Rapid and Simultaneous Analysis of Five Free Anthraquinone Contents in Rhubarb during the Stir‑Frying with Rice Wine Process by Near Infrared Reflectance Spectroscopy
Xingyi Chen2, Jintao Xue3, Weiying Wang2, Bihua Ma2, Guo Huang4, Yu Chen5, Liming Ye2★★ Corresponding author
- 1Department of Pharmaceutical Analysis, West China School of Pharmacy, Sichuan University, China.
- 2Department of TCM, School of Pharmacy, Xinxiang Medical University, Henan, China.
- 3Department of Application, Sichuan Vspec Technologies Co., Ltd., School of Pharmacy, Sichuan University, China.
- 4Department of Pharmacy, West China Hospital, Sichuan University, Sichuan, China.
CORRESPONDENCE
Liming Ye
Department of TCM, School of Pharmacy, Xinxiang Medical University, Henan, China.
Received: 10-11-2018; Revised: 17-12-2018.
Volume 15, Issue 63 · pp. 479–486 · PUBLISHED 16 May 2019 · DOI: 10.4103/pm.pm_562_18
ABSTRACT
Objective: In this study, near infrared reflectance (NIR) spectroscopy was used to develop a new method for the rapid online analysis of five free anthraquinones (aloe‑emodin, rhein, emodin, chrysophanol, and physcion) during the stir‑frying process for rhubarb. Materials and Methods: With partial least‑squares (PLSs) and artificial neural networks (ANN) regression, calibration models were generated based on five free anthraquinone contents, as measured by high‑performance liquid chromatography. Results: The results indicated that the 2 types of models were robust, accurate, and repeatable for five free anthraquinones. Moreover, PLS as the linear model was more suitable for developing the NIR models of the five free anthraquinones than ANN. The performance of the optimal models was achieved as follows: the coefficient of determination for prediction (R2 pre) for aloe‑emodin, rhein, emodin, chrysophanol, and physcion was 0.9161, 0.9699, 0.9655, 0.9611, and 0.9724, respectively; the root mean square error of prediction was 0.0251, 0.0445, 0.3333, 0.0862, and 0.0211, respectively. Conclusion: The established NIR models could apply to determine the content of five free anthraquinones in rhubarb. This work demonstrated that NIR may be an effective online analysis method to reflect the quality of TCM industrial manufacturing processes.
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Chen, X., Xue, J., Wang, W., Ma, B., Huang, G., Chen, Y., & Ye, L. (2019). Rapid and Simultaneous Analysis of Five Free Anthraquinone Contents in Rhubarb during the Stir‑Frying with Rice Wine Process by Near Infrared Reflectance Spectroscopy. Pharmacognosy Magazine, 15(63), 479–486. https://doi.org/10.4103/pm.pm_562_18