Evidence map›Paper›PMID 37764341›Full record

ReviewMolecules (Basel, Switzerland)2023

Overview on the Development of Alkaline-Phosphatase-Linked Optical Immunoassays.

Lin Liu, Yong Chang, Jiaxin Lou, Shuo Zhang, Xinyao Yi

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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.

Lin LiuCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.ORCID 0000-0001-7982-6005
Yong ChangCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.ORCID 0000-0001-7807-9730
Jiaxin LouCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.
Shuo ZhangCollege of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China.
Xinyao YiCollege of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.ORCID 0000-0002-9218-7161

Funding

Central South University Innovation-Driven Research Programme 2023CXQD022Program for Innovative Research Team of Science and Technology in the University of Henan Province 21IRTSTHN005
6 · The paper itself

Abstract

The drive to achieve ultrasensitive target detection with exceptional efficiency and accuracy requires the advancement of immunoassays. Optical immunoassays have demonstrated significant potential in clinical diagnosis, food safety, environmental protection, and other fields. Through the innovative and feasible combination of enzyme catalysis and optical immunoassays, notable progress has been made in enhancing analytical performances. Among the kinds of reporter enzymes, alkaline phosphatase (ALP) stands out due to its high catalytic activity, elevated turnover number, and broad substrate specificity, rendering it an excellent candidate for the development of various immunoassays. This review provides a systematic evaluation of the advancements in optical immunoassays by employing ALP as the signal label, encompassing fluorescence, colorimetry, chemiluminescence, and surface-enhanced Raman scattering. Particular emphasis is placed on the fundamental signal amplification strategies employed in ALP-linked immunoassays. Furthermore, this work briefly discusses the proposed solutions and challenges that need to be addressed to further enhance the performances of ALP-linked immunoassays.

Indexed as

Alkaline PhosphataseColorimetryHumansImmunoassaySpectrum Analysis, RamanAlkaline Phosphatasealkaline phosphatasechemiluminescencecolorimetryfluorescenceimmunoassayssurface-enhanced Raman scattering

Identifiers

PMID37764341
PMCPMC10536125

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.