Evidence map›Paper›PMID 33143251›Full record

ArticlePolymers2020

Acid Treatment Enhances the Antioxidant Activity of Enzymatically Synthesized Phenolic Polymers.

Maria Laura Alfieri, Federica Moccia, Gerardino D'Errico, Lucia Panzella, Marco d'Ischia, Alessandra Napolitano

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  5. Article
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 1 institution in 1 country.

Maria Laura AlfieriDepartment of Chemical Sciences, University of Naples "Federico II", Via Cintia 4, I-80126 Naples, Italy.
Federica MocciaDepartment of Chemical Sciences, University of Naples "Federico II", Via Cintia 4, I-80126 Naples, Italy.
Gerardino D'ErricoDepartment of Chemical Sciences, University of Naples "Federico II", Via Cintia 4, I-80126 Naples, Italy.ORCID 0000-0001-6383-8618
Lucia PanzellaDepartment of Chemical Sciences, University of Naples "Federico II", Via Cintia 4, I-80126 Naples, Italy.ORCID 0000-0002-2662-8205
Marco d'IschiaDepartment of Chemical Sciences, University of Naples "Federico II", Via Cintia 4, I-80126 Naples, Italy.ORCID 0000-0002-7184-0029
Alessandra NapolitanoDepartment of Chemical Sciences, University of Naples "Federico II", Via Cintia 4, I-80126 Naples, Italy.ORCID 0000-0003-0507-5370
University of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenolic polymers produced by enzymatic oxidation under biomimetic and eco-friendly reaction conditions are usually endowed with potent antioxidant properties. These properties, coupled with the higher biocompatibility, stability and processability compared to low-molecular weight phenolic compounds, open important perspectives for various applications. Herein, we report the marked boosting effect of acid treatment on the antioxidant properties of a series of polymers obtained by peroxidase-catalyzed oxidation of natural phenolic compounds. Both 2,2-diphenyl-1-picrylhydrazyl (DPPH) and ferric reducing/antioxidant power (FRAP) assays indicated a remarkable increase in the antioxidant properties for most phenolic polymers further to the acid treatment. In particular, up to a ca. 60% decrease in the EC

Indexed as

acid treatmentantioxidantbiomimetic oxidationelectron paramagnetic resonance (EPR)enzymatic synthesisphenolic polymers

Identifiers

PMID33143251
PMCPMC7692195
OpenAlexW3095031823

What OpenQuestion holds

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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.