Evidence map›Paper›PMID 36903746›Full record

ReviewNanomaterials (Basel, Switzerland)2023

A Nanotechnology-Based Approach to Biosensor Application in Current Diabetes Management Practices.

Ambreen Shoaib, Ali Darraj, Mohammad Ehtisham Khan, Lubna Azmi, Abdulaziz Alalwan, Osamah Alamri, Mohammad Tabish, Anwar Ulla Khan

Full text readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. Current Advances in Nanoelectronics, Nanosensors, and Devices.Nanomaterials (Basel, Switzerland) · 2024
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  19. Facile Synthesis of MXene-TiMolecules (Basel, Switzerland) · 2023
    Article
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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

8 authors.

Ambreen ShoaibDepartment of Clinical Pharmacy, College of Pharmacy, Jazan University, Jazan 45142, Saudi Arabia.ORCID 0000-0002-6562-8945
Ali DarrajDepartment of Medicine, College of Medicine, Shaqra University, Shaqra 11961, Saudi Arabia.ORCID 0000-0003-1777-3811
Mohammad Ehtisham KhanDepartment of Chemical Engineering Technology, College of Applied Industrial Technology, Jazan University, Jazan 45142, Saudi Arabia.ORCID 0000-0001-5251-1206
Lubna AzmiDepartment of Pharmaceutical Chemistry, Institute of Pharmaceutical Sciences, University of Lucknow, Lucknow 226025, India.ORCID 0000-0003-0614-3080
Abdulaziz AlalwanUniversity Family Medicine Center, Department of Family and Community Medicine, College of Medicine, King Saud University Medical City, Riyadh 2925, Saudi Arabia.ORCID 0000-0003-0302-2777
Osamah AlamriConsultant of Family Medicine, Ministry of Health, Second Health Cluster, Riyadh 2925, Saudi Arabia.
Mohammad TabishDepartment of Pharmacology, College of Medicine, Shaqra University, Shaqra 11961, Saudi Arabia.ORCID 0000-0001-8737-4088
Anwar Ulla KhanDepartment of Electrical Engineering Technology, College of Applied Industrial Technology, Jazan University, Jazan 45142, Saudi Arabia.ORCID 0000-0002-6259-9296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is linked to both short-term and long-term health problems. Therefore, its detection at a very basic stage is of utmost importance. Research institutes and medical organizations are increasingly using cost-effective biosensors to monitor human biological processes and provide precise health diagnoses. Biosensors aid in accurate diabetes diagnosis and monitoring for efficient treatment and management. Recent attention to nanotechnology in the fast-evolving area of biosensing has facilitated the advancement of new sensors and sensing processes and improved the performance and sensitivity of current biosensors. Nanotechnology biosensors detect disease and track therapy response. Clinically efficient biosensors are user-friendly, efficient, cheap, and scalable in nanomaterial-based production processes and thus can transform diabetes outcomes. This article is more focused on biosensors and their substantial medical applications. The highlights of the article consist of the different types of biosensing units, the role of biosensors in diabetes, the evolution of glucose sensors, and printed biosensors and biosensing systems. Later on, we were engrossed in the glucose sensors based on biofluids, employing minimally invasive, invasive, and noninvasive technologies to find out the impact of nanotechnology on the biosensors to produce a novel device as a nano-biosensor. In this approach, this article documents major advances in nanotechnology-based biosensors for medical applications, as well as the hurdles they must overcome in clinical practice.

Indexed as

biosensorsdiabetes managementglucose biosensornanomaterialsnanotechnology

Identifiers

PMID36903746
PMCPMC10005622

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read20
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.