@article{WulfhorstDuweMerseburgetal.2016, author = {Wulfhorst, Helene and Duwe, Anna-Maria and Merseburg, Johannes and Tippk{\"o}tter, Nils}, title = {Compositional analysis of pretreated (beech) wood using differential scanning calorimetry and multivariate data analysis}, series = {Tetrahedron}, volume = {72}, journal = {Tetrahedron}, number = {46}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.tet.2016.04.029}, pages = {7329 -- 7334}, year = {2016}, abstract = {The composition of plant biomass varies depending on the feedstock and pre-treatment conditions and influences its processing in biorefineries. In order to ensure optimal process conditions, the quantitative proportion of the main polymeric components of the pre-treated biomass has to be determined. Current standard procedures for biomass compositional analysis are complex, the measurements are afflicted with errors and therefore often not comparable. Hence, new powerful analytical methods are urgently required to characterize biomass. In this contribution, Differential Scanning Calorimetry (DSC) was applied in combination with multivariate data analysis (MVA) to detect the cellulose content of the plant biomass pretreated by Liquid Hot Water (LHW) and Organosolv processes under various conditions. Unlike conventional techniques, the developed analytic method enables the accurate quantification of monosaccharide content of the plant biomass without any previous sample preparation. It is easy to handle and avoids errors in sample preparation.}, language = {en} } @article{WackwitzBongaertsGoodmanetal.1999, author = {Wackwitz, B. and Bongaerts, Johannes and Goodman, S. D. and Unden, Gottfried}, title = {Growth phase-dependent regulation of nuoA-N expression in Escherichia coli K-12 by the Fis protein: upstream binding sites and bioenergetic significance}, series = {Molecular and general genetics : MGG}, volume = {Vol. 262}, journal = {Molecular and general genetics : MGG}, number = {Iss. 4 - 5}, issn = {1617-4623 (E-Journal); 1617-4615 (Print)}, pages = {876 -- 883}, year = {1999}, language = {en} } @article{TippkoetterRoikaewUlber2008, author = {Tippk{\"o}tter, Nils and Roikaew, W. and Ulber, Roland}, title = {Nitrate removal from whey concentrate with biotechnological regeneration of the waste water}, series = {European dairy magazine : EDM}, journal = {European dairy magazine : EDM}, number = {1}, isbn = {0936-6318}, pages = {30 -- 32}, year = {2008}, language = {en} } @article{UndenBeckerBongaertsetal.1995, author = {Unden, G. and Becker, S. and Bongaerts, Johannes and Holighaus, G. and Schirawski, J. and Six, S.}, title = {O2-sensing and O2-dependent gene regulation in facultatively anaerobic bacteria}, series = {Archives of microbiology}, volume = {Vol. 164}, journal = {Archives of microbiology}, number = {Iss. 2}, issn = {1432-072X (E-Journal); 0003-9276 (Print); 0302-8933 (Print)}, pages = {81 -- 90}, year = {1995}, language = {en} } @article{TippkoetterDeterdingUlber2008, author = {Tippk{\"o}tter, Nils and Deterding, A. and Ulber, Roland}, title = {Determination of acetic acid in fermentation broth by gas-diffusion technique}, series = {Engineering in Life Sciences}, volume = {8}, journal = {Engineering in Life Sciences}, number = {1, Special Issue: Technical Systems for the Use in Life Sciences}, doi = {10.1002/elsc.200820227}, pages = {62 -- 67}, year = {2008}, abstract = {Due to the interfering effects of acetic acid in many fermentation processes, a gas-diffusion technique was developed for the online determination of acetic acid. The measurements were accomplished with a flow diffusion analysis (FDA) unit from the TRACE Analytics GmbH, Braunschweig, Germany. The diffusion analysis is based on the UV-absorbance of acetic acid at 205 nm. The measurement was achieved by the separation of an acceptor and a carrier stream (acidified fermentation broth) using a gas permeable polytetrafluoroethylene (PTFE) membrane, whereby broth constituents that would otherwise disturb the UV-measurement of acetic acid, are held back efficiently. Merely, the fermentation by-products, e.g. formic acid, is capable of diffusing through the membrane. While formic acid can disturb the measurement, carbon dioxide does not absorb at 205 nm. The method operates with time-dependent sample enrichment. During the analysis, a small volume of the acceptor stream is stopped for a defined time interval in the acceptor chamber. During this period, the gaseous acetic acid diffuses through the membrane and is enriched in the acceptor chamber. Subsequently after the enrichment, the acceptor stream flows through a UV-detector. The intensity of the signal is proportional to the acetic acid concentration. Online measurements in bioreactors via a sterile filtration probe have been accomplished. A linear calibration in the range of 0.5-5.0 g/L acetic acid with a relative standard deviation of <5 \% was obtained. A sampling rate of 8 samples per hour was possible. The system was applied for the determination of acetic acid in E. coli fermentation broth. The instrument is easy to clean, very user-friendly and does not require any toxic or expensive reagents.