Evidence map›Paper›PMID 28660042›Full record

ArticleChemical science2016

Direct and multiplex quantification of protein biomarkers in serum samples using an immuno-magnetic platform.

See-Lok Ho, Di Xu, Man Shing Wong, Hung-Wing 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 31 citations in OpenAlex.

  1. Recent advances in bioprobes and biolabels based on cyanine dyes.Analytical and bioanalytical chemistry · 2022
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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

4 authors at 1 institution in 1 country.

See-Lok HoDepartment of Chemistry , Hong Kong Baptist University , Hong Kong . Email: mswong@hkbu.edu.hk ; Email: hwli@hkbu.edu.hk.
Di XuDepartment of Chemistry , Hong Kong Baptist University , Hong Kong . Email: mswong@hkbu.edu.hk ; Email: hwli@hkbu.edu.hk.
Man Shing WongDepartment of Chemistry , Hong Kong Baptist University , Hong Kong . Email: mswong@hkbu.edu.hk ; Email: hwli@hkbu.edu.hk.
Hung-Wing LiDepartment of Chemistry , Hong Kong Baptist University , Hong Kong . Email: mswong@hkbu.edu.hk ; Email: hwli@hkbu.edu.hk.
Hong Kong Baptist University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A direct and ultrasensitive multiplex assay using an immuno-magnetic platform has been developed for the quantification of trace amounts of circulating cancer-associated antigens in serum. The detection is based on the specific immuno-interactions among the target antigen, detection antibody and capture antibody that is immobilized on the surface of magnetic nanoparticles. The sandwiched immuno-assembly is then labelled with turn-on fluorophores and detected with a fluorescence imaging system. To afford a high signal-to-noise ratio, three turn-on fluorophores with unique optical properties have been designed and synthesized to label the target antigens. The developed assay has achieved a remarkable LOD down to the femto-molar regime without sample pre-treatment. This versatile assay can efficiently differentiate the target antigen from a protein matrix and simultaneously quantify multiple cancer-associated antigens, for instance, alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), and prostate specific antigen (PSA) using only 6 μL of serum sample in an hour. This novel system has a high applicability to serve as a universal and useful tool for early disease diagnostics.

Identifiers

PMID28660042
PMCPMC5477028
OpenAlexW2198766947

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.