Investigation of Different Gas Sensor-Based Artificial Olfactory Systems for Screening Salmonella typhimurium Contamination in Beef

Food and Bioprocess Technology

Volumn 5, Issue 4, 2012, Pages 1206-1219

  Balasubramanian, Sundar ^a   Amamcharla, Jayendrakumar ^b   Panigrahi, Suranjan ^c   Logue, Catherine M ^d   Marchello, Martin ^e   Sherwood, Julie S ^d  

^a LOUISIANA STATE UNIVERSITY AGRICULTURAL CENTER   (United States)

^b SOUTH DAKOTA STATE UNIVERSITY   (United States)

^c PURDUE UNIVERSITY   (United States)

^d NORTH DAKOTA STATE UNIVERSITY   (United States)

^e NDSU   (United States)

Author keywords

Discriminant analysis; Electronic nose; Food safety; Intelligent sensors; Meat contamination; Salmonella typhimurium; Sensor fusion

Indexed keywords

ARTIFICIAL OLFACTORY SYSTEM; CLASSIFICATION ACCURACY; CLASSIFICATION MODELS; CROSS VALIDATION; DEVELOPED MODEL; ELECTRONIC NOSE; ELECTRONIC NOSE SYSTEMS; INTELLIGENT SENSORS; LINEAR DISCRIMINANT ANALYSIS; MEAT SAMPLES; METAL OXIDES; MICROBIAL COUNT; S. TYPHIMURIUM; SALMONELLA TYPHIMURIUM; SENSOR FUSION; SENSOR SIGNALS; SENSOR SYSTEMS; STAGE SCREENING; TWO-TEMPERATURE;

ARTIFICIAL ORGANS; CONDUCTING POLYMERS; CONTAMINATION; DIAGNOSIS; DISCRIMINANT ANALYSIS; FOOD SAFETY; MEATS; METALLIC COMPOUNDS; SALMONELLA; SENSORS; SENSORY AIDS;

SCREENING;

SALMONELLA; SALMONELLA TYPHIMURIUM;

EID: 84859430731     PISSN: 19355130     EISSN: 19355149     Source Type: Journal    
DOI: 10.1007/s11947-010-0444-z     Document Type: Article

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