Evidence map›Paper›PMID 42769907›Full record

ArticleJournal of the Electrochemical Society2019

Review-Nanozyme-Based Immunosensors and Immunoassays: Recent Developments and Future Trends.

Xiangheng Niu, Nan Cheng, Xiaofan Ruan, Dan Du, Yuehe Lin

Abstract read
In one paragraph

Article in Journal of the Electrochemical Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

5 authors.

Xiangheng NiuSchool of Mechanical and Materials Engineering, Washington State University, Pullman, Washington 99164, USA.
Nan ChengSchool of Mechanical and Materials Engineering, Washington State University, Pullman, Washington 99164, USA.
Xiaofan RuanSchool of Mechanical and Materials Engineering, Washington State University, Pullman, Washington 99164, USA.
Dan DuSchool of Mechanical and Materials Engineering, Washington State University, Pullman, Washington 99164, USA.
Yuehe LinSchool of Mechanical and Materials Engineering, Washington State University, Pullman, Washington 99164, USA.ORCID 0000-0003-1628-5760

Funding

NIOSH CDC HHS R01 OH011023
6 · The paper itself

Abstract

Since the first report in the 1950s, immunosensors and immunoassays with good specificity have got extensive applications in clinical diagnosis, food safety, and environmental monitoring. As a typical type of immunosensors, enzyme-linked immunosorbent assays (ELISAs) are able to offer high sensitivity for target sensing because of the catalytically amplified readouts produced by their enzyme labels (horseradish peroxidase, alkaline phosphatase, et al.). However, the use of these natural enzymes brings some undesired defects to traditional ELISAs, including high cost and short shelflife. Fortunately, the discovery of nanomaterials with enzyme-like catalytic features (nanozymes) provides a potential way to overcome the above shortcomings. By replacing natural enzymes with artificial nanozymes, the developed immunosensors exhibit lower cost, better stability, and easier production along with comparable sensitivity and selectivity. In this regard, the past few years have witnessed the booming development of nanozyme-based immunosensors. Herein, we make a review on currently developed immunosensors and immunoassays where nanozymes are used as promising alternatives to natural enzymes. Progress of nanozyme-based immunosensors made in recent years is summarized according to various signaling modes. Some trends in the field, like the exploration of high-activity single-atom nanozymes to further improve the sensitivity, are discussed as well, hoping to provide some guides for future research.

Identifiers

PMID42769907
PMCPMC13591462

What OpenQuestion holds

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Registered trials

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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.