PolyCheck. Using advanced data science to design a better protocol to detect and monitor listeria in the food preparation industry

多检查。

• 批准号: 10009393
• 金额: $ 13.07万
• 依托单位: POLYCHORD LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10009393
• 关键词: PolyCheck.; Using; advanced; data; science

Listeria is the deadliest food-borne disease in the UK. It is generally transmitted when food is harvested, processed, prepared, packed, transported or stored in environments contaminated with _L. monocytogenes_. These environments can be contaminated by raw materials, water, soil, and incoming air. Detecting and monitoring listeria effectively for companies engaged in food preparation and processing has proved elusive and difficult in the past decades.FoodScan (PolyChord's first project in food safety) has already proved capable of better monitoring the growth/death of enterococcus and salmonella than other standard methods. We will use what we have learnt in the FoodScan project to apply similar methodology to improving the monitoring of listeria monocytogenes. In this new approach, PolyChord will be closely collaborating with a leading food preparation company and Prof. Seamus Fanning - a world-renowned biologist - to develop a data driven approach for detecting and monitoring listeria monocytogenes in produce entering food processing factories in the UK. The outcoming result will be called PolyCheck, a new way of using data science to identify listeria in incoming foods and a major step towards establishing a better protocol for addressing Listeria in the food preparation industry.We use what we have learnt in the FoodScan project, applying our advanced data science, PolyChord, combined with cutting-edge of precision food science to develop a data driven approach to detecting and monitoring listeria. We will be working closely with a leading food preparation company and Prof. Seamus Fanning to combine environmental data with genomic sequencing. The outcoming result will be called PolyCheck, which is a practical step towards establishing a better protocol for addressing Listeria in the food preparation industry.

李斯特菌是英国最致命的食源性疾病。它通常在食品在受l污染的环境中收获、加工、制备、包装、运输或储存时传播。monocytogenes_。这些环境可能受到原材料、水、土壤和进入的空气的污染。在过去的几十年里，为从事食品制备和加工的公司有效地检测和监测李斯特菌被证明是难以捉摸和困难的。FoodScan （PolyChord在食品安全方面的第一个项目）已经被证明能够比其他标准方法更好地监测肠球菌和沙门氏菌的生长/死亡。我们将利用我们在食品扫描项目中学到的知识，应用类似的方法来改进单核细胞增生李斯特菌的监测。在这种新方法中，PolyChord将与一家领先的食品制备公司和世界知名生物学家Seamus Fanning教授密切合作，开发一种数据驱动的方法，用于检测和监测进入英国食品加工厂的产品中的单核细胞增多李斯特菌。最终的结果将被称为PolyCheck，这是一种使用数据科学来识别传入食品中的李斯特菌的新方法，也是建立一个更好的解决食品制备行业李斯特菌问题的协议的重要一步。我们利用我们在FoodScan项目中学到的知识，应用我们先进的数据科学PolyChord，结合精密食品科学的前沿，开发出一种数据驱动的方法来检测和监测李斯特菌。我们将与一家领先的食品制备公司和Seamus Fanning教授密切合作，将环境数据与基因组测序相结合。最终的结果将被称为PolyCheck，这是朝着建立一个更好的解决食品加工行业李斯特菌问题的方案迈出的实际一步。