2021
DOI: 10.1016/j.vibspec.2020.103183
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Raman spectroscopy for discriminating transgenic corns

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Cited by 4 publications
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“…This methodology can be applied in different detection scenarios, using the principle of similarity. Moreover, Raman is capable of extracting sample fingerprints and, in combination with chemometric tools, can discriminate transgenic corn with a predictive accuracy of 87.5% [ 69 ]. This also demonstrates the wide applicability of the SERS methodology ( Table 8 ).…”
Section: Genetically Modified Foods (Gmfs) and Novel Foodsmentioning
confidence: 99%
“…This methodology can be applied in different detection scenarios, using the principle of similarity. Moreover, Raman is capable of extracting sample fingerprints and, in combination with chemometric tools, can discriminate transgenic corn with a predictive accuracy of 87.5% [ 69 ]. This also demonstrates the wide applicability of the SERS methodology ( Table 8 ).…”
Section: Genetically Modified Foods (Gmfs) and Novel Foodsmentioning
confidence: 99%