短瓣金莲花指标成分的红外光谱快速分析

doi:10.3964/j.issn.1000-0593(2019)11-3624-05

Abstract
References
Related Citation (15)

Download: PDF (586 KB)
Export: BibTeX | EndNote (RIS)

Abstract Combined with chemometrics methods, rapid quantitative analysis of the quality control components of Trollius ledebouri was developed by modern infrared spectroscopy. The reference data of the representative components, orientin and vitexin, were obtained by HPLC method, and the infrared spectra were obtained by Fourier transform infrared spectroscopy. On this basis, the index components were correlated with the infrared spectra data by chemometrics methods, and the fast prediction models of the index components were established. Thirty-six extracts of Trollius ledebouri were obtained by room temperature extraction, heating reflux and ultrasound-assisted extraction with different ratios of methanol-water as solvent. The contents of orientin and vitexin in the extracts of Trollius ledebouri were determined by HPLC method, and the infrared spectra of the samples were measured by Fourier transform infrared spectroscopy (FTIR) aided by horizontal attenuated total reflectance (HATR) accessory. TQ Analyst EZ Edition software was used to establish the models, in which 29 extract samples were as test set and the rest as calibration set. Cross validation correlation coefficient (R²) and cross validation error mean square root (RMSEC) were used as indexes to select spectral pretreatment method, quantitative analysis method and modeling wave range, and root mean square error of prediction (RMSEP) was used to evaluate the prediction effect of the model. The optimized spectral pretreatment methods were standard normal distribution verification (SNV) correction and second derivative (13-point smoothing) of standard normal distribution. The quantitative analysis method was PLS. And the optimal wave range of orientin and vitexin were 2 050~650 and 1 900~650 cm^-1, respectively. The correlation coefficients of orientin and vitexin models constructed by PLS method were 0.919 8 and 0.970 8, respectively. The relative deviations of the predicted results were -2.0%~3.2% and -3.4%~4.7%, respectively. Since the possessing has unique advantages, such as rapid measurement, fingerprint characteristics, qualitative and quantitative analysis, being environment friendly, the infrared spectroscopy can be used to indicate the representative ingredients of Chinese herbal extracts quickly, accurately, environment friendly and efficiently, thus providing a new idea and a feasible solution for the quality control of traditional Chinese herbal medicines.

Key words：Infrared spectroscopy; Fast analysis; Trollius ledebouri Reichb; Orientin; Vitexin

Received: 2018-09-28 Accepted: 2019-01-06

ZTFLH:

O657.3

Corresponding Authors: ZHANG Yan-ling E-mail: zhylthu@126.com

Cite this article:

URL:

http://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2019)11-3624-05 OR http://www.gpxygpfx.com/EN/Y2019/V39/I11/3624

[1] Yuan Ming, Wang Ru-feng, Wu Xiu-wen, et al. Chinese Journal of Natural Medicines, 2013, 11(5): 449.
[2] LEI Rong, FENG Li, LIU Yong-li, et al(雷蓉, 冯丽, 刘永利, 等). Journal of Chinese Medicinal Materials(中药材), 2015, 38(5): 1085.
[3] Liu Y P, Tong J M, Li P, et al. The Journal of International Medical Research, 2018, 46(4): 1380.
[4] FAN Zhao-sheng, CHENG Jia, WANG Li-jun, et al(樊肇胜, 程佳, 王利军, 等). Food Science(食品科学), 2014, 35(17): 12.
[5] Song Zhiling, Hashi Yuki, Sun Hongyang, et al. Fitoterapia, 2013, 91(8): 272.
[6] Liao Man, Cheng Xiaoye, Zhang Xia, et al. Journal of Chromatographic Science, 2018, 56(7): 619.
[7] Wu Lizhen, Zhang Xiaopo, Xu Xudong, et al. Journal of Pharmaceutical and Biomedical Analysis, 2013, 75(5): 55.
[8] ZHANG Dong-qing, ZHANG Yan-ling, DONG Alideertu, et al(张冬青, 张艳玲, 董阿力德尔图, 等). Chinese Traditional Patent Medicine(中成药), 2016, 38(11): 2448.
[9] REN Xiao-lei, HUO Jin-hai, WEI Wen-feng, et al(任晓蕾, 霍金海, 魏文峰, 等). Journal of Chinese Medicinal Materials(中药材), 2015, 38(6): 1220.
[10] Sun Suqin, Zhou Qun, Chen Jianbo. Infrared Spectroscopy for Complex Mixtures-Application in Food and Traditional Chinese Medicine. Beijing: Chemical Industry Press, 2011. 9.
[11] CHU Xiao-li(褚小立). Molecular Spectroscopy Analytical Technology Combined with Chemometrics and its Applications(化学计量学方法与分子光谱分析技术). Beijing: Chemical Industry Press(北京: 化学工业出版社), 2011. 31.
[12] YU Yang, LI Jun, LI Bao-guo(于洋, 李军, 李宝国). Chinese Traditional Patent Medicine(中成药), 2018, 40(5): 1139.
[13] WU Zhe, ZHANG Ji, ZUO Zhi-tian, et al(吴喆, 张霁, 左智天, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2018, 38(4): 1101.
[14] Yu X H, Xia P F, Li D, et al. Chinese Journal Modern Applied Pharmacy(中国现代应用药学), 2014, 35(17): 1016.
[15] Chen J B, Sun S Q, Zhou Q. Analytical Methods, 2016, 8(47): 8329.