Evidence map›Paper›PMID 33834362›Full record

ArticleApplied biochemistry and biotechnology2021

Development of an Integrated Optical Sensor for Determination of β-Hydroxybutyrate Within the Microplatform.

Utku Devamoglu, Irem Duman, Ecem Saygili, Ozlem Yesil-Celiktas

Abstract read
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Article in Applied biochemistry and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Colorimetric CuACS omega · 2022
    Article
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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.

Utku DevamogluDepartment of Bioengineering, Faculty of Engineering, Ege University, 35100, Bornova, Izmir, Turkey.ORCID https://orcid.org/0000-0002-0915-8010
Irem DumanDepartment of Bioengineering, Faculty of Engineering, Ege University, 35100, Bornova, Izmir, Turkey.ORCID https://orcid.org/0000-0003-1375-9940
Ecem SaygiliDepartment of Bioengineering, Faculty of Engineering, Ege University, 35100, Bornova, Izmir, Turkey.ORCID https://orcid.org/0000-0002-8389-9079
Ozlem Yesil-CeliktasDepartment of Bioengineering, Faculty of Engineering, Ege University, 35100, Bornova, Izmir, Turkey. ozlem.yesil.celiktas@ege.edu.tr.ORCID http://orcid.org/0000-0003-4509-2212

Funding

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu 1919B011800241
6 · The paper itself

Abstract

Ketone bodies (acetoacetate, beta-hydroxybutyrate (βHB), acetone) are generated as a result of fatty acid oxidation in the liver and exist at low concentrations in urine and blood. Elevated concentrations can indicate health problems such as diabetes, childhood hypoglycemia, alcohol, or salicylate poisoning. Development of portable and cost-effective bedside point-of-care (POC) tests to detect such compounds can help to reduce the risk of disease progression. In this study, βHB was chosen as a model molecule for developing an optical sensor-integrated microplatform. Prior to sensor optimization, βHB levels were measured at a concentration range of 0.02 and 0.1 mM spectrophotometrically, which is far below the reported elevated ranges of 1-2 mM and resulting absorbance changes were converted into an Arduino microcontroller code for the correlation. Measurements performed with the designed integrated microplatform were found significant. Integrated microplatform was verified with the benchtop spectrophotometer. Measurements between 0.02 and 0.1 mM substrate concentration were found highly sensitive with "y = 0.7347x + 0.00184" with R

Indexed as

3-Hydroxybutyric AcidOptics and PhotonicsPoint-of-Care TestingHumans3-Hydroxybutyric AcidKetone bodiesMicroplatformOptical sensorPoint-of-care tests

Identifiers

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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.