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Rapid determination of puerarin by near-infrared spectroscopy during percolation and concentration process of puerariae lobatae radix
| Content Provider | Scilit |
|---|---|
| Author | Guangrui, Wan Jintao, Xue Quanwei, Yang Yun, Jing Yufei, Liu Chunyan, Li Jing, Yang Yanfang, Wu Peng, Li |
| Copyright Year | 2016 |
| Abstract | Background: Gegen (Puerariae Labatae Radix) is one of the important medicines in Traditional Chinese Medicine. The studies showed that Gegen and its preparation had effective actions for atherosclerosis. Objective: Near-infrared (NIR) was used to develop a method for rapid determination of puerarin during percolation and concentration process of Gegen. Materials and Methods: About ten batches of samples were collected with high-performance liquid chromatography analysis values as reference, calibration models are generated by partial least-squares (PLS) regression as linear regression, and artificial neural networks (ANN) as nonlinear regression. Results: The root mean square error of prediction for the PLS and ANN model was 0.0396 and 0.0365 and correlation coefficients $(r^{2}$) was 97.79% and 98.47%, respectively. Conclusions: The NIR model for the rapid analysis of puerarin can be used for on-line quality control in the percolation and concentration process. SUMMARY |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989793/pdf http://www.phcog.com/article.asp?issn=0973-1296;year=2016;volume=12;issue=47;spage=188;epage=192;aulast=Jintao;type=2 |
| Ending Page | 192 |
| Page Count | 5 |
| Starting Page | 188 |
| File Format | XHTML |
| ISSN | 09731296 |
| e-ISSN | 09764062 |
| DOI | 10.4103/0973-1296.186350 |
| Journal | Pharmacognosy Magazine |
| Issue Number | 47 |
| Volume Number | 12 |
| Language | English |
| Publisher | Medknow |
| Access Restriction | Open |
| Subject Keyword | Integrative and Complementary Medicine Artificial Neural Networks Gegen (puerariae Lobatae Radix) Near-infrared Spectroscopy Partial Least-squares Pharmacognosy Magazine, Volume 12, Issue 47 |
| Content Type | Text |
| Resource Type | Article |
| Subject | Drug Discovery Pharmaceutical Science |
