Evidence map›Paper›PMID 33396803›Full record

ArticlePolymers2020

Molecularly Imprinted Polymers for the Removal of Antidepressants from Contaminated Wastewater.

Tjasa Gornik, Sudhirkumar Shinde, Lea Lamovsek, Maja Koblar, Ester Heath, Börje Sellergren, Tina Kosjek

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 31 citations in OpenAlex.

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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 5 institutions in 3 countries.

Tjasa GornikDepartment of Environmental Sciences, Jozef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia.
Sudhirkumar ShindeDepartment of Biomedical Sciences and Biofilms-Research Center for Biointerfaces (BRC), Faculty of Health and Society, Malmö University, 20506 Malmö, Sweden.ORCID 0000-0001-9460-0936
Lea LamovsekDepartment of Biopharmacy and Pharmacokinetics, Faculty of Pharmacy, University of Ljubljana, Askerceva 7, 1000 Ljubljana, Slovenia.
Maja KoblarJozef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia.
Ester HeathDepartment of Environmental Sciences, Jozef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia.
Börje SellergrenDepartment of Biomedical Sciences and Biofilms-Research Center for Biointerfaces (BRC), Faculty of Health and Society, Malmö University, 20506 Malmö, Sweden.ORCID 0000-0002-2392-3305
Tina KosjekDepartment of Environmental Sciences, Jozef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia.ORCID 0000-0002-6421-0344
Jožef Stefan Institute · SIJožef Stefan International Postgraduate School · SIMalmö University · SEQueen's University Belfast · GBUniversity of Ljubljana · SI

Funding

Javna Agencija za Raziskovalno Dejavnost RS J1-6744Javna Agencija za Raziskovalno Dejavnost RS P1-0143
6 · The paper itself

Abstract

Selective serotonin reuptake inhibitors (SSRIs) are a class of antidepressants regularly detected in the environment. This indicates that the existing wastewater treatment techniques are not successfully removing them beforehand. This study investigated the potential of molecularly imprinted polymers (MIPs) to serve as sorbents for removal of SSRIs in water treatment. Sertraline was chosen as the template for imprinting. We optimized the composition of MIPs in order to obtain materials with highest capacity, affinity, and selectivity for sertraline. We report the maximum capacity of MIP for sertraline in water at 72.6 mg g

Indexed as

cross-reactivitymolecular imprintingpolymersertralinesorbentSSRItemplatewastewater treatment

Identifiers

PMID33396803
PMCPMC7794900
OpenAlexW3116872434

What OpenQuestion holds

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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.