菜预制菜包装标识地方标准-5524","2026-10-22T00:07:04.669455Z",{"id":134,"title":135,"url":136,"summary":137,"summary_zh":138,"content":9,"source_name":139,"source_url":136,"published_at":105,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":140,"score_detail":141,"sources":145,"tags":147,"primary_topic":152,"secondary_topics":158,"classification":164,"search_phrases":209,"slug":212,"view_count":54,"doi":213,"paper":214,"created_at":236},5400,"Artificial intelligence in food safety: a bibliometric and empirical synthesis of emerging technologies and research frontiers","https:\u002F\u002Fdoi.org\u002F10.1108\u002Fbfj-06-2025-0819","Purpose This study aimed to identify recent research trends in the integration of artificial intelligence (AI) with food safety and security through a comprehensive bibliometric analysis. Design\u002Fmethodology\u002Fapproach A total of 2,782 documents published between 2021 and 2025 were retrieved from the Web of Science Core Collection. The dataset was refined by removing duplicates, filtering document types and excluding irrelevant records. VOSviewer was then used to conduct co-authorship, keyword co-occurrence, citation, co-citation and bibliographic coupling analyses. Findings Machine learning and deep learning emerged as core technologies associated with food security, contamination detection and quality prediction. Keyword clustering demonstrated interdisciplinary connections with agriculture, climate change and public health. Citation and co-citation analyses identified three major intellectual foundations: traditional machine learning, computer vision-based deep learning and time-series modeling. China, India and the United States were the most influential contributors in terms of research output and technological development. Bibliographic coupling and source co-citation analyses further indicated increasing convergence between food science and computational science. Originality\u002Fvalue This study provides a comprehensive overview of the intellectual structure, collaborative networks and thematic evolution of AI-driven food safety research. Unlike previous studies focusing on specific technologies or applications, it maps global research patterns and interdisciplinary linkages. The findings provide strategic insights for researchers, policymakers and industry stakeholders. Future studies should prioritize explainable AI integration into regulatory frameworks and the development of larger, more diverse datasets to improve model generalizability across food systems.","目的 本研究旨在通过全面的文献计量分析，识别人工智能（AI）与食品安全及保障融合领域的最新研究趋势。设计与方法 从Web of Science核心合集中检索了2021年至2025年间发表的2，782篇文献。通过去除重复记录、筛选文献类型并排除不相关记录对数据集进行精炼。随后使用VOSviewer进行合著、关键词共现、引文、共被引及文献耦合分析。研究发现 机器学习和深度学习成为与食品安全、污染检测和质量预测相关的核心技术。关键词聚类显示了与农业、气候变化和公共卫生的跨学科联系。引文和共被引分析识别出三大主要知识基础：传统机器学习、基于计算机视觉的深度学习和时间序列建模。中国、印度和美国在研究产出和技术发展方面是最具影响力的贡献者。文献耦合和来源共被引分析进一步表明食品科学与计算科学之间的融合日益加深。原创性\u002F价值 本研究全面概述了AI驱动的食品安全研究的知识结构、合作网络和主题演变。与以往聚焦特定技术或应用的研究不同，本研究绘制了全球研究模式和跨学科联系。研究结果为研究人员、政策制定者和行业利益相关者提供了战略性见解。