Predictive assessment of ochratoxin A accumulation in grape juice based-medium by Aspergillus carbonarius using neural networks

Journal of Applied Microbiology

Volumn 107, Issue 3, 2009, Pages 915-927

  Mateo, F ^a   Gadea, R ^a   Medina, A ^b   Mateo, R ^b   Jimenez M ^b  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Aspergillus carbonarius; Grape based products; Mycotoxigenic fungi; Mycotoxins; Neural networks; Ochratoxin A; Predictive mycology

Indexed keywords

ASPERGILLUS; FORECASTING; FRUIT JUICES; FUNGICIDES; LIQUID CHROMATOGRAPHY; RADIAL BASIS FUNCTION NETWORKS;

ASPERGILLUS CARBONARIUS; CONDITION; GRAPE JUICE; GRAPE-BASED PRODUCT; MULTILAYERS PERCEPTRONS; MYCOTOXIGENIC FUNGUS; NEURAL-NETWORKS; OCHRATOXIN A; PERFORMANCE; PREDICTIVE MYCOLOGY;

MYCOTOXINS;

CARBENDAZIM; OCHRATOXIN;

ARTIFICIAL NEURAL NETWORK; ASSESSMENT METHOD; FUNGICIDE; FUNGUS; MODELING; PLANT EXTRACT; PREDICTION; TEMPERATURE EFFECT; TOXIN;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASPERGILLUS; ASPERGILLUS CARBONARIUS; GRAPE JUICE; LIQUID CHROMATOGRAPHY; NONHUMAN; PERCEPTRON; PREDICTION; TEMPERATURE SENSITIVITY; VALIDATION STUDY; WATER AVAILABILITY;

ASPERGILLUS CARBONARIUS; FUNGI; VITACEAE;

EID: 68849120897     PISSN: 13645072     EISSN: 13652672     Source Type: Journal    
DOI: 10.1111/j.1365-2672.2009.04264.x     Document Type: Article

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