%0 Journal Article
%T Determina£¿£¿o de umidade em caf¨¦ cru usando espectroscopia NIR e regress£¿o multivariada
%A Morgano
%A Marcelo Antonio
%A Faria
%A Cristiano Gomes
%A Ferr£¿o
%A Marco Flores
%A Bragagnolo
%A Neura
%A Ferreira
%A M¨¢rcia Miguel de Castro
%J Ci¨ºncia e Tecnologia de Alimentos
%D 2008
%I Sociedade Brasileira de Ci¨ºncia e Tecnologia de Alimentos
%R 10.1590/S0101-20612008000100003
%X 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.
%K moisture determination
%K coffee
%K infrared spectroscopy
%K multivariate regression.
%U http://www.scielo.br/scielo.php?script=sci_abstract&pid=S0101-20612008000100003&lng=en&nrm=iso&tlng=en