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Spatially offset Raman spectroscopy: A convenient and rapid tool to distinguish cheese made with milks from different animal species
Journal of Raman Spectroscopy ( IF 2.4 ) Pub Date : 2021-08-19 , DOI: 10.1002/jrs.6179
Saeideh Ostovar pour 1 , Roya Afshari 1 , Jeremy Landry 1 , Christopher Pillidge 1 , Harsharn Gill 1 , Ewan Blanch 1
Affiliation  

Authenticity is of great importance in the food industry. There is a need for rapid, reliable methods that can ‘fingerprint’ foods and show their composition. In this study, we trialled spatially offset Raman spectroscopy (SORS) as a convenient method to distinguish between cheeses of different animal origins. SORS is a rapid non-destructive method that can be applied to food products in various packaging materials such as plastic. The technique also has the capability to monitor larger volume of sample in contrast with conventional Raman spectroscopy. Eight cheese products were examined in relation to, and discrimination between them was based upon, protein and fat content, phospholipids and carotenoids. Chemometrics analysis further enabled differentiation of even closely related cheese types. SORS has great potential as a rapid, real-time tool for screening of foods for authenticity, and in the future, this could be extended to monitoring for food quality targeting specific molecules.

中文翻译:

空间偏移拉曼光谱:一种方便快捷的工具,用于区分用不同动物种类的牛奶制成的奶酪

真实性在食品工业中非常重要。需要能够“指纹”食物并显示其成分的快速、可靠的方法。在这项研究中,我们试用了空间偏移拉曼光谱 (SORS) 作为区分不同动物来源的奶酪的便捷方法。SORS 是一种快速无损的方法,可应用于塑料等各种包装材料中的食品。与传统的拉曼光谱相比,该技术还能够监测更大体积的样品。对八种奶酪产品进行了检查,并根据蛋白质和脂肪含量、磷脂和类胡萝卜素对其进行区分。化学计量学分析进一步能够区分甚至密切相关的奶酪类型。SORS 作为一种快速、
更新日期:2021-10-13
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