Evidence map›Paper›PMID 34947656›Full record

ReviewNanomaterials (Basel, Switzerland)2021

In Situ Assembly of Nanomaterials and Molecules for the Signal Enhancement of Electrochemical Biosensors.

Yong Chang, Ning Xia, Yaliang Huang, Zhifang Sun, Lin Liu

Open access · goldAbstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

5 authors at 1 institution in 1 country.

Yong ChangCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.
Ning XiaCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.ORCID 0000-0003-0366-7524
Yaliang HuangCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.
Zhifang SunCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.
Lin LiuCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.ORCID 0000-0001-7982-6005
Anyang Normal University · CN

Funding

National Natural Science Foundation of China 21905002Program for Innovative Research Team of Science and Technology in the University of Henan Province 21IRTSTHN005
6 · The paper itself

Abstract

The physiochemical properties of nanomaterials have a close relationship with their status in solution. As a result of its better simplicity than that of pre-assembled aggregates, the in situ assembly of nanomaterials has been integrated into the design of electrochemical biosensors for the signal output and amplification. In this review, we highlight the significant progress in the in situ assembly of nanomaterials as the nanolabels for enhancing the performances of electrochemical biosensors. The works are discussed based on the difference in the interactions for the assembly of nanomaterials, including DNA hybridization, metal ion-ligand coordination, metal-thiol and boronate ester interactions, aptamer-target binding, electrostatic attraction, and streptavidin (SA)-biotin conjugate. We further expand the range of the assembly units from nanomaterials to small organic molecules and biomolecules, which endow the signal-amplified strategies with more potential applications.

Indexed as

electrochemical biosensorshybridizationnanomaterialspeptideself-assemblystreptavidin

Identifiers

PMID34947656
PMCPMC8705329
OpenAlexW4200590721

What OpenQuestion 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 OpenQuestion graph.