Establishment of near-infrared spectroscopy quantitative models for moisture and index components in Alismatis Rhizoma decoction pieces
10.3969/j.issn.1001-1528.2025.10.002
- VernacularTitle:泽泻饮片中水分、指标成分近红外光谱定量模型建立
- Author:
Xun LU
1
;
Zhe ZHANG
;
Geng-zhi ZHAN
;
Lu-yao CAI
;
Cun-yu LI
;
Yun-feng ZHENG
;
Tuan-jie WANG
;
Yu JIN
;
Guo-ping PENG
Author Information
1. 南京中医药大学药学院,江苏南京 210023;中药制药过程控制与智能制造技术全国重点实验室,江苏南京 210023
- Publication Type:Journal Article
- Keywords:
Alismatis Rhizoma;
decoction pieces;
moisture;
23-acetylalismol B;
23-acetylalismol C;
near-infrared spectroscopy(NIRS);
quantitative models
- From:
Chinese Traditional Patent Medicine
2025;47(10):3184-3190
- CountryChina
- Language:Chinese
-
Abstract:
AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.
