分子动力学
计算机科学
食品加工
更安全的
产品(数学)
软件
计算科学
生化工程
化学
食品科学
工程类
数学
计算化学
几何学
计算机安全
程序设计语言
作者
Andrea S. Smith,Xin Dong,Vijaya Raghavan
出处
期刊:Processes
[MDPI AG]
日期:2022-01-07
卷期号:10 (1): 119-119
被引量:18
摘要
Molecular dynamics (MD) simulation is a particularly useful technique in food processing. Normally, food processing techniques can be optimized to favor the creation of higher-quality, safer, more functional, and more nutritionally valuable food products. Modeling food processes through the application of MD simulations, namely, the Groningen Machine for Chemical Simulations (GROMACS) software package, is helpful in achieving a better understanding of the structural changes occurring at the molecular level to the biomolecules present in food products during processing. MD simulations can be applied to define the optimal processing conditions required for a given food product to achieve a desired function or state. This review presents the development history of MD simulations, provides an in-depth explanation of the concept and mechanisms employed through the running of a GROMACS simulation, and outlines certain recent applications of GROMACS MD simulations in the food industry for the modeling of proteins in food products, including peanuts, hazelnuts, cow’s milk, soybeans, egg whites, PSE chicken breast, and kiwifruit.
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