Evidence map›Paper›PMID 35270963›Full record

ArticleSensors (Basel, Switzerland)2022

A Novel Integrated APCI and MPT Ionization Technique as Online Sensor for Trace Pesticides Detection.

Gaosheng Zhao, Fengjian Chu, Jianguang Zhou

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Gaosheng ZhaoState Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Research Center for Analytical Instrumentation, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-9779-7751
Fengjian ChuCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-3577-1919
Jianguang ZhouState Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Research Center for Analytical Instrumentation, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-2898-0077
State Key Laboratory of Industrial Control TechnologyZhejiang University · CN

Funding

Research Project of the State Key Laboratory of Indusrial Control Technology, Zhejiang University, China ICT1806the National Key Research and Development Program of China No. 2016YFC0800905-Z03
6 · The paper itself

Abstract

The misuse of pesticides poses a tremendous threat to human health. Excessive pesticide residues have been shown to cause many diseases. Many sensor detection methods have been developed, but most of them suffer from problems such as slow detection speed or narrow detection range. So, the development of rapid, direct and sensitive means of detecting trace amounts of pesticide residues is always necessary. A novel online sensor technique was developed for direct analysis of pesticides in complex matrices with no sample pretreatment. The portable sensor ion source consists of an MPT (microwave plasma torch) with desolventizing capability and an APCI (atmosphere pressure chemical ionization), which provides abundant precursor ions and a strong electric field. The performance which improves the ionization efficiency and suppresses the background signal was verified by using pesticide standard solution and pesticide pear juice solution measurements with an Orbitrap mass spectrometer. The limit of detection (LOD) and the limit of quantization (LOQ) of the method were measured by pear juice solutions that were obtained in the ranges of 0.034-0.79 μg/L and 0.14-1 μg/L. Quantitative curves were obtained ranging from 0.5 to 100 μg/L that showed excellent semi-quantitative ability with correlation coefficients of 0.985-0.997. The recoveries (%) of atrazine, imidacloprid, dimethoate, profenofos, chlorpyrifos, and dichlorvos were 96.6%, 112.7%, 88.1%, 85.5%, 89.2%, and 101.9% with the RSDs ranging from 5.89-14.87%, respectively. The results show that the method has excellent sensitivity and quantification capability for rapid and direct detection of trace pesticide.

Indexed as

Pesticide ResiduesPesticidesHumansLimit of DetectionMass SpectrometryPesticide ResiduesPesticidesambient mass spectrometryhigh sensitivitymulti-mode ion sourceonline sensorpesticide detectionportable

Identifiers

PMID35270963
PMCPMC8914877
OpenAlexW4214590628

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.