Predicting soluble solid content in intact jaboticaba [Myrciaria jaboticaba (Vell.) O. Berg] fruit using near-infrared spectroscopy and chemometrics

Food Chemistry

Volumn 159, Issue , 2014, Pages 458-462

  Mariani, Nathália Cristina Torres ^a   Da Costa, Rosangela Câmara ^b   De Lima, Kássio Michell Gomes ^b   Nardini, Viviani ^a   Cunha Júnior, Luís Carlos ^a   Teixeira, Gustavo Henrique De Almeida ^c  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO NORTE   (Brazil)

^c SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

BP ANN; LS SVM; NIR spectroscopy; PLS; Variables selection

Indexed keywords

GENETIC ALGORITHMS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION; SUPPORT VECTOR MACHINES;

BP-ANN; LS-SVM; NIR SPECTROSCOPY; PLS; VARIABLES SELECTIONS;

FRUITS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BIOCHEMICAL COMPOSITION; CALIBRATION; CHEMOMETRICS; CONTROLLED STUDY; FRUIT; GENETIC ALGORITHM; INTERVAL PARTIAL LEAST SQUARE; INVESTIGATIVE PROCEDURES; LEAST SQUARES SUPPORT VECTOR MACHINE; MEASUREMENT ACCURACY; MULTIVARIATE ANALYSIS; MYRCIARIA JABOTICABA; NEAR INFRARED REFLECTANCE SPECTROSCOPY; NONHUMAN; NONLINEAR REGRESSION ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; QUANTITATIVE ANALYSIS; SOLUBLE SOLID CONTENT; SUCCESSIVE PROJECTIONS ALGORITHM; SUPPORT VECTOR MACHINE; CHEMISTRY; MYRTACEAE; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS; REPRODUCIBILITY;

PLANT EXTRACT;

ALGORITHMS; CALIBRATION; FRUIT; LEAST-SQUARES ANALYSIS; MULTIVARIATE ANALYSIS; MYRTACEAE; NEURAL NETWORKS (COMPUTER); PLANT EXTRACTS; REPRODUCIBILITY OF RESULTS; SPECTROSCOPY, NEAR-INFRARED; SUPPORT VECTOR MACHINES;

EID: 84898066109     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2014.03.066     Document Type: Article

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