计算机科学
过程(计算)
产品(数学)
质量(理念)
资源(消歧)
食品加工
资源效率
风险分析(工程)
业务
食品科学
数学
生物
计算机网络
生态学
认识论
操作系统
哲学
化学
几何学
作者
Ashim K. Datta,Bart Nicolaı̈,Olivier Vitrac,Pieter Verboven,Ferruh Erdoğdu,Francesco Marra,Fabrizio Sarghini,Chris Koh
出处
期刊:Nature food
[Springer Nature]
日期:2022-11-03
卷期号:3 (11): 894-904
被引量:23
标识
DOI:10.1038/s43016-022-00617-5
摘要
Computer-aided food engineering (CAFE) can reduce resource use in product, process and equipment development, improve time-to-market performance, and drive high-level innovation in food safety and quality. Yet, CAFE is challenged by the complexity and variability of food composition and structure, by the transformations food undergoes during processing and the limited availability of comprehensive mechanistic frameworks describing those transformations. Here we introduce frameworks to model food processes and predict physiochemical properties that will accelerate CAFE. We review how investments in open access, such as code sharing, and capacity-building through specialized courses could facilitate the use of CAFE in the transformation already underway in digital food systems. Computer-aided food engineering (CAFE) drives high-level innovations in food safety and quality. The multiscale structure of foods requires novel modelling paradigms. This Review explores current CAFE modelling frameworks and computational approaches and the challenges to introducing computer-aided engineering in food-manufacturing processes.
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