Evidence map›Paper›PMID 36320498›Full record

ArticleRSC advances2022

Defect-rich graphene-coated metamaterial device for pesticide sensing in rice.

Wendao Xu, Qi Wang, Ruiyun Zhou, Saima Hameed, Yungui Ma, Lijuan Xie, Yibin Ying

Abstract read
In one paragraph

Article in RSC advances, 2022. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

7 authors.

Wendao XuCollege of Biosystems Engineering and Food Science, Zhejiang University 866 Yuhangtang Rd. 310058 Hangzhou P.R. China yingyb@zju.edu.cn.
Qi WangCollege of Biosystems Engineering and Food Science, Zhejiang University 866 Yuhangtang Rd. 310058 Hangzhou P.R. China yingyb@zju.edu.cn.
Ruiyun ZhouCollege of Biosystems Engineering and Food Science, Zhejiang University 866 Yuhangtang Rd. 310058 Hangzhou P.R. China yingyb@zju.edu.cn.
Saima HameedCollege of Biosystems Engineering and Food Science, Zhejiang University 866 Yuhangtang Rd. 310058 Hangzhou P.R. China yingyb@zju.edu.cn.
Yungui MaState Key Laboratory for Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University 866 Yuhangtang Rd. 310058 Hangzhou P.R. China.
Lijuan XieCollege of Biosystems Engineering and Food Science, Zhejiang University 866 Yuhangtang Rd. 310058 Hangzhou P.R. China yingyb@zju.edu.cn.
Yibin YingCollege of Biosystems Engineering and Food Science, Zhejiang University 866 Yuhangtang Rd. 310058 Hangzhou P.R. China yingyb@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Performing sensitive and selective detection in a mixture is challenging for terahertz (THz) sensors. In light of this, many methods have been developed to detect molecules in complex samples using THz technology. Here we demonstrate a defect-rich monolayer graphene-coated metamaterial operating in the THz regime for pesticide sensing in a mixture through strong local interactions between graphene and external molecules. The monolayer graphene induces a 50% change in the resonant peak excited by the metamaterial absorber that could be easily distinguished by THz imaging. We experimentally show that the Fermi level of the graphene can be tuned by the addition of molecules, which agrees well with our simulation results. Taking chlorpyrifos methyl in the lixivium of rice as a sample, we further show the molecular sensing potential of this device, regardless of whether the target is in a mixture or not.

Identifiers

PMID36320498
PMCPMC9540250

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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.