Simultaneous prediction of acetic acid/ethanol concentrations in their binary mixtures using metalloporphyrin based opto-electronic nose for meat safety applications

Sensing and Instrumentation for Food Quality and Safety

Volumn 4, Issue 2, 2010, Pages 51-60

  Amamcharla, Jayendra K ^a,b   Panigrahi, Suranjan ^a,c  

^a North Dakota State University   (United States)

^b SOUTH DAKOTA STATE UNIVERSITY   (United States)

^c PURDUE UNIVERSITY   (United States)

Author keywords

Electronic nose; Food safety; Metalloporphyrin; Multilayer perceptron; Optical sensor; Partial least square regression

Indexed keywords

ELECTRONIC NOSE; FOOD SAFETY; METALLOPORPHYRINS; MULTI LAYER PERCEPTRON; PARTIAL LEAST SQUARE REGRESSION;

ACETIC ACID; ARTIFICIAL ORGANS; ELECTRIC LOADS; ETHANOL; FORECASTING; HEALTH; MATHEMATICAL MODELS; METAL ANALYSIS; MULTILAYERS; NEURAL NETWORKS; OPTICAL MULTILAYERS; OPTICAL SENSORS; PH EFFECTS; PORPHYRINS; REFLECTION; REGRESSION ANALYSIS; RUTHENIUM; STATISTICAL TESTS; VOLATILE ORGANIC COMPOUNDS;

BINARY MIXTURES;

EID: 77954393947     PISSN: 19327587     EISSN: 19329954     Source Type: Journal    
DOI: 10.1007/s11694-010-9092-2     Document Type: Article

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