Evidence map›Paper›PMID 29997790›Full record

ArticleChemical science2016

Improvement of enzyme-linked immunosorbent assay for the multicolor detection of biomarkers.

Chao Li, Yucai Yang, Dan Wu, Tianqi Li, Yongmei Yin, Genxi Li

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2016. 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
8.5field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 118 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Chao LiState Key Laboratory of Pharmaceutical Biotechnology , Collaborative Innovation Center of Chemistry for Life Sciences , Department of Biochemistry , Nanjing University , Nanjing 210093 , China . Email: genxili@nju.edu.cn.
Yucai YangDepartment of Oncology , The First Affiliated Hospital of Nanjing Medical University , Nanjing 210029 , China.
Dan WuState Key Laboratory of Pharmaceutical Biotechnology , Collaborative Innovation Center of Chemistry for Life Sciences , Department of Biochemistry , Nanjing University , Nanjing 210093 , China . Email: genxili@nju.edu.cn.
Tianqi LiState Key Laboratory of Pharmaceutical Biotechnology , Collaborative Innovation Center of Chemistry for Life Sciences , Department of Biochemistry , Nanjing University , Nanjing 210093 , China . Email: genxili@nju.edu.cn.
Yongmei YinDepartment of Oncology , The First Affiliated Hospital of Nanjing Medical University , Nanjing 210029 , China.
Genxi LiState Key Laboratory of Pharmaceutical Biotechnology , Collaborative Innovation Center of Chemistry for Life Sciences , Department of Biochemistry , Nanjing University , Nanjing 210093 , China . Email: genxili@nju.edu.cn.
Pharmaceutical Biotechnology (Czechia) · CZJiangsu Province Hospital · CNChimie Biologique pour le Vivant

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An enzyme-linked immunosorbent assay that is dependent on enzyme amplification has dominated the current field of protein detection; however, limited multiple detection ability and susceptible enzymatic reactions, and low sensitivity may severely hinder its application. Here, we report a new signal amplification scheme based on allochroic molecule modified carboxyl graphene oxide (cGO), which can be used to develop a multicolor immunoassay named as allochroic-cGO linked immunosorbent assay (ALISA). Thanks to high adsorption levels and a wide selection of allochroic molecules, the simultaneous colorimetric detection of diagnostic biomarkers at a picogram level can be successfully achieved for the first time. In addition, the color change triggered by acidic or basic water can provide a simple, rapid, stable and economical signal output, further meeting the growing biodetection requirements. Moreover, with the help of ALISA, we demonstrate that the combined detection of three tumor biomarkers, including carcino-embryonic antigen, neuron-specific enolase, and cytokeratin-19 fragment, is more valuable for differentiating lung cancer patients than the detection of a single biomarker, further manifesting the superiority of ALISA. All in all, this straightforward approach not only opens up new prospects for multicolor immunoassays, but also has great potential for applications in resource-constrained settings.

Identifiers

PMID29997790
PMCPMC6004922
OpenAlexW2260505178

What OpenQuestion holds

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LicenceCC BY-NC
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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.