Rapid and simultaneous analysis of five alkaloids in four parts of Coptidis Rhizoma by near-infrared spectroscopy
| Autor: | Zhang Minxiang, Xue Jintao, Wang Weiying, Li Peng, Li Chunyan, Liu Yufei, Yang Quanwei, Jing Yun, Ye Liming |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Jatrorrhizine
Coptisine Coptis chinensis Correlation coefficient 02 engineering and technology Stem-and-leaf display 01 natural sciences Analytical Chemistry chemistry.chemical_compound Berberine Alkaloids Linear regression Partial least squares regression Least-Squares Analysis Instrumentation Spectroscopy Chromatography High Pressure Liquid Chromatography Spectroscopy Near-Infrared 010401 analytical chemistry Reproducibility of Results Palmatine Reference Standards 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics 0104 chemical sciences chemistry Linear Models Neural Networks Computer 0210 nano-technology Drugs Chinese Herbal |
| Zdroj: | Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. 188 |
| ISSN: | 1873-3557 |
| Popis: | Near-Infrared Spectroscopy (NIRS) was first used to develop a method for rapid and simultaneous determination of 5 active alkaloids (berberine, coptisine, palmatine, epiberberine and jatrorrhizine) in 4 parts (rhizome, fibrous root, stem and leaf) of Coptidis Rhizoma. A total of 100 samples from 4 main places of origin were collected and studied. With HPLC analysis values as calibration reference, the quantitative analysis of 5 marker components was performed by two different modeling methods, partial least-squares (PLS) regression as linear regression and artificial neural networks (ANN) as non-linear regression. The results indicated that the 2 types of models established were robust, accurate and repeatable for five active alkaloids, and the ANN models was more suitable for the determination of berberine, coptisine and palmatine while the PLS model was more suitable for the analysis of epiberberine and jatrorrhizine. The performance of the optimal models was achieved as follows: the correlation coefficient (R) for berberine, coptisine, palmatine, epiberberine and jatrorrhizine was 0.9958, 0.9956, 0.9959, 0.9963 and 0.9923, respectively; the root mean square error of validation (RMSEP) was 0.5093, 0.0578, 0.0443, 0.0563 and 0.0090, respectively. Furthermore, for the comprehensive exploitation and utilization of plant resource of Coptidis Rhizoma, the established NIR models were used to analysis the content of 5 active alkaloids in 4 parts of Coptidis Rhizoma and 4 main origin of places. This work demonstrated that NIRS may be a promising method as routine screening for off-line fast analysis or on-line quality assessment of traditional Chinese medicine (TCM). |
| Databáze: | OpenAIRE |
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