过程分析技术
生化工程
过程控制
计算机科学
近红外光谱
食品工业
质量(理念)
工艺工程
制造工程
环境科学
过程(计算)
系统工程
在制品
工程类
运营管理
化学
食品科学
认识论
操作系统
物理
哲学
量子力学
作者
Silvia Grassi,Cristina Alamprese
标识
DOI:10.1016/j.cofs.2017.12.008
摘要
Process analytical technology (PAT) in food industries can improve process efficiency and final product quality by enhancing understanding and control of the manufacturing processes. Near infrared spectroscopy (NIRS) is one of the predominant e-sensing technologies used in PAT, thanks to its ability in fingerprinting materials and simultaneously analyzing different food-related phenomena. Recent advances have shown good potentials of NIRS in real-time monitoring and modeling of different food processes. However, most studies have been carried out at a lab scale, while applications at industrial levels are still few. To bridge the gap between NIRS potentials and its actual implementation in PAT, more efforts are requested to both researchers and industries in order to close the control loop for an efficient and automated processing management.
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