A novel fingerprint method for quality evaluation of Chinese medicinal plants based on analytical data visualization / 中国中药杂志
China Journal of Chinese Materia Medica
; (24): 97-100, 2002.
Article
en Zh
| WPRIM
| ID: wpr-275003
Biblioteca responsable:
WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To investigate new method for evaluating the quality of Chinese Medicinal Plants (CMP).</p><p><b>METHOD</b>A visualization technique for representing instrumental analytical data was developed by applying the fundamental of Data Visualization, with Principal Component Analysis (PCA) and spatial projection transformation, original IR spectral data were projected into a low-dimensional subspace so that the dimensionality of original data space was decreased and tiny fingerprint features were extracted. The data set in the subspace was visualized by means of two-dimensional grayscale images. Consequently, the characteristic fingerprint for appraising the quality of CMP was obtained.</p><p><b>RESULT</b>42 mulberry root-bark samples from three different quality classes were identified with the proposed method, which showed that the fingerprint images had satisfactory resolution and classification accuracy as high as 90.5%.</p><p><b>CONCLUSION</b>The proposed method is a useful technique for appraising the quality of CMP.</p>
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Plantas Medicinales
/
Control de Calidad
/
Espectrofotometría Infrarroja
/
Algoritmos
/
Química
/
Contaminación de Medicamentos
/
Análisis de Componente Principal
/
Morus
Tipo de estudio:
Prognostic_studies
Idioma:
Zh
Revista:
China Journal of Chinese Materia Medica
Año:
2002
Tipo del documento:
Article