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本文通过时间相关单光子计数法,采用HORIBA Scientific时间分辨荧光光谱仪对食用植物油品种鉴别做了研究,结合DAS6和Origin Pro 8.5数据处理软件,实现对山茶油、花生油和葵花籽油的种类鉴别。通过非线性最小二乘法对数据进行拟合,从拟合优度x2和残差分布两个角度确定最佳的拟合方法,从而得到3种食用植物油的荧光寿命,结果发现,山茶油的平均荧光寿命最长,花生油的荧光寿命最短,而葵花籽油的荧光寿命与花生油的荧光寿命相差0.11 ns,并通过山茶油-花生油-葵花籽油混合油样进行了掺杂对比试验,从而证明了荧光寿命分析法识别植物油种类的方案具有可行性。此方法的优点在于利用荧光寿命分析法可以避免光源波动、外界杂散光的影响,因此荧光寿命分析法对植物油的种类鉴别表现出更好的检测精度和准确度,检测结果准确可靠,为植物油品种鉴别提供了一种新思路。
In this paper, the time-dependent single-photon counting method was used to study the identification of edible vegetable oil varieties by HORIBA Scientific time-resolved fluorescence spectrometer, and the identification of camellia oil, peanut oil and sunflower oil was realized by combining the data processing software DAS6 and Origin Pro 8.5. Fitting the data by non-linear least square method, and determining the best fitting method from two aspects of goodness of fit x2 and residual distribution, and obtaining the fluorescence lifetime of the three kinds of edible vegetable oils. It was found that the average of the camellia oil The longest fluorescence life, the shortest fluorescence lifetime of peanut oil, and the difference between the fluorescence life of sunflower oil and the fluorescence life of peanut oil was 0.11 ns, and the comparative experiment of doping with camellia oil-peanut oil-sunflower oil mixed oil showed that Fluorescence lifetime analysis method to identify plant oil species is feasible. The advantage of this method lies in that the method of fluorescence lifetime analysis can avoid the influence of light source fluctuation and external stray light, therefore, the fluorescence lifetime analysis method shows better detection accuracy and accuracy for the type identification of vegetable oil, the detection result is accurate and reliable, Identification provides a new idea.