Evidence map›Paper›PMID 29721621›Full record

ReviewMikrochimica acta2018

Advances in the design of nanomaterial-based electrochemical affinity and enzymatic biosensors for metabolic biomarkers: A review.

Leila Farzin, Mojtaba Shamsipur, Leila Samandari, Shahab Sheibani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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, 105 citations in OpenAlex.

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  13. Nanostructured Materials for Artificial Tissue Replacements.International journal of molecular sciences · 2020
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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

4 authors at 2 institutions in 1 country.

Leila FarzinRadiation Application Research School, Nuclear Science and Technology Research Institute, P.O. Box 11365-3486, Tehran, Iran. lfarzin84@yahoo.com.
Mojtaba ShamsipurDepartment of Chemistry, Razi University, P.O. Box 67149-67346, Kermanshah, Iran.
Leila SamandariDepartment of Chemistry, Razi University, P.O. Box 67149-67346, Kermanshah, Iran.
Shahab SheibaniRadiation Application Research School, Nuclear Science and Technology Research Institute, P.O. Box 11365-3486, Tehran, Iran.
Nuclear Science and Technology Research InstituteRazi University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review (with 340 refs) focuses on methods for specific and sensitive detection of metabolites for diagnostic purposes, with particular emphasis on electrochemical nanomaterial-based sensors. It also covers novel candidate metabolites as potential biomarkers for diseases such as neurodegenerative diseases, autism spectrum disorder and hepatitis. Following an introduction into the field of metabolic biomarkers, a first major section classifies electrochemical biosensors according to the bioreceptor type (enzymatic, immuno, apta and peptide based sensors). A next section covers applications of nanomaterials in electrochemical biosensing (with subsections on the classification of nanomaterials, electrochemical approaches for signal generation and amplification using nanomaterials, and on nanomaterials as tags). A next large sections treats candidate metabolic biomarkers for diagnosis of diseases (in the context with metabolomics), with subsections on biomarkers for neurodegenerative diseases, autism spectrum disorder and hepatitis. The Conclusion addresses current challenges and future perspectives. Graphical abstract This review focuses on the recent developments in electrochemical biosensors based on the use of nanomaterials for the detection of metabolic biomarkers. It covers the critical metabolites for some diseases such as neurodegenerative diseases, autism spectrum disorder and hepatitis.

Indexed as

AnimalsBiomarkersBiosensing TechniquesElectrochemistryEnzymesHumansNanotechnologyBiomarkersEnzymesAutismBiosensing assaysHepatitisNeurodegenerative diseases

Identifiers

PMID29721621
OpenAlexW2802457709

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.