Evidence map›Paper›PMID 39451708›Full record

ReviewBiosensors2024

Metal-Organic Framework-Based Nanostructures for Electrochemical Sensing of Sweat Biomarkers.

Jing Meng, Moustafa Zahran, Xiaolin Li

Abstract readReview
In one paragraph

Review in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

3 authors.

Jing MengSchool of Civil Engineering, Nantong Institute of Technology, Nantong 226002, China.
Moustafa ZahranInstitute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen 518055, China.ORCID 0000-0002-3569-1206
Xiaolin LiInstitute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen 518055, China.

Funding

National Natural Science Foundation of China 52105307Research Funding of Post-doctoral Who Came to Shenzhen 4103-6021271018K1Scientific Research Start-up Project of Shenzhen Polytechnic 4103-6023330010KShenzhen Polytechnic University Research Fund 6023310027K, 6024310044KShenzhen Science and Technology Program RCBS20210609104444087
6 · The paper itself

Abstract

Sweat is considered the most promising candidate to replace conventional blood samples for noninvasive sensing. There are many tools and optical and electrochemical methods that can be used for detecting sweat biomarkers. Electrochemical methods are known for their simplicity and cost-effectiveness. However, they need to be optimized in terms of selectivity and catalytic activity. Therefore, electrode modifiers such as nanostructures and metal-organic frameworks (MOFs) or combinations of them were examined for boosting the performance of the electrochemical sensors. The MOF structures can be prepared by hydrothermal/solvothermal, sonochemical, microwave synthesis, mechanochemical, and electrochemical methods. Additionally, MOF nanostructures can be prepared by controlling the synthesis conditions or mixing bulk MOFs with nanoparticles (NPs). In this review, we spotlight the previously examined MOF-based nanostructures as well as promising ones for the electrochemical determination of sweat biomarkers. The presence of NPs strongly improves the electrical conductivity of MOF structures, which are known for their poor conductivity. Specifically, Cu-MOF and Co-MOF nanostructures were used for detecting sweat biomarkers with the lowest detection limits. Different electrochemical methods, such as amperometric, voltammetric, and photoelectrochemical, were used for monitoring the signal of sweat biomarkers. Overall, these materials are brilliant electrode modifiers for the determination of sweat biomarkers.

Indexed as

BiomarkersBiosensing TechniquesElectrochemical TechniquesMetal-Organic FrameworksNanostructuresSweatElectrodesHumansBiomarkersMetal-Organic Frameworkselectrochemical sensormetal–organic frameworknanoparticlesweatwearable sensor

Identifiers

PMID39451708
PMCPMC11506703

What Socratic holds

Textmetadata
LicenceCC BY
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.