Evidence map›Paper›PMID 32970749›Full record

ArticlePloS one2020

An efficient LSPR method to quantitatively detect dimethoate: Development, characterization and evaluation.

Dongxian Li, Yanyan Zhang, Qingqian Guo, Xiaoquan Sun, Hao Zhang, Shun Wang, Zephania Birech, Jiandong Hu

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2020. 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
0.8field-weighted citation impact, top 31% 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, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Advances in Plasmonic Sensing at the NIR-A Review.Sensors (Basel, Switzerland) · 2021
    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

8 authors at 3 institutions in 2 countries.

Dongxian LiDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Yanyan ZhangDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Qingqian GuoDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Xiaoquan SunHenan Institute of Metrology, Zhengzhou, China.
Hao ZhangDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.
Shun WangCollege of Science, Henan Agricultural University, Zhengzhou, China.
Zephania BirechDepartment of Physics, University of Nairobi, Nairobi, Kenya.
Jiandong HuDepartment of Electrical Engineering, Henan Agricultural University, Zhengzhou, China.ORCID 0000-0003-1325-7334
Henan Agricultural University · CNShandong Institute of Metrology · CNUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, there has been growing concern among consumers about pesticide contamination in fruits. Therefore, rapid, reliable, and consistent detection methods for OPPs, especially dimethoate, are crucially needed. The existing quantitative methods for detecting dimethoate are not suitable for rapid measuring system such as the dimethoate samples from two channels. Hence this paper examines the utilization of a dual-channel system for utilize the absorption variations of the Localized Surface Plasmon Resonance (LSPR) bands of gold nanoparticles (AuNPs) were investigate for detection of dimethoate. Under optimized conditions, the relationship between concentrations of dimethoate and absorbance ratios (A(520)/A(640)) was linearly found in the concentration range of 10-100 nM. Result from the experiment shows that both channels exhibit a linear correlation coefficient as high as 0.97 and a limit of detection (LOD) as low as 5.5 nM. This LSPR detection system was characterized by testing the dimethoate in apple samples and the recovery rates were found to be in the range of 85.90% to 107.37%. The proposed dual-channel LSPR system for detecting dimethoate creating a new approach for detecting organophosphate insecticide in agricultural fields. It could lay the foundation for designing a high-throughput analysis of the insecticides using a wavelength division multiplexing switch (WDMS).

Indexed as

Crops, AgriculturalDimethoateFood AnalysisFood ContaminationFruitInsecticidesSensitivity and SpecificitySurface Plasmon ResonanceDimethoateInsecticides

Identifiers

PMID32970749
PMCPMC7514021
OpenAlexW3088125109

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.