Abstract：In china，researches on Raman spectroscopy in terms of foodstuff mainly focus on carbohydrates, fatty acids, proteins and vitamins. Conventional methods for determining the carotenoids content require the extraction of the samples as well as other cleanup steps. In this work，Raman spectroscopy is applied to get the measured value form loquats with different mature stage which are compared with the reference value get from High Performance Liquid Chromatography (HPLC)，in order to find new，fast，and nondestructive calibration methods for quantification of β-carotene content in loquat fruits. Least Squares Support Vector Machine and Partial least squares data processing methods are used to analyze the Raman spectra while PLS model has a prediction quality with the correlation coefficient of 0.845; the root-mean-square error of 0.022 μg·g-1 and LS-SVM model has a better prediction quality with the correlation coefficient of 0.910 with the root-mean-square error of 0.058 μg·g-1.
王 涛，裘正军*，张卫正，赵艳茹，何 勇. 基于拉曼光谱技术的枇杷果实β-胡萝卜素含量无损测定研究[J]. 光谱学与光谱分析, 2016, 36(11): 3572-3577.
WANG Tao, QIU Zheng-jun*, ZHANG Wei-zheng, ZHAO Yan-ru, HE Yong. Study on Non-Detective Determination of β-Carotene Content in Loquats with Raman Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(11): 3572-3577.
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