Investigation of Raman chemical imaging for detection of lycopene changes in tomatoes during postharvest ripening

Journal of Food Engineering

Volumn 107, Issue 3-4, 2011, Pages 277-288

  Qin, Jianwei ^a   Chao, Kuanglin ^a   Kim, Moon S ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Chemical imaging; Lycopene; Maturity; Raman spectroscopy; Tomato

Indexed keywords

CHEMICAL IMAGES; CHEMICAL IMAGING; CURVE FITTING METHODS; FOOD MATRIXES; HYPERSPECTRAL; HYPERSPECTRAL IMAGE CLASSIFICATION; LYCOPENES; MATURITY; NON DESTRUCTIVE; POSTHARVEST; RAMAN IMAGES; RAMAN SPECTRUM; SPATIAL RESOLUTION; SPECTRAL INFORMATION DIVERGENCES; TOMATO; WAVE NUMBERS;

CHEMICAL CONTAMINATION; CURVE FITTING; FRUITS; POLYNOMIAL APPROXIMATION; POLYTETRAFLUOROETHYLENES; RAMAN SCATTERING; RAMAN SPECTROSCOPY;

CHEMICAL DETECTION;

LYCOPERSICON ESCULENTUM;

EID: 80052259830     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2011.07.021     Document Type: Article

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