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Rapid measurement of anthocyanin content in grape and grape Juice: Raman spectroscopy provides Non-destructive, rapid methods

文献类型： 外文期刊

作者： Gao, Zhen 1 ; Yang, Guiyan 2 ; Zhao, Xiande 2 ; Jiao, Leizi 2 ; Wen, Xuelin 2 ; Liu, Yachao 2 ; Xia, Xintao 2 ; Zhao, Chunjiang 1 ; Dong, Daming 2 ;

作者机构： 1.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China

2.Minist Agr & Rural Affairs, Key Lab Agr Sensors, Beijing 100097, Peoples R China

3.Beijing Acad Agr & Forestry Sci, Res Ctr Intelligent Equipment, Beijing 100097, Peoples R China

4.Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan 430070, Peoples R China

关键词： Raman Spectroscopy; Grapes; Grape Juice; Anthocyanin Content; Non-destructive Rapid Quantification

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：7.7； 五年影响因子：8.4 ）

ISSN： 0168-1699

年卷期： 2024 年 222 卷

页码：

收录情况： SCI

摘要： Anthocyanins in grapes exhibit potent antioxidant properties, contributing significantly to human health. Exploring rapid, non -destructive, and in -situ measurement techniques for anthocyanin content in grapes and grape juice is essential for assessing their nutritional and health benefits. Traditional methods, which often involve chemical assays requiring sample pre-treatment, are not suitable for measuring anthocyanins in intact grapes. In this study, we present a Raman spectroscopy-based method to quantify anthocyanins effectively. We developed a univariate linear regression model utilizing the intensity of the anthocyanin Raman characteristic peak and a multivariate linear regression (MLR) model combined with feature engineering. The univariate model achieved a coefficient of determination ( R 2 P ) of 0.8949 and a root mean square error of prediction (RMSEP) of 0.2881 mu mol/mg for grape skin. In contrast, the MLR model, optimized through Recursive Feature Elimination (RFE), showed superior accuracy with an R 2 P of 0.9800 and an RMSEP of 0.1151 mu mol/mg. For grape juice, which has a more complex composition, the RFE-MLR model yielded an R 2 P of 0.9764 and an RMSEP of 0.2393 mu mol/ ml. Overall, our findings confirm that Raman spectroscopy is an effective method for the rapid and accurate insitu measurement of anthocyanin content, offering a novel approach for on -site analysis in various fruits and their juices.

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