PREDIÇÃO DOS TEORES DE COMPOSTOS FENÓLICOS E FLAVONOIDES NA PARTE AÉREA DAS ESPÉCIES Secale cereale L., Avena strigosa L. E Raphanus sativus L. POR MEIO DE ESPECTROSCOPIA NO INFRAVERMELHO PRÓXIMO (NIR)

• Autor(a) principal: Souza,Monique
• Data de Publicação: 2017
• Outros Autores: Kuhnen,Shirley, Kazama,Daniele Cristina da Silva, Kurtz,Claudinei, Trapp,Talita, Müller Júnior,Vilmar, Comin,Jucinei José
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Química Nova (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422017000901074
• topic: chemometrics; diffuse reflectance; multivariate analysis; cover crops

Spectroscopy associated with chemometrics is a non-destructive method of the samples for the prediction of phenolic compounds. The objective of the work was to apply the near infrared spectroscopy (NIR) technique for the prediction of phenolic compounds and flavonoids in aerial part samples of cover crops plants Raphanus sativus L., Secale cereale L. and Avena strigosa L. Samples were collected at 60, 80 and 100 days after sowing (DAS) of the plants and, after lodging (DAA), at 15 and 30 days, in an experiment implanted in the field, in the city of Ituporanga, Santa Catarina. The samples were homogenized, identified, transported on dry ice, lyophilized, crushed, sieved and stored at -20 °C for analysis. For the calibration, 84 samples were used and for the validation 10 samples. The combination of NIR spectroscopy and multivariate analysis by partial least squares regression allowed the development of prediction models of phenolics and flavonoids with associated errors averaging 10%. NIR spectroscopy is recommended for the development of calibration models because it allows to non-destructive infer phenolic and total flavonoid contents, with high analytical frequency, without the use of reagents and other inputs required by the reference method, with results very close to those obtained in the laboratory.