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聚焦数智融合与健康粮油","http:\u002F\u002Fwww.sdncps.com\u002Farticles\u002Fch12342\u002F202610\u002F6676fb19-35b5-4044-b9aa-00a21cb2aff1.shtml","10月10日至12日未来粮油大健康学术交流会暨健康校园专题研讨会在淄博举行，由山东理工大学农业工程与食品科学学院与山东省农科院农产品加工与营养研究所共同承办，300余名专家学者参会。会议以「数智融合，健康粮油」为主题，并举办首届大学生「三美农食」创新创意大赛与粮油学会科学技术奖颁奖。","10月10日至12日，未来粮油大健康学术交流会暨健康校园专题研讨会—2026年山东省粮油学会学术年会在淄博举行。本次年会由中国粮油学会、山东理工大学、山东省农业科学院指导，山东省粮油学会主办，我所与山东理工大学农业工程与食品科学学院共同承办，山东省学校后勤协会、齐鲁粮油产教联合体、中国海洋大学食品科学与工程学院协办。我所党委书记、所长刘丽娜出席本次会议并主持开幕式颁奖环节。\n\n11日上午，年会在山东理工大学齐创大厦会议中心开幕。中国海洋大学食品科学与工程学院教授薛长湖，中国农科院油料作物研究所研究员李培武，中国粮油学会理事长卢景波，山东省科协副主席张波，山东省粮食和物资储备局副局长刘萍，山东理工大学校长李玉霞，山东理工大学校党委副书记、山东省粮油学会理事长杜方岭出席开幕式。\n\n主旨报告环节，薛长湖教授作了题为《海洋水产品加工的发展趋势》的报告。李培武研究员线上分享了《食用油脂与生命健康》报告。江南大学食品学院王兴国教授、农业农村部食物与营养发展研究所所长王凤忠分别作专题报告。\n\n大会期间，举行了“中裕杯”首届山东省大学生“三美农食”创新创意大赛、2026年度山东省粮油学会科学技术奖、优秀论文奖颁奖仪式，现场发布了山东省粮油学会会标。山东省粮油学会与山东省学校后勤协会进行了战略合作签约。\n\n为促进健康粮油与校园营养健康需求有效衔接，会议同期举办健康校园专题研讨会，聚焦高校食堂大宗食材政府采购管理、小麦源功能食品开发等议题，邀请粮油科研机构、食品企业及学校后勤管理领域代表，围绕校园粮油食材采购、产品品质保障、健康粮油开发应用等内容展开研讨。作为本次年会的承办单位之一，我所参与专题研讨会的组织工作，并与参会代表进行了交流。\n\n本次年会以“数智融合，健康粮油”为主题，旨在搭建思想交锋、产学研对接和青年成长的平台。我所将以承办本次年会为契机，进一步深化与省内外高校、科研院所及粮油企业的交流合作，加强农产品加工与营养领域科技创新与成果转化，为保障国家粮食安全、推进健康中国建设贡献更大力量。\n\n来自国内粮油领域的专家学者、高校科研院所代表、粮油企业负责人等300余人参会。（撰写：岳昊   核稿：刘丽娜）","山东省农业科学院农产品加工与营养研究所 2026-10-17","2026-10-17T00:00:00Z",63,{"impact":19,"substance":150,"depth":47,"authority":47,"freshness":151,"relevant":22,"comment":152},16,5,"省级粮油学会年会，主题涉及数智融合与健康粮油，有产学研签约和专题研讨等实质内容，但属行业会议通稿，时效偏旧，可作一般资讯而非每日精选。",[154],{"name":146,"url":143},[156,157,158,159,160],"产学研对接","粮油加工","健康粮油","数智融合","校园营养",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":164},{"candidates":165,"agricultural_evidence":48},[166],{"code":34,"score":55,"supported":48,"title":167,"abstract":168,"tags":169},[],[50],[],[171,172],"山东省粮油学会 学术年会","数智融合 健康粮油","山东省粮油学会学术年会-5515","2026-10-22T00:07:04.000276Z",{"id":176,"title":177,"url":178,"summary":179,"summary_zh":8,"content":180,"source_name":181,"source_url":8,"published_at":182,"category":76,"cover_url":8,"hotness":13,"is_selected":14,"score":183,"score_detail":184,"sources":188,"tags":190,"primary_topic":195,"secondary_topics":196,"classification":197,"search_phrases":205,"slug":208,"view_count":138,"doi":8,"paper":8,"created_at":209},5510,"中国农科院加工所研发3D打印仿生三文鱼 破解老年人吞咽进食难题","https:\u002F\u002Fwww.caas.cn\u002Fxwzx\u002Fmtxw\u002Fed0d9b62360a486d96bc32e04531bc1a.htm","农产品加工所食物营养与功能性食品创新团队构建核桃蛋白与蛋清蛋白复合乳液凝胶体系，用挤出式3D打印复刻三文鱼红白纹理。