2006
DOI: 10.1016/j.talanta.2005.07.003
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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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Cited by 43 publications
(16 citation statements)
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“…These authors detected citric acid production (0.11 g l −1 ) on third day of fermentation. Gluconic acid concentration produced by our kombucha was satisfactory as that obtained previously (1.16 g l −1 ) after kombucha cultivation on black tea sweetened with 1.51% glucose (Franco, Peŕın, Mantovani, & Goicoechea, 2006).…”
Section: Discussionsupporting
confidence: 86%
“…These authors detected citric acid production (0.11 g l −1 ) on third day of fermentation. Gluconic acid concentration produced by our kombucha was satisfactory as that obtained previously (1.16 g l −1 ) after kombucha cultivation on black tea sweetened with 1.51% glucose (Franco, Peŕın, Mantovani, & Goicoechea, 2006).…”
Section: Discussionsupporting
confidence: 86%
“…Several studies have focused on near infrared control during the L-(+)-lactic acid production (GONZÁLEZ-VARA et al, 2000), monitoring of fermentation processes for Lactobacillus fermentum ES15 (TOSI et al, 2003), or FT-MIR and FT-Raman spectroscopic techniques in Lactobacillus casei fermentation from media containing only glucose at varying concentrations as carbon sources (SIVAKESAVA et al, 2001). Quantitative infrared spectroscopy has also been used for monitoring glucose and gluconic acids (FRANCO et al, 2006) or for lactic acid production from whey (TRIPATHI et al, 2015), for organic acids determination in fruit vinegars (LIU et al, 2011), wine (REGMI et al, 2012MARTELO-VIDAL & VÁZQUEZ, 2014a), fruit (BUREAU et al, 2009), and tomatoes (BEULLENS et al, 2009), as well as for detection of polyphenolic compounds from red wine (MARTELO-VIDAL & VÁZQUEZ, 2014b) and nutritional compounds determination from yogurt (MOROS et al, 2006) and cheese (SUBRAMANIAN et al, 2011). Most of these quantitative determinations were validated by multivariate statistics or chemometrics.…”
mentioning
confidence: 99%
“…There are several multivariate calibration methods to extract the spectral data for each compound in a mixture with similar spectral characteristics. Partial least-squares (PLS) is a usual tool for multivariate calibration because of the quality of the obtained calibration models, the ease of its application, and the availability of software (6). PLS is based on linear relationship between response and intensity of absorption bands (7), but this algorithm involves matrix inverting operation and also application of this technique has been restricted with few deviations from linearity.…”
Section: Introductionmentioning
confidence: 99%