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|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]|
|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.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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