Evidence map›Paper›PMID 35629481›Full record

ArticleMaterials (Basel, Switzerland)2022

Detection of Chlorpyrifos Using Bio-Inspired Silver Nanograss.

Hyunjun Park, Joohyung Park, Gyudo Lee, Woong Kim, Jinsung Park

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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
–field-weighted citation impact
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.

  1. Article
  2. Biosensors · 2023
    Article
  3. Article
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

5 authors.

Hyunjun ParkDepartment of Biomechatronics Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Joohyung ParkDepartment of Biomechatronics Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Gyudo LeeDepartment of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Korea.ORCID 0000-0001-7895-5112
Woong KimDepartment of Mechanical Engineering, Hanyang University, Seoul 04763, Korea.
Jinsung ParkDepartment of Biomechatronics Engineering, Sungkyunkwan University, Suwon 16419, Korea.ORCID 0000-0001-8096-7286

Funding

Korea Environmental Industry and Technology Institute MOE 201902800009Ministry of Science and ICT 202012D19National Research Foundation of Korea NRF-2017R1E1A1A01075439
6 · The paper itself

Abstract

Chlorpyrifos (CPF) is widely used as an organophosphorus insecticide; however, owing to developmental neurotoxicity, genotoxicity, and other adverse effects, it is harmful not only to livestock but also to humans. Therefore, the use of CPF was recently regulated, and its sensitive detection is crucial, as it causes serious toxicity, even in the case of residual pesticides. Because it is hard to detect the chlorpyrifos directly using spectroscopy (especially in SERS) without chemical reagents, we aimed to develop a SERS platform that could detect the chlorpyrifos directly in the water. In this study, we utilized the intrinsic properties of natural lawns that grow randomly and intertwine with each other to have a large surface area to promote photosynthesis. To detect CPF sensitively, we facilitated the rapid fabrication of biomimetic Ag nanograss (Ag-NG) as a surface-enhanced Raman spectroscopy (SERS) substrate using the electrochemical over-deposition method. The efficiency of the SERS method was confirmed through experiments and finite element method (FEM)-based electromagnetic simulations. In addition, the sensitive detection of CPF was enhanced by pretreatment optimization of the application of the SERS technique (limit of detection: 500 nM). The Ag-NG has potential as a SERS platform that could precisely detect organic compounds, as well as various toxic substances.

Indexed as

Ag nanograssbiomimicrychlorpyrifossurface-enhanced Raman spectroscopy

Identifiers

PMID35629481
PMCPMC9146306

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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.