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Rapid monitoring of black tea fermentation quality based on a solution-phase sensor array combined with UV-visible spectroscopy by Luqing Li; Menghui Li; Qingqing Cui; Ying Liu; Yuyu Chen; Yujie Wang; Zhengzhu Zhang; Quansheng Chen; Jingming Ning is a Agricultural and Biological Sciences article available to read on EtoBox.
What is Rapid monitoring of black tea fermentation quality based on a solution-phase sensor array combined with UV-visible spectroscopy about?
A C T Rapid monitoring of fermentation quality has been the key to realizing the intelligent processing of black tea. In our study, mixing ratios, sensing array components and reaction times were optimized before an optimal solution phase colorimetric sensor array was constructed. The characteristic spectral information of the array was obtained by UV-visible spectroscopy and subsequently combined with machine learning algorithms to construct a black tea fermentation quality evaluation model. The competitive adaptive reweighting algorithms (CARS)support vector machine model discriminated the black tea fermentation degree with 100% accuracy. For quantification of catechins and four theaflavins (TF, TFDG, TF-3-G, and TF-3 ′ -G), the correlation coefficients of the CARS least square support vector machine model prediction set were 0.91, 0.86, 0.76, 0.72 and 0.79, respectively. The results obtained within 2 min enabled accurate monitoring of the fermentation quality of black tea, which provides a new method and idea for intelligent black tea processing.
Who reads Rapid monitoring of black tea fermentation quality based on a solution-phase sensor array combined with UV-visible spectroscopy?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- Luqing Li; Menghui Li; Qingqing Cui; Ying Liu; Yuyu Chen; Yujie Wang; Zhengzhu Zhang; Quansheng Chen; Jingming Ning
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Agricultural and Biological Sciences (Life Sciences)