Evidence map›Paper›PMID 40842492›Full record

ArticleSensors & diagnostics2024

Colorimetric nano-biosensor for low-resource settings: insulin as a model biomarker.

Zia Ul Quasim Syed, Sathya Samaraweera, Zhuo Wang, Sadagopan Krishnan

Abstract read
In one paragraph

Article in Sensors & diagnostics, 2024. 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. 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.

Zia Ul Quasim SyedDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, USA.
Sathya SamaraweeraDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, USA.
Zhuo WangDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, USA.
Sadagopan KrishnanDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, USA.ORCID 0000-0002-9968-2712

Funding

Multiplex Hybridization Colorimetric Sensor for Wild Type and Variant RNA BiomarkersR15EB034037 · NIBIB · OKLAHOMA STATE UNIVERSITY STILLWATER · PI KRISHNAN, SADAGOPAN · 2023 to 2023
$439k
NIBIB NIH HHS R15 EB034037
6 · The paper itself

Abstract

Biomarkers provide critical molecular insights into diseases and abnormal conditions. However, detecting them at ultra-low concentrations is a challenge, particularly in areas with limited resources and access to sophisticated instruments. Our research is primarily focused on mitigating this challenge. In this report, we introduce a colorimetric immunosensor for detecting insulin, an essential hormone biomarker that regulates glucose metabolism, at picomolar concentrations using citrate-functionalized magnetic particles. This immunosensor utilizes a two-antibody sandwich immunoassay: one antibody is covalently conjugated to the nanoparticles to capture and isolate the target marker, while the other is labeled with horseradish peroxidase for colorimetric detection of insulin. We conducted comparative analyses of insulin detection in buffer, saliva, and serum samples, offering valuable analytical insights. Our findings indicate a detection limit of 10 pM, with dynamic ranges of 10 pM to 1 nM, 10 pM to 10 nM, and 50 pM to 1 nM for insulin detection in buffer solution, 2-fold diluted serum, and 20-fold diluted artificial saliva, respectively. We demonstrate the application of the color immunosensor to type 1 diabetes and healthy human serum samples. For human saliva analysis, the detection limit needs to be improved in our future studies. Overall, our study enhances biomarker analysis in biofluids through an equipment-free colorimetric method, which is particularly relevant for point-of-need applications.

Identifiers

PMID40842492
PMCPMC12365680

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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.