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Carlsson Juhlin, Helena
Publications (2 of 2) Show all publications
Sundh, I., Carlsson Juhlin, H., Nordberg, A., Hansson, M. & Mathisen, B. (2003). Effects of glucose overloading on microbial community structure and biogas production in a laboratory-scale anaerobic digester. Bioresource Technology, 89(3), 237-243
Open this publication in new window or tab >>Effects of glucose overloading on microbial community structure and biogas production in a laboratory-scale anaerobic digester
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2003 (English)In: Bioresource Technology, ISSN 0960-8524, E-ISSN 1873-2976, Vol. 89, no 3, p. 237-243Article in journal (Refereed) Published
Abstract [en]

This study characterizes the response of the microbial communities of a laboratory-scale mesophilic biogas process, fed with a synthetic substrate based on cellulose and egg albumin, to single pulses of glucose overloading (15 or 25 times the daily feed based on VS). The microbial biomass and community structure were determined from analyses of membrane phospholipids. The ratio between phospholipid fatty acids (PLFAs; eubacteria and eucaryotes) and di-ethers (PLEL; archaea) suggested that methanogens constituted 4-8% of the microbial biomass. The glucose addition resulted in transient increases in the total biomass of eubacteria while there were only small changes in community structure. The total gas production rate increased, while the relative methane content of the biogas and the alkalinity decreased. However, the biomass of methanogens was not affected by the glucose addition. The results show that the microbial communities of biogas processes can respond quickly to changes in the feeding rate. The glucose overload resulted in a transient general stimulation of degradation rates and almost a doubling of eubacterial biomass, although the biomass increase corresponded to only 7% of the glucose C added. (C) 2003 Elsevier Science Ltd. All rights reserved.

Keywords
biogas, microbial community structure, PLFA, substrate overloads methanogenesis, Di-ether lipid
National Category
Microbiology
Identifiers
urn:nbn:se:lnu:diva-11586 (URN)10.1016/S0960-8524(03)00075-0 (DOI)000184191100003 ()
Note
wosMMIIIAvailable from: 2011-05-06 Created: 2011-05-06 Last updated: 2017-12-11Bibliographically approved
Nordberg, A., Hansson, M., Sundh, I., Nordkvist, E., Carlsson Juhlin, H. & Mathisen, B. (2000). Monitoring of a biogas process using electronic gas sensors and near-infrared spectroscopy (NIR). Paper presented at International Symposium on Anaerobic Digestion of Solid Waste BARCELONA, SPAIN, JUN 15-18, 1999. Water Science and Technology, 41(3), 1-8
Open this publication in new window or tab >>Monitoring of a biogas process using electronic gas sensors and near-infrared spectroscopy (NIR)
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2000 (English)In: Water Science and Technology, ISSN 0273-1223, E-ISSN 1996-9732, Vol. 41, no 3, p. 1-8Article in journal (Refereed) Published
Abstract [en]

The use of electronic gas sensors and near-infrared spectroscopy (NIR) to monitor the dynamics in a biogas process was evaluated using multivariate data analysis. The digester, a completely stirred 81 tank reactor fed with a mixture of cellulose, albumin and minerals, was exposed to an overload of glucose after which monitoring of electronic gas sensor responses, NIR spectra as well as traditional chemical variables and analysis of microbial community structure were done. The responses from an array of electronic gas sensors consisting of MOS and MOSFET-sensors were correlated against volatile compounds in the headspace using partial least square (PLS) regressions. The root mean square error of prediction (RMSEP) was 0.15 g/l for acetate in the range of 0.14-1.72 g/l and the RMSEP for methane was 2.3% in the range of 27-73%. Selected wavelengths from the second derivative of the original NIR spectra (400-2500 nm) resulted in a PLS-model for predicting microbial biomass, measured as total phospholipid fatty acids, with a RMSEP of 9 nmol/ml in the range of 163-293 nmol/ml. The NIR model developed for acetate had a RMSEP of 0.20 g/l within the range of 0.14-1.72 g/l. The results clearly show that both NIR and an array of electronic gas sensors can provide simultaneous non-invasive in situ monitoring of important process variables in anaerobic digesters.

Keywords
anaerobic digestion, electronic gas sensors, multivariate data analysis, near-infrared spectroscopy, on-line monitoring, organic overload
National Category
Microbiology
Identifiers
urn:nbn:se:lnu:diva-11587 (URN)000086885400002 ()
Conference
International Symposium on Anaerobic Digestion of Solid Waste BARCELONA, SPAIN, JUN 15-18, 1999
Note
wos2000Available from: 2011-05-06 Created: 2011-05-06 Last updated: 2017-12-11Bibliographically approved

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