Distinguishing cotton seed genotypes by means of vibrational spectroscopic methods (NIR and Raman) and chemometrics.

Autor: Mata MMD; Graduate Program in Chemistry, State University of Paraiba, Rua Baraúnas, 351, Bairro Universitário, Bodocongó, Campina Grande, Paraiba, 58429-500, Brazil., Rocha PD; Graduate Program in Chemistry, State University of Paraiba, Rua Baraúnas, 351, Bairro Universitário, Bodocongó, Campina Grande, Paraiba, 58429-500, Brazil., Farias IKT; Graduate Program in Chemistry, State University of Paraiba, Rua Baraúnas, 351, Bairro Universitário, Bodocongó, Campina Grande, Paraiba, 58429-500, Brazil., Silva JLBD; Graduate Program in Chemistry, State University of Paraiba, Rua Baraúnas, 351, Bairro Universitário, Bodocongó, Campina Grande, Paraiba, 58429-500, Brazil., Medeiros EP; Department of Chemistry Engineering, Federal University of Pernambuco, Av. da Arquitetura, Cidade Universitária, Recife, Pernambuco, 50740-540, Brazil., Silva CS; Department of Food Sciences and Nutrition, Faculty of Health Sciences, University of Malta, Msida, Malta; Brazilian Agricultural Research Corporation, Embrapa Cotton, Rua Osvaldo Cruz, 1143, Bairro Centenário, Campina Grande, Paraiba, 58428-095, Brazil., Simões SDS; Graduate Program in Chemistry, State University of Paraiba, Rua Baraúnas, 351, Bairro Universitário, Bodocongó, Campina Grande, Paraiba, 58429-500, Brazil. Electronic address: simonesimoes@servidor.uepb.edu.br.
Jazyk: angličtina
Zdroj: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2022 Feb 05; Vol. 266, pp. 120399. Date of Electronic Publication: 2021 Sep 14.
DOI: 10.1016/j.saa.2021.120399
Abstrakt: The 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, time-consuming, 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.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Published by Elsevier B.V.)
Databáze: MEDLINE
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