Discrimination of genetically modified sugar beets based on terahertz spectroscopy
| Autor: | Tao Chen, Xianhua Yin, Fangrong Hu, Cong Hu, Zhi Li |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Analytical chemistry
Discriminant partial least squares 02 engineering and technology 01 natural sciences Analytical Chemistry Chemometrics Food science Least-Squares Analysis Sugar Instrumentation Spectroscopy Terahertz Spectroscopy Principal Component Analysis biology Chemistry 010401 analytical chemistry Discriminant Analysis Plants Genetically Modified 021001 nanoscience & nanotechnology Linear discriminant analysis biology.organism_classification Atomic and Molecular Physics and Optics 0104 chemical sciences Terahertz spectroscopy and technology Genetically modified organism Principal component analysis Sugar beet Beta vulgaris 0210 nano-technology |
| Zdroj: | Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 153:586-590 |
| ISSN: | 1386-1425 |
| Popis: | The objective of this paper was to apply terahertz (THz) spectroscopy combined with chemometrics techniques for discrimination of genetically modified (GM) and non-GM sugar beets. In this paper, the THz spectra of 84 sugar beet samples (36 GM sugar beets and 48 non-GM ones) were obtained by using terahertz time-domain spectroscopy (THz-TDS) system in the frequency range from 0.2 to 1.2 THz. Three chemometrics methods, principal component analysis (PCA), discriminant analysis (DA) and discriminant partial least squares (DPLS), were employed to classify sugar beet samples into two groups: genetically modified organisms (GMOs) and non-GMOs. The DPLS method yielded the best classification result, and the percentages of successful classification for GM and non-GM sugar beets were both 100%. Results of the present study demonstrate the usefulness of THz spectroscopy together with chemometrics methods as a powerful tool to distinguish GM and non-GM sugar beets. |
| Databáze: | OpenAIRE |
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