Metabolomic-guided comprehensive food analysis and smart food traceability

代谢组学引导的综合食品分析和智能食品追溯

• 批准号: RGPIN-2022-04892
• 负责人: Hu, Yaxi
• 金额: $ 2.4万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=747913
• 关键词: Metabolomic; guided; comprehensive; food; analysis

Food fraud is conservatively estimated to cause $65B USD in damage to the global food industry every year. Food fraud not only causes economic damage, but also impairs consumers' trust in government and the food industry, potentially hides harmful ingredients in the products, and prevents consumers from making wise decisions based on their nutritional needs as well as religious and other beliefs (e.g., vegetarian). This issue has become more serious in recent years due to the increasingly complex global food supply chain. To address this issue, our group will develop new and effective analytical methods and integrate them with a global information sharing system to detect fraudulent products and share the results to all stakeholders (i.e., consumers, food industry and government) in a timely manner. The long-term research objective of my program is to push the advancement of analytical techniques for the detection of fraudulent foods and integrate the advanced analytical methods with information technologies including the Internet of Things and artificial intelligence. This will allow instant results sharing along the food value chain and best protects all stakeholders from food fraud. For this 5-year research plan, I will use metabolomics to identify novel food markers that can achieve reliable food authentication. Targeting these novel food markers, I will develop two rapid analytical methods for food authentication suitable for different application scenarios. The first method is a cheap and disposable paper-based microfluidic sensor that can be applied in the field to screen food authenticity, independent of laboratory-scale instrumentation. The second method is a one-step, semi-quantitative analysis based on a laboratory scale instrument (i.e., ambient ionization source-mass spectrometry). To achieve instant results sharing, a web-based user interface will be developed to process the data collected by the two analytical methods, interpret the results, and share the results with stakeholders in an automated and instant manner. Plant-based milk alternatives will be used as a model food commodity for these proof-of-concept research activities. The outcomes of these proposed research activities include a comprehensive database for chemical profiles of foods that are useful for the development of novel analytical methods for food authenticity, as well as food safety and quality. The two rapid analytical methods that will be developed will provide inspection agencies, the food industry and consumers with more powerful tools to investigate food fraud issues. Moreover, the web-based user interface will lay a foundation for a successful Internet of Things-based food traceability platform that will be developed over the long term in my research program which will provide a comprehensive platform to address food fraud. These outcomes will protect Canadian consumers, the food industry as well as governments from the impact of food fraud.

保守估计，食品欺诈每年给全球食品行业造成 650 亿美元的损失，食品欺诈不仅会造成经济损失，还会损害消费者对政府和食品行业的信任，可能会在产品中隐藏有害成分，并且还会损害消费者对政府和食品行业的信任。近年来，由于全球食品供应链日益复杂，这个问题变得更加严重。将开发新的有效的分析方法并将其与全球信息共享系统相结合，以检测欺诈产品，并及时向所有利益相关者（即消费者、食品行业和政府）分享结果。我的项目的长期研究目标是推动欺诈产品的进步。检测欺诈食品的分析技术，并将先进的分析方法与物联网和人工智能等信息技术相结合，这将允许在食品价值链上即时共享结果，并最好地保护所有利益相关者免受食品欺诈的侵害。年的研究计划，我将使用代谢组学针对这些新型食品标记，我将开发两种适合不同应用场景的快速食品认证分析方法。第一种方法是可应用的廉价且一次性的纸基微流体传感器。第二种方法是基于实验室规模仪器（即环境电离源质谱法）的一步式半定量分析，以实现即时结果共享。 ,将开发一个基于网络的用户界面，以处理两种分析方法收集的数据，解释结果，并以自动化和即时的方式与利益相关者分享结果。植物性牛奶替代品将用作模型食品商品。这些概念验证研究活动的成果包括食品化学特征的综合数据库，有助于开发食品真实性以及食品安全和质量的新型分析方法。将开发的方法将为检验机构、食品工业和消费者提供此外，基于网络的用户界面将为成功的基于物联网的食品追溯平台奠定基础，该平台将在我的研究计划中长期开发，该平台将提供全面的服务。这些成果将保护加拿大消费者、食品行业以及政府免受食品欺诈的影响。