Evidence map›Paper›PMID 42382728›Full record

ArticleIEEE sensors letters2026

Development of an Insertable Enzymatic Sensor Towards

Rebekah E Lindblade, Ridhi Pradhan, Michael J McShane

Abstract read
In one paragraph

Article in IEEE sensors letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rebekah E LindbladeDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Ridhi PradhanDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Michael J McShaneDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.

Funding

Minimally-invasive technology for personalized nutritional monitoringR01DK136414 · NIDDK · TEXAS ENGINEERING EXPERIMENT STATION · PI Nicolaas E Deutz, Ricardo Gutierrez-Osuna · 2023 to 2026
$2.5M
NIDDK NIH HHS R01 DK136414
6 · The paper itself

Abstract

In this study, an insertable chemo-optical sensor was designed for the purpose of monitoring in vivo levels of amino acids. To sense amino acids using a platform previously demonstrated for other enzymatic substrates (glucose, lactate, uric acid), the oxidative enzyme L-amino acid oxidase (LAAO) was selected. Initially, LAAO was characterized to quantify its utility as a potential amino acid sensor; it was found to be responsive to 14 of the 20 L-amino acids found in the body. LAAO was then incorporated into alginate microparticles along with oxygen-quenched phosphorescent ethyl cellulose nanoparticles to form an optically responsive sensing domain. Increases in analyte concentration were found to decrease the oxygen concentration as the LAAO reacted oxidatively with the amino acids, inducing the phosphorescent nanoparticles to emit longer lifetimes. Microparticles were coated with polyelectrolyte nanofilms and encapsulated into hydrogels to tune the sensitivity and response range. Prototype sensors tested at the conditions expected in subcutaneous tissue (37°C and 30 μM O

Indexed as

Amino AcidsChemo-optical SensingL-Amino Acid OxidaseNutrition Monitoring

Identifiers

PMID42382728
PMCPMC13318411

What OpenQuestion holds

Textmetadata
LicenceTDM
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.