Evidence map›Paper›PMID 41107610›Full record

ReviewAnnals of biomedical engineering2025

Insulin Quantification Through Electrochemical and Optical Aptasensors: A Review.

Jia Qi Chong, Muhammad Faiz Md Shakhih, Bhuwaneswaran Vijayam, Citartan Marimuthu, Congo Tak Shing Ching, Asnida Abdul Wahab

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2025. 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. Insulin Detection Enabled by Sensors Employing Fluorescence Signal Amplification Strategy.Luminescence : the journal of biological and chemical luminescence · 2026
    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

6 authors.

Jia Qi ChongDepartment of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru, Malaysia.
Muhammad Faiz Md ShakhihDepartment of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru, Malaysia. mfaizms@utm.my.ORCID http://orcid.org/0000-0001-7225-7153
Bhuwaneswaran VijayamDepartment of Clinical Medicine, Newcastle University Medicine Malaysia (NUMed), 79200, Iskandar Puteri, Johor, Malaysia.
Citartan MarimuthuAdvanced Medical and Dental Institute, Universiti Sains Malaysia, 13200, Kepala Batas, Penang, Malaysia.
Congo Tak Shing ChingGraduate Institute of Biomedical Engineering, National Chung Hsing University, Taichung, 402, Taiwan.
Asnida Abdul WahabDepartment of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru, Malaysia.

Funding

Universiti Teknologi Malaysia Q.J130000.3823.31J71
6 · The paper itself

Abstract

Diabetes mellitus is a serious global health issue, impacting hundreds of millions of people. Current management of diabetes focuses on achieving optimal glycemic control through consistent glucose monitoring. While insulin is crucial for regulating blood glucose levels, its role extends beyond insulin therapy and is often underutilized. Estimating insulin resistance is vital for early diagnosis of type 2 diabetes and improving insulin dosing accuracy. Fasting insulin measurements facilitate the assessment of insulin resistance using the homeostasis model assessment for insulin resistance (HOMA-IR), which correlates well with the gold standard research methods. Despite its potential, the current clinical practices face limitations such as prolonged detection times, centralization, and high costs, which hinder routine monitoring. There is an urgent need for a reliable, portable, and cost-effective real-time insulin detection device. Aptasensors, widely developed across various industries, offer a promising solution. These sensors promise fast, affordable, and simple measurement while maintaining high sensitivity. This review explores recent developments in insulin-binding aptamers and aptasensors, emphasizing optical and electrochemical biosensors. Their analytical performance, including specificity, sensitivity, and detection limits is discussed. Addressing the limitations of current biosensors, such as sensitivity, selectivity, and response time, is essential for advancing affordable and reliable insulin monitoring.

Indexed as

Aptamers, NucleotideBiosensing TechniquesDiabetes Mellitus, Type 2Electrochemical TechniquesInsulinAnimalsHumansInsulin ResistanceAptamers, NucleotideInsulinAptasensorDiabetesElectrochemical sensorInsulinOptical sensor

Identifiers

PMID41107610
PMCPMC12686039

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.