文献类型：期刊文献

英文题名：Rapid monitoring of flavonoid content in sweet tea (Lithocarpus litseifolius (Hance) Chun) leaves using NIR spectroscopy

作者：Tian, Zhaoxia[1,2] Tan, Zifeng[1] Li, Yanjie[1] Yang, Zhiling[1]

第一作者：Tian, Zhaoxia

通信作者：Yang, ZL[1]

机构：[1]Chinese Acad Forestry, Res Inst Subtrop Forestry, 73 Daqiao Rd, Hangzhou 311400, Zhejiang, Peoples R China;[2]Nanjing Forestry Univ, Coll Forestry, Nanjing, Peoples R China

年份：2022

卷号：18

期号：1

外文期刊名：PLANT METHODS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000780757700001)】；

基金：The authors would like to appreciate the National Nature Science Foundation of China (32071785) for providing the financial support for this research.

语种：英文

外文关键词：Sweet tea; Flavonoids content; Near-infrared (NIR) spectroscopy; Partial least squares (PLS) model; Model calibration

摘要：Background Sweet tea, which functions as tea, sugar and medicine, was listed as a new food resource in 2017. Flavonoids are the main medicinal components in sweet tea and have significant pharmacological activities. Therefore, the quality of sweet tea is related to the content of flavonoids. Flavonoid content in plants is normally determined by time-consuming and expensive chemical analyses. The aim of this study was to develop a methodology to measure three constituents of flavonoids, namely, total flavonoids, phloridin and trilobatin, in sweet tea leaves using near-infrared spectroscopy (NIR). Results In this study, we demonstrated that the combination of principal component analysis (PCA) and NIR spectroscopy can distinguish sweet tea from different locations. In addition, different spectral preprocessing methods are used to establish partial least squares (PLS) models between spectral information and the content of the three constituents. The best total flavonoid prediction model was obtained with NIR spectra preprocessed with Savitzky-Golay combined with second derivatives (SG + D2) (R-P(2) = 0.893, and RMSEP = 0.131). For trilobatin, the model with the best performance was developed with raw NIR spectra (R-P(2) = 0.902, and RMSEP = 2.993), and for phloridin, the best model was obtained with NIR spectra preprocessed with standard normal variate (SNV) (R-P(2) = 0.818, and RMSEP = 1.085). The coefficients of determination for all calibration sets, validation sets and prediction sets of the best PLS models were higher than 0.967, 0.858 and 0.818, respectively. Conclusions The conclusion indicated that NIR spectroscopy has the ability to determine the flavonoid content of sweet tea quickly and conveniently.