Evidence map›Paper›PMID 34832478›Full record

ArticleMaterials (Basel, Switzerland)2021

Multivariate Assessment of Procedures for Molecularly Imprinted Polymer Synthesis for Pesticides Determination in Environmental and Agricultural Samples.

Mariusz Marć, Marta Bystrzanowska, Katarzyna Pokajewicz, Marek Tobiszewski

Abstract read
In one paragraph

Article in Materials (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
–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

1 citing paper in PubMed.

  1. 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

4 authors.

Mariusz MarćDepartment of Analytical Chemistry, Faculty of Chemistry, Gdansk University of Technology (GUT), 80-233 Gdansk, Poland.
Marta BystrzanowskaDepartment of Analytical Chemistry, Faculty of Chemistry, Gdansk University of Technology (GUT), 80-233 Gdansk, Poland.
Katarzyna PokajewiczDepartment of Analytical Chemistry, Chemical Faculty, Opole University, 45-040 Opole, Poland.
Marek TobiszewskiDepartment of Analytical Chemistry, Faculty of Chemistry and EcoTech Center, Gdansk University of Technology (GUT), 80-233 Gdansk, Poland.ORCID 0000-0002-9046-1649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the case of quantitative and qualitative analysis of pesticides in environmental and food samples, it is required to perform a sample pre-treatment process. It allows to minimalize the impact of interferences on the final results, as well as increase the recovery rate. Nowadays, apart from routinely employed sample preparation techniques such as solid-phase extraction (SPE) or solid-phase microextraction (SPME), the application of molecularly imprinted polymers (MIPs) is gaining greater popularity. It is mainly related to their physicochemical properties, sorption capacity and selectivity, thermo-mechanical resistance, as well as a wide range of polymerization techniques allowing to obtain the desired type of sorption materials, adequate to a specific type of pesticide. This paper targets to summarize the most popular and innovative strategies since 2010, associated with the MIPs synthesis and analytical procedures for pesticides determination in environmental and food samples. Application of multi-criteria decision analysis (MCDA) allows for visualization of the most beneficial analytical procedures in case of changing the priority of each step of analysis (MIPs synthesis, sample preparation process-pesticides extraction, chromatographic analysis) bearing in mind metrological and environmental issues.

Indexed as

agricultural samplesenvironmental samplesmolecularly imprinted polymersmulti-criteria decision analysispesticides

Identifiers

PMID34832478
PMCPMC8624434

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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.