Identification of trace amounts of detergent powder in raw milk using a customized low-cost artificial olfactory system: A novel method

Measurement: Journal of the International Measurement Confederation

Volumn 124, Issue , 2018, Pages 120-129

  Tohidi, Mojtaba ^a   Ghasemi Varnamkhasti, Mahdi ^a   Ghafarinia, Vahid ^b   Saeid Mohtasebi, Seyed ^c   Bonyadian, Mojtaba ^a  

^a SHAHREKORD UNIVERSITY   (Iran)

^b ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

^c UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Artificial olfactory system; Detergent powder; Electronic nose; Milk

Indexed keywords

ANTIMICROBIAL AGENTS; ARTIFICIAL ORGANS; DISCRIMINANT ANALYSIS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; IMAGE RETRIEVAL; METALS; MOS DEVICES; MULTIVARIANT ANALYSIS; OXIDE SEMICONDUCTORS; POWDER METALS; PRINCIPAL COMPONENT ANALYSIS; QUALITY ASSURANCE; RADIAL BASIS FUNCTION NETWORKS; SOAPS (DETERGENTS); SUPPORT VECTOR MACHINES;

ADAPTIVE NEURO FUZZY INFERENCE SYSTEMS (ANFIS); ARTIFICIAL OLFACTORY SYSTEM; LINEAR DISCRIMINANT ANALYSES (LDA); METAL-OXIDE SEMICONDUCTOR SENSORS; MILK; MULTIVARIATE ANALYSIS OF VARIANCES; QUALITATIVE CLASSIFICATION; RADIAL BASIS FUNCTION(RBF);

ELECTRONIC NOSE;

EID: 85045187703     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2018.04.006     Document Type: Article

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