Evidence map›Paper›PMID 40563273›Full record

ArticleAntioxidants (Basel, Switzerland)2025

Subcritical Water and Pressurised Ethanol Extractions for Maximum Recovery of Antioxidants from Orange Peel Herbal Dust with Evaluation of Its Pharmacological Potential Using In Silico and In Vitro Analysis.

Slađana Krivošija, Ana Ballesteros-Gómez, Mire Zloh, Nataša Milić, Aleksandra Popović, Nataša Nastić, Senka Vidović

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Slađana KrivošijaDepartment of Pharmaceutical Engineering, Faculty of Technology Novi Sad, University of Novi Sad, Boulevard Cara Lazara 1, 21000 Novi Sad, Serbia.ORCID 0000-0002-3860-9298
Ana Ballesteros-GómezDepartment of Analytical Chemistry, Institute of Chemistry for Energy and the Environment, University of Córdoba, 14071 Cordoba, Spain.
Mire ZlohUCL School of Pharmacy, University College London, 29/39 Brunswick Square, London WC1N 1AX, UK.ORCID 0000-0002-4848-2737
Nataša MilićDepartment of Pharmacy, Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, 21000 Novi Sad, Serbia.ORCID 0000-0002-8595-6065
Aleksandra PopovićDepartment of Physiology, Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 3, 21000 Novi Sad, Serbia.
Nataša NastićDepartment of Pharmaceutical Engineering, Faculty of Technology Novi Sad, University of Novi Sad, Boulevard Cara Lazara 1, 21000 Novi Sad, Serbia.ORCID 0000-0002-4164-0659
Senka VidovićDepartment of Pharmaceutical Engineering, Faculty of Technology Novi Sad, University of Novi Sad, Boulevard Cara Lazara 1, 21000 Novi Sad, Serbia.ORCID 0000-0001-6936-3289

Funding

MCIN/AEI /10.13039/501100011033 PID2020-113743RB-I00Provincial Secretariat for Higher Education and Scientific Research, Autonomous Province of Vojvodina, Serbia 142-451-2683/2021-01Serbian Ministry of Science and Technological Development 451-03-66/2024-03/200134
6 · The paper itself

Abstract

This research explored the potential of pressurised liquid extraction techniques for valorising herbal orange peel dust (OPD) waste from the filter tea industry. A series of experiments were conducted, varying the temperature (120-220 °C) and solvent (water and 50% (

Indexed as

antitumor activityorange peel herbal dustpressurised ethanol extractionpressurised liquid extractionsubcritical water extractionwaste valorisation

Identifiers

PMID40563273
PMCPMC12189749

What OpenQuestion holds

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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.