Sensory based quality control utilising an electronic nose and GC-MS analyses to predict end-product quality from raw materials

Meat Science

Volumn 69, Issue 4, 2005, Pages 621-634

  Hansen, Thomas ^a   Petersen, Mikael Agerlin ^a   Byrne, Derek V ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Electronic nose; GC MS; Meat loaf; MOS sensors; Multivariate data analysis; Pork; Quality control; Sensory

Indexed keywords

ELECTRONIC NOSE; GC-MS; MEAT LOAF; METAL OXIDE SENSORS (MOS); MULTIVARIATE DATA ANALYSIS; PORK;

GAS CHROMATOGRAPHY; LEAST SQUARES APPROXIMATIONS; MASS SPECTROMETRY; MEATS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SAMPLING; SENSORS;

QUALITY CONTROL;

SUIDAE;

EID: 12344314586     PISSN: 03091740     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.meatsci.2003.11.024     Document Type: Article

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