Robust partial least squares model for prediction of green tea antioxidant capacity from chromatograms

Journal of Chromatography A

Volumn 1176, Issue 1-2, 2007, Pages 12-18

  Daszykowski, M ^a   Vander Heyden, Y ^b   Walczak, B ^a  

^a UNIVERSITY OF SILESIA   (Poland)

^b VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

Chemometrics; Fingerprints; Outliers; Partial robust M regression; Robust PLS

Indexed keywords

CALIBRATION; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; ROBUST CONTROL; SILICA;

CHEMOMETRICS; FINGERPRINTS; OUTLIERS; PARTIAL ROBUST M-REGRESSION; ROBUST PLS;

BEVERAGES;

GREEN TEA EXTRACT;

ANTIOXIDANT ACTIVITY; ARTICLE; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; MATHEMATICAL MODEL; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL;

ANTIOXIDANTS; CALIBRATION; CHROMATOGRAPHY, HIGH PRESSURE LIQUID; LEAST-SQUARES ANALYSIS; MODELS, THEORETICAL; TEA;

EID: 36549019452     PISSN: 00219673     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chroma.2007.10.100     Document Type: Article

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