Nondestructive determination of transgenic Bacillus thuringiensis rice seeds (Oryza sativa L.) using multispectral imaging and chemometric methods

Food Chemistry

Volumn 153, Issue , 2014, Pages 87-93

  Liu, Changhong ^a   Liu, Wei ^b   Lu, Xuzhong ^c   Chen, Wei ^a   Yang, Jianbo ^a,c   Zheng, Lei ^a  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b HEFEI UNIVERSITY   (China)

^c RICE RESEARCH INSTITUTE   (China)

Author keywords

Chemometric; Multispectral imaging; Nondestructive determination; Rice seed; Transgenic

Indexed keywords

BACTERIOLOGY; CHROMATOGRAPHY; CROPS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

CHEMOMETRICES; MULTISPECTRAL IMAGING; NONDESTRUCTIVE DETERMINATION; RICE SEED; TRANSGENICS;

LEAST SQUARES APPROXIMATIONS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACILLUS THURINGIENSIS; CHEMOMETRIC ANALYSIS; FEASIBILITY STUDY; NONHUMAN; PLANT IDENTIFICATION; PLANT SEED; RICE; SPECTROSCOPY; TRANSGENE; TRANSGENIC CROP;

CHEMOMETRIC; MULTISPECTRAL IMAGING; NONDESTRUCTIVE DETERMINATION; RICE SEED; TRANSGENIC;

BACTERIAL PROTEINS; DISCRIMINANT ANALYSIS; ENDOTOXINS; FOOD, GENETICALLY MODIFIED; HEMOLYSIN PROTEINS; NEURAL NETWORKS (COMPUTER); ORYZA SATIVA; PLANTS, GENETICALLY MODIFIED; SEEDS; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES;

EID: 84891720110     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2013.11.166     Document Type: Article

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