未来研究应优先关注可解释AI融入监管框架以及开发更大、更多样化的数据集，以提高模型在食品系统中的泛化能力。","British Food Journal",80,{"impact":109,"substance":142,"depth":109,"authority":143,"freshness":17,"relevant":22,"comment":144},22,14,"基于2782篇文献的AI食品安全计量分析，方法规范、结论有参考价值，但属综述性研究，产业落地影响有限。",[146],{"name":139,"url":136},[148,149,150,27,151],"智慧农业","农业人工智能","机器学习","文献计量",{"code":153,"slug":154,"name":155,"path":156,"parent_code":157},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[159],{"code":40,"slug":160,"name":161,"path":162,"parent_code":163},"food-safety","质量安全与溯源","\u002Ftopic\u002Ffood-supply\u002Ffood-safety","E",{"status":165,"locked":14,"version":35,"method":36,"evidence":166},"classified",{"candidates":167,"agricultural_evidence":126},[168,179,184,190,197,204],{"code":153,"score":169,"supported":126,"title":170,"abstract":172,"tags":178},19,[171],"artificial intelligence",[173,150,174,175,176,171,177],"深度学习","计算机视觉","machine learning","deep learning","computer vision",[149,150],{"code":40,"score":110,"supported":126,"title":180,"abstract":182,"tags":183},[181],"food safety",[27,181],[27],{"code":185,"score":110,"supported":126,"title":186,"abstract":188,"tags":189},"I7",[187],"bibliometric",[151,187],[151],{"code":191,"score":96,"supported":126,"title":192,"abstract":193,"tags":196},"H7",[],[194,195],"气候变化","climate change",[],{"code":198,"score":199,"supported":126,"title":200,"abstract":201,"tags":203},"A8",3,[],[202],"food security",[],{"code":205,"score":22,"supported":14,"title":206,"abstract":207,"tags":208},"I1",[],[],[148],[210,211],"AI 食品安全 文献计量","机器学习 食品质量预测","AI食品安全文献计量-5400","10.1108\u002Fbfj-06-2025-0819",{"doi":213,"openalex_id":215,"authors":216,"venue":139,"cited_by_count":54,"oa_url":9,"card":230,"direction":234,"ingested_from":93},"W7222920742",[217,219,221,224,227],{"name":218,"orcid":9},"Harang Lee",{"name":220,"orcid":9},"지은서",{"name":222,"orcid":223},"Yoonbin Kim","https:\u002F\u002Forcid.org\u002F0000-0002-5625-2560",{"name":225,"orcid":226},"Joon-Goo Lee","https:\u002F\u002Forcid.org\u002F0000-0003-3617-5518",{"name":228,"orcid":229},"Woo‐Ju Kim","https:\u002F\u002Forcid.org\u002F0000-0002-6954-1580",{"tldr":231,"method":232,"finding":233,"direction":234,"opportunity":235},"对2021-2025年2782篇文献做文献计量，梳理AI与食品安全交叉研究趋势。","Web of Science文献计量，VOSviewer共被引、关键词共现与耦合","机器学习与深度学习是核心，形成传统ML、计算机视觉、时序建模三大知识基础。","农业人工智能与决策模型","可解释AI嵌入监管框架、构建更大更多样数据集以提升跨食物系统泛化能力。","2026-10-20T23:30:31.567802Z",{"id":238,"title":239,"url":240,"summary":241,"summary_zh":9,"content":9,"source_name":242,"source_url":9,"published_at":243,"category":106,"cover_url":9,"hotness":13,"is_selected":14,"score":244,"score_detail":245,"sources":247,"tags":249,"primary_topic":253,"secondary_topics":254,"classification":255,"search_phrases":274,"slug":277,"view_count":54,"doi":9,"paper":9,"created_at":278},5060,"云南省农科院质标所参与2026年云南省食品安全宣传周主场活动 自主研发快检技术现场演示","https:\u002F\u002Fwww.yn.xinhuanet.com\u002F20261010\u002F59bfd10da16b4a36ad8de9272595ce5e\u002Fc.html","10月9日,云南省食品安全宣传周在昆明启动,云南省农科院质标所受邀参加主场活动,围绕\"从农田到餐桌\"的源头检测提供技术支撑。