Exploration of linear multivariate calibration techniques to predict the total antioxidant capacity of green tea from chromatographic fingerprints

Journal of Chromatography A

Volumn 1192, Issue 1, 2008, Pages 81-88

  Dumarey, M ^a   van Nederkassel, A M ^a   Deconinck, E ^a,b   Vander Heyden, Y ^a  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b DEPARTMENT OF PHARMACEUTICAL AND PHARMACOLOGICAL SCIENCES   (Belgium)

Author keywords

Fingerprints; Green tea; Multivariate calibration; Partial least squares; Principal components regression; Stepwise multiple linear regression

Indexed keywords

CHROMATOGRAPHIC ANALYSIS; FOOD PRODUCTS; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; REGRESSION ANALYSIS;

FINGERPRINTS; GREEN TEA; MULTIVARIATE CALIBRATION; PARTIAL LEAST SQUARES; PRINCIPAL COMPONENTS REGRESSION; STEPWISE MULTIPLE LINEAR REGRESSION;

PLANTS (BOTANY);

ACCURACY; ANTIOXIDANT ACTIVITY; ARTICLE; CALIBRATION; CHROMATOGRAPHY; COMPARATIVE STUDY; CORRELATION ANALYSIS; MULTIPLE LINEAR REGRESSION ANALYSIS; MULTIVARIATE ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REPRODUCIBILITY; SPECTROSCOPY; TEA;

ANTIOXIDANTS; CALIBRATION; CAMELLIA SINENSIS; LINEAR MODELS; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; TEA;

EID: 42649098556     PISSN: 00219673     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chroma.2008.03.052     Document Type: Article

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