Evaluation of the value of near infrared (NIR) spectromicroscopy for the analysis of glycyrrizhic acid in licorice / 中国天然药物
Chinese Journal of Natural Medicines (English Ed.)
;
(6): 316-320, 2015.
Artigo
em Inglês
| WPRIM
| ID: wpr-812139
ABSTRACT
It has been reported that hyperspectral data could be employed to qualitatively elucidate the spatial composition of tablets of Chinese medicinal plants. To gain more insights into this technology, a quantitative profile provided by near infrared (NIR) spectromicroscopy was further studied by determining the glycyrrhizic acid content in licorice, Glycyrrhiza uralensis. Thirty-nine samples from twenty-four different origins were analyzed using NIR spectromicroscopy. Partial least squares, interval partial least square (iPLS), and least squares support vector regression (LS-SVR) methods were used to develop linear and non-linear calibration models, with optimal calibration parameters (number of interval numbers, kernel parameter, etc.) being explored. The root mean square error of prediction (RMSEP) and the coefficient of determination (R(2)) of the iPLS model were 0.717 7% and 0.936 1 in the prediction set, respectively. The RMSEP and R(2) of LS-SVR model were 0.515 5% and 0.951 4 in the prediction set, respectively. These results demonstrated that the glycyrrhizic acid content in licorice could barely be analyzed by NIR spectromicroscopy, suggesting that good quality quantitative data are difficult to obtain from microscopic NIR spectra for complicated Chinese medicinal plant materials.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Calibragem
/
Medicamentos de Ervas Chinesas
/
Análise dos Mínimos Quadrados
/
Química
/
Espectroscopia de Luz Próxima ao Infravermelho
/
Ácido Glicirrízico
/
Glycyrrhiza
/
Métodos
/
Microscopia
Tipo de estudo:
Estudo prognóstico
Idioma:
Inglês
Revista:
Chinese Journal of Natural Medicines (English Ed.)
Ano de publicação:
2015
Tipo de documento:
Artigo
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