Assessment of Table Olives’ Organoleptic Defect Intensities Based on the Potentiometric Fingerprint Recorded by an Electronic Tongue

Food and Bioprocess Technology

Volumn 10, Issue 7, 2017, Pages 1310-1323

  Marx, Ítala M G ^a,b   Rodrigues, Nuno ^a,c   Dias, Luís G ^a,d   Veloso, Ana C A ^e,f   Pereira, José A ^a   Drunkler, Deisy A ^b   Peres, António M ^a  

^a INSTITUTO POLITÉCNICO DE BRAGANÇA   (Portugal)

^b UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

^c UNIVERSITY OF LEÓN   (Spain)

^d UNIVERSITY OF TRÁS OS MONTES AND ALTO DOURO   (Portugal)

^e POLYTECHNIC INSTITUTE OF COIMBRA   (Portugal)

^f UNIVERSITY OF MINHO   (Portugal)

Author keywords

Electronic tongue; Multivariate linear regression models; Sensory defects intensity; Simulated annealing algorithm; Table olives

Indexed keywords

DEFECTS; HEURISTIC ALGORITHMS; LINEAR REGRESSION; POTENTIOMETERS (ELECTRIC MEASURING INSTRUMENTS); REGRESSION ANALYSIS; RISK ASSESSMENT; SIMULATED ANNEALING;

K FOLD CROSS VALIDATIONS; META HEURISTIC ALGORITHM; MULTIPLE LINEAR REGRESSION MODELS; MULTIVARIATE LINEAR REGRESSION MODEL; SENSORY DEFECTS INTENSITY; SIMULATED ANNEALING ALGORITHMS; SUBJECTIVE EVALUATIONS; TABLE OLIVES;

ELECTRONIC TONGUES;

EID: 85016091710     PISSN: 19355130     EISSN: 19355149     Source Type: Journal    
DOI: 10.1007/s11947-017-1902-7     Document Type: Article

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