Evidence map›Paper›PMID 34829091›Full record

ArticleFoods (Basel, Switzerland)2021

Rapid Detection of Dimethoate in Soybean Samples by Microfluidic Paper Chips Based on Oil-Soluble CdSe Quantum Dots.

Xinpeng Yan, Zhong Zhang, Runguang Zhang, Tian Yang, Guoying Hao, Li Yuan, Xingbin Yang

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

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. 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 at 1 institution in 2 countries.

Xinpeng YanShaanxi Engineering Laboratory for Food Green Processing and Safety Control, Engineering Research Center of High Value Utilization of Western Fruit Resources, Ministry of Education, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.
Zhong ZhangShaanxi Engineering Laboratory for Food Green Processing and Safety Control, Engineering Research Center of High Value Utilization of Western Fruit Resources, Ministry of Education, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.ORCID 0000-0002-2409-5820
Runguang ZhangShaanxi Engineering Laboratory for Food Green Processing and Safety Control, Engineering Research Center of High Value Utilization of Western Fruit Resources, Ministry of Education, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.
Tian YangShaanxi Engineering Laboratory for Food Green Processing and Safety Control, Engineering Research Center of High Value Utilization of Western Fruit Resources, Ministry of Education, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.
Guoying HaoShaanxi Engineering Laboratory for Food Green Processing and Safety Control, Engineering Research Center of High Value Utilization of Western Fruit Resources, Ministry of Education, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.
Li YuanShaanxi Engineering Laboratory for Food Green Processing and Safety Control, Engineering Research Center of High Value Utilization of Western Fruit Resources, Ministry of Education, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.
Xingbin YangShaanxi Engineering Laboratory for Food Green Processing and Safety Control, Engineering Research Center of High Value Utilization of Western Fruit Resources, Ministry of Education, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710062, China.
Ministry of Education · TW

Funding

Fundamental Research Fund for the Central University GK202003089, XGZX2021-G04, GK202002006, and 2021CSLY020National Natural Science Foundation of China 31701705 and 31972183Postdoctoral Research Project in Shaanxi Province 2018BSHEDZZ151Shaanxi Province Key Research and Development Project 2021NY-145 and 2021NY-150
6 · The paper itself

Abstract

Given the imperative of monitoring organophosphorus pesticides (OPs) residues in the ecosystem, here a novel, facile and sensitive fluorescence sensor is presented for the rapid detection of dimethoate. In this work, surface molecularly imprinted polymer (SMIP) and microfluidic technology had been introduced to enhance the selectivity and portability of the described methodology. Oil-soluble CdSe quantum dots (QDs) synthesized in a green way were used as fluorescent material for the selective detection of dimethoate on the basis of static quenching and photoinduced electron transfer mechanism. Among many kinds of paper materials, glass fiber paper was used as the novel substrate of paper chip due to low pristine fluorescence and better performance when combining CdSe QDs. In the process of molecular imprinting, the interaction between several functional monomers and dimethoate molecule was investigated and simulated theoretically by software to improve the selectivity of the sensor. Consequently, the fabricated novel detection platform could effectively respond to dimethoate in 10 min with the concentration range of 0.45-80 μmol/L and detection limit of 0.13 μmol/L. The recovery in the spiked experiment soybean sample was in an acceptable range (97.6-104.1%) and the accuracy was verified by gas chromatography-mass spectrometry, which signified the feasibility and potential in food sampling.

Indexed as

dimethoatefluorescence sensormicrofluidic paper chipoil-soluble CdSe QDs

Identifiers

PMID34829091
PMCPMC8619599
OpenAlexW3212414452

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.