Evidence map›Paper›PMID 28594350›Full record

ArticleInternational journal of molecular sciences2017

Micro-Electromechanical Affinity Sensor for the Monitoring of Glucose in Bioprocess Media.

Lorenz Theuer, Micha Lehmann, Stefan Junne, Peter Neubauer, Mario Birkholz

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Article
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 at 2 institutions in 1 country.

Lorenz TheuerChair of Bioprocess Engineering, Department of Biotechnology, Technical University Berlin, ACK24, Ackerstr. 76, 13355 Berlin, Germany. lorenz.theuer@ri.se.
Micha LehmannChair of Bioprocess Engineering, Department of Biotechnology, Technical University Berlin, ACK24, Ackerstr. 76, 13355 Berlin, Germany. micha.lehmann@hotmail.de.
Stefan JunneChair of Bioprocess Engineering, Department of Biotechnology, Technical University Berlin, ACK24, Ackerstr. 76, 13355 Berlin, Germany. stefan.junne@tu-berlin.de.
Peter NeubauerChair of Bioprocess Engineering, Department of Biotechnology, Technical University Berlin, ACK24, Ackerstr. 76, 13355 Berlin, Germany. peter.neubauer@tu-berlin.de.
Mario BirkholzIHP, Im Technologiepark 25, 15236 Frankfurt (Oder), Germany. birkholz@ihp-microelectronics.com.
Technische Universität Berlin · DEInstitut für Solartechnologien (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An affinity-viscometry-based micro-sensor probe for continuous glucose monitoring was investigated with respect to its suitability for bioprocesses. The sensor operates with glucose and dextran competing as binding partner for concanavalin A, while the viscosity of the assay scales with glucose concentration. Changes in viscosity are determined with a micro-electromechanical system (MEMS) in the measurement cavity of the sensor probe. The study aimed to elucidate the interactions between the assay and a typical phosphate buffered bacterial cultivation medium. It turned out that contact with the medium resulted in a significant long-lasting drift of the assay's viscosity at zero glucose concentration. Adding glucose to the medium lowers the drift by a factor of eight. The

Indexed as

Biosensing TechniquesGlucoseMicro-Electrical-Mechanical SystemsViscosityGlucoseaffinity assaybacterial culture mediabioprocessconcanavalin Aglucose monitoringviscometer

Identifiers

PMID28594350
PMCPMC5486058
OpenAlexW2622858400

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.