Koster Sander, Leeman Winfried, Verheij Elwin, Dutman Ellen, van Stee Leo, Nielsen Lene Munch, Ronsmans Stefan, Noteborn Hub, Krul Lisette
TNO, Zeist, The Netherlands.
TNO, Zeist, The Netherlands.
Food Chem Toxicol. 2015 Jun;80:163-181. doi: 10.1016/j.fct.2015.03.010. Epub 2015 Mar 16.
A main challenge in food safety research is to demonstrate that processing of foodstuffs does not lead to the formation of substances for which the safety upon consumption might be questioned. This is especially so since food is a complex matrix in which the analytical detection of substances, and consequent risk assessment thereof, is difficult to determine. Here, a pragmatic novel safety assessment strategy is applied to the production of non-selective extracts (NSEs), used for different purposes in food such as for colouring purposes, which are complex food mixtures prepared from reference juices. The Complex Mixture Safety Assessment Strategy (CoMSAS) is an exposure driven approach enabling to efficiently assess the safety of the NSE by focussing on newly formed substances or substances that may increase in exposure during the processing of the NSE. CoMSAS enables to distinguish toxicologically relevant from toxicologically less relevant substances, when related to their respective levels of exposure. This will reduce the amount of work needed for identification, characterisation and safety assessment of unknown substances detected at low concentration, without the need for toxicity testing using animal studies. In this paper, the CoMSAS approach has been applied for elderberry and pumpkin NSEs used for food colouring purposes.
食品安全研究中的一个主要挑战是证明食品加工不会导致形成食用安全性可能受到质疑的物质。尤其如此，因为食品是一个复杂的基质，其中物质的分析检测及其后续风险评估很难确定。在此，一种实用的新型安全评估策略应用于非选择性提取物（NSEs）的生产，这些提取物在食品中有不同用途，如用于着色目的，它们是由参考果汁制备的复杂食品混合物。复杂混合物安全评估策略（CoMSAS）是一种以暴露为驱动的方法，通过关注新形成的物质或在NSE加工过程中可能增加暴露的物质，能够有效地评估NSE的安全性。当涉及到各自的暴露水平时，CoMSAS能够区分毒理学相关物质和毒理学相关性较低的物质。这将减少对低浓度检测到的未知物质进行鉴定、表征和安全评估所需的工作量，而无需使用动物研究进行毒性测试。在本文中，CoMSAS方法已应用于用于食品着色目的的接骨木果和南瓜NSEs。
