Evidence map›Paper›PMID 28953934›Full record

ArticlePloS one2017

Localized surface plasmon resonance-based abscisic acid biosensor using aptamer-functionalized gold nanoparticles.

Shun Wang, Wei Li, Keke Chang, Juan Liu, Qingqian Guo, Haifeng Sun, Min Jiang, Hao Zhang, Jing Chen, Jiandong Hu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 24% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Aptamers used for biosensors and targeted therapy.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2020
    Pooled it
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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

10 authors at 1 institution in 1 country.

Shun WangCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Wei LiState Key Laboratory of Wheat and Maize Crop Science, Zhengzhou, China.
Keke ChangCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Juan LiuCollege of Agronomy, Henan Agricultural University, Zhengzhou, China.
Qingqian GuoCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Haifeng SunCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Min JiangCollege of Life Sciences, Henan Agricultural University, Zhengzhou, China.
Hao ZhangCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Jing ChenCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Jiandong HuCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.ORCID http://orcid.org/0000-0003-1325-7334
Henan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abscisic acid (ABA) plays an important role in abiotic stress response and physiological signal transduction resisting to the adverse environment. Therefore, it is very essential for the quantitative detection of abscisic acid (ABA) due to its indispensable role in plant physiological activities. Herein, a new detection method based on localized surface plasmon resonance (LSPR) using aptamer-functionalized gold nanoparticles (AuNPs) is developed without using expensive instrument and antibody. In the presence of ABA, ABA specifically bind with their aptamers to form the ABA-aptamer complexes with G-quadruplex-like structure and lose the ability to stabilize AuNPs against NaCl-induced aggregation. Meanwhile, the changes of the LSPR spectra of AuNP solution occur and therefore the detection of ABA achieved. Under optimized conditions, this method showed a good linear range covering from 5×10-7 M to 5×10-5 M with a detection limit of 0.33 μM. In practice, the usage of this novel method has been demonstrated by its application to detect ABA from fresh leaves of rice with the relative error of 6.59%-7.93% compared with ELISA bioassay. The experimental results confirmed that this LSPR-based biosensor is simple, selective and sensitive for the detection of ABA. The proposed LSPR method could offer a new analytical platform for the detection of other plant hormones by changing the corresponding aptamer.

Indexed as

Biosensing TechniquesAbscisic AcidAptamers, NucleotideEnzyme-Linked Immunosorbent AssayGoldLimit of DetectionMicroscopy, Electron, TransmissionNanoparticlesSurface Plasmon ResonanceAbscisic AcidAptamers, NucleotideGold

Identifiers

PMID28953934
PMCPMC5617216
OpenAlexW2760706480

What OpenQuestion holds

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LicenceCC BY
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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.