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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiao-Li Liu Hua Li |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Environmental Science and Engineering, Chang'an University, Xi'an, China, 710054 (Xiao-Li Liu) || Institute of Analytical Science, Northwest University, Xi'an, China, 710069 (Hua Li) |
| Abstract | NIR spectroscopy technique was attempted to measure amlodipine besylate powder in this work. The HPLC method was assumed to provide the reference value of the analyte for calibration. Partial least-squares (PLS) multivariate calibrations was used to build models between the NIR spectra and concentrations of amlodipine besylate. The number of PLS factors and the spectral preprocessing methods were optimised simultaneously by cross-validation in the model calibration. The performance of the final model was evaluated according to root mean square error of cross-validation (RMSECV), root mean square error of prediction (RMSEP), correlation coefficient of calibration set (Rc) and prediction set (Rp). The results of final model were achieved as follows: RMSECV=0.224, RMSEP=0.233, Rc=0.9741 and Rp=0.9687. This work demonstrated that NIR spectroscopy with PLS algorithm could be used to analyse amlodipine besylate powder. |
| Starting Page | 874 |
| Ending Page | 877 |
| File Size | 113101 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424495740 |
| e-ISBN | 9781424495771 |
| DOI | 10.1109/ICAE.2011.5943928 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spectroscopy Powders Correlation Predictive models Amlodipine besylate Calibration Root mean square NIR spectroscopy Pharmaceuticals Partial least-squares |
| Content Type | Text |
| Resource Type | Article |
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