100℃烘烤3分钟为最佳方案，可分别达到国际吞咽障碍食品标准5级和6级，产品蛋白含量达22%，蛋白补充效率较传统产品提高200%。","科研人员对比了蒸制与烘烤两种方式，发现烘烤后的样品中关键风味物质含量明显增加，色泽、香气和吞咽顺滑度都更胜一筹。其中，100℃烘烤3分钟是效果最佳的方案，产品感官评分最高。通过调整烘烤时间，可以精准控制食物的软硬度，分别达到国际吞咽障碍食品标准的5级和6级，适配吞咽能力不同的老人。\n\n经专业测试，这款仿生三文鱼蛋白含量达到22%，质地柔软湿润、易于成团、不易散开，完全符合“可安全吞咽”的食物质地要求。","人民日报海外版 2026-10-19","2026-10-19T00:00:00Z",81,{"impact":185,"substance":186,"depth":150,"authority":106,"freshness":20,"relevant":22,"comment":187},22,21,"国家级科研机构在适老食品与3D打印领域取得实质突破，数据与标准等级明确，具备行业示范价值，值得进入每日精选。",[189],{"name":181,"url":178},[50,191,192,193,194],"适老食品","3D打印食品","吞咽障碍食品","仿生食品",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":198},{"candidates":199,"agricultural_evidence":48},[200],{"code":34,"score":201,"supported":48,"title":202,"abstract":203,"tags":204},4,[],[50],[50],[206,207],"中国农科院 加工所 仿生三文鱼","3D打印 适老食品 吞咽障碍","中国农科院加工所仿生三文鱼-5510","2026-10-22T00:07:03.681391Z",{"id":211,"title":212,"url":213,"summary":214,"summary_zh":8,"content":8,"source_name":215,"source_url":8,"published_at":216,"category":76,"cover_url":8,"hotness":13,"is_selected":14,"score":217,"score_detail":218,"sources":220,"tags":222,"primary_topic":227,"secondary_topics":228,"classification":229,"search_phrases":247,"slug":250,"view_count":138,"doi":8,"paper":8,"created_at":251},5115,"中国农科院加工所构建各向异性颗粒载体 实现姜黄素与白藜芦醇分区稳定输送","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20261016A05K4N00","中国农业科学院农产品加工研究所植物蛋白结构与功能调控创新团队构建了一种食品级各向异性颗粒载体,可将姜黄素和白藜芦醇分区装载于同一颗粒的两侧,实现协同增效,相关成果发表在《Advanced Composites and Hybrid Materials》上。研究团队构建了精密「微观生产线」,实现颗粒的连续化精准调控,赋予其「空间可编程」特性。该颗粒以玉米醇溶蛋白和紫胶为原料构建,并在两面分别装载姜黄素和白藜芦醇,经壳聚糖修饰形成稳定凝胶结构,既避免两者间的活性相互干扰,又显著提升细胞吸收效率,为食品功能因子的高效利用构建了技术平台。","中国农业科学院农产品加工研究所 腾讯新闻 2026 年 10 月 16 日","2026-10-16T00:00:00Z",82,{"impact":19,"substance":185,"depth":19,"authority":106,"freshness":13,"relevant":22,"comment":219},"国家级科研机构在食品功能因子递送领域的方法学突破，专业增量足，但属实验室成果，产业影响尚待验证。",[221],{"name":215,"url":213},[50,223,224,225,226],"功能食品","姜黄素","白藜芦醇","食品级载体",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":14,"version":42,"method":43,"evidence":230},{"candidates":231,"agricultural_evidence":48},[232,236,242],{"code":34,"score":201,"supported":48,"title":233,"abstract":234,"tags":235},[],[50],[50],{"code":237,"score":55,"supported":48,"title":238,"abstract":239,"tags":241},"A3",[],[240],"玉米",[],{"code":243,"score":22,"supported":14,"title":244,"abstract":245,"tags":246},"E2",[],[],[223],[248,249],"中国农科院加工所 各向异性颗粒","姜黄素 白藜芦醇 