Evidence mapPaperPMID 39005117Full record

ReviewCurrent pharmaceutical biotechnology2025

Advancements of Glucose Monitoring Biosensor: Current State, Generations of Technological Progress and Innovation Dynamics.

Arpita Dua, Abhijit Debnath, Kunal Kumar, Rupa Mazumder, Avijit Mazumder, Rajesh Kumar Singh, Saloni Mangal, Jahanvi Sanchitra, Fahad Khan, Soumya Tripathi and 4 more

Abstract readReview
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In one paragraph

Review in Current pharmaceutical biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Applications and prospects of biomaterials in diabetes management.Frontiers in bioengineering and biotechnology · 2025
    Review
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

14 authors.

Arpita DuaNoida Institute of Engineering and Technology (Pharmacy Institute), 19 Knowledge Park-II, Institutional Area, Greater Noida, 201306, Uttar Pradesh, India.
Abhijit DebnathNoida Institute of Engineering and Technology (Pharmacy Institute), 19 Knowledge Park-II, Institutional Area, Greater Noida, 201306, Uttar Pradesh, India.ORCID 0000-0003-1056-1197
Kunal KumarNoida Institute of Engineering and Technology (Pharmacy Institute), 19 Knowledge Park-II, Institutional Area, Greater Noida, 201306, Uttar Pradesh, India.
Rupa MazumderNoida Institute of Engineering and Technology (Pharmacy Institute), 19 Knowledge Park-II, Institutional Area, Greater Noida, 201306, Uttar Pradesh, India.
Avijit MazumderNoida Institute of Engineering and Technology (Pharmacy Institute), 19 Knowledge Park-II, Institutional Area, Greater Noida, 201306, Uttar Pradesh, India.
Rajesh Kumar SinghInstitute of Medical Sciences, Banaras Hindu University, Varanasi, India.ORCID 0000-0002-0417-0627
Saloni MangalNoida Institute of Engineering and Technology (Pharmacy Institute), 19 Knowledge Park-II, Institutional Area, Greater Noida, 201306, Uttar Pradesh, India.
Jahanvi SanchitraNoida Institute of Engineering and Technology (Pharmacy Institute), 19 Knowledge Park-II, Institutional Area, Greater Noida, 201306, Uttar Pradesh, India.ORCID 0009-0001-2730-1466
Fahad KhanDepartment of Biotechnology, Noida Institute of Engineering and Technology, 19 Knowledge Park-II, Institutional Area, Greater Noida, 201306, Uttar Pradesh, India.
Soumya TripathiNoida Institute of Engineering and Technology (Pharmacy Institute), 19 Knowledge Park-II, Institutional Area, Greater Noida, 201306, Uttar Pradesh, India.
Sukriti VishwasSchool of Pharmaceutical Sciences, Lovely Professional University, Jalandhar, Punjab, India.
Hema ChaudharySchool of Medical and Allied Sciences, K R Mangalam University, Sohna Road, Gurugram, India.
Parul SharmaFaculty of Pharmaceutical Sciences, Shoolini University, Solan, Himachal Pradesh, India.
Shikha SrivastavaBhaskaracharya College of Applied Sciences, University of Delhi, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucose monitoring is essential for managing diabetes, and continuous glucose monitoring biosensors can offer real-time monitoring with little invasiveness. However, challenges remain in improving sensor accuracy, selectivity, and overall performance. This article aims to review current trends and recent advancements in glucose-monitoring biosensors while evaluating their benefits and limitations for diabetes monitoring. An analysis of current literature on transdermal glucose sensors was conducted, focusing on detection techniques, novel nanomaterials, and integrated sensor systems. Recent research has led to advancements in electrochemical, optical, electromagnetic, and sonochemical sensors for transdermal glucose detection. The use of novel nanomaterials and integrated sensor designs has improved sensitivity, selectivity, and accuracy. However, issues like calibration requirements, motion artifacts, and skin irritation persist. Transdermal glucose sensors show promise for non-invasive, convenient diabetes monitoring but require further enhancements to address limitations in accuracy, reliability, and biocompatibility. Continued research and innovation focusing on sensor materials, designs, and surface chemistry is needed to optimize biosensor performance and utility. The study offers a comprehensive analysis of the present status of technological advancement and highlights areas that need more research.

Indexed as

Biosensing TechniquesBlood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusAnimalsHumansBlood Glucosecolorimetric sensordiabetes.electrochemical sensorglucose monitoringTransdermal sensorwearable device

Identifiers

PMID39005117

What Socratic 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 Socratic graph.