Evidence map›Paper›PMID 40286143›Full record

ArticleMolecules (Basel, Switzerland)2025

A Correlation-Based Approach for Predicting Humic Substance Bioactivity from Direct Compost Characterization.

Ana Catarina Silva, Pedro Rocha, Patrícia Valderrama, Juan Antelo, Dulce Geraldo, Maria Fernanda Proença, Sarah Fiol, Fátima Bento

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Ana Catarina SilvaDepartment of Chemistry, Centre of Chemistry, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0001-6923-0232
Pedro RochaDepartment of Chemistry, Centre of Chemistry, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal.
Patrícia ValderramaCampus Campo Mourão (UTFPR-CM), Universidade Tecnológica Federal do Paraná, Campo Mourão 87301-899, Paraná, Brazil.
Juan AnteloCRETUS, Cross-Disciplinary Research in Environmental Technologies, Department of Soil Science and Agricultural Chemistry, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0002-9604-4635
Dulce GeraldoDepartment of Chemistry, Centre of Chemistry, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0002-2415-6056
Maria Fernanda ProençaDepartment of Chemistry, Centre of Chemistry, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0002-5274-1949
Sarah FiolCRETUS, Cross-Disciplinary Research in Environmental Technologies, Department of Physical Chemistry, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.ORCID 0000-0002-0079-6470
Fátima BentoDepartment of Chemistry, Centre of Chemistry, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal.ORCID 0000-0003-0106-2089

Funding

Centro de Química da Universidade do Minho (CQ-UM/UM)Cross-disciplinary Research in Environmental Technologies (CRETUS Research Center) ED431E 2018/01Interreg VA Spain-Portugal Programme (EU) 0366_RES2VALHUM_1_POperational Programme Norte 2020 UMINHO/BD/40/2016Portuguese Foundation for Science and Technology (FCT) UID/00686Xunta de Galicia-Consellería de Educación e Ordenación Universitaria de Galicia Consolidation of Competitive Groups of Research; GI-1245, ED431C 2022/40
6 · The paper itself

Abstract

The efficient characterization of compost quality is essential for optimizing its application in agriculture and soil improvement. In this study, a correlation-based approach was employed to evaluate relationships between physicochemical properties, structural features, and reactivity indicators of compost extracts-fulvic acid-like (FA-L), humic acid-like (HA-L), and dissolved organic matter (DOM)-and their respective bulk composts. The goal was to identify key compost parameters that can serve as reliable predictors of humic substance composition and bioactivity, thereby reducing reliance on labor-intensive humic substance extractions. A comprehensive set of elemental, spectroscopic (UV-vis, ATR-FTIR,

Indexed as

CompostingHumic SubstancesSoilBenzopyransSpectroscopy, Fourier Transform InfraredBenzopyransfulvic acidHumic SubstancesSoilbioactivitycompost characterizationcompost maturitycompost quality indexcorrelation analysishumic-like substancessustainable agriculturethermal stability

Identifiers

PMID40286143
PMCPMC11990310

What OpenQuestion holds

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Registered trials

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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.