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Volumn 136, Issue , 2015, Pages 128-135
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Data visualization of Salmonella Typhimurium contamination in packaged fresh alfalfa sprouts using a Kohonen network
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Author keywords
Data visualization; Electronic sensors; Pathogen detection; Principal component analysis; Self organizing map; Volatile metabolites
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Indexed keywords
CONFORMAL MAPPING;
CONTAMINATION;
DATA VISUALIZATION;
ELECTRONIC NOSE;
IMAGE SEGMENTATION;
METABOLITES;
METAL ANALYSIS;
METALLIC COMPOUNDS;
METALS;
PATHOGENS;
SALMONELLA;
SELF ORGANIZING MAPS;
VISUALIZATION;
ELECTRONIC SENSORS;
LINEAR PRINCIPAL COMPONENT;
METAL OXIDE SENSOR ARRAYS;
MULTIDIMENSIONAL DATA;
NONDESTRUCTIVE METHODS;
PATHOGEN DETECTION;
SALMONELLA TYPHIMURIUM;
VOLATILE METABOLITES;
PRINCIPAL COMPONENT ANALYSIS;
ALFALFA;
AUTOMATED PATTERN RECOGNITION;
BACTERIAL LOAD;
FOOD CONTROL;
MICROBIOLOGY;
PRINCIPAL COMPONENT ANALYSIS;
SALMONELLA ENTERICA SEROVAR TYPHIMURIUM;
BACTERIAL LOAD;
FOOD MICROBIOLOGY;
MEDICAGO SATIVA;
PATTERN RECOGNITION, AUTOMATED;
PRINCIPAL COMPONENT ANALYSIS;
SALMONELLA TYPHIMURIUM;
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EID: 84922448896
PISSN: 00399140
EISSN: None
Source Type: Journal
DOI: 10.1016/j.talanta.2014.11.070 Document Type: Article |
Times cited : (14)
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References (29)
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