Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/351734
Type: Artigo
Title: NIR spectroscopy and chemometric tools to identify high content of deoxynivalenol in barley
Author: Caramês, Elem Tamirys dos Santos
Piacentini, Karim C.
Alves, Lucas Teixeira
Pallone, Juliana Azevedo Lima
Rocha, Liliana de Oliveira
Abstract: Deoxynivalenol (DON) is one of the mycotoxins produced mainly by the Fusarium graminearum species complex in small grain cereals, including barley. This toxin can cause alimentary disorders, immune function depression and gastroenteritis. The negative health effects associated with DON coupled to the increasing concern about green and rapid methods of analysis motivated this study. In this context, near infrared (NIR) spectroscopy data were applied for exploratory analysis to distinguish barley with high and low levels of DON contamination (> or <1250 µg/kg according to the European Union threshold), by Partial Least Squares-Discriminant Analysis (PLS-DA), and to verify the performance of Partial Least Squares-Regression (PLS-R) to predict DON concentration in barley samples. Maximum values of specificity and sensitivity were achieved in the calibration set; 90.9% and 81.9% were observed in the cross-validation set for the PLS-DA classification model. PLS-R quantification of DON in barley presented low values of error (RMSEC = 101.94 µg/kg and RMSEP = 160.76 µg/kg). Thus, we found that NIR in combination with adequate chemometric tools could be applied as a green technique to monitor DON contamination in barley
Subject: Infravermelho próximo
Country: Reino Unido
Editor: Taylor & Francis
Rights: Fechado
Identifier DOI: 10.1080/19440049.2020.1778189
Address: https://www.tandfonline.com/doi/full/10.1080/19440049.2020.1778189
Date Issue: 2020
Appears in Collections:FEA - Artigos e Outros Documentos

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