Evidence map›Paper›PMID 39789233›Full record

ArticleScientific reports2025

Infrared spectroscopic study on residual chitosan-based composite seed coating in kaolin.

Huang Lanchun, Wu Qian, Huang Teng, Enwen Wang, Kong Desong, Wang Hai

Abstract read
In one paragraph

Article in Scientific reports, 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

6 authors.

Huang LanchunSchool of Resources and Environmental Engineering, Anshun University, Anshun, 561000, China.
Wu QianSchool of Resources and Environmental Engineering, Anshun University, Anshun, 561000, China.
Huang TengSchool of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Mianyang, China.
Enwen WangSchool of Resources and Environmental Engineering, Anshun University, Anshun, 561000, China. wang_ew@163.com.
Kong DesongSchool of Environment and Resource, Southwest University of Science and Technology, Mianyang, 621010, Mianyang, China.
Wang HaiSchool of Resources and Environmental Engineering, Anshun University, Anshun, 561000, China.

Funding

Innovation Group Project of Education Department in Guizhou province KY2020[028]Opening fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology) Grant No. SKLGP2023K006 and Grant No. SKLGP2022K014
6 · The paper itself

Abstract

The decomposition of residual chitosan-based composite seed coating in kaolin under different temperatures and salinities is analyzed with a Fourier transform infrared spectroscopy (FT-IR). The degradation cycle is 28 days. The results show that a residue of the chitosan-based composite seed coating still exists in the kaolin on Day 7. From Day 7 to Day 14, the degradation rate of the chitosan-based composite seed coating is relatively slow. On Day 21, the chitosan-based composite seed coating is degraded entirely, and the degradation rate is quick during this period. However, the residue of this seed coating after degradation has a chemical action with the kaolin. On Day 28, the chitosan-based composite seed coating and residue aree wholly degraded in the kaolin. The chitosan-based composite seed coating can be completely degraded without residue. When the salinity of the kaolin is less than 1.0% under 0 -3̄0 ℃, its degradation rate and products will not be affected by temperature and salinity.

Indexed as

Chitosan-based composite seed coatingInfrared spectroscopyResiduesSalinityTemperature

Identifiers

PMID39789233
PMCPMC11718313

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.