重点演示薄层色谱法(2分钟快速鉴别肥料中隐性添加的禁限用农药)、自主研发的丙溴磷等金纳米抗体侧流层析核酸试纸条(灵敏度较商品试纸条提升10倍)以及合成诱导圆偏振发光探针和微针贴片技术(10秒内捕捉稳定信号)。","新华网云南频道 2026年10月10日","2026-10-10T00:00:00Z",68,{"impact":19,"substance":18,"depth":110,"authority":111,"freshness":112,"relevant":22,"comment":246},"省级食品安全宣传周活动，含自主研发快检技术现场演示，技术细节具体，具备一定行业参考价值。",[248],{"name":242,"url":240},[250,27,251,252],"云南省农科院","农业科技","快检技术",{"code":40,"slug":160,"name":161,"path":162,"parent_code":163},[],{"status":165,"locked":14,"version":35,"method":36,"evidence":256},{"candidates":257,"agricultural_evidence":126},[258,262,268],{"code":40,"score":111,"supported":126,"title":259,"abstract":260,"tags":261},[27],[27],[27],{"code":263,"score":199,"supported":126,"title":264,"abstract":265,"tags":267},"F3",[],[266],"肥料",[],{"code":269,"score":199,"supported":126,"title":270,"abstract":271,"tags":273},"F4",[],[272],"农药",[],[275,276],"云南农科院 质标所 快检技术","食品安全宣传周 云南","云南农科院质标所快检技术-5060","2026-10-16T00:13:12.742863Z",{"id":280,"title":281,"url":282,"summary":283,"summary_zh":284,"content":9,"source_name":285,"source_url":286,"published_at":287,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":288,"score_detail":289,"sources":293,"tags":295,"primary_topic":299,"secondary_topics":300,"classification":301,"search_phrases":322,"slug":325,"view_count":54,"doi":326,"paper":327,"created_at":341},4919,"การออกแบบและพฒนาระบบควบคมดวยไมโครคอนโทรลเลอรสำหรบเครองปลกถวงอกกงอตโนมต","https:\u002F\u002Fdoi.org\u002F10.65411\u002Frst.2026.271208","The cultivation of high-quality bean sprouts is often hindered by inconsistent environmental control and hazardous chemical contamination. This research develops a closed-loop environmental control system, utilizing an Arduino Mega 2560 microcontroller to actively manage the microclimate within a semi-automatic cultivation machine. The system integrates thermoelectric (Peltier) cooling to effectively dissipate accumulated metabolic heat, combined with a precision humidity control mechanism. Performance was evaluated in triplicate (n = 3) against traditional timer-based irrigation systems. Statistical analysis (one-way ANOVA, p \u003C 0.05) demonstrated that the prototype successfully stabilized water temperature (22–25 °C) and relative humidity (80–90%) throughout the cultivation period. These optimal conditions led to a 31–65% increase in total net yield compared to traditional chemical-free methods. While this yield remains slightly lower than intensive commercial practices that rely on growth-accelerating chemicals, laboratory tests by an ISO\u002FIEC 17025 accredited facility confirmed undetectable levels of formaldehyde and sulfur dioxide. This study provides a novel engineering framework for chemical-free precision agriculture, demonstrating significant potential for enhancing food safety and reducing manual labor in commercial-scale production.","优质豆芽的培育常受环境控制不稳定和有害化学污染的制约。本研究开发了一套闭环环境控制系统，利用Arduino Mega 2560微控制器主动调控半自动培育机内的微气候。该系统集成了热电（珀尔帖）冷却以有效散除积累的代谢热，并结合精密湿度控制机制。性能评估以传统定时灌溉系统为对照，进行三次重复试验（n = 3）。统计分析（单因素方差分析，p \u003C 0.05）表明，该原型在整个培育期内成功将水温稳定在22–25 °C、相对湿度稳定在80–90%。这些最优条件使总净产量较传统无化学方法提高了31–65%。尽管该产量仍略低于依赖促生长化学品的集约化商业实践，但由ISO\u002FIEC 17025认可实验室进行的检测确认，甲醛和二氧化硫均未检出。