| Issue |
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|
|
|---|---|---|
| Article Number | 02020 | |
| Number of page(s) | 5 | |
| Section | BFS2020-Biotechnology and Food Science | |
| DOI | https://doi.org/10.1051/e3sconf/202123302020 | |
| Published online | 27 January 2021 | |
Rapid quantification of epigoitrin in the extraction process of Radix Isatidis using near infrared spectroscopy
1 Institute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
2 College of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
3 School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China
* Corresponding author: shkyan@126.com
Near-infrared Spectroscopy (NIR) is widely accepted as an efficient technology for process control in the production of traditional Chinese medicine (TCM). This study was to establish a NIR-based approach to determining epigoitrin of Radix Isatidis during temperature-controlled extraction process. 86 extracts of Radix Isatidis were prepared in 50 °C water for 4 hours, and were randomly divided into validation set and calibration set. The concentration of epigoitrin of each sample was determined by HPLC/UV, and correspondingly NIR spectra of those samples were also acquired. Partial least square (PLS) algorithm was utilized to develop a predictive model on NIR spectra data and contents of epigoitrin in samples of calibration set. The model displays good performance with acceptable values of SECV, SEC, LV and R2, and it was applied to predict the concentration of epigoitrin in samples of validation set from their NIR data. As a result, the model produced accurate result with little deviation between predicted values and experimental values. The proposed NIR method is expected to be developed as a promising approach for process control in TCM production.
© The Authors, published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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