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• W1894123466 abstract "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." @default.
• W1894123466 created "2016-06-24" @default.
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• W1894123466 date "2015-09-21" @default.
• W1894123466 modified "2023-10-05" @default.
• W1894123466 title "Classification and recognition of genetically modified organisms by chemometrics methods using terahertz spectroscopy" @default.
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• W1894123466 doi "https://doi.org/10.1111/ijfs.12942" @default.
• W1894123466 hasPublicationYear "2015" @default.
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