02191naa a2200313 a 450000100080000000500110000800800410001902200140006002400350007410000190010924501440012826000090027230000100028152012800029165000110157165000230158265000220160565000130162765000080164065000270164865000230167570000170169870000240171570000230173970000200176270000170178270000220179977300560182121398232023-02-05       2022    bl uuuu     u00u1 u    #d  a1386-14257 a10.1016/j.saa.2021.1203992DOI1 aMATA, M. M. da  aDistinguishing cotton seed genotypes by means of vibrational spectroscopic methods (NIR and Raman) and chemometrics.h[electronic resource]  c2022  a10 p.  aThe use of vibrational spectroscopy, such as near infrared (NIR) and Raman, combined with multivariate analysis methods to analyze agricultural products are promising for investigating genetically modified organisms (GMO). In Brazil, cotton is grown under humid tropical conditions and is highly affected by pests and diseases, requiring the use of large amounts of phytosanitary chemicals. To avoid the use of those pesticides, genetic improvement can be carried out to produce species tolerant to herbicides, resistant to fungi and insects, or even to provide greater productivity and better quality. Even with these advantages, it is necessary to manage and limit the contact of transgenic species with native ones, avoiding possible contamination or even extinction of conventional species. The identification of the presence of GMOs is based on complex DNA-based analysis, which is usually laborious, expensive, timeconsuming, destructive, and generally unavailable. In the present study, a new methodology to identify GMOs using partial least squares discriminant analysis (PLS-DA) on NIR and Raman data is proposed to distinguish conventional and transgenic cotton seed genotypes, providing classification errors for prediction set of 2.23% for NIR and 0.0% for Raman.  aCotton  aInfrared radiation  aTransgenic plants  aAlgodão  aDNA  aOrganismo Transgênico  aRaio Infravermelho1 aROCHA, P. D.1 aFARIAS, I. K. T. de1 aSILVA, J. L. B. da1 aMEDEIROS, E. P.1 aSILVA, C. S.1 aSIMÕES, S. da S.  tSpectrochimica Actagv. 266, 120399, p. 1-10, 2022.