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通过MCR-ALS和PLS对花生油掺假物进行鉴定和定量时,近红外光谱法与拉曼光谱法的比较。

Comparison of near infrared spectroscopy and Raman spectroscopy for the identification and quantification through MCR-ALS and PLS of peanut oil adulterants.

作者信息

Castro Rafael C, Ribeiro David S M, Santos João L M, Páscoa Ricardo N M J

机构信息

LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira Nº 228, 4050-313, Porto, Portugal.

LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira Nº 228, 4050-313, Porto, Portugal.

出版信息

Talanta. 2021 Aug 1;230:122373. doi: 10.1016/j.talanta.2021.122373. Epub 2021 Mar 29.

Abstract

Peanut oil is considered one of the best frying oils, and, consequently there is an increasing worldwide demand. This has led to adulteration practices with unhealthy, synthetic or less expensive oils which raises concerns related with public health safety. Therefore, there is a high need for rapid, versatile, low-cost and reliable analytical methods, such as vibrational spectroscopic techniques, capable of identifying and quantifying the respective adulteration. The objective of this work focused on the application of two different vibrational spectroscopic techniques (NIR and Raman spectroscopy) for the qualitative and quantitative analysis of two adulterants in pure peanut oil, namely corn oil and vegetable oil. For the quantitative analysis two chemometric methods, namely PLS and MCR-ALS, were compared while for the qualitative analysis only MCR-ALS was tested. The analysis of peanut oil adulteration was performed by adding each adulterant individually and also by blending the peanut oil with both adulterants simultaneously. A total of 69 samples were analyzed, which was comprised by two sets of 20 samples each containing just one adulterant and another set of 29 samples containing both adulterants. Several pre-processing techniques were tested. The qualitative analysis performed by MCR-ALS allowed the identification of all the adulterants using both NIR and Raman spectra, with correlation coefficients higher than 0.99. For the quantification, none of the chemometric methods as well as the vibrational spectroscopic techniques tested showed significant better results. Nonetheless, the determination coefficients and the relative percentage errors for the validation samples for most of the developed models were higher than 0.98 and lower than 15%, respectively. Concluding, MCR-ALS was capable of correctly extracting the spectral profiles of all the adulterants in very complex mixtures (as the pure spectra of the adulterants and peanut oil are very similar) and both MCR-ALS and PLS were able to quantify the adulteration with low RE. To the best of our knowledge, it was the first time that MCR-ALS was used for the qualitative analysis of peanut oil adulteration (with all adulterants added simultaneously) and MCR-ALS and PLS were compared for the quantification of peanut oil adulteration using both NIR and Raman spectroscopy.

摘要

花生油被认为是最佳的煎炸油之一,因此全球需求不断增加。这导致了用不健康、合成或价格较低的油进行掺假的行为,引发了与公共卫生安全相关的担忧。因此,迫切需要快速、通用、低成本且可靠的分析方法,如振动光谱技术,能够识别和量化各自的掺假情况。这项工作的目标集中在应用两种不同的振动光谱技术(近红外光谱和拉曼光谱)对纯花生油中的两种掺假物,即玉米油和植物油进行定性和定量分析。对于定量分析,比较了两种化学计量学方法,即偏最小二乘法(PLS)和多元曲线分辨-交替最小二乘法(MCR-ALS),而对于定性分析,仅测试了MCR-ALS。通过分别添加每种掺假物以及同时将花生油与两种掺假物混合来进行花生油掺假分析。总共分析了69个样品,其中包括两组各20个仅含一种掺假物的样品以及另一组29个含两种掺假物的样品。测试了几种预处理技术。由MCR-ALS进行的定性分析能够使用近红外光谱和拉曼光谱识别所有掺假物,相关系数高于0.99。对于定量分析,所测试的化学计量学方法以及振动光谱技术均未显示出明显更好的结果。尽管如此,大多数所开发模型的验证样品的测定系数和相对百分比误差分别高于0.98和低于15%。结论是,MCR-ALS能够在非常复杂的混合物中正确提取所有掺假物的光谱特征(因为掺假物和花生油的纯光谱非常相似),并且MCR-ALS和PLS都能够以低相对误差量化掺假情况。据我们所知,这是首次将MCR-ALS用于花生油掺假的定性分析(同时添加所有掺假物),并且比较了MCR-ALS和PLS用于使用近红外光谱和拉曼光谱对花生油掺假进行定量分析的情况。

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