Predicting the age and type of tuocha tea by fourier transform infrared spectroscopy and chemometric data analysis

Journal of Agricultural and Food Chemistry

Volumn 59, Issue 19, 2011, Pages 10461-10469

  Xu, Lu ^a   Deng, De Hua ^a   Cai, Chen Bo ^b  

^a ANYANG NORMAL UNIVERSITY   (China)

^b CHUXIONG NORMAL UNIVERSITY   (China)

Author keywords

age; brick tea; FTIR; multivariate calibration; pattern recognition

Indexed keywords

AGE; BRICK TEA; CALIBRATION MODEL; CHEMOMETRIC DATA ANALYSIS; CHEMOMETRICES; DATA PREPROCESSING; FOURIER TRANSFORM INFRARED; FT-IR SPECTRUM; FTIR; MULTIVARIATE CALIBRATION; MULTIVARIATE METHODS; NEUTRAL NETWORK; PARTIAL LEAST SQUARES; SAMPLE PREPARATION; SCATTERING EFFECTS; SENSITIVITY AND SPECIFICITY; SPECTRAL VARIATION; STANDARD NORMAL VARIATES; TEA SAMPLES; YUNNAN PROVINCE;

CALIBRATION; DATA REDUCTION; DISCRIMINANT ANALYSIS; FORECASTING; MATHEMATICAL TRANSFORMATIONS; MULTIVARIABLE SYSTEMS; PATTERN RECOGNITION;

FOURIER TRANSFORM INFRARED SPECTROSCOPY;

ARTICLE; CHEMISTRY; CHINA; CLASSIFICATION; DISCRIMINANT ANALYSIS; FERMENTATION; INFRARED SPECTROSCOPY; PLANT LEAF; REGRESSION ANALYSIS; TEA; TIME;

CAMELLIA SINENSIS; CHINA; DISCRIMINANT ANALYSIS; FERMENTATION; LEAST-SQUARES ANALYSIS; PLANT LEAVES; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; TEA; TIME FACTORS;

EID: 80053550982     PISSN: 00218561     EISSN: 15205118     Source Type: Journal    
DOI: 10.1021/jf2026499     Document Type: Article

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