Evidence map›Paper›PMID 42630892›Full record

ArticleACS measurement science au2026

β‑Anomeric Mannopentaose-Based Nonenzymatic NIR Glucose Sensor Enabling Cost-Effective Continuous Monitoring.

Sayantan Tripathy, Diana Al Husseini, Carolina I Martinez, Anthony Dongchau, Samyucktha Ganesapandian, Melissa A Grunlan, Gerard L Cote

Abstract read
In one paragraph

Article in ACS measurement science au, 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

7 authors.

Sayantan TripathyDepartment of Biomedical Engineering, Texas A&M University, 600 Discovery Drive, College Station, Texas 77840-3006, United States.ORCID https://orcid.org/0000-0002-9536-5947
Diana Al HusseiniDepartment of Biomedical Engineering, Texas A&M University, 600 Discovery Drive, College Station, Texas 77840-3006, United States.
Carolina I MartinezCenter for Remote Health Technologies and Systems, Texas A&M University, 600 Discovery Drive, College Station, Texas 77840-3006, United States.
Anthony DongchauDepartment of Biomedical Engineering, Texas A&M University, 600 Discovery Drive, College Station, Texas 77840-3006, United States.ORCID https://orcid.org/0009-0005-9136-2270
Samyucktha GanesapandianDepartment of Biomedical Engineering, Texas A&M University, 600 Discovery Drive, College Station, Texas 77840-3006, United States.
Melissa A GrunlanDepartment of Biomedical Engineering, Texas A&M University, 600 Discovery Drive, College Station, Texas 77840-3006, United States.ORCID https://orcid.org/0000-0002-5428-0461
Gerard L CoteDepartment of Biomedical Engineering, Texas A&M University, 600 Discovery Drive, College Station, Texas 77840-3006, United States.ORCID https://orcid.org/0000-0002-3164-9625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we present a novel, fully injectable, nonenzymatic glucose biosensing platform that uses NIR fluorescence from a PEGylated-ConA and Cy5.5-β-mannopentaose complex to achieve highly sensitive and stable detection. The proof-of-concept assay is designed for high sensitivity, long-term stability, a small size to permit injectability or minimal invasiveness, suitability across all skin tones, and cost-effectiveness. As a control, an analogous assay was prepared with the α-anomeric form (i.e., Cy5.5-α-mannopentaose), which is 10X costlier. Using fluorescence anisotropy, a computational model was developed to optimize the concentration ratios of assay components for sensitive glucose detection within the physiological range. Both conjugates demonstrated comparable responsiveness across physiological glucose concentrations, with Cy5.5-β-mannopentaose exhibiting a broader dynamic range (25-400 mg/dL) in buffer and comparable binding affinity. In addition, performance was validated in artificial interstitial fluid with Cy5.5-β-mannopentaose showing reproducible solvatochromism across the full blood glucose range (25-400 mg/dL), with strong responsiveness maintained within the physiologically relevant subcutaneous window. To further validate its ability to be housed in a membrane carrier, the Cy5.5-β-mannopentaose solution was placed in the cavity of a hollow hydrogel rod with known antifouling properties and mesh size, and >94% was retained over a 7-day period. These results establish β-mannopentaose as a promising low-cost ligand for ConA-based glucose sensing systems and support its potential use in the future development of minimally invasive and scalable glucose sensing approaches.

Indexed as

concanavalin Afluorescence anisotropyimplantable hydrogelmannopentaosesNIR dyessolvatochromism

Identifiers

PMID42630892
PMCPMC13495729

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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.