Development of a time-resolved laser-induced fluorescence fingerprinting method for detecting low-level adulteration in extra virgin olive oil

IF 9.8 1区 农林科学 Q1 CHEMISTRY, APPLIED Food Chemistry Pub Date : 2025-02-15 Epub Date: 2024-11-18 DOI:10.1016/j.foodchem.2024.142125
Te Ma , Hao Jiang , Satoru Tsuchikawa , Tetsuya Inagaki
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Abstract

Adulteration identification in extra virgin olive oil (EVOO) is a significant concern in the olive oil industry. This study aimed to detect low-level adulteration of EVOO with other edible oils by using a novel time-resolved laser-induced fluorescence (TRLIF) fingerprinting method. Five EVOO brands were first analyzed to assess its potential for classification based on their differing fluorophore content. The developed method effectively reduces the effects associated with the optical path length and excitation light intensity. Subsequently, three sets of binary mixtures were tested: EVOO adulterated with refined olive oil, soybean oil, and sunflower oil. Quantitative analysis was performed using parallel factor analysis, which achieved a cross-validation coefficient of determination (R2) exceeding 0.90, with a prediction error < 1.40 %. These findings demonstrate that this method has the potential to determine the purity and quality of EVOO.
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开发一种用于检测特级初榨橄榄油中低水平掺假的时间分辨激光诱导荧光指纹方法
特级初榨橄榄油(EVOO)的掺假鉴定是橄榄油行业的一个重大问题。本研究旨在使用一种新型的时间分辨激光诱导荧光(TRLIF)指纹图谱方法检测特级初榨橄榄油与其他食用油的低水平掺假。首先分析了五个品牌的浓缩橄榄油,以评估根据其不同的荧光团含量进行分类的可能性。所开发的方法有效地减少了与光路长度和激发光强度相关的影响。随后,对三组二元混合物进行了测试:掺有精炼橄榄油、大豆油和葵花籽油的二元混合油。采用平行因子分析法进行定量分析,交叉验证确定系数(R2)超过 0.90,预测误差为 1.40%。这些研究结果表明,该方法具有测定极性氧化橄榄油纯度和质量的潜力。
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来源期刊
Food Chemistry
Food Chemistry 工程技术-食品科技
CiteScore
16.30
自引率
10.20%
发文量
3130
审稿时长
122 days
期刊介绍: Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.
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