Evidence map›Paper›PMID 39590018›Full record

ArticleBiosensors2024

A Paper-Based Assay for the Determination of Total Antioxidant Capacity in Human Serum Samples.

Michelle T Tran, Sophia V Gomez, Vera Alenicheva, Vincent T Remcho

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Bioavailability for the Improved Therapeutic Profile ofInternational journal of molecular sciences · 2025
    Article
  5. Review
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.

Michelle T TranDepartment of Chemistry, Oregon State University, Corvallis, OR 97331, USA.ORCID 0000-0001-5669-9509
Sophia V GomezDepartment of Chemistry, Oregon State University, Corvallis, OR 97331, USA.
Vera AlenichevaDepartment of Chemistry, Oregon State University, Corvallis, OR 97331, USA.ORCID 0009-0006-7752-7750
Vincent T RemchoDepartment of Chemistry, Oregon State University, Corvallis, OR 97331, USA.ORCID 0000-0002-9188-6438

Funding

NASA 80NSSC20K1173
6 · The paper itself

Abstract

Determining the total antioxidant capacity (TAC) of biological samples is a valuable approach to measuring health status under oxidative stress conditions, such as infertility and type 2 diabetes. The Trolox equivalent antioxidant capacity (TEAC) assay is the most common approach to evaluating TAC in biological matrices. This assay is typically performed in clinical settings on a microtiter plate using a plate reader. However, the instrumentation and expertise requirements, and the resulting delay in the reporting of assay outcomes, make solution-based TEAC assays impractical for point-of-care or at-home testing, where individuals may want to monitor their health status during treatment. This work introduces the first microfluidic paper-based analytical device (µPAD) that measures TAC in human serum using TEAC assay chemistry. TAC was determined through a colorimetric image analysis of the degree of decolorization of 2,2'-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) radical cations (ABTS

Indexed as

AntioxidantsPaperBenzothiazolesColorimetryHumansOxidative StressSulfonic Acids2,2'-azino-di-(3-ethylbenzothiazoline)-6-sulfonic acidAntioxidantsBenzothiazolesSulfonic Acids2,2′-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS)antioxidantmicrofluidic paper-based analytical device (µPAD)total antioxidant capacity (TAC)Trolox equivalent antioxidant capacity (TEAC)

Identifiers

PMID39590018
PMCPMC11591649

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.