Non-destructive determination of total polyphenols content and classification of storage periods of Iron Buddha tea using multispectral imaging system.
Food Chem
; 176: 130-6, 2015 Jun 01.
Article
em En
| MEDLINE
| ID: mdl-25624215
ABSTRACT
Total polyphenols is a primary quality indicator in tea which is consumed worldwide. The feasibility of using near infrared reflectance (NIR) spectroscopy (800-2500nm) and multispectral imaging (MSI) system (405-970nm) for prediction of total polyphenols contents (TPC) of Iron Buddha tea was investigated in this study. The results revealed that the predictive model by MSI using partial least squares (PLS) analysis for tea leaves was considered to be the best in non-destructive and rapid determination of TPC. Besides, the ability of MSI to classify tea leaves based on storage period (year of 2004, 2007, 2011, 2012 and 2013) was tested and the classification accuracies of 95.0% and 97.5% were achieved using LS-SVM and BPNN models, respectively. These overall results suggested that MSI together with suitable analysis model is a promising technology for rapid and non-destructive determination of TPC and classification of storage periods in tea leaves.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Chá
/
Espectroscopia de Luz Próxima ao Infravermelho
/
Polifenóis
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Food Chem
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
China