Full
Outline
Based on Fourier transform infrared（FTIR）spectroscopy，to establish a quantitativemodel for the rapid detection of the active ingredients of Beichaihu（Bupleurum chinense DC.），achieve the prediction of the contents of unknown active ingredients of Beichaihu（Bupleurum chinense DC.）and provide amethodological basis for the rapid and nondestructive detection of the active ingredients of Chinese herbalmedicines.
FTIR spectroscopy was used to collect the infrared spectra of 54 samples of Beichaihu（Bupleurum chinense DC.）from different harvesting periods，and high performance liquid chromatography（HPLC）was used to determine the contents of saikosaponins A（Ss-a），saikosaponins D（Ss-d），saikosaponins C（Ssc）and saikosaponins F（Ss-f）in 54 samples of Beichaihu（Bupleurum chinense DC.），and the contents of these saponinswere counted as Ss-a，Ss-d，Ss-c and Ss-f. The content of total saikosaponins（Ss-s）of Beichaihu（Bupleurum chinense DC.）was analyzed using TQ analysis software，and the spectra were processed by chemometric methods partial least squares（PLS），stepwisemultiple linear regression（SMLR），multiple scattering correction（MSC），standard normal transformations（SNT），firstorder derivatives（1stDer），second-order derivatives（2ndDer）and SG convolutional smoothing and Norris derivative filtering（ND）andmodeling.
SMLR+SNT+2ndDer+SG was the best for the content determination of Ss-c and Ss-f，with the correlation coefficients of 0.836 5 and 0.832 5，and themean absolute deviations of -0.01% and -0.01%，respectively and SMLR+MSC+2ndDer+SG was the best for the content determination of Ss-a，Ss-d and Ss-s，with the correlation coefficients of 0.820 6，0.835 6 and 0.840 5，respectively，and the average absolute deviations were-0.08%，-0.19% and -0.20%，respectively.
The combination of FTIR spectroscopy and HPLC can achieve the rapid determination of the active ingredients of Beichaihu（Bupleurum chinense DC.）. This study provides a new method for the content detection of Chinese herbalmedicines，which can promote the quality of Chinese herbalmedicines to be stable and controllable to a certain extent.
35
14
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
