Evidence map›Paper›PMID 33606164›Full record

ArticleEnvironmental science and pollution research international2021

Laccase and horseradish peroxidase for green treatment of phenolic micropollutants in real drinking water and wastewater.

Milena Maryskova, Lucie Linhartova, Vit Novotny, Miroslava Rysova, Tomas Cajthaml, Alena Sevcu

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.9field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

6 authors at 2 institutions in 1 country.

Milena MaryskovaInstitute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Bendlova 1409/7, 461 17, Liberec, Czech Republic. milena.maryskova@tul.cz.ORCID https://orcid.org/0000-0001-7500-0150
Lucie LinhartovaInstitute for Environmental Studies, Faculty of Science, Charles University, Benatska 2, 128 01, Prague 2, Czech Republic.ORCID https://orcid.org/0000-0003-0228-840X
Vit NovotnyInstitute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Bendlova 1409/7, 461 17, Liberec, Czech Republic.
Miroslava RysovaInstitute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Bendlova 1409/7, 461 17, Liberec, Czech Republic.ORCID https://orcid.org/0000-0003-3395-6941
Tomas CajthamlInstitute for Environmental Studies, Faculty of Science, Charles University, Benatska 2, 128 01, Prague 2, Czech Republic.ORCID https://orcid.org/0000-0002-3393-1333
Alena SevcuInstitute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, Bendlova 1409/7, 461 17, Liberec, Czech Republic. alena.sevcu@tul.cz.ORCID http://orcid.org/0000-0001-8772-704X
Technical University of Liberec · CZCzech Academy of Sciences · CZ

Funding

Ministerstvo Školství, Mládeže a Tělovýchovy CZ.02.1.01/0.0/0.0/16_019/ 0000843Ministerstvo Školství, Mládeže a Tělovýchovy LM2018124Ministerstvo Školství, Mládeže a Tělovýchovy UNCE/SCI/006Technologická Agentura České Republiky TE01020218Technologická Agentura České Republiky TH02030858
6 · The paper itself

Abstract

Biologically active micropollutants that contain diverse phenolic/aromatic structures are regularly present in wastewater effluents and are even found in drinking water. Advanced green technologies utilizing immobilized laccase and/or peroxidase, which target these micropollutants directly, may provide a reasonable alternative to standard treatments. Nevertheless, the use of these enzymes is associated with several issues that may prevent their application, such as the low activity of laccase at neutral and basic pH or the necessity of hydrogen peroxide addition as a co-substrate for peroxidases. In this study, the activity of laccase from Trametes versicolor and horseradish peroxidase was evaluated across a range of commonly used substrates (2,2'-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) (ABTS), syringaldazine, and guaiacol). Moreover, conditions for their optimal performance were explored along with an assessment of whether these conditions accurately reflect the effectivity of both enzymes in the degradation of a mixture of bisphenol A, 17α-ethinylestradiol, triclosan, and diclofenac in tap drinking water and secondary wastewater effluent. Laccase and horseradish peroxidase showed optimal activity at strongly acidic pH if ABTS was used as a substrate. Correspondingly, the activities of both enzymes detected using ABTS in real waters were significantly enhanced by adding approximately 2.5% (v/v) of McIlvaine's buffer. Degradation of a mixture of micropollutants in wastewater with 2.5% McIlvaine's buffer (pH 7) resulted in a substantial decrease in estrogenic activity. Low degradation efficiency of micropollutants by laccase was observed in pure McIlvaine's buffer of pH 3 and 7, compared with efficient degradation in tap water of pH 7.5 without buffer. This study clearly shows that enzyme activity needs to be evaluated on micropollutants in real waters as the assessment of optimal conditions based on commonly used substrates in pure buffer or deionized water can be misleading.

Indexed as

Drinking WaterLaccaseHorseradish PeroxidasePolyporaceaeTrametesWastewaterDrinking WaterHorseradish PeroxidaseLaccaseWastewaterAnthropogenic pollutionBiodegradationEcotoxicityEndocrine-disrupting chemicalsEnzymatic treatmentWastewater treatment

Identifiers

PMID33606164
OpenAlexW3129921622

What OpenQuestion holds

Textmetadata
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.