Correlation Engine 2.0
Clear Search sequence regions

Sizes of these terms reflect their relevance to your search.

This study evaluates the feasibility of near-infrared (NIR) spectroscopy combined with chemometrics as a fast and efficient technique to predict the polysaccharide content and antioxidant activity of Poria cocos. The reference values of polysaccharide content were determined by the phenol-sulfuric acid method, and the antioxidant activities were determined by the DPPH scavenge assay, FRAP scavenge assay and ABTS scavenge assay, respectively. The partial least squares regression algorithm was used to relate the spectra to the reference values. Various methods for spectra pretreatment and variable selection were optimized to improve the predictability and stability of the models. As a result, the best models yielded very satisfying results, of which the values of coefficients of determination were all >0.94, and the values of residual predictive deviation were all >4. Such results confirmed that the present method is robust and applicable, and thus has good potential for rapid quality evaluation of Poria cocos. Copyright © 2020 Elsevier B.V. All rights reserved.


Yuan Yi, Haimin Hua, Xuefen Sun, Ying Guan, Chao Chen. Rapid determination of polysaccharides and antioxidant activity of Poria cocos using near-infrared spectroscopy combined with chemometrics. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. 2020 Oct 15;240:118623

Expand section icon Mesh Tags

Expand section icon Substances

PMID: 32599484

View Full Text