本研究为无化学精准农业提供了一种新颖的工程框架，展示了在商业规模生产中提升食品安全和减少人工劳动的巨大潜力。","Recent Science and Technology","https:\u002F\u002Fli01.tci-thaijo.org\u002Findex.php\u002Frmutsvrj\u002Farticle\u002Fview\u002F271208","2026-10-12T00:00:00Z",67,{"impact":111,"substance":290,"depth":291,"authority":21,"freshness":17,"relevant":22,"comment":292},21,17,"论文提出基于Arduino的闭环环境控制系统，实现豆芽无化学精准栽培并显著增产，方法新颖、数据可靠，但属细分领域技术进展，公共影响有限。",[294],{"name":285,"url":286},[148,27,296,297,298],"环境调控","无土栽培","豆芽生产",{"code":40,"slug":160,"name":161,"path":162,"parent_code":163},[],{"status":165,"locked":14,"version":35,"method":36,"evidence":302},{"candidates":303,"agricultural_evidence":126},[304,309,315],{"code":40,"score":305,"supported":126,"title":306,"abstract":307,"tags":308},7,[],[27,181],[27],{"code":205,"score":305,"supported":126,"title":310,"abstract":311,"tags":314},[],[312,313],"精准农业","precision agriculture",[148],{"code":316,"score":96,"supported":126,"title":317,"abstract":318,"tags":321},"H3",[],[319,320],"灌溉","irrigation",[],[323,324],"Arduino Mega 2560 豆芽机","豆芽 无化学 栽培 环境控制","ArduinoMega2560豆芽机-4919","10.65411\u002Frst.2026.271208",{"doi":326,"openalex_id":328,"authors":329,"venue":285,"cited_by_count":54,"oa_url":333,"card":334,"direction":340,"ingested_from":93},"W7221576059",[330],{"name":331,"orcid":332},"Panot Sripakarach","https:\u002F\u002Forcid.org\u002F0000-0002-7861-5406","https:\u002F\u002Fli01.tci-thaijo.org\u002Findex.php\u002Frmutsvrj\u002Farticle\u002Fdownload\u002F271208\u002F182844",{"tldr":335,"method":336,"finding":337,"direction":338,"opportunity":339},"设计基于Arduino Mega 2560的闭环环境控制系统，用于半自动豆芽机，实现无化学添加的高产","Arduino Mega 2560、热电（Peltier）冷却、湿度控制，与定时","系统稳定水温22–25°C、湿度80–90%，净产量提高31–65%，甲醛和二氧化硫未检出。","智慧农业 \u002F 农业物联网","可探索多环境因子协同优化与低成本传感器集成，并验证规模化商业生产中的能耗与产量平衡。","农业绿色发展与碳","2026-10-14T23:31:07.397575Z",{"id":343,"title":344,"url":345,"summary":346,"summary_zh":347,"content":9,"source_name":10,"source_url":345,"published_at":287,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":348,"score_detail":349,"sources":351,"tags":353,"primary_topic":358,"secondary_topics":364,"classification":370,"search_phrases":396,"slug":399,"view_count":54,"doi":400,"paper":401,"created_at":430},4797,"Beyond single-element toxicity: chromium-salinity interactions, food-chain transfer and mitigation in sugarcane agroecosystems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1942892","Chromium contamination in sugarcane soils is often combined with co-metals and salinity caused by tannery effluent, electroplating effluent, paper mill wastewater, vinasse fertigation and filter cake. Hence, single element toxicity assessment does not provide realistic assessment of its exposure. The present review summarizes research on chromium behaviour along the soil, root, stalk and cane juice in sugarcane. Cr mobility depends on soil pH and redox potential (Eh), while salinity adds an additional control through ionic strength and chloride complexation. Sequential extraction and speciation analysis prove that bioavailable fraction is more important for plant toxicity than total Cr concentration. Cr(VI) enters roots via sulphate and phosphate transporters via mimicking oxyanions and this mechanism differs from that of other metal