Data/hora: 23/09/2024 19:52:20

Biblioteca(s): 	Embrapa Algodão; Embrapa Milho e Sorgo.	
Tipo da produção científica: 	Artigo em Periódico Indexado	
Circulação/Nível: 	A - 1	
Data corrente: 	17/11/2020	
Data da última atualização: 	13/10/2021	
Autoria: 	CONCEIÇÃO, R. R. P. da; SIMEONE, M. L. F.; QUEIROZ, V. A. V.; MEDEIROS, E. P. de; ARAUJO, J. B. de; COUTINHO, W. M.; SILVA, D. D. da; MIGUEL, R. de A.; LANA, U. G. de P.; STOIANOFF, M. A. R.	
Afiliação: 	Renata Regina Pereira da Conceição, Universidade Federal de Minas Gerais; MARIA LUCIA FERREIRA SIMEONE, CNPMS; VALERIA APARECIDA VIEIRA QUEIROZ, CNPMS; EVERALDO PAULO DE MEDEIROS, CNPA; JOABSON BORGES DE ARAUJO, CNPA; WIRTON MACEDO COUTINHO, CNPA; DAGMA DIONISIA DA SILVA, CNPMS; RAFAEL DE ARAUJO MIGUEL, CNPMS; UBIRACI GOMES DE PAULA LANA, CNPMS; Maria Aparecidade Resende Stoianoff, Universidade Federal de Minas Gerais.	
Título: 	Application of Near-Infrared Hyperspectral (NIR) images combined with multivariate image analysis in the differentiation of two mycotoxicogenic Fusarium species associated with maize.	
Ano de publicação: 	2021	
Fonte/Imprenta: 	Food Chemistry, v. 344, 128615, 2021.	
Idioma: 	Inglês	
Conteúdo: 	Maize (Zea mays L.) is one of the most versatile crops worldwide with high socioeconomic relevance. However, mycotoxins produced by pathogenic fungi are of constant concern in maize production, as they pose serious risks to human and animal health. Thus, the search for rapid detection and/or identification methods for mycotoxins and mycotoxin-producing fungi for application in food safety remain important. In this work, we implemented use of near infrared hyperspectral images (HSI-NIR) combined with pattern recognition analysis, partial-leastsquares discriminant analysis (PLS-DA) of images, to develop a rapid method for identification of Fusarium verticillioides and F. graminearum. Validation of the HSI-NIR method and subsequent analysis was realized using 15 Fusarium spp. isolates. The method was efficient as a rapid, non-invasive, and non-destructive assessment was achieved with 100% accuracy, sensitivity, and specificity for both fungi.	
Palavras-Chave: 	Identificação fúngica; Imagem hiperespectral.	
Thesagro: 	Micotoxina; Zea Mays.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Milho e Sorgo (CNPMS)	
Exemplares: 	CNPMS - (29443-1) - UPC - AP - DD -  -  -  - DIS
CNPA - (28837-1) - UPC - AP - DD -  -  -  - DIS