Spectral Analysis Review

Volume 6, Issue 2 (April 2018)

ISSN Print: 2331-2092   ISSN Online: 2331-2106

Google-based Impact Factor: 1.25  Citations  

Application of Near-Infrared Spectroscopy in Determination of Schaftoside Acid in Desmodium styracifolium (Osb.) Merr.

HTML  XML Download Download as PDF (Size: 1213KB)  PP. 33-42  
DOI: 10.4236/sar.2018.62003    1,565 Downloads   2,734 Views  Citations

ABSTRACT

The potential of Near Infrared Spectroscopy (NIRS) in quality control of Traditional Chinese Medicine has been evaluated. This study focuses on a rapid and non-destructive quantitative method for the determination of schaftoside acid content in Desmodium styracifolium by near-infrared spectroscopy. The schaftoside acid contents of 103 samples were determined by HPLC. The NIRS quantitative model of the ethanol extracts content was performed by partial least-squares (PLS) regression as linear regression with analysis values as calibration reference using 2nd derivative method as spectral preprocessing options. The model was verified by internal cross validation and external predictive validation with 22 Desmodium styracifolium samples. The correlation coefficients (r), the root-mean-square error of calibration (RMSEC), the root-mean-square error of prediction (RMSEP) and the root-mean-square error of cross-validation (RMSECV) of the calibration model for ethanol extracts content were 0.97201, 0.147, 0.162 and 0.433, respectively. The average recovery was 99.82%, and t-test showed that P > 0.5. Precision and repeatability RSD were 1.75% and 1.17%, RPD > 2.5. The data obtained from results showed that calibration model of NIRS was verified to be reliable, suggesting that the quantitative NIR models can be qualified to accurately quantify the ethanol extracts content of Desmodium styracifolium rapidly.

Share and Cite:

Tang, G. , Cao, Q. , Wang, D. and Ji, S. (2018) Application of Near-Infrared Spectroscopy in Determination of Schaftoside Acid in Desmodium styracifolium (Osb.) Merr.. Spectral Analysis Review, 6, 33-42. doi: 10.4236/sar.2018.62003.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.