Preliminary assessment of a model to predict mold contamination based on microbial volatile organic compound profiles

Science of the Total Environment

Volumn 408, Issue 17, 2010, Pages 3648-3653

  LeBouf, Ryan F ^a   Schuckers, Stephanie A ^b   Rossner, Alan ^a  

^a CLARKSON UNIVERSITY   (United States)

^b Wallace H Coulter School of Engineering   (United States)

Author keywords

Artificial neural network; Indoor air; Mold; Volatile organic compounds

Indexed keywords

ANDERSONS; ARTIFICIAL NEURAL NETWORK; ASSESSMENT METHODOLOGIES; BIOAEROSOLS; BUILT ENVIRONMENT; CHEMICAL SAMPLES; CROSS VALIDATION; DICHLORAN; FEED-FORWARD BACK PROPAGATION; FIELD APPLICATION; IMPACTORS; INDOOR AIR; MALT EXTRACT AGARS; MATLAB SCRIPTS; MICROBIAL VOLATILE ORGANIC COMPOUNDS; MODEL INPUTS; MODEL RESULTS; MOLD CONTAMINATION; MOLD GROWTH; NON-VIABLE; PRELIMINARY ASSESSMENT; SAMPLING PERIOD;

CHEMICAL CONTAMINATION; GAS CHROMATOGRAPHY; GLYCEROL; INDOOR AIR POLLUTION; MOLDS; PATTERN RECOGNITION; VOLATILE ORGANIC COMPOUNDS;

NEURAL NETWORKS;

AGAR; VOLATILE ORGANIC COMPOUND; POLLUTANT;

AIR SAMPLING; ARTIFICIAL NEURAL NETWORK; GROWTH; INDOOR AIR; MICROBIOLOGY; NUMERICAL MODEL; PATTERN RECOGNITION; VOLATILE ORGANIC COMPOUND;

AEROSOL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL ANALYSIS; ENVIRONMENTAL EXPOSURE; FUNGAL CONTAMINATION; FUNGUS GROWTH; NONHUMAN; PRIORITY JOURNAL; ANALYSIS; BIOLOGICAL MODEL; CHEMISTRY; ENVIRONMENTAL MONITORING; FUNGUS; GROWTH, DEVELOPMENT AND AGING; ISOLATION AND PURIFICATION; MICROBIOLOGY; POLLUTANT; PROCEDURES;

AIR MICROBIOLOGY; ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTANTS; FUNGI; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); VOLATILE ORGANIC COMPOUNDS;

EID: 77953809718     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2010.04.054     Document Type: Article

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