Predictive modelling of health aspects in the food production chain: a case study on glucosinolates in cabbage
Predictive modelling of health aspects in the food production chain: a case study on glucosinolates in cabbage
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DOI：
10.1016/s0924-2244(00)00062-5
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发表时间：
2000-04-01
影响因子：
15.3
通讯作者：
Jongen, WMF
中科院分区：
文献类型：
--
作者：
Dekker, M;Verkerk, R;Jongen, WMF
本文论证了蔬菜产品食品生产链中的许多环节对最终的保健植物化学物质的摄入量有很大的影响。生产链中每一步的水平差异很大，这使得对膳食中植物化学物质的摄入量进行实验性量化变得极其困难。我们提出了一个概念，用于预测蔬菜产品生产链中的各种过程对潜在健康益处的植物化学物质摄入量的影响。这一方法旨在用于开发工具，以促进保健品的产品和过程开发以及饮食中生物活性物质的流行病学输入数据。在十字花科蔬菜中存在的保护性硫代葡萄糖苷被用来说明这种预测模型的价值。所描述的模型为以定量的方式处理整个链上硫代葡萄糖苷水平的变化提供了一个强大的工具。产品开发、消费者建议和人类干预试验是可能从这种方法中获得巨大好处的重要领域。
In this paper, it is demonstrated that many steps in the food production chain of vegetable products can have large influence on the final intake of health protective phytochemicals. The wide variations in levels at each step in the production chain makes an experimental quantification of the dietary intake of phytochemical extremely difficult. We present a concept for predictive modelling of the effects of various processes in the production chain of vegetable products on the intake of phytochemicals with potential health benefits. This approach is intended to be used for the developments of tools to facilitate both product and process development for health products as well as epidemiological input data for bioactive substances in the diet. Protective glucosinolates present in Brassica vegetables are used to illustrate the value of such a predictive model. The described model provides a powerful tool for handling the variation of glucosinolate levels throughout the chain in a quantitative way. Product development, consumer advice and human intervention trials are important areas that could benefit enormously from this approach.