Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/106246
Type: Artigo de periódico
Title: Determination Of Moisture In Raw Coffee By Near Infra-red Reflectance Spectroscopy And Multivariate Regression [determinação De Umidade Em Café Cru Usando Espectroscopia Nir E Regressão Multivariada]
Author: Morgano M.A.
Faria C.G.
Ferrao M.F.
Bragagnolo N.
Ferreira M.M.D.C.
Abstract: Near infra-red reflectance (NIR) spectroscopy was used to measure the moisture content in raw coffee. Different models using partial least squares (PLS) with data pre-processing were used. Regression models were built with 157 spectra of the samples of raw coffee collected using a near infrared spectrometer with an accessory of diffuse reflectance, between 4500 and 10000 cm-1. The original NIR spectra went through different transformations and mathematical pre treatments, such as the Kubelka-Munk transformation; multiplicative signal correction (MSC); spline smoothing and movable average, and the data were scaled by variance. The regression model permitted the determination of the moisture content of the raw coffee samples with a standard error of calibration (SEC) = 0.569 g.100 g-1; standard error of validation = 0.298 g.100 g-1; correlation coefficient (r) 0.712 and 0.818 for calibration and validation, respectively, and average relative error of 4.1% for validation samples.
Editor: 
Rights: aberto
Identifier DOI: 10.1590/S0101-20612008000100003
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-45849137818&partnerID=40&md5=eff0d92ea58882c8ca4ffbba12090a75
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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