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  4. Automated fast filtration and on-filter quenching improve the intracellular metabolite analysis of microorganisms
 
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Automated fast filtration and on-filter quenching improve the intracellular metabolite analysis of microorganisms

Citation Link: https://doi.org/10.15480/882.3694
Publikationstyp
Journal Article
Date Issued
2014-11-20
Sprache
English
Author(s)
Da Luz, Julian  
Hans, Enrico  
Zeng, An-Ping  orcid-logo
Institut
Bioprozess- und Biosystemtechnik V-1  
TORE-DOI
10.15480/882.3694
TORE-URI
http://hdl.handle.net/11420/9990
Journal
Engineering in life sciences  
Volume
14
Issue
2
Start Page
135
End Page
142
Citation
Engineering in Life Sciences 14 (2): 135-142 (2014)
Publisher DOI
10.1002/elsc.201300099
Scopus ID
2-s2.0-84895921103
Publisher
Wiley-VCH
To reliably determine intracellular metabolite concentrations in microorganisms, accurate sampling and sample inactivation strategies are crucial. Here, we present a method for automated fast filtration and on-filter quenching of microbial samples to overcome metabolite leakage induced by cold shock and significantly reduce the sampling and treatment time compared to manual filtration methods. The whole process of sampling, sample filtration, filter wash, and quenching of the filter with liquid nitrogen was finished in less than 6-15 s, depending on the experimental setup. By integration into an automated fast sampling device, we compared our method to the conventional methanol quenching method and showed that intracellular amino acid contents in Escherichia coli were significantly increased (≥75%) with our fast filtration and on-filter quenching method. Furthermore, we investigated different filter types for the fast filtration and the efficiency of metabolite extraction from cells held on filters. Additionally, we found that the fast filtration behaves considerably different during exponential and nonexponential growth, probably due to variations of cell morphologies. Overall, we demonstrated that the automation of the fast filtration method significantly reduces the time for filtration and quenching and hence enlarge the number of metabolites that can be quantified with this leakage-free sampling method. © 2013 The Authors. Engineering in Life Sciences published by Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
Subjects
Escherichia coli
Fast sampling
Metabolite leakage
Metabolomics
Methanol quenching
DDC Class
570: Biowissenschaften, Biologie
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-nd/3.0/de/
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