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Type: Artigo de periódico
Title: Evolving factor analysis-based method for correcting monitoring delay in different batch runs for use with PLS: On-line monitoring of a transesterification reaction by ATR-FTIR
Author: Trevisan, MG
Garcia, CM
Schuchardt, U
Poppi, RJ
Abstract: In this work, the base-catalyzed transesterification of soybean oil with ethanol was monitored on-line using mid-infrared spectroscopy (MIRS) and the yield of fatty acid ethyl esters (biodiesel) was obtained by H-1 NMR spectroscopy. The MIRS monitoring carried out for 12 min, was performed using a cylindrical internal reflectance cell of PbSe in the range of 3707-814cm(-1) with eight co-added scans. Two different data treatment strategies were used: in the first, the models were built using the raw data and in the other, evolving factor analysis (EFA) was used to overcome the sensor time delay due to the on-line analysis, producing significantly better results. In addition, models based on partial least squares (PLS) using three batches for calibration and another for validation were compared with models with just one batch for calibration and three for validation. The models were compared between each other using root mean square error of prediction (RMSEP) and root mean square prediction difference (RMSPD), obtaining relative errors under 3%. (c) 2007 Elsevier B.V. All rights reserved.
Subject: biodiesel fuel
middle infrared spectroscopy
reaction monitoring
process control
robustness of models
Country: Holanda
Editor: Elsevier Science Bv
Citation: Talanta. Elsevier Science Bv, v. 74, n. 4, n. 971, n. 976, 2008.
Rights: fechado
Identifier DOI: 10.1016/j.talanta.2007.08.004
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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