Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/101784
Author(s): Dias, Luís
Veloso, Ana
Correia, Daniela
Rocha, Orlando
Torres, Duarte
Rocha, Isabel
Rodrigues, Lígia
Peres, António
Title: UV spectrophotometry method for the monitoring of galacto-oligosaccharides production
Issue Date: 2009
Abstract: Monitoring the industrial production of galacto-oligosaccharides (GOS) requires a fast and accurate methodology able to quantify, in real time, the substrate level and the product yield. In this work, a simple, fast and inexpensive UV spectrophotometric method, together with partial least squares regression (PLS) and artificial neural networks (ANN), was applied to simultaneously estimate the products (GOS) and the substrate (lactose) concentrations in fermentation samples. The selected multiple models were trained and their prediction abilities evaluated by cross-validation and external validation being the results obtained compared with HPLC measurements. ANN models, generated from absorbance spectra data of the fermentation samples, gave, in general, the best performance being able to accurately and precisely predict lactose and total GOS levels, with standard error of prediction lower than 13 g kg(-1) and coefficient of determination for the external validation set of 0.93-0.94, showing residual predictive deviations higher than five, whereas lower precision was obtained with the multiple model generated with PLS. The results obtained show that UV spectrophotometry allowed an accurate and non-destructive determination of sugars in fermentation samples and could be used as a fast alternative method for monitoring GOS production.
Subject: Biotecnologia alimentar, Química alimentar, Controlo de processos, Biotecnologia industrial
Food biotechnology, Food chemistry, Process control, Industrial biotechnology
Scientific areas: Ciências da engenharia e tecnologias::Biotecnologia industrial
Engineering and technology::Industrial biotechnology
URI: https://repositorio-aberto.up.pt/handle/10216/101784
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FCNAUP - Artigo em Revista Científica Internacional

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