Evidence map›Paper›PMID 41470363›Full record

ArticleMaterials (Basel, Switzerland)2025

Efficient Tetracycline Adsorption by KOH-Activated Yak-Dung Biochar: Mechanistic Insights.

Wei Li, Yi Wu, Zengrui Gu, Chen Yang, Jiacheng Song, Jiaxuan Li, Yahao Zhang, Xuebin Lu, Jian Xiong

Abstract read
In one paragraph

Article in Materials (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

9 authors.

Wei LiSchool of Ecology and Environment, Xizang University, Lhasa 850012, China.ORCID 0009-0009-8194-6693
Yi WuSchool of Ecology and Environment, Xizang University, Lhasa 850012, China.
Zengrui GuSchool of Ecology and Environment, Xizang University, Lhasa 850012, China.
Chen YangSchool of Ecology and Environment, Xizang University, Lhasa 850012, China.
Jiacheng SongSchool of Ecology and Environment, Xizang University, Lhasa 850012, China.
Jiaxuan LiSchool of Ecology and Environment, Xizang University, Lhasa 850012, China.
Yahao ZhangSchool of Ecology and Environment, Xizang University, Lhasa 850012, China.
Xuebin LuSchool of Ecology and Environment, Xizang University, Lhasa 850012, China.
Jian XiongSchool of Ecology and Environment, Xizang University, Lhasa 850012, China.

Funding

Henan Key Laboratory of Water Pollution Control and Rehabilitation Technology CJSZ2024015Xizang Autonomous Region Science and Technology Plan Project XZ 201401 ZR 0035
6 · The paper itself

Abstract

In this study, yak dung was used as a precursor to prepare biochar (KYBC600) via high-temperature pyrolysis and KOH modification for the adsorption of tetracycline hydrochloride (TCH) from aqueous solution. Compared with commonly used biomass feedstocks such as straw and fruit shells, the resource-oriented utilization of yak dung holds dual significance: it contributes to regional environmental management and enables high-value conversion of waste, underscoring its distinct regional relevance and potential for synergistic environmental governance. The physicochemical properties of KYBC600 were characterized using BET surface area analysis, FTIR, XRD, and SEM. Adsorption behavior and mechanisms were systematically investigated through kinetic, isotherm, and thermodynamic studies, supplemented by response surface methodology (RSM). The results demonstrated that the adsorption of TCH onto KYBC600 followed pseudo-second-order kinetics and the Langmuir model, with a maximum adsorption capacity of 54.10 mg·g

Indexed as

adsorptionbiocharmodifiedtetracycline hydrochlorideyak dung

Identifiers

PMID41470363
PMCPMC12734492

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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.