Evidence map›Paper›PMID 35162018›Full record

ArticleSensors (Basel, Switzerland)2022

Capacitive Sensor and Alternating Drive Mixing for Microfluidic Applications Using Micro Diaphragm Pumps.

Thomas Thalhofer, Mauro Keck, Sebastian Kibler, Oliver Hayden

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Periodic Flows in Microfluidics.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
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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

4 authors.

Thomas ThalhoferFraunhofer EMFT Research Institution for Microsystems and Solid State Technologies, Hansastrasse 27d, 80686 Munich, Germany.ORCID 0000-0001-8406-7269
Mauro KeckFraunhofer EMFT Research Institution for Microsystems and Solid State Technologies, Hansastrasse 27d, 80686 Munich, Germany.
Sebastian KiblerFraunhofer EMFT Research Institution for Microsystems and Solid State Technologies, Hansastrasse 27d, 80686 Munich, Germany.ORCID 0000-0003-2954-7889
Oliver HaydenHeinz-Nixdorf-Chair of Biomedical Electronics, TranslaTUM, Department of Electrical and Computer Engineering, TU Munich, Einsteinstrasse 25, 81675 Munich, Germany.

Funding

European Union H2020-ECSEL-2019-IA-876190
6 · The paper itself

Abstract

Microfluidic systems are of paramount importance in various fields such as medicine, biology, and pharmacy. Despite the plethora of methods, accurate dosing and mixing of small doses of liquid reagents remain challenges for microfluidics. In this paper, we present a microfluidic device that uses two micro pumps and an alternating drive pattern to fill a microchannel. With a capacitive sensor system, we monitored the fluid process and controlled the micro pumps. In a first experiment, the system was set up to generate a 1:1 mixture between two fluids while using a range of fluid packet sizes from 0.25 to 2 µL and pumping frequencies from 50 to 100 Hz. In this parameter range, a dosing accuracy of 50.3 ± 0.9% was reached, validated by a gravimetric measurement. Other biased mixing ratios were tested as well and showed a deviation of 0.3 ± 0.3% from the targeted mixing ratio. In a second experiment, Trypan blue was used to study the mixing behavior of the system. Within one to two dosed packet sets, the two reagents were reliably mixed. The results are encouraging for future use of micro pumps and capacitive sensing in demanding microfluidic applications.

Indexed as

DiaphragmMicrofluidicsalternating drive mixingcapacitive sensingmicrofluidic sensormicro pumps

Identifiers

PMID35162018
PMCPMC8839760

What OpenQuestion holds

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Registered trials

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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.