分区输送","中国农科院加工所各向异性颗粒-5115","2026-10-17T00:13:39.535100Z",{"id":253,"title":254,"url":255,"summary":256,"summary_zh":8,"content":257,"source_name":258,"source_url":8,"published_at":259,"category":76,"cover_url":8,"hotness":13,"is_selected":48,"score":260,"score_detail":261,"sources":263,"tags":265,"primary_topic":270,"secondary_topics":275,"classification":277,"search_phrases":290,"slug":293,"view_count":55,"doi":8,"paper":8,"created_at":294},4534,"中国农科院农产品加工所：无金属有机光催化材料抑菌率超90%——为食品保鲜与冷链物流提供新方案","https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?cat=T&id=572611&mobile=1&type=detail","中国农业科学院农产品加工研究所肉品科学与营养工程创新团队研发出一种无金属有机光催化材料，在无牺牲剂条件下高效产生活性氧，对大肠杆菌抑菌率超90%。相关研究发表于《德国应用化学》（Angewandte Chemie International Edition）。团队以二乙炔基氢键有机框架单晶为前驱体，借助氢键搭建有序骨架，再通过拓扑化学聚合转化为共价有机框架，构筑一维电荷输运通道。该设计使激子扩散长度提升至约12纳米，催化剂可高效利用光能产生过氧化氢，产物生成速率达4.8毫摩尔\u002F(克·小时)。该研究为食品保鲜、冷链物流及微生物污染防控提供了理论与材料基础。","近期，中国农业科学院农产品加工研究所肉品科学与营养工程创新团队研发出一种无金属有机光催化材料，在无牺牲剂条件下高效产生活性氧，对大肠杆菌抑菌率超90%。相关研究成果以\"New Approach to Designing Noble-metal-free Organic Photocatalytic Antimicrobial Materials\"为题，发表在《德国应用化学》（Angewandte Chemie International Edition）上。有机光催化材料的性能，需兼顾内部电荷传输网络的畅通与整体结构的规整，但两者往往相互制约，难以兼得。针对这一难题，科研团队以二乙炔基氢键有机框架单晶为前驱体，先借助氢键搭建有序骨架，再通过拓扑化学聚合转化为共价有机框架，从而在材料中构筑出一维电荷输运通道。该设计有效绕开了传统路径的矛盾，使激子的扩散长度提升至约12纳米，在有机光催化材料中属于显著进步。同时，该无金属光催化剂在不添加任何牺牲剂的条件下，可高效利用光能产生过氧化氢，产物生产速率达4.8毫摩尔每克每小时，展现出突出的光催化抑菌活性。该研究为开发更安全高效的光催化抑菌技术奠定了理论与材料基础，预期在食品保鲜、冷链物流及微生物污染防控等领域具有广阔应用前景。","科学网 2026 年 10 月 09 日 转中国农业科学院农产品加工所","2026-10-08T16:00:00Z",84,{"impact":185,"substance":185,"depth":19,"authority":106,"freshness":20,"relevant":22,"comment":262},"国家级科研机构在《德国应用化学》发表的无金属有机光催化抑菌材料成果，数据扎实、应用指向食品保鲜与冷链物流，具备进入每日精选的价值。",[264],{"name":258,"url":255},[266,50,267,268,269],"冷链物流","食品保鲜","光催化抑菌","新材料",{"code":271,"slug":272,"name":273,"path":274,"parent_code":38},"E3","cold-chain","冷链仓储物流","\u002Ftopic\u002Ffood-supply\u002Fcold-chain",[276],{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},{"status":41,"locked":14,"version":42,"method":43,"evidence":278},{"candidates":279,"agricultural_evidence":48},[280,286],{"code":271,"score":281,"supported":48,"title":282,"abstract":284,"tags":285},24,[283,267],"冷链",[283,267],[266,267],{"code":34,"score":47,"supported":48,"title":287,"abstract":288,"tags":289},[50],[50],[50],[291,292],"中国农科院 农产品加工所 光催化抑菌材料","无金属有机光催化材料 食品保鲜","中国农科院农产品加工所光催化抑菌材料-4534","2026-10-10T00:14:57.569664Z",{"id":296,"title":297,"url":298,"summary":299,"summary_zh":300,"content":8,"source_name":301,"source_url":298,"published_at":302,"category":303,"cover_url":8,"hotness":13,"is_selected":14,"score":304,"score_detail":305,"sources":307,"tags":309,"primary_topic":315,"secondary_topics":321,"classification":329,"search_phrases":362,"slug":365,"view_count":55,"doi":366,"paper":367,"created_at":381},3613,"AI-Assisted