Evidence map›Paper›PMID 34829012›Full record

ArticleFoods (Basel, Switzerland)2021

Utilizing a Rapid Multi-Plug Filtration Cleanup Method for 72 Pesticide Residues in Grape Wines Followed by Detection with Gas Chromatography Tandem Mass Spectrometry.

Shaowen Liu, Aijuan Bai, Le Song, Nan Zou, Yongtao Han, Li Zhou, Chuanshan Yu, Changjun Li, Canping Pan

Open access · goldAbstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 1 country.

Shaowen LiuDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-9113-1916
Aijuan BaiDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.
Le SongDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.
Nan ZouDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.
Yongtao HanDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.
Li ZhouTea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.
Chuanshan YuDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.
Changjun LiHunan Institute of Agricultural Environment and Ecology, Changsha 410125, China.
Canping PanDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China.
China Agricultural University · CNChinese Academy of Agricultural Sciences · CN

Funding

Guangxi Key Research and Development Program AB21196039Guangxi Special Invited Scientist in Agric-Environment and Agroproducts Safety 2018Hunan Agricultural Science and Technology Innovation Fund Projection 2018QN35The Central Government Providing Special Funds for Guiding Local Governments in Science and Technology Development 2019XF5076
6 · The paper itself

Abstract

A convenient and fast multi-residue method for the efficient identification and quantification of 72 pesticides belonging to different chemical classes in red and white grape wines has been developed. The analysis was based on gas chromatography tandem quadrupole mass spectrometric determination (GC-MS/MS). The optimization strategy involved the selection of the amount of multi-walled carbon nanotubes (MWCNTs) and the number of cleanup procedure cycles for multi-plug filtration cleanup (m-PFC) to achieve ideal recoveries and reduce the sample matrix compounds in the final extracts. The optimized procedure obtained consistent recoveries between 70.2 and 108.8% (70.2 and 108.8% for white wine, and 72.3 and 108.4% for red wine), with relative standard deviations (RSDs) that were generally lower than 9.2% at the three spiking levels of 0.01, 0.05 and 0.1 mg/kg. The linearity was studied in the range between 0.002 and 0.1 mg/kg using pesticide standards prepared both in pure solvent and in the presence of the matrix, showing coefficients of determination (R

Indexed as

GC–MS/MSm-PFCpesticide residuewine

Identifiers

PMID34829012
PMCPMC8623294
OpenAlexW3214201559

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.