Multivariate data analysis applied to spectroscopy: Potential application to juice and fruit quality

Food Research International

Volumn 44, Issue 7, 2011, Pages 1888-1896

  Cozzolino, D ^a   Cynkar, W U ^a   Shah, N ^a   Smith, P ^a  

^a AUSTRALIAN WINE RESEARCH INSTITUTE   (Australia)

Author keywords

Calibration; Fruits; Multivariate data analysis; Near infrared; Partial least squares; Spectroscopy

Indexed keywords

ANALYTICAL METHOD; CALIBRATION MODEL; CHEMICAL PARAMETERS; ELECTRONIC NOSE; FRUIT QUALITY; MODEL COEFFICIENT; MULTIVARIATE CALIBRATION; MULTIVARIATE DATA ANALYSIS; NEAR INFRARED; NIR SPECTRUM; PARTIAL LEAST SQUARES; POTENTIAL APPLICATIONS; PREDICTIVE ABILITIES; PREDICTOR VARIABLES; RAPID METHOD; REFERENCE METHOD; SAMPLE SELECTION; SPECTRAL DATA; SUGAR CONCENTRATION;

ARTIFICIAL ORGANS; CALIBRATION; DATA REDUCTION; ELECTRONIC TONGUES; FLUORESCENCE SPECTROSCOPY; FRUIT JUICES; FRUITS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; MULTIVARIABLE SYSTEMS; MULTIVARIANT ANALYSIS; SPECTRUM ANALYSIS; SUGARS;

CHEMICAL ANALYSIS;

EID: 79959955203     PISSN: 09639969     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodres.2011.01.041     Document Type: Article

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