Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.9/2026
Título: Use of Multi-parameter Flow Cytometry as Tool to Monitor the Impact of Formic Acid on Saccharomyces carlsbergensis Batch Ethanol Fermentations
Autor: Freitas, Claúdia
Neves, Elisabete
Reis, Alberto
Passarinho, Paula C.
Silva, Teresa Lopes da
Palavras-chave: Lignocellulosic materials
Bioethanol
Saccharomyces carlsbergensis
Formic acid
Flow cytometry
Data: 2013
Editora: Springer
Citação: Freitas, C.; Neves, E.; Reis, A.; Passarinho, Paula C.; Silva, T. Lopes da. Use of Multi-parameter Flow Cytometry as Tool to Monitor the Impact of Formic Acid on Saccharomyces carlsbergensis Batch Ethanol Fermentations. In: Applied Biochemistry and Biotechnology, 2013, Vol. 169, nº 7, p. 2038-2048
Resumo: The use of lignocellulosic materials as substrate for bioethanol production is considered a cost-effective approach to make the biofuel production process economically sustainable. However, lignocellulosic hydrolysis releases toxic compounds such as weak acids which inhibit microorganism growth and ethanol production. In order to understand the physiological response of Saccharomyces carlsbergensis when fermenting glucose in the presence of formic acid (HF), the yeast growth was monitored by multi-parameter flow cytometry. Cytoplasmic membrane potential decreased as the HF concentration increased and as the yeast culture reached the stationary phase. However, the proportion of cells with permeabilized membrane did not increase with the HF concentration increase. The accumulation of reactive oxygen species was also monitored. Control and fermentations at low HF concentrations (<1 g/L) resulted in a high proportion of highly oxidized cells at the stationary phase. The multi-parameter flow cytometry approach proved to be a useful tool to monitor the physiological stress response of S. carlsbergensis growth and ethanol production in the presence of HF, an inhibitor present in lignocellulosic hydrolysates. The information here obtained at near real time can be used to enhance second-generation bioethanol production process efficiency.
URI: http://hdl.handle.net/10400.9/2026
ISSN: 0273-2289
Versão do Editor: http://dx.doi.org/10.1007/s12010-012-0055-4
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