激光诱导击穿光谱与紫外-可见-近红外吸收光谱检测特级初榨橄榄油掺假的比较研究。

IF 6 2区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Foods Pub Date : 2025-01-18 DOI:10.3390/foods14020321
Eleni Nanou, Marios Bekogianni, Theodoros Stamatoukos, Stelios Couris
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引用次数: 0

摘要

快速检测劣质和低价植物油的特级初榨橄榄油(EVOO)掺假对于保护消费者和橄榄油市场免受欺诈活动的影响至关重要,后者在过去几年中在全球范围内呈现出日益增长的趋势。本研究采用激光诱导击穿光谱(LIBS)和紫外-可见-近红外吸收光谱(UV-Vis-NIR)两种光谱技术,对同一组橄榄油样品进行了EVOO掺假检测。共研究了184份样品,包括40份EVOOs和144份与渣油、大豆油、玉米油和葵花籽油混合的二元混合物,其浓度从10%到90% w/w不等。利用线性判别分析(LDA)、支持向量机(SVMs)和逻辑回归(LR)对样品元素组成相关的LIBS发射数据和有机成分含量相关的UV-Vis-NIR吸收光谱分别和合并(即融合)进行分析。在所有情况下,都实现了非常高的预测准确性,在某些情况下达到了100%。目前的结果证明了这两种技术在高效和准确的橄榄油认证问题上的潜力,LIBS技术更适合,因为它可以更快地操作。
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Detection of Adulteration of Extra Virgin Olive Oil via Laser-Induced Breakdown Spectroscopy and Ultraviolet-Visible-Near-Infrared Absorption Spectroscopy: A Comparative Study.

The fast detection of Extra Virgin Olive Oil (EVOO) adulteration with poorer quality and lower price vegetable oils is important for the protection of consumers and the market of olive oil from fraudulent activities, the latter exhibiting an increasing trend worldwide during the last few years. In this work, two optical spectroscopic techniques, namely, Laser-Induced Breakdown Spectroscopy (LIBS) and UV-Vis-NIR absorption spectroscopy, are employed and are assessed for EVOO adulteration detection, using the same set of olive oil samples. In total, 184 samples were studied, including 40 EVOOs and 144 binary mixtures with pomace, soybean, corn, and sunflower oils, at various concentrations (ranging from 10 to 90% w/w). The emission data from LIBS, related to the elemental composition of the samples, and the UV-Vis-NIR absorption spectra, related to the organic ingredients content, are analyzed, both separately and combined (i.e., fused), by Linear Discriminant Analysis (LDA), Support Vector Machines (SVMs), and Logistic Regression (LR). In all cases, very highly predictive accuracies were achieved, attaining, in some cases, 100%. The present results demonstrate the potential of both techniques for efficient and accurate olive oil authentication issues, with the LIBS technique being better suited as it can operate much faster.

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来源期刊
Foods
Foods Immunology and Microbiology-Microbiology
CiteScore
7.40
自引率
15.40%
发文量
3516
审稿时长
15.83 days
期刊介绍: Foods (ISSN 2304-8158) is an international, peer-reviewed scientific open access journal which provides an advanced forum for studies related to all aspects of food research. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists, researchers, and other food professionals to publish their experimental and theoretical results in as much detail as possible or share their knowledge with as much readers unlimitedly as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Ÿ manuscripts regarding research proposals and research ideas will be particularly welcomed Ÿ electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material Ÿ we also accept manuscripts communicating to a broader audience with regard to research projects financed with public funds
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