Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15417
Title: Metabolic responses of Escherichia coli upon glucose pulses captured by a capacitive field-effect sensor
Authors: HUCK, Christina 
Schiffels, Johannes
Herrera, Cony N.
Schelden, Maximilian
Selmer, Thorsten
Poghossian, Arshak
Baumann, Marcus E. M.
WAGNER, Patrick 
Schoening, Michael J.
Issue Date: 2013
Publisher: WILEY-V C H VERLAG GMBH
Source: PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE, 210 (5), p. 926-931
Abstract: Living cells are complex biological systems transforming metabolites taken up from the surrounding medium. Monitoring the responses of such cells to certain substrate concentrations is a challenging task and offers possibilities to gain insight into the vitality of a community influenced by the growth environment. Cell-based sensors represent a promising platform for monitoring the metabolic activity and thus, the welfare of relevant organisms. In the present study, metabolic responses of the model bacterium Escherichia coli in suspension, layered onto a capacitive field-effect structure, were examined to pulses of glucose in the concentration range between 0.05 and 2mM. It was found that acidification of the surrounding medium takes place immediately after glucose addition and follows MichaelisMenten kinetic behavior as a function of the glucose concentration. In future, the presented setup can, therefore, be used to study substrate specificities on the enzymatic level and may as well be used to perform investigations of more complex metabolic responses. Conclusions and perspectives highlighting this system are discussed.
Notes: Aachen Univ Appl Sci, Inst Nano & Biotechnol INB, D-52428 Julich, Germany. Forschungszentrum Julich, Peter Grunberg Inst PGI 8, D-52525 Julich, Germany. Hasselt Univ, Inst Mat Res IMO, B-3590 Diepenbeek, Belgium.
Keywords: Materials Science, Multidisciplinary; Physics, Applied; Physics, Condensed Matter;cell-based sensor; cell suspension; field-effect sensor; process monitoring
Document URI: http://hdl.handle.net/1942/15417
ISSN: 1862-6300
e-ISSN: 1862-6319
DOI: 10.1002/pssa.201200900
ISI #: 000319151900016
Category: A1
Type: Journal Contribution
Validations: ecoom 2014
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
huck 1.pdf
  Restricted Access
Published version370.29 kBAdobe PDFView/Open    Request a copy
Show full item record

SCOPUSTM   
Citations

11
checked on Sep 2, 2020

WEB OF SCIENCETM
Citations

11
checked on Apr 30, 2024

Page view(s)

28
checked on Sep 7, 2022

Download(s)

14
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.