Rapid identification of three varieties of Chrysanthemum with near infrared spectroscopy
Rev. bras. farmacogn
;
24(1): 33-37, Jan-Feb/2014. graf
Artigo
em Inglês
| LILACS
| ID: lil-710150
ABSTRACT
A total of 139 batches of Chrysanthemum samples were randomly divided into calibration set (92 batches) and prediction set (47 batches). The near infrared diffuses reflectance spectra of Chrysanthemum varieties were preprocessed by a first order derivative (D1) and autoscaling, and a modelwas built using partial least squares analysis. In this study, three Chrysanthemum varieties were identified, the accuracy rates in calibration sets of Dabaiju, Huju, and Xiaobaiju are 97.60, 96.65, and 94.70%, respectively; And 95.16, 86.11, and 93.46% accuracy rate in prediction sets was obtained. The research results demonstrate that the qualitative analysis can be conducted by machine learning combined with Near-Infrared Spectroscopy, which provides a new method for rapid and non-invasive identification of Chrysanthemum varieties.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Tipo de estudo:
Estudo diagnóstico
/
Estudo prognóstico
/
Pesquisa qualitativa
Idioma:
Inglês
Revista:
Rev. bras. farmacogn
Assunto da revista:
Farmácia
Ano de publicação:
2014
Tipo de documento:
Artigo
/
Documento de projeto
País de afiliação:
China
Instituição/País de afiliação:
West Anhui University/CN
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