Evidence map›Paper›PMID 33670022›Full record

ArticleSensors (Basel, Switzerland)2021

Towards Easy-to-Use Bacteria Sensing: Modeling and Simulation of a New Environmental Impedimetric Biosensor in Fluids.

Christian Pfeffer, Yue Liang, Helmut Grothe, Bernhard Wolf, Ralf Brederlow

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Christian PfefferDepartment of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, Germany.ORCID 0000-0002-8583-0921
Yue LiangDepartment of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, Germany.
Helmut GrotheDepartment of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, Germany.
Bernhard WolfSteinbeistransferzentrum für Medizinische Elektronik und Lab-on-Chip Systeme, 80802 Munich, Germany.
Ralf BrederlowDepartment of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, Germany.ORCID 0000-0002-8118-757X

Funding

ZIM ZF4746801BA9
6 · The paper itself

Abstract

Conventional pathogenic bacteria-detection methods are lab-bound, time-consuming and need trained personnel. Microelectrodes can be used to recognize harmful microorganisms by dielectric impedance spectroscopy. However, crucial for this spectroscopy method are the spatial dimensions and layout of the electrodes, as the corresponding distribution of the electric field defines the sensor system parameters such as sensitivity, SNR, and dynamic range. Therefore, a variety of sensor models are created and evaluated. FEM simulations in 2D and 3D are conducted for this impedimetric sensor. The authors tested differently shaped structures, verified the linear influence of the excitation amplitude and developed a mathematical concept for a quality factor that practically allows us to distinguish arbitrary sensor designs and layouts. The effect of guard electrodes blocking outer influences on the electric field are investigated, and essential configurations are explored. The results lead to optimized electronic sensors in terms of geometrical dimensions. Possible material choices for real sensors as well as design and layout recommendations are presented.

Indexed as

Biosensing TechniquesDielectric SpectroscopyMicroelectrodesBacteriaElectric Impedancebacteria detectionbacteria sensorbiosensorelectrochemical sensorFEM simulationimpedance spectroscopypathogenssensor design

Identifiers

PMID33670022
PMCPMC7926956

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.