ASSET Technology Centre, Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, Antrim, Northern Ireland, United Kingdom.
Food and Environmental Protection Laboratory, International Atomic Energy Agency, Vienna International Centre, PO Box 100, A-1400 Vienna, Austria.
Food Chem. 2021 Aug 15;353:128718. doi: 10.1016/j.foodchem.2020.128718. Epub 2020 Nov 29.
Fraud in the food supply system will be exacerbated by shortages caused by climate change and COVID-19's impact. The dried herbs market exemplifies complex supply chains attractive to criminals seeking financial gain. Real-time remote testing is achievable through development of globally accessible chemometric models for portable near infrared devices, deployed throughout supply chains. This study describes building of models for detection of oregano adulteration, on portable near infrared devices, and comparison to a laboratory-based Fourier-Transform Infrared spectroscopy method. 33/34 portable devices were able to correctly classify 5 out of 6 samples successfully with all adulterated samples being correctly classified following the use of appropriate transferability pre-processing routines. The devices native setup shows limited ability to perform a true screening of oregano using the setup offered. However modifications to the setup could in the future offer a solution that facilitates fit-for-purpose real time detection of adulterated samples within the supply chain.
食品供应系统中的欺诈行为将因气候变化和 COVID-19 影响造成的短缺而加剧。干草药市场就是一个例证，其供应链非常复杂，容易吸引犯罪分子谋取经济利益。通过为便携式近红外设备开发全球可访问的化学计量学模型，可以实现实时远程测试，该模型将部署在整个供应链中。本研究描述了在便携式近红外设备上检测牛至掺假的模型构建，并与基于实验室的傅里叶变换红外光谱法进行了比较。33/34 台便携式设备能够成功正确分类 6 个样本中的 5 个，所有掺假样本在使用适当的可转移性预处理例程后都被正确分类。设备的本机设置显示出使用所提供的设置进行真正的牛至筛选的能力有限。但是，对设置进行修改将来可能会提供一种解决方案，有助于在供应链中实时检测掺假样品的实际用途。
