Enhancing steady state processing of plant protein for the food industry

加强食品工业植物蛋白的稳态加工

• 批准号: 544448-2019
• 负责人: Rogers, Kevin
• 金额: $ 1.8万
• 依托单位: Saskatchewan Polytechnic
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680098
• 关键词: Enhancing; steady; state; processing; plant

KeyLeaf (KL) is a leading authority on plant-based extracts and ingredients as products. KL and Saskatchewan Polytechnic (SP) are investigating how to take advantage of machine learning, NoSQL and the Industrial Internet of Things (IIoT) to modernize and optimize KL's ingredient extraction process. The Engage phase of the project will commence in tandem with a MITACS grant of the same scope, involving building the database (DB) and user interface, determining how to best structure the data for analysis, designing the analytic algorithms, then testing the system and prepping for the next phase. This will produce a faster bioprocessing system for KL capable of identifying areas in its own processes that can be improved, thus increasing product quality.

KeyLeaf （KL）是植物提取物和成分产品的领先权威。KL和萨斯喀彻温理工学院（SP）正在研究如何利用机器学习、NoSQL和工业物联网（IIoT）来现代化和优化KL的成分提取过程。项目的参与阶段将与MITACS相同范围的授权同时开始，包括建立数据库（DB）和用户界面，确定如何最佳地构建分析数据，设计分析算法，然后测试系统并为下一阶段做准备。这将为KL生产一个更快的生物处理系统，能够识别其自身过程中可以改进的区域，从而提高产品质量。