Suppr超能文献

利用拉曼光谱和化学计量分析鉴别乳制奶油和类奶油类似物的可行性

Feasibility of discrimination of dairy creams and cream-like analogues using Raman spectroscopy and chemometric analysis.

作者信息

Nedeljkovic Aleksandar, Tomasevic Igor, Miocinovic Jelena, Pudja Predrag

机构信息

Animal Source Food Technology Department, University of Belgrade, Faculty of Agriculture, Nemanjina 6, 11080 Belgrade, Serbia.

Animal Source Food Technology Department, University of Belgrade, Faculty of Agriculture, Nemanjina 6, 11080 Belgrade, Serbia.

出版信息

Food Chem. 2017 Oct 1;232:487-492. doi: 10.1016/j.foodchem.2017.03.165. Epub 2017 Apr 3.

Abstract

Dairy cream and its analogues with sunflower oil, coconut oil and palm oil in different milk fat/vegetable fat ratios were prepared and analysed using Raman spectroscopy. The linear discriminant analysis was conducted in order to classify the samples. Samples were well separated and displayed distinguishing linear arrangement along the principal component that expressed the variation in lipid unsaturation. Good separation of sunflower oil and milk fat samples was obtained in contrast to the samples with coconut and palm oil, where the substantial overlapping occurred. The method permitted classifying of the samples in terms of the type of fat used. Calibrated model was extremely sensitive (100%) for dairy cream. The results indicated that it is possible to consider the Raman spectroscopy coupled with chemometric analysis as a rapid way for the detection of dairy cream adulteration with sunflower, coconut and palm oils.

摘要

制备了含有不同乳脂肪/植物油比例的、分别以向日葵油、椰子油和棕榈油为原料的乳脂及其类似物,并采用拉曼光谱法进行分析。进行线性判别分析以对样品进行分类。样品得到了很好的分离,并沿表示脂质不饱和度变化的主成分呈现出明显的线性排列。与含有椰子油和棕榈油的样品大量重叠形成对比的是,向日葵油和乳脂肪样品得到了很好的分离。该方法能够根据所使用的脂肪类型对样品进行分类。校准模型对乳脂的灵敏度极高(100%)。结果表明,可将拉曼光谱法与化学计量分析相结合,作为一种快速检测乳脂中掺有向日葵油、椰子油和棕榈油的方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验