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Classification and recognition of genetically modified organisms by chemometrics methods using terahertz spectroscopy
Author(s) -
Chen Tao,
Li Zhi,
Yin Xianhua,
Hu Fangrong,
Hu Cong,
Zhang Wentao,
Han Jiaguang
Publication year - 2015
Publication title -
international journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.831
H-Index - 96
eISSN - 1365-2621
pISSN - 0950-5423
DOI - 10.1111/ijfs.12942
Subject(s) - chemometrics , principal component analysis , sugar beet , linear discriminant analysis , spectroscopy , terahertz time domain spectroscopy , terahertz spectroscopy and technology , biological system , analytical chemistry (journal) , genetically modified organism , sugar , terahertz radiation , mathematics , chemistry , microbiology and biotechnology , pattern recognition (psychology) , chromatography , artificial intelligence , materials science , biology , computer science , food science , horticulture , physics , biochemistry , optoelectronics , quantum mechanics , gene
Summary The aim of this study was to evaluate the potential of terahertz ( TH z) spectroscopy to discriminate genetically modified ( GM ) and non‐ GM organisms. In this study, eighty‐four sugar beet samples (thirty‐six GM sugar beets and forty‐eight of their parents, non‐ GM ones) were investigated using terahertz time‐domain spectroscopy ( TH z‐ TDS ) system between 0.2 and 1.2 TH z. Discriminant analysis ( DA ) based on principal component analysis ( PCA ) was used to discriminate sugar beet samples into two classes: GM organisms ( GMO s) and non‐ GMO s. Study results indicate that the DA method leads to an excellent classification. A total of 95.8% of the non‐ GM samples were accurately classified, and no GM samples were misclassified, as there was 100% correctness. Results of this study demonstrate that TH z spectroscopy combined with chemometrics techniques can provide a fast, nondestructive and reliable method to differentiate GMO s and non‐ GMO s, which avoids time‐consuming, laborious and expensive sensory and chemical analyses.