Demand Forecasting and Production Scheduling for High-Volume Food Manufacturing in Saudi Arabia: A Food Security Framework for Vision 2030","https:\u002F\u002Fdoi.org\u002F10.64388\u002Firev10i3-1723457","High-volume food manufacturing in Saudi Arabia is increasingly exposed to volatile demand, short product life cycles, promotion-driven peaks, imported input dependencies, capacity bottlenecks, and the operational consequences of seasonal and religious events. These conditions make demand forecasting and production scheduling inseparable rather than sequential planning tasks. This review synthesizes research published between 2020 and 2025 on artificial intelligence-assisted demand forecasting, perishable-product planning, finite-capacity scheduling, digital-twin-enabled decision support, and food supply-chain resilience. The study develops an integrated framework in which demand sensing produces probabilistic forecasts that are translated into production decisions through capacity, shelf-life, sanitation, changeover, labour, inventory, and service constraints. Evidence indicates that machine-learning and deep-learning methods can improve forecast accuracy when promotions, weather, calendar events, regional variation, and censored demand are represented appropriately, while optimization models can convert these signals into feasible schedules that reduce changeovers, waste, shortages, and unstable resource use [1-8]. The review also identifies a persistent implementation gap: forecasting studies often stop at predictive accuracy, whereas scheduling studies frequently assume demand inputs are fixed and reliable. The proposed framework closes this gap by linking forecast uncertainty, rolling-horizon scheduling, execution feedback, and food-security outcomes. For Saudi manufacturers, the value of this integration lies not only in lower cost, but also in improving product availability, freshness, localized processing capacity, shock recovery, and evidence-based management under Vision 2030. The paper concludes with a staged implementation roadmap and research priorities for explainability, cross-site scheduling, event-aware forecasting, data governance, and resilient planning.","沙特阿拉伯的大规模食品制造日益面临需求波动、产品生命周期短、促销驱动的峰值、进口原料依赖、产能瓶颈以及季节性和宗教事件的运营影响。这些条件使得需求预测与生产调度成为不可分割的任务，而非顺序规划任务。