ions that use ion channels, a route that salt-induced PHT1 expression could plausibly modulate, although this has not been tested in sugarcane. In proxy species, combined Cr and salinity exposure raises reactive oxygen species production and membrane damage beyond the level induced by either stress alone, whereas in sugarcane the downregulation of PEP carboxylase, pyruvate orthophosphate dikinase and photosystem proteins has so far been documented only under salinity applied by itself. Whether the two stresses interact on C4 carbon assimilation in cane remains untested. Root-to-stalk transfer of Cr is low at most sites examined, but not at all of them, and measurable Cr reaches cane juice at concentrations that have driven hazard quotients above unity in two of the four field studies assessed. Bagasse biochar, biochar with nZVI, halotolerant Cr-reducing microorganisms and water management based on redox reactions all reduce Cr bioavailability, but field experiments in cane are lacking. Factorial experiments investigating Cr behaviour depending on salinity gradient, juice level speciation and field trials in ratoons are required.","甘蔗土壤中的铬污染通常与制革废水、电镀废水、造纸厂废水、酒糟灌溉和滤泥带入的伴生金属及盐分复合存在。因此，单一元素毒性评估无法对其暴露状况作出符合实际的评价。本文综述了铬在甘蔗土壤、根系、茎秆及蔗汁中行为的研究进展。铬的迁移性取决于土壤pH和氧化还原电位（Eh），而盐分通过离子强度和氯络合作用对其施加额外调控。连续提取和形态分析表明，生物有效态组分对植物毒性的意义大于总铬浓度。Cr(VI)通过模拟含氧阴离子经硫酸盐和磷酸盐转运蛋白进入根系，这一机制不同于其他利用离子通道的金属离子，而盐诱导的PHT1表达可能调控该途径，但尚未在甘蔗中验证。在替代物种中，铬与盐分复合暴露引起的活性氧产生和膜损伤超过单一胁迫诱导的水平，而在甘蔗中，磷酸烯醇式丙酮酸羧化酶、丙酮酸磷酸双激酶和光系统蛋白的下调目前仅在单独盐胁迫下得到证实。两种胁迫是否在甘蔗C4碳同化过程中发生交互作用仍未经检验。在多数已考察的位点，铬从根系向茎秆的转移量较低，但并非所有位点均如此；在所评估的四项田间研究中，有两项显示可检测到的铬到达蔗汁，其浓度已使危害商数超过1。蔗渣生物炭、负载纳米零价铁（nZVI）的生物炭、耐盐铬还原微生物以及基于氧化还原反应的水分管理均可降低铬的生物有效性，但甘蔗田间试验尚属缺乏。有必要开展考察铬行为随盐度梯度变化的析因实验、蔗汁水平上的形态分析以及宿根蔗田间试验。",74,{"impact":111,"substance":142,"depth":109,"authority":20,"freshness":21,"relevant":22,"comment":350},"综述系统梳理铬-盐交互、食物链迁移与阻控手段，指出甘蔗田间试验空白，对污染蔗区安全利用有参考价值，但属机理综述、非产业级突破。",[352],{"name":10,"url":345},[354,27,355,356,357],"甘蔗","盐渍化","土壤重金属","生物炭修复",{"code":359,"slug":360,"name":361,"path":362,"parent_code":363},"A6","cash-crops","棉麻糖与特色经作","\u002Ftopic\u002Ffield-crops\u002Fcash-crops","A",[365],{"code":45,"slug":366,"name":367,"path":368,"parent_code":369},"soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":165,"locked":14,"version":35,"method":36,"evidence":371},{"candidates":372,"agricultural_evidence":126},[373,378,383,388,392],{"code":359,"score":110,"supported":126,"title":374,"abstract":376,"tags":377},[375],"sugarcane",[354,375],[354],{"code":45,"score":17,"supported":126,"title":379,"abstract":380,"tags":382},[],[381,366],"土壤",[356,355],{"code":263,"score":199,"supported":126,"title":384,"abstract":385,"tags":387},[],[386],"fertigation",[],{"code":316,"score":199,"supported":126,"title":389,"abstract":390,"tags":391},[],[319],[],{"code":40,"score":22,"supported":14,"title":393,"abstract":394,"tags":395},[],[],[27],[397,398],"甘蔗 铬污染 盐渍化","甘蔗汁 风险","甘蔗铬污染盐渍化-4797","10.3389\u002Ffsufs.2026.1942892",{"doi":400,"openalex_id":402,"authors":403,"venue":10,"cited_by_count":54,"oa_url":345,"card":425,"direction":340,"ingested_from":93},"W7221577366",[404,407,409,411,413,415,417,419,421,423],{"name":405,"orcid":406},"Gowtham