Monitoring fungal growth on brown rice grains using rapid and non-destructive hyperspectral imaging

International Journal of Food Microbiology

Volumn 199, Issue , 2015, Pages 93-100

  Siripatrawan, U ^a   Makino, Y ^b  

^a CHULALONGKORN UNIVERSITY   (Thailand)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

Fungal infection; Hyperspectral imaging; Non destructive method; Scanning electron microscopy; Self organizing map

Indexed keywords

ARTICLE; ASPERGILLUS ORYZAE; BROWN RICE; COLONY FORMING UNIT; FUNGAL DEVELOPMENT; FUNGAL STRAIN; FUNGUS GROWTH; GRAIN; HYPERSPECTRAL IMAGING; INOCULATION; MYCOSIS; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; RICE; SCANNING ELECTRON MICROSCOPY; SPECTROSCOPY; ALGORITHM; CHEMISTRY; FOOD CONTROL; FUNGUS; GROWTH, DEVELOPMENT AND AGING; MICROBIOLOGY; NEAR INFRARED SPECTROSCOPY; PROCEDURES; REGRESSION ANALYSIS;

ASPERGILLUS ORYZAE;

ALGORITHMS; ASPERGILLUS ORYZAE; FOOD MICROBIOLOGY; FUNGI; LEAST-SQUARES ANALYSIS; ORYZA SATIVA; SPECTROSCOPY, NEAR-INFRARED;

EID: 84922347963     PISSN: 01681605     EISSN: 18793460     Source Type: Journal    
DOI: 10.1016/j.ijfoodmicro.2015.01.001     Document Type: Article

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