Evidence map›Paper›PMID 29765647›Full record

ArticleRoyal Society open science2018

Controlled fluorescence quenching by antibody-conjugated graphene oxide to measure tau protein.

Ao Huang, Luning Zhang, Weiwei Li, Zeyu Ma, Shi Shuo, Tianming Yao

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 43 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 1 institution in 2 countries.

Ao HuangSchool of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, People's Republic of China.ORCID 0000-0002-2224-1468
Luning ZhangSchool of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, People's Republic of China.
Weiwei LiSchool of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, People's Republic of China.
Zeyu MaSchool of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, People's Republic of China.
Shi ShuoSchool of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, People's Republic of China.
Tianming YaoSchool of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, People's Republic of China.
Tongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report an ultrasensitive immunoassay for tau protein-a key marker of Alzheimer's disease. This sensing platform relies on graphene oxide (GO) surfaces conjugated with anti-human tau antibody to provide quantitative binding sites for the tau protein. The GO quenches standard fluorescein isothiocyanate labelled tau (tau-FITC) when tau protein and tau-FITC are both present and compete for the binding sites. This change in fluorescence signal can be used to quantitate tau protein. In contrast with traditional enzyme-linked immunosorbent assay (ELISA), our method does not require enzyme-linked secondary antibodies for protein recognition nor does it require an enzyme substrate for optical signal generation. This requires fewer reagents and has less systematic error than the antigen-antibody recognition steps in ELISA. Our method has a tau protein detection limit of 0.14 pmol ml

Indexed as

Alzheimer's diseasebiosensorgraphene oxideimmunoassaytau protein

Identifiers

PMID29765647
PMCPMC5936912
OpenAlexW2797864596

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.