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Oxygen uptake rate as a tool for on-line estimation of cell biomass and bed temperature in a novel solid-state fermentation bioreactor.

Authors :
Arora S
Singh P
Rani R
Ghosh S
Source :
Bioprocess and biosystems engineering [Bioprocess Biosyst Eng] 2018 Jul; Vol. 41 (7), pp. 917-929. Date of Electronic Publication: 2018 Mar 21.
Publication Year :
2018

Abstract

Direct measurement of cell biomass is difficult in a solid-state fermentation (SSF) process involving filamentous fungi since the mycelium and the solid substrate are often inseparable. However, respiratory data are rich in information for real-time monitoring of microbial biomass production. In this regard, a correlation was obtained between oxygen uptake rate (OUR) and biomass concentration (X) of Rhizopus oryzae MTCC 1987, during phytase production, in an intermittently mixed novel SSF bioreactor. To obtain the correlation, various models describing sigmoidal growth were tested, namely the logistic, Gompertz, Stannard, and Schnute models. Regression analysis of experimental results, at different operating conditions of inlet air flow rate and relative humidity suggested that OUR and X were correlated well by the logistic model (R <superscript>2</superscript>  > 0.90). To corroborate the use of respiratory data for on-line measurement of metabolic activity, OUR was related to metabolic heat generation rate (R <subscript>q</subscript> ), and the logistic model was found to satisfactorily correlate R <subscript>q</subscript> and X as well. The model parameter, Y <subscript>Q/X</subscript> , when substituted into a heat transfer design equation, along with the values of other parameters and operating variables, gave reliable estimates of bed temperature. The correlations developed in the present study, between respiratory activity and biomass concentration may be extended on to other SSF processes for further validation and real-time monitoring of cell biomass and bed temperature.

Details

Language :
English
ISSN :
1615-7605
Volume :
41
Issue :
7
Database :
MEDLINE
Journal :
Bioprocess and biosystems engineering
Publication Type :
Academic Journal
Accession number :
29564535
Full Text :
https://doi.org/10.1007/s00449-018-1923-2