Multivariate data analysis as a tool in advanced quality monitoring in the food production chain
Multivariate data analysis as a tool in advanced quality monitoring in the food production chain
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DOI：
10.1016/s0924-2244(02)00138-3
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发表时间：
2002-06-01
影响因子：
15.3
通讯作者：
Andersen, H
中科院分区：
文献类型：
--
作者：
Bro, R;van den Berg, F;Andersen, H
本文总结了与食品生产链高级质量监控相关的数学模型的一些最新进展。使用化学计量学-多元数据分析——说明如何更有效地解决食品科学中的问题，并且解决以前无法解决的问题。不同的数学模型均以食品相关主题为例，以强调模型在食物链中的通用用途。应用将涵盖肉类、储存、蔬菜表征、鱼类质量监测和工业食品加工，并将涵盖方差分析、采样变异监测和处理、校准、探索/数据挖掘和硬建模等领域。 (C) 2002 Elsevier Science Ltd. 保留所有权利。
This paper summarizes some recent advances in mathematical modeling of relevance in advanced quality monitoring in the food production chain. Using chemometrics-multivariate data analysis - it is illustrated how to tackle problems in food science more efficiently and, moreover, solve problems that could not otherwise be handled before. The different mathematical models are all exemplified by food related subjects to underline the generic use of the models within the food chain. Applications will be given from meat, storage, vegetable characterization, fish quality monitoring and industrial food processing, and will cover areas such as analysis of variance, monitoring and handling of sampling variation, calibration, exploration/data mining and hard modeling. (C) 2002 Elsevier Science Ltd. All rights reserved.