本文综述了2020年至2025年间发表的相关研究，涵盖人工智能辅助需求预测、易腐产品规划、有限产能调度、数字孪生赋能的决策支持以及食品供应链韧性。研究构建了一个集成框架，其中需求感知产生概率预测，并通过产能、保质期、卫生、换产、劳动力、库存和服务约束转化为生产决策。证据表明，当促销、天气、日历事件、区域差异和截尾需求得到适当表征时，机器学习和深度学习方法能够提高预测精度，而优化模型可将这些信号转化为可行的调度方案，从而减少换产、浪费、缺货和不稳定的资源使用[1-8]。本综述还指出了一个持续存在的实施缺口：预测研究往往止步于预测精度，而调度研究则常常假设需求输入是固定且可靠的。所提出的框架通过将预测不确定性、滚动时域调度、执行反馈和食品安全结果联系起来，弥合了这一缺口。对于沙特制造商而言，这种集成的价值不仅在于降低成本，还在于改善产品可得性、新鲜度、本地化加工能力、冲击恢复能力以及“2030愿景”下的循证管理。本文最后提出了分阶段实施路线图以及可解释性、跨厂区调度、事件感知预测、数据治理和韧性规划方面的研究优先事项。","Iconic Research and Engineering Journals","2026-09-25T00:00:00Z","论文",60,{"impact":47,"substance":19,"depth":150,"authority":21,"freshness":20,"relevant":22,"comment":306},"综述性论文，提出AI需求预测与生产排程整合框架，对智慧农业与粮食安全有参考价值，但属境外研究且期刊权威性一般。",[308],{"name":301,"url":298},[310,311,312,313,314],"智慧农业","农业人工智能","粮食安全","供应链韧性","生产调度",{"code":316,"slug":317,"name":318,"path":319,"parent_code":320},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[322,323],{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},{"code":324,"slug":325,"name":326,"path":327,"parent_code":328},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":41,"locked":14,"version":42,"method":43,"evidence":330},{"candidates":331,"agricultural_evidence":48},[332,337,345,350,356],{"code":34,"score":113,"supported":48,"title":333,"abstract":335,"tags":336},[334],"food manufacturing",[334],[],{"code":324,"score":13,"supported":48,"title":338,"abstract":339,"tags":344},[],[340,341,342,343],"深度学习","机器学习","artificial intelligence","decision support",[311],{"code":316,"score":118,"supported":48,"title":346,"abstract":348,"tags":349},[347],"food security",[],[312],{"code":351,"score":201,"supported":48,"title":352,"abstract":353,"tags":355},"I1",[],[354],"数字孪生",[310],{"code":357,"score":55,"supported":48,"title":358,"abstract":359,"tags":361},"E4",[],[360],"食品安全",[],[363,364],"沙特阿拉伯 食品制造 需求预测","Vision 2030 粮食安全","沙特阿拉伯食品制造需求预测-3613","10.64388\u002Firev10i3-1723457",{"doi":366,"openalex_id":368,"authors":369,"venue":301,"cited_by_count":138,"oa_url":372,"card":373,"direction":379,"ingested_from":380},"W7214295236",[370],{"name":371,"orcid":8},"Atif Maqbool Syed","https:\u002F\u002Fwww.irejournals.com\u002Fformatedpaper\u002F1723457.pdf",{"tldr":374,"method":375,"finding":376,"direction":377,"opportunity":378},"综述2020-2025年AI需求预测与生产调度研究，提出沙特食品制造整合框架以保障Vision 20","文献综述2020-2025年AI预测、易腐品规划、有限产能调度与数字孪生研究。","预测研究止于精度、调度研究假设需求固定，整合框架可弥合实施鸿沟并提升粮食安全。","农业人工智能与决策模型","可研究事件感知预测与滚动调度耦合、跨工厂协同及可解释AI在食品供应链韧性中的应用。","智慧农业 \u002F 农业物联网","openalex","2026-09-27T23:30:14.516185Z"]