Evidence map›Paper›PMID 40979463›Full record

ArticleACS environmental Au2025

Hybrid Double Enzyme Biocatalyst for Effective Degradation of Organic Pollutants.

Ani Vardanyan, Adam Ewerth, Gulaim A Seisenbaeva

Abstract read
In one paragraph

Article in ACS environmental Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ani VardanyanDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, P.O. Box 7015, Uppsala 75007, Sweden.ORCID https://orcid.org/0000-0003-0928-8525
Adam EwerthDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, P.O. Box 7015, Uppsala 75007, Sweden.
Gulaim A SeisenbaevaDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, P.O. Box 7015, Uppsala 75007, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on the development of environmentally friendly double enzyme catalysts for the degradation of organic pollutants in water, addressing key environmental concerns. The hybrid tandem system of xanthine oxidase (XO) with horseradish peroxidase (HRP) is designed for sustainable water treatment by using a natural and eco-friendly silicate substrate, perlite, as a support for the enzyme cascade reaction. The catalytic process was optimized for environmental applications. XO-generated hydrogen peroxide through the oxidation of hypoxanthine, which then activated HRP to break down a variety of harmful pollutants, including industrial dyes, pharmaceuticals, and phenolic compounds. The system demonstrated high pollutant removal efficiency, reaching up to 100% in some cases, while maintaining catalytic stability across a range of temperatures and pH values. Importantly, the biocatalytic system addressed secondary pollutiona common issue in conventional treatments. Thus, uric acid, a potential byproduct of the XO catalytic action, was degraded by HRP, preventing the accumulation of harmful byproducts in purified water. This research highlights the potential of the tandem XO-HRP enzyme cascade as a green, efficient, and sustainable solution for water purification, offering an environmentally responsible alternative to traditional methods that often contribute to further contamination.

Indexed as

enzyme cascade reactionnatural silicate matricesorganic pollutantstandem enzyme systemswater treatment

Identifiers

PMID40979463
PMCPMC12447223

What Socratic 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 Socratic graph.