| Monitoring substrate and products in a bioprocess with FTIR spectroscopy coupled to artificial neural networks enhanced with a genetic-algorithm-based method for wavelength selection. | |
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MedLine Citation:
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PMID: 18970424 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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An experiment was developed as a simple alternative to existing analytical methods for the simultaneous quantitation of glucose (substrate) and glucuronic acid (main product) in the bioprocesses Kombucha by using FTIR spectroscopy coupled to multivariate calibration (partial least-squares, PLS-1 and artificial neural networks, ANNs). Wavelength selection through a novel ranked regions genetic algorithm (RRGA) was used to enhance the predictive ability of the chemometric models. Acceptable results were obtained by using the ANNs models considering the complexity of the sample and the speediness and simplicity of the method. The accuracy on the glucuronic acid determination was calculated by analysing spiked real fermentation samples (recoveries ca. 115%). |
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Authors:
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Vanina G Franco; Juan C Perín; Víctor E Mantovani; Héctor C Goicoechea |
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Publication Detail:
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Type: Journal Article Date: 2005-08-10 |
Journal Detail:
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Title: Talanta Volume: 68 ISSN: 1873-3573 ISO Abbreviation: Talanta Publication Date: 2006 Jan |
Date Detail:
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Created Date: 2008-10-30 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 2984816R Medline TA: Talanta Country: England |
Other Details:
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Languages: eng Pagination: 1005-12 Citation Subset: - |
Affiliation:
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Laboratorio de Control de Calidad de Medicamentos, Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe, Argentina. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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