Evidence map›Paper›PMID 31408943›Full record

ArticleMolecules (Basel, Switzerland)2019

Determination of 107 Pesticide Residues in Wolfberry with Acetate-buffered Salt Extraction and Sin-QuEChERS Nano Column Purification Coupled with Ultra Performance Liquid Chromatography Tandem Mass Spectrometry.

Jia-Nan Chen, Yu-Jing Lian, Yi-Ran Zhou, Ming-Hui Wang, Xi-Qing Zhang, Jian-Hua Wang, Yong-Ning Wu, Ming-Lin Wang

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 32 citations in OpenAlex.

  1. Enhanced Detection of Organochlorine Pesticide Residues in Sesame Seeds (Journal of analytical methods in chemistry · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

8 authors at 3 institutions in 1 country.

Jia-Nan ChenCollege of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China.
Yu-Jing LianCollege of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China.
Yi-Ran ZhouCollege of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China.
Ming-Hui WangCollege of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China.
Xi-Qing ZhangJieke Testing Service Co., Ltd., Yantai 265231, China.
Jian-Hua WangAgricultural College, Shandong Agricultural University, Taian 271018, China.
Yong-Ning WuCollege of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China.
Ming-Lin WangCollege of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China. mlwang@sdau.edu.cn.
Shandong Agricultural University · CNAnalysis and Testing Centre · CNChina National Center for Food Safety Risk Assessment · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multi-residue method for the determination of 107 pesticide residues in wolfberry has been developed and validated. Similar pretreatment approaches were compared, and the linearity, matrix effect, analysis limits, precision, stability and accuracy were validated, which verifies the satisfactory performance of this new method. The LODs and LOQs were in the range of 0.14-1.91 µg/kg and 0.46-6.37 µg/kg, respectively. The recovery of analytes at three fortification levels (10 µg/kg, 50 µg/kg, 100 µg/kg) ranged from 63.3-123.0%, 72.0-118.6% and 67.0-118.3%, respectively, with relative standard deviations (RSDs) below 15.0%. The proposed method was applied to the analysis of fifty wolfberry samples collected from supermarkets, pharmacies and farmers' markets in different cities of Shandong Province. One hundred percent of the samples analyzed included at least one pesticide, and a total of 26 pesticide residues was detected in fifty samples, which mainly were insecticides and bactericide. Several pesticides with higher detection rates were 96% for acetamiprid, 82% for imidacloprid, 54% for thiophanate-methyl, 50% for blasticidin-S, 42% for carbendazim, 42% for tebuconazole and 36% for difenoconazole in wolfberry samples. This study proved the adaptability of the developed method to the detection of multiple pesticide residues in wolfberry and provided basis for the research on the risks to wolfberry health.

Indexed as

BenzimidazolesCarbamatesChromatography, High Pressure LiquidHumansLiquid-Liquid ExtractionLyciumNeonicotinoidsNitro CompoundsNucleosidesPesticide ResiduesTandem Mass SpectrometryThiophanateTriazolesacetamipridBenzimidazolesblasticidin SCarbamatescarbendazimimidaclopridNeonicotinoidsNitro CompoundsNucleosidesPesticide ResiduestebuconazoleThiophanateTriazolesmulti-residuepesticideSin-QuEChERS NanoUPLC/MS/MSwolfberry

Identifiers

PMID31408943
PMCPMC6719108
OpenAlexW2968856238

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.