2017
DOI: 10.21577/0100-4042.20170120
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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)

Abstract: PREDICTION OF CONTENTS OF PHENOLIC COMPOUNDS AND FLAVONOIDS IN AERIAL PART OF Secale cereale L. Avena strigosa L. and Raphanus sativus L. WITH NEAR INFRARED SPECTROSCOPY (NIR). 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., Sec… Show more

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Cited by 6 publications
(8 citation statements)
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“…The shoot aqueous extracts from cover crops presented the following concentrations Research, Society and Development, v. 9, n. 10, e5859108579, 2020 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v9i10.8579 regarding total phenols per plant dry mass: 0.76 mg g-1 for the radish, 0.4 mg g-1 for the black oat and 1.23 mg g-1 for the hairy vetch. Higher values were found by Souza et al (2017), who reported 8.19 mg g-1 for the dry mass of black oat cut at 80 days and 15.97 mg g-1 for the dry mass of radish cut at 60 days. Such variation in the research results might be ascribed to several factors that interfere in the concentration of phenols produced by the plants such as: weather conditions, nutritional status and the plant development stage (Pires & Oliveira, 2011;Farooq et al 2020).…”
Section: Total Phenol Quantificationmentioning
confidence: 63%
“…The shoot aqueous extracts from cover crops presented the following concentrations Research, Society and Development, v. 9, n. 10, e5859108579, 2020 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi.org/10.33448/rsd-v9i10.8579 regarding total phenols per plant dry mass: 0.76 mg g-1 for the radish, 0.4 mg g-1 for the black oat and 1.23 mg g-1 for the hairy vetch. Higher values were found by Souza et al (2017), who reported 8.19 mg g-1 for the dry mass of black oat cut at 80 days and 15.97 mg g-1 for the dry mass of radish cut at 60 days. Such variation in the research results might be ascribed to several factors that interfere in the concentration of phenols produced by the plants such as: weather conditions, nutritional status and the plant development stage (Pires & Oliveira, 2011;Farooq et al 2020).…”
Section: Total Phenol Quantificationmentioning
confidence: 63%
“…As análises para determinação de compostos fenólicos e flavonoides totais via cromatografia ou espectrofotometria via UV-VIS são consideradas destrutivas e geram resíduos químicos (SOUZA, et al, 2017). Os mesmos autores realizaram um estudo explorando a possibilidade de utilização da espectroscopia no infravermelho próximo (NIR) juntamente com métodos quimiométricos e análise multivariada para quantificação de fenóis e flavonoides totais, para desenvolver uma metodologia mais rápida, precisa, de baixo custo e sem utilização de reagentes.…”
Section: Métodos De Análise Para Determinação De Compostos Bioativosunclassified
“…The majority of these methods are indirect methods that are based on the investigation of correlations and adjustment of calibration models between the properties of interest and others that are easier to measure. The development of sophisticated statistical analyses and reliable software has led to the use of spectroscopy in the near-infrared region (NIRS) in several areas such as agriculture, forensic sciences and industry (Menezes et al, 2014;Souza et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…This uniqueness was possible from a complete comparison of the spectral profile of the samples with the reference tannin. Results from studies with NIRS state that their spectra can be considered as a "spectral signature" that can accurately the identify the investigated raw material (Durgante et al, 2013;Souza et al, 2017). In this context, we developed a predictive model of FT-NIR to distinguish tannins that occur in the xylem tissue (wood) of different forest species in the Amazon region.…”
Section: Introductionmentioning
confidence: 99%