Evidence map›Paper›PMID 36046725›Full record

ArticleFrontiers in chemistry2022

Dual-functional SERRS and fluorescent aptamer sensor for abscisic acid detection via charged gold nanorods.

Yanyan Zhang, Wei Li, Hao Zhang, Shun Wang, Xiaodong Li, Syed Muhammad Zaigham Abbas Naqvi, Jiandong Hu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

7 authors at 2 institutions in 1 country.

Yanyan ZhangCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Wei LiHenan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China.
Hao ZhangCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Shun WangHenan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China.
Xiaodong LiCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Syed Muhammad Zaigham Abbas NaqviCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Jiandong HuCollege of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Henan Agricultural University · CNShanghai Institute for Science of Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abscisic acid (ABA) is a plant hormone, which plays an important role in plant growth, crop cultivation and modern agricultural engineering management. Accordingly, the detection of ABA content combined with new techniques and methods has become a more and more popular problem in the field of agricultural engineering. In this work, a SERRS and fluorescence dual-function sensor based on the fluorescence quenching and Raman enhancement properties of gold nanorods (AuNRs) was developed, and applied to the detection of plant hormone ABA. The dual-function reporter molecule Rhodamine isothiocyanate (RBITC) and complementary DNA (cDNA) were modified on AuNRs (AuNRs@RBITC@cDNA) as signal probes and aptamer modified magnetic nanoparticles (Fe

Indexed as

abscisic aciddual-functional sensorfluorescence quenching and recoveryplant hormonesurface-enhanced resonance Raman spectroscopy

Identifiers

PMID36046725
PMCPMC9420979
OpenAlexW4291378151

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.