Evidence map›Paper›PMID 40942143›Full record

ArticleMolecules (Basel, Switzerland)2025

Eco-Friendly Polysaccharides as Moisture Retainers: Influence on Humic Acid Colloidal Stability in Model and Natural Systems.

Gleb N Trishkin, Maria G Chernysheva, Natalia A Kulikova, Gennadii A Badun

Abstract read
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. 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

4 authors.

Gleb N TrishkinDepartment of Chemistry, M.V. Lomonosov Moscow State University, Leninskiye Gory 1, Moscow 119991, Russia.ORCID 0000-0002-8769-1419
Maria G ChernyshevaDepartment of Chemistry, M.V. Lomonosov Moscow State University, Leninskiye Gory 1, Moscow 119991, Russia.ORCID 0000-0001-5040-9937
Natalia A KulikovaDepartment of Soil Science, M.V. Lomonosov Moscow State University, Leninskiye Gory 1-12, Moscow 119991, Russia.ORCID 0000-0003-0143-2908
Gennadii A BadunDepartment of Chemistry, M.V. Lomonosov Moscow State University, Leninskiye Gory 1, Moscow 119991, Russia.

Funding

Ministry of Science and Higher Education of the Russian Federation M.V. Lomonosov Moscow State University 122012600116-4
6 · The paper itself

Abstract

Hyaluronic acid and carboxymethyl cellulose are eco-friendly polysaccharides known for their excellent moisture retention properties, making them suitable components of agricultural fertilizers. On the other hand, humic acids exhibit surface-active properties, suggesting their potential to replace synthetic surfactants in agricultural applications. Naturally, the interaction between polysaccharides and humic substances influences their colloidal and chemical behavior. The mutual interactions between humic acids and these polysaccharides were examined at immiscible liquid interfaces and on plant leaf surfaces using radiotracer analysis and tensiometry (pendant drop and sessile drop methods). The results indicate that humic acids achieve optimal adsorption at a hyaluronic acid concentration of 30 g/L, regardless of molecular weight. In contrast, carboxymethyl cellulose reduces the surface activity of humic acids. Additionally, a combined solution of humic acids and hyaluronic acid improves the wetting efficiency of wheat leaves compared to individual solutions. However, humic acids showed minimal impact on the absorption or systemic distribution of hyaluronic acid within the plant.

Indexed as

carboxymethyl celluloseco-adsorptionhumic acidshyaluronic acidliquid–liquid interfacewetting

Identifiers

PMID40942143
PMCPMC12430201

What OpenQuestion holds

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LicenceCC BY
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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.