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Development of Simple Identification Models for Four Main Catechins and Caffeine in Fresh Green Tea Leaf Based on Visible and Near-infrared Spectroscopy by Huang, Yifeng; Dong, Wentao; Sanaeifar, Alireza; Wang, Xiaoming; Luo, Wei; Zhan, Baishao; Liu, Xuemei; Li, Ruili; Zhang, Hailiang; Li, Xiaoli is a Agricultural and Biological Sciences article available to read on EtoBox.
What is Development of Simple Identification Models for Four Main Catechins and Caffeine in Fresh Green Tea Leaf Based on Visible and Near-infrared Spectroscopy about?
Catechin polyphenols and caffeine play an important role in tea quality. This study analyzed the visible and nearinfrared (Vis-NIR) spectral variation and concentration differences of catechin and caffeine of fresh tea leaves (Camellia sinensis L.) in three varieties and six leaf positions, and a universal spectral model for quickly and accurately measurement of the catechin and caffeine content in the various varieties and leaf positions was established. It was found that all the catechins and caffeine were significantly influenced by variety and leaf position. While, the Vis/NIR spectrum as an indication of internal biochemical substances was successfully used to distinguish different varieties and leaf positions with the discrimination accuracy rates of 98.15% and 100%, respectively. The quantitative relationship between the chemical components and the data obtained by Vis-NIR spectroscopy was established based on multivariate regression analysis such as partial least squares (PLS) and multiple linear regression (MLR). Furthermore, competitive adaptive reweighted sampling (CARS) and successive projections algorithm (SPA) were used to select the characteristic wavelengths for the
Who reads Development of Simple Identification Models for Four Main Catechins and Caffeine in Fresh Green Tea Leaf Based on Visible and Near-infrared Spectroscopy?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- Huang, Yifeng; Dong, Wentao; Sanaeifar, Alireza; Wang, Xiaoming; Luo, Wei; Zhan, Baishao; Liu, Xuemei; Li, Ruili; Zhang, Hailiang; Li, Xiaoli
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0168-1699)
- Published
- 2020
- Language
- EN
- Field
- Agricultural and Biological Sciences (Physical Sciences)