Evidence map›Paper›PMID 42198178›Full record

ArticlePolymers2026

Chitosan-Modified Coconut Shell Activated Carbon for Efficient Hexavalent Chromium Removal from Aqueous Solution.

Danyun Lei, Weiyi She, Xiaoyu Chen, Lei You, Ying Zheng, Byoung-Suhk Kim

Abstract read
In one paragraph

Article in Polymers, 2026. 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.

Danyun LeiCollege of Urban Construction, Wuchang Shouyi University, Wuhan 430064, China.
Weiyi SheCollege of Urban Construction, Wuchang Shouyi University, Wuhan 430064, China.
Xiaoyu ChenCollege of Urban Construction, Wuchang Shouyi University, Wuhan 430064, China.
Lei YouCollege of Urban Construction, Wuchang Shouyi University, Wuhan 430064, China.
Ying ZhengCollege of Urban Construction, Wuchang Shouyi University, Wuhan 430064, China.
Byoung-Suhk KimDepartment of Organic Materials & Textile Engineering, Jeonbuk National University, Jeonju-si 561-756, Jeollabuk-do, Republic of Korea.ORCID 0000-0001-8070-3424

Funding

Hubei Provincial Central Guidance Local Science and Technology Development Project B2023368Innovation and Entrepreneurship Training Program for Undergraduate X202512309002Natural Science Foundation of Hubei province 2023AFB499
6 · The paper itself

Abstract

Chitosan (CS) was employed to modify coconut shell activated carbon (CAC) to fabricate a composite adsorbent for wastewater treatment. By integrating the functional groups of CS with the high specific surface area of CAC through chemical modification, the resulting CS-AC composite exhibited significantly enhanced adsorption performance toward hexavalent chromium (Cr(VI)) in aqueous solutions. The effects of key parameters, including adsorbent dosage, initial Cr(VI) concentration, contact time, temperature, and solution pH on the adsorption efficiency were systematically investigated. Under optimal conditions, the CS-AC composite achieved a Cr(VI) removal efficiency of up to 99.04%. Kinetic and isotherm modeling revealed that the adsorption process followed the pseudo-second-order kinetic model and was well described by the Langmuir isotherm. Regeneration studies conducted over five consecutive adsorption-desorption cycles demonstrated that the composite retained a high removal efficiency of 98.10%, indicating excellent reusability. These findings suggest that the CS-AC composite is a promising and effective adsorbent for the removal of Cr(VI) from contaminated water.

Indexed as

adsorptionchemical modificationchitosancoconut shell activated carbonhexavalent chromium

Identifiers

PMID42198178
PMCPMC13210409

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.