| Title: | A rapid aroma quantification method: Colorimetric sensor-coupled multidimensional spectroscopy applied to black tea aroma |
| Author(s): | Li M; Dong S; Cao S; Cui Q; Chen Q; Ning J; Li L; |
| Address: | "State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Tea Biology and Tea Processing of Ministry of Agriculture and Rural Affairs, International Joint Research Laboratory of Tea Chemistry and Health Effects of Ministry of Education,Anhui Provincial Laboratory, Hefei, 230036, Anhui, China. College of Ocean Food and Biological Engineering, Jimei University, Xiamen, 361021, China. State Key Laboratory of Tea Plant Biology and Utilization, Key Laboratory of Tea Biology and Tea Processing of Ministry of Agriculture and Rural Affairs, International Joint Research Laboratory of Tea Chemistry and Health Effects of Ministry of Education,Anhui Provincial Laboratory, Hefei, 230036, Anhui, China. Electronic address: lilq@ahau.edu.cn" |
| DOI: | 10.1016/j.talanta.2023.124622 |
| ISSN/ISBN: | 1873-3573 (Electronic) 0039-9140 (Linking) |
| Abstract: | "Aroma affects the quality of black tea, and the rapid evaluation of aroma quality is the key to realize the intelligent processing of black tea. A simple colorimetric sensor array coupled with a hyperspectral system was proposed for the rapid quantitative detection of key volatile organic compounds (VOCs) in black tea. Feature variables were screened based on competitive adaptive reweighted sampling (CARS). Furthermore, the performance of the models for VOCs quantitative prediction was compared. For the quantitative prediction of linalool, benzeneacetaldehyde, hexanal, methyl salicylate, and geraniol, the CARS-least-squares support vector machine model's correlation coefficients were 0.89, 0.95, 0.88, 0.80, and 0.78, respectively. The interaction mechanism of array dyes with VOCs was based on density flooding theory. The optimized highest occupied molecular orbital levels, lowest unoccupied molecular orbital energy levels, dipole moments, and intermolecular distances were determined to be strongly correlated with interactions between array dyes and VOCs" |
| Keywords: | Tea/chemistry Odorants/analysis Colorimetry *Camellia sinensis/chemistry *Volatile Organic Compounds/analysis Spectrum Analysis Coloring Agents Black tea aroma Colorimetric sensor array Density flooding theory Quantitative prediction; |
| Notes: | "MedlineLi, Menghui Dong, Shuai Cao, Shuci Cui, Qingqing Chen, Quansheng Ning, Jingming Li, Luqing eng Netherlands 2023/06/03 Talanta. 2023 Oct 1; 263:124622. doi: 10.1016/j.talanta.2023.124622. Epub 2023 May 5" |