}, language = {en} } @article{BaeckerRakowskiPoghossianetal.2013, author = {B{\"a}cker, Matthias and Rakowski, D. and Poghossian, Arshak and Biselli, Manfred and Wagner, Patrick and Sch{\"o}ning, Michael Josef}, title = {Chip-based amperometric enzyme sensor system for monitoring of bioprocesses by flow-injection analysis}, series = {Journal of Biotechnology}, volume = {163}, journal = {Journal of Biotechnology}, number = {4}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0168-1656}, doi = {10.1016/j.jbiotec.2012.03.014}, pages = {371 -- 376}, year = {2013}, abstract = {A microfluidic chip integrating amperometric enzyme sensors for the detection of glucose, glutamate and glutamine in cell-culture fermentation processes has been developed. The enzymes glucose oxidase, glutamate oxidase and glutaminase were immobilized by means of cross-linking with glutaraldehyde on platinum thin-film electrodes integrated within a microfluidic channel. The biosensor chip was coupled to a flow-injection analysis system for electrochemical characterization of the sensors. The sensors have been characterized in terms of sensitivity, linear working range and detection limit. The sensitivity evaluated from the respective peak areas was 1.47, 3.68 and 0.28 μAs/mM for the glucose, glutamate and glutamine sensor, respectively. The calibration curves were linear up to a concentration of 20 mM glucose and glutamine and up to 10 mM for glutamate. The lower detection limit amounted to be 0.05 mM for the glucose and glutamate sensor, respectively, and 0.1 mM for the glutamine sensor. Experiments in cell-culture medium have demonstrated a good correlation between the glutamate, glutamine and glucose concentrations measured with the chip-based biosensors in a differential-mode and the commercially available instrumentation. The obtained results demonstrate the feasibility of the realized microfluidic biosensor chip for monitoring of bioprocesses.}, language = {en} } @article{TranBongaertsVladetal.1997, author = {Tran, Quang Hon and Bongaerts, Johannes and Vlad, Dorina and Unden, Gottfried}, title = {Requirement for the proton-pumping NADH dehydrogenase I of Escherichia coli in respiration of NADH to fumarate and its bioenergetic implications}, series = {European journal of biochemistry}, volume = {Vol. 244}, journal = {European journal of biochemistry}, number = {Iss. 1}, issn = {0014-2956}, pages = {155 -- 160}, year = {1997}, language = {en} } @article{WiegandVoigtAlbrechtetal.2013, author = {Wiegand, Sandra and Voigt, Birgit and Albrecht, Dirk and Bongaerts, Johannes and Evers, Stefan and Hecker, Michael and Daniel, Rolf and Liesegang, Heiko}, title = {Fermentation stage-dependent adaptations of Bacillus licheniformis during enzyme production}, series = {Microbial Cell Factories}, volume = {12}, journal = {Microbial Cell Factories}, publisher = {Biomed Central}, address = {London}, issn = {1475-2859}, doi = {10.1186/1475-2859-12-120}, pages = {120}, year = {2013}, language = {en} } @article{ZientzBongaertsUnden1998, author = {Zientz, Evelyn and Bongaerts, Johannes and Unden, Gottfried}, title = {Fumarate regulation of gene expression in Escherichia coli by the DcuSR (dcuSR genes) two-component regulatory system}, series = {Journal of bacteriology}, volume = {Vol. 180}, journal = {Journal of bacteriology}, number = {No. 20}, issn = {1098-5530 (E-Journal); 0021-9193 (Print)}, pages = {5421 -- 5425}, year = {1998}, language = {en} } @article{WiesenTippkoetterMuffleretal.2014, author = {Wiesen, Sebastian and Tippk{\"o}tter, Nils and Muffler, Kai and Suck, Kirstin and Sohling, Ulrich and Ruf, Nils and Ulber, Roland}, title = {Adsorptive Vorbehandlung von Rohglycerin f{\"u}r die 1,3-Propandiol Fermentation mit Clostridium diolis}, series = {Chemie Ingenieur Technik}, volume = {86}, journal = {Chemie Ingenieur Technik}, number = {1-2}, publisher = {Wiley-VCH}, address = {Weinheim}, doi = {10.1002/cite.201300080}, pages = {129 -- 135}, year = {2014}, abstract = {Bei der Gewinnung von Fetts{\"a}uren aus Pflanzen{\"o}len, z. B. zur Herstellung von Biopolymeren, oder bei der Biodiesel- und Seifenproduktion, f{\"a}llt Glycerin als Nebenprodukt an. Bei der Biokonversion dieses Rohstoffes zu 1,3-Propandiol wird der Produktionsorganismus Clostridium diolis durch Verunreinigungen im Rohglycerin gehemmt. Als inhibierende Substanzen konnten freie Fetts{\"a}uren identifiziert werden. Mithilfe eines adsorptiven Aufarbeitungsverfahrens ist es gelungen, die Fetts{\"a}uren zu entfernen und die Konversionseffizienz zu 1,3-Propandiol zu erh{\"o}hen.}, language = {de} }