Evidence map›Paper›PMID 35011499›Full record

ReviewMolecules (Basel, Switzerland)2022

Electrochemical Signal Substance for Multiplexed Immunosensing Interface Construction: A Mini Review.

Jiejie Feng, Changshun Chu, Zhanfang Ma

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2022. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  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

3 authors.

Jiejie FengDepartment of Chemistry, Capital Normal University, Beijing 100048, China.
Changshun ChuDepartment of Chemistry, Capital Normal University, Beijing 100048, China.
Zhanfang MaDepartment of Chemistry, Capital Normal University, Beijing 100048, China.

Funding

Capacity Building for Sci-Tech Innovation-Fundamental Scientific Research Funds 20530290087, 20530290055Joint Project of Beijing Municipal Education Commission and Beijing Natural Science Foundation KZ202110028042National Natural Science Foundation of China 22172104
6 · The paper itself

Abstract

Appropriate labeling method of signal substance is necessary for the construction of multiplexed electrochemical immunosensing interface to enhance the specificity for the diagnosis of cancer. So far, various electrochemical substances, including organic molecules, metal ions, metal nanoparticles, Prussian blue, and other methods for an electrochemical signal generation have been successfully applied in multiplexed biosensor designing. However, few works have been reported on the summary of electrochemical signal substance applied in constructing multiplexed immunosensing interface. Herein, according to the classification of labeled electrochemical signal substance, this review has summarized the recent state-of-art development for the designing of electrochemical immunosensing interface for simultaneous detection of multiple tumor markers. After that, the conclusion and prospects for future applications of electrochemical signal substances in multiplexed immunosensors are also discussed. The current review can provide a comprehensive summary of signal substance selection for workers researched in electrochemical sensors, and further, make contributions for the designing of multiplexed electrochemical immunosensing interface with well signal.

Indexed as

Biosensing TechniquesElectrochemical TechniquesBiomarkers, TumorHumansImmunoassayMetal NanoparticlesNeoplasmsBiomarkers, Tumoraccurate diagnosis of cancerelectrochemical immunosensing interfaceelectrochemical signal substancesimultaneous analysis for multiple tumor markers

Identifiers

PMID35011499
PMCPMC8746521

What OpenQuestion holds

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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.