激光生物学报, 2014, 23 (5): 472, 网络出版: 2015-07-20   

荧光光谱分析法在地沟油鉴别中的应用研究

Application of Fluorescence Spectrum Analysis in Identification of Waste Oil
作者单位
上海理工大学医疗器械与食品学院, 上海 200093
摘要
由于地沟油的成分含量复杂性和不定量性, 导致了现有的单一检测方法不能同时满足快速和准确的辨认。荧光光谱具有高灵敏度和分辨率的特性, 由此提出了一种利用荧光光谱快速检测食用油中是否掺有地沟油的新方法。将花生油分成7组, 每组油所含的地沟油的比例不同, 用220 nm到800 nm的激发和发射光检测各组样品油, 收集其荧光数据后做归一化处理进行分析。在荧光实验中, 特别是在365 nm和720 nm激发波长波段和434 nm发射波长波段, 样品油的荧光强度与所含地沟油的体积分数大小明显成反比, 当地沟油的体积分数大于5%时, 荧光强度的衰减更为明显。结果证明了荧光光谱法检测地沟油的可行性, 而且步骤更为简单。利用荧光光谱的非接触和高灵敏度的优势, 能够更为简便地检测到加入了5%以上地沟油的花生油。
Abstract
Fluorescence spectroscopy’s high sensitivity and resolution can be used as a new method to exam whether the edible vegetable oil mixed with waste oil. And it should meets more effective and rapid detection requirements. For waste oil contains complex components, and compared with the existing methods, fluorescence spectroscopy can both achieve accurately and rapidly detecting purposes. As a result, fluorescence spectrum can be used as a more accurate new way to detect waste oil. The peanut oil is divided into 7 groups with different proportion of waste oil. Each group contains different proportion from 0% to 100% of waste oil, respectively. Fluorescence spectrum experiment uses 220 nm to 800 nm different excitation and emission wavelengths to analyze each group of sample oil to collect real-time measurement data. In fluorescence spectrum experiment, about at the band at 365 nm and 720 nm excitation wavelength, and 434 nm emission wavelength, the oils ‘fluorescence peaks’ intensities are inversely proportional to the contents of the waste oils, particularly when the volume fraction of waste oils has been added more than 5%, the fluorescence intensities’ decline are significant. The result shows that fluorescence spectrum is more effective and its processes are simpler than other methods. The added volume fractions of waste oils have directly relation to the sample’s fluorescence intensity. By the advantages of fluorescence spectroscopy’s non-contact and high sensitivities, it can easily tells the difference between the pure peanut oil and the mixed oil with more than 5% of waste oil, which confirmed that it can be used as the basis to rapidly detect and determine whether other vegetable oil has incorporated with waste oil.

李昊, 陈明惠. 荧光光谱分析法在地沟油鉴别中的应用研究[J]. 激光生物学报, 2014, 23(5): 472. LI Hao, CHEN Minghui. Application of Fluorescence Spectrum Analysis in Identification of Waste Oil[J]. Acta Laser Biology Sinica, 2014, 23(5): 472.

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