Sornam","https:\u002F\u002Forcid.org\u002F0009-0009-1150-1568",{"name":408,"orcid":9},"Sugumaran Melkumaramangalam Palani",{"name":410,"orcid":9},"Parameswari Ettiyagounder",{"name":412,"orcid":9},"Kalaiselvi Thangavel",{"name":414,"orcid":9},"Saravanan Naaganoor Ananthan",{"name":416,"orcid":9},"Elayarajan Maharajan",{"name":418,"orcid":9},"Selva Kumar Manikkam",{"name":420,"orcid":9},"Sassikumar Datchinamoorthy",{"name":422,"orcid":9},"Sinduja Murugaiyan",{"name":424,"orcid":9},"Priyatharsini Sengottaiyan",{"tldr":426,"method":427,"finding":428,"direction":340,"opportunity":429},"综述甘蔗农业生态系统中铬与盐分交互作用、食物链传递及缓解措施，指出单元素毒性评估不足。","综述土壤-根-茎-汁中铬形态、转运与缓解技术，结合顺序提取与形态分析。","铬与盐分交互对C4碳同化影响未测，蔗汁铬危害商在部分田间研究中超1，缓解技术缺乏田间验证。","可开展盐度梯度下铬形态与C4光合交互的因子实验，并验证生物炭等缓解措施的田间效果。","2026-10-13T23:30:07.200287Z",{"id":432,"title":433,"url":434,"summary":435,"summary_zh":436,"content":9,"source_name":10,"source_url":434,"published_at":437,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":244,"score_detail":438,"sources":440,"tags":442,"primary_topic":447,"secondary_topics":452,"classification":454,"search_phrases":473,"slug":476,"view_count":54,"doi":477,"paper":478,"created_at":504},4737,"Integrated assessment of agricultural and processing-related chemical hazards across the food chain: glyphosate occurrence and lipid changes in ready-to-eat corn-based foods","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1960698","Introduction Ready-to-eat foods may accumulate chemical hazards from both agricultural production and food processing. These hazards converge in the same food but are usually evaluated separately. This study assessed both types of hazard together in corn-based foods consumed on a Mexican university campus, as an integrated food-chain approach. Methods Ten tortilla and ten tortilla chip samples were collected from campus cafeterias and food stalls. They were screened for glyphosate by high-performance liquid chromatography with diode-array detection (HPLC-DAD), as an indicator of agricultural chemical hazards. Dietary exposure was estimated with a conservative upper-bound scenario and expressed as a hazard quotient (HQ) relative to the acceptable daily intake (ADI). Six paired frying-oil samples, collected before and after frying, were analyzed by Fourier-transform infrared spectroscopy (FTIR) to estimate iodine value (IV) as an indicator of lipid unsaturation. Results Glyphosate signals were detected in 8\u002F10 tortilla and 10\u002F10 tortilla chip samples (90% overall). Screening-level concentrations ranged from 0.107 to 1.994 mg kg −1 . Detected concentrations were above the Mexican maximum residue limit (MRL) for corn grain (0.1 mg kg −1 ) and below the Codex Alimentarius MRL for maize (5 mg kg −1 ); both limits were used only as regulatory reference points. HQ values were 0.0573 for women and 0.0511 for men, so estimated exposure was below the ADI under the assumed scenario. IV decreased significantly after frying (mean decrease 5.00 units; 95% CI 1.30–8.71; p = 0.0178). Discussion Ready-to-eat corn-based foods may carry both agricultural residues and processing-related lipid changes. HQ \u003C 1 does not imply absence of risk. The frequent detection of glyphosate supports continued monitoring and confirmatory analysis by liquid chromatography–tandem mass spectrometry (LC–MS\u002FMS). This integrated approach can support food safety surveillance in institutional food environments.","引言 即食食品可能同时积累来自农业生产的化学危害和来自食品加工的化学危害。