Evidence map›Paper›PMID 41900677›Full record

ArticleMaterials (Basel, Switzerland)2026

Optimizing Modified Activated Carbon Fiber for Organic Pollutant Removal from Reverse Osmosis Concentrate: Response Surface Modeling and Optimization.

Xiaohan Wei, Aili Gao, Ruijia Ma, Yunchang Huang, Chenglin Liu, Jinlong Wang, Lihua Cheng, Xuejun Bi

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

8 authors.

Xiaohan WeiSchool of Environmental & Municipal Engineering, Qingdao University of Technology, 777 Jialingjiangdong Road, Qingdao 266520, China.
Aili GaoSchool of Environmental & Municipal Engineering, Qingdao University of Technology, 777 Jialingjiangdong Road, Qingdao 266520, China.
Ruijia MaSchool of Environmental & Municipal Engineering, Qingdao University of Technology, 777 Jialingjiangdong Road, Qingdao 266520, China.
Yunchang HuangThe Fourth Construction Co., Ltd. of China Construction Eighth Engineering Division, China Construction Building, 169 Songling Road, Qingdao 266100, China.
Chenglin LiuThe Fourth Construction Co., Ltd. of China Construction Eighth Engineering Division, China Construction Building, 169 Songling Road, Qingdao 266100, China.
Jinlong WangQingdao Jinlonghongye Environmental Protection Co., Ltd., 2 Tianbaoshan Road, Qingdao 266510, China.
Lihua ChengSchool of Environmental & Municipal Engineering, Qingdao University of Technology, 777 Jialingjiangdong Road, Qingdao 266520, China.
Xuejun BiSchool of Environmental & Municipal Engineering, Qingdao University of Technology, 777 Jialingjiangdong Road, Qingdao 266520, China.ORCID 0000-0002-6030-0051

Funding

Lihua Cheng 2025TSGCCZZB0259
6 · The paper itself

Abstract

Reverse osmosis concentrate (ROC) contains relatively high levels of refractory organic pollutants, posing significant challenges due to its difficult treatment and high environmental risks. Therefore, efficient and convenient removal strategies are essential. In this study, a self-developed iron-modified activated carbon fiber (Fe-ACF) was employed as an adsorbent to remove organic pollutants from ROC. Additionally, response surface methodology (RSM) was applied to model the adsorption process, identify and evaluate key influencing parameters, and optimize operational conditions. The adsorption mechanisms and regeneration stability of Fe-ACF were also investigated. Kinetic analysis revealed that the adsorption process is predominantly governed by chemisorption, with intraparticle diffusion identified as the primary rate-limiting step. Isothermal adsorption studies demonstrated that the Langmuir-Freundlich model best describes the adsorption behavior, yielding a theoretical maximum adsorption capacity of 12.21 ± 0.80 mg/g. Thermodynamic analysis confirmed that the adsorption process is spontaneous, endothermic, and driven by an increase in entropy. The RSM optimization identified pH as the dominant factor. The optimal adsorption conditions were a pH of 4.18, a temperature of 34.63 °C, a stirring speed of 547.91 rpm, and an adsorbent dosage of 1.55 g/L. The adsorption mechanism involves hydrogen bonding, π-π interactions, surface complexation, and electrostatic forces. Fe-ACF exhibits competitive regeneration stability and structural integrity. In summary, Fe-ACF demonstrates significant potential as a treatment material for ROC.

Indexed as

adsorption mechanismFe-ACForganic pollutantsROCRSM

Identifiers

PMID41900677
PMCPMC13027874

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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.