Evidence map›Paper›PMID 41653261›Full record

ReviewApplied biochemistry and biotechnology2026

AlGaN/GaN HEMT Biosensors for Next-Generation Applications: a State-of-the-Art Review.

Yashwant Singh, Neeraj Gupta, Nisha Charaya, Ashish Kumar, Vinay Kanungo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Applied biochemistry and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Yashwant SinghDepartment of Electronics and Communication Engineering, Amity University Haryana, Gurugram, 122413, India.ORCID http://orcid.org/0009-0007-8139-7255
Neeraj GuptaDepartment of Electronics and Communication Engineering, Amity University Haryana, Gurugram, 122413, India.
Nisha CharayaDepartment of Electronics and Communication Engineering, Amity University Haryana, Gurugram, 122413, India.
Ashish KumarDepartment of Electronics and Communication Engineering, National Institute of Technology, Raipur, 492010, India. akumar.ece@nitrr.ac.in.ORCID http://orcid.org/0000-0003-1523-5454
Vinay KanungoDepartment of Computer Science Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, 302017, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AlGaN/GaN high-electron-mobility transistor (HEMT) biosensors are revolutionizing real-time, label-free, and ultra-sensitive biomolecular detection by addressing major limitations of conventional FET-based biosensors such as oxide instability, chemical degradation, and poor sensitivity in physiological environments. Their superior electron mobility, wide bandgap, and inherent chemical robustness enable stable operation in complex biological media. This review critically examines the structural and electronic advantages of AlGaN/GaN HEMTs and their role in mitigating challenges like Debye screening and functionalization instability. Applications across cancer and cardiovascular diagnostics, infectious disease detection, metabolic disorder monitoring, and molecular sensing are systematically analyzed. Finally, future perspectives highlight the integration of AlGaN/GaN HEMT biosensors with wearable systems, artificial intelligence–assisted analytics, and standardized testing protocols to advance next-generation point-of-care diagnostics and personalized healthcare.

Indexed as

Aluminum CompoundsBiosensing TechniquesGalliumTransistors, ElectronicHumansAluminum Compoundsaluminum gallium nitrideGalliumgallium nitrideAlGaN/GaN HEMTDynamic rangeElectrochemical biosensorLoDPOCTSelectivitySensitivity

Identifiers

What OpenQuestion holds

Textmetadata
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.