Technology using near infrared spectroscopic and multivariate analysis to determine the soluble solids content of citrus fruit

Journal of Food Engineering

Volumn 143, Issue , 2014, Pages 17-24

  Wang, Aichen ^a   Xie, Lijuan ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Citrus fruit; Multiple linear regression; Near infrared spectroscopy; Online detection; Soluble solids content; Variable selection

Indexed keywords

CITRUS FRUITS; GENETIC ALGORITHMS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; LINEAR REGRESSION; NEAR INFRARED SPECTROSCOPY;

MULTIPLE LINEAR REGRESSIONS; ON-LINE DETECTION; PARTIAL LEAST-SQUARES REGRESSION; SOLUBLE SOLIDS CONTENT; STEPWISE MULTIPLE LINEAR REGRESSION; SUCCESSIVE PROJECTION ALGORITHMS; UNINFORMATIVE VARIABLE ELIMINATIONS; VARIABLE SELECTION;

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EID: 84904315460     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2014.06.023     Document Type: Article

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