这些危害汇聚于同一食品中，但通常被分别评估。本研究以墨西哥某大学校园内消费的玉米基食品为对象，采用食物链综合方法对这两类危害进行了联合评估。方法 从校园食堂和食品摊位采集了10份玉米饼和10份玉米片样品。采用高效液相色谱-二极管阵列检测法（HPLC-DAD）筛查草甘膦，作为农业化学危害的指标。膳食暴露量采用保守的上限情景进行估算，并以相对于可接受每日摄入量（ADI）的危害商（HQ）表示。采集了6对煎炸前后配对的煎炸油样品，通过傅里叶变换红外光谱（FTIR）分析，估算碘值（IV）作为脂质不饱和度的指标。结果 在8\u002F10份玉米饼和10\u002F10份玉米片样品中检测到草甘膦信号（总体90%）。筛查水平浓度范围为0.107至1.994 mg kg⁻¹。检出浓度高于墨西哥玉米粒最大残留限量（MRL）（0.1 mg kg⁻¹），低于国际食品法典委员会玉米最大残留限量（5 mg kg⁻¹）；两个限量仅用作监管参考点。女性的HQ值为0.0573，男性为0.0511，因此在假设情景下估算暴露量低于ADI。煎炸后IV显著下降（平均下降5.00个单位；95% CI 1.30–8.71；p = 0.0178）。讨论 即食玉米基食品可能同时携带农业残留物和加工相关的脂质变化。HQ \u003C 1并不意味着不存在风险。草甘膦的频繁检出支持继续开展监测，并通过液相色谱-串联质谱法（LC–MS\u002FMS）进行确证分析。这种综合方法可支持机构食品环境中的食品安全监督。","2026-10-11T00:00:00Z",{"impact":17,"substance":290,"depth":291,"authority":20,"freshness":21,"relevant":22,"comment":439},"该研究以食品链整合视角同时评估农业投入品残留与加工过程脂质变化，方法新颖、数据具体，对食品安全监测有参考价值，但属境外校园小样本研究，产业影响有限。",[441],{"name":10,"url":434},[27,443,444,445,446],"农药残留","玉米制品","膳食暴露评估","食品链",{"code":448,"slug":449,"name":450,"path":451,"parent_code":363},"A3","maize","玉米","\u002Ftopic\u002Ffield-crops\u002Fmaize",[453],{"code":40,"slug":160,"name":161,"path":162,"parent_code":163},{"status":165,"locked":14,"version":35,"method":36,"evidence":455},{"candidates":456,"agricultural_evidence":126},[457,462,466],{"code":448,"score":291,"supported":126,"title":458,"abstract":460,"tags":461},[459],"corn",[450,449,459],[],{"code":40,"score":17,"supported":126,"title":463,"abstract":464,"tags":465},[],[27,181],[443,27],{"code":467,"score":96,"supported":126,"title":468,"abstract":469,"tags":472},"E1",[],[470,471],"食品加工","food processing",[],[474,475],"墨西哥 玉米饼 草甘膦","即食玉米食品 农药残留","墨西哥玉米饼草甘膦-4737","10.3389\u002Ffsufs.2026.1960698",{"doi":477,"openalex_id":479,"authors":480,"venue":10,"cited_by_count":54,"oa_url":434,"card":499,"direction":340,"ingested_from":93},"W7221452266",[481,483,485,487,490,493,496],{"name":482,"orcid":9},"Wendy Jannette Ascencio-López",{"name":484,"orcid":9},"María Teresa Zayas-Pérez",{"name":486,"orcid":9},"T. Alexandra Ferreira",{"name":488,"orcid":489},"Ricardo Munguía-Pérez","https:\u002F\u002Forcid.org\u002F0000-0002-9131-0092",{"name":491,"orcid":492},"Guadalupe Virginia Nevárez‐Moorillón","https:\u002F\u002Forcid.org\u002F0000-0002-1827-6844",{"name":494,"orcid":495},"Teresa Soledad Cid-Pérez","https:\u002F\u002Forcid.org\u002F0000-0003-2382-4072",{"name":497,"orcid":498},"Raúl Ávila-Sosa","https:\u002F\u002Forcid.org\u002F0000-0001-7721-0135",{"tldr":500,"method":501,"finding":502,"direction":340,"opportunity":503},"整合评估即食玉米食品中草甘膦残留与煎炸油脂变化两类化学危害。","HPLC-DAD检测草甘膦，FTIR测碘值，估算危害商，墨西哥校园采样。","90%样品检出草甘膦，部分超墨西哥限量；煎炸后碘值显著下降。","可拓展至其他即食食品链，结合LC-MS\u002FMS确证与多危害联合暴露风险评估。","2026-10-12T23:30:06.510266Z"]