Evidence map›Paper›PMID 39536779›Full record

ArticleACS sensors2024

Computational Model-Assisted Development of a Nonenzymatic Fluorescent Glucose-Sensing Assay.

Lydia Colvin, Diana Al Husseini, Dandan Tu, Darin Dunlap, Tyler Lalonde, Muhammed Üçüncü, Alicia Megia-Fernandez, Mark Bradley, Wenshe Liu, Melissa A Grunlan and 1 more

Abstract read
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Lydia ColvinDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-2038-8888
Diana Al HusseiniDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-8646-8581
Dandan TuDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Darin DunlapDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.
Tyler LalondeDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.
Muhammed ÜçüncüSchool of Chemistry, University of Edinburgh, Edinburgh EH9 3FJ, U.K.
Alicia Megia-FernandezSchool of Chemistry, University of Edinburgh, Edinburgh EH9 3FJ, U.K.
Mark BradleySchool of Chemistry, University of Edinburgh, Edinburgh EH9 3FJ, U.K.ORCID 0000-0001-7893-1575
Wenshe LiuDepartment of Chemistry, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-7078-6534
Melissa A GrunlanDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-5428-0461
Gerard L CotéDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-3164-9625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep-red fluorescence was implemented in this fully injectable, nonenzymatic glucose biosensor design to allow for better light penetration through the skin, particularly for darker skin tones. In this work, a novel method was developed to synthesize Cy5.5 labeled mannose conjugates (Cy5.5-mannobiose, Cy5.5-mannotriose, and Cy5.5-mannotetraose) to act as the fluorescent competing ligand in a competitive binding assay with the protein Concanavalin A acting as the recognition molecule. Using fluorescence anisotropy (FA) data, a computational model was developed to determine optimal concentration ratios of the assay components to allow for sensitive glucose measurements within the physiological range. The model was experimentally validated by measuring the glucose response via FA of the three Cy5.5-labeled mannose conjugates synthesized with Cy5.5-mannotetraose demonstrating the most sensitive response to glucose across the physiological range. The developed method may be broadly applied to a vast range of commercially available fluorescent dyes and opens up opportunities for glucose measurements using nonenzymatic assays.

Indexed as

Biosensing TechniquesConcanavalin AFluorescent DyesGlucoseCarbocyaninesComputer SimulationFluorescence PolarizationMannoseCarbocyaninesConcanavalin AFluorescent DyesGlucoseMannosebiosensorcompetitive bindingconcanavalin Afluorescence anisotropyglucose sensingmannose

Identifiers

PMID39536779
PMCPMC11590106

What Socratic 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 Socratic graph.