Efficient Fluoride Removal by Ce-MOFs and Ce/Mg MOFs: A Mechanistic Investigation.

Yang Lu, Wei Wei, Shaogen Liu, Xinyu Zhang, Yueyue Tu, Yuhao Li, Junyi Peng, Ruicheng Huang, Xianhuai Huang

Abstract read

In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yang LuAnhui Provincial Key Laboratory of Water Pollution Control and Waste Water Resource Recovery, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, P. R. China.

Wei WeiAnhui Provincial Key Laboratory of Water Pollution Control and Waste Water Resource Recovery, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, P. R. China.ORCID https://orcid.org/0000-0003-2087-1447

Shaogen LiuAnhui Provincial Key Laboratory of Water Pollution Control and Waste Water Resource Recovery, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, P. R. China.

Xinyu ZhangAnhui Provincial Key Laboratory of Water Pollution Control and Waste Water Resource Recovery, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, P. R. China.

Yueyue TuAnhui Provincial Key Laboratory of Water Pollution Control and Waste Water Resource Recovery, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, P. R. China.

Yuhao LiAnhui Provincial Key Laboratory of Water Pollution Control and Waste Water Resource Recovery, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, P. R. China.

Junyi PengAnhui Provincial Key Laboratory of Water Pollution Control and Waste Water Resource Recovery, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, P. R. China.

Ruicheng HuangAnhui Provincial Key Laboratory of Water Pollution Control and Waste Water Resource Recovery, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, P. R. China.

Xianhuai HuangAnhui Provincial Key Laboratory of Water Pollution Control and Waste Water Resource Recovery, School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adsorption is a highly effective method for eliminating excess fluoride from water. However, conventional adsorbents are constrained by limited adsorption capacities, subpar interference resistances, and low regeneration efficiencies. To overcome these limitations, this study adopts a one-pot synthesis method for the rapid preparation of Ce-based (Ce-MOFs) and Ce/Mg-based (Ce/Mg MOFs) metal-organic frameworks, yielding fluoride adsorbents with high adsorption capacities, remarkable interference resistances, and high regeneration performances. Optimal synthesis conditions comprised a Ce to terephthalic acid molar ratio of 1:5 and a Ce, Mg, and terephthalic acid molar ratio of 0.5:0.5:5 for Ce-MOFs and Ce/Mg MOFs, respectively. Both materials had removal efficiencies that exceeded 74% within a pH range of 2-10, indicating broad pH adaptability. Their outstanding F

Identifiers

PMID41970900

DOI10.1021/acsomega.5c13052

PMCPMC13062989

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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.