Evidence map›Paper›PMID 39021580›Full record

ArticleACS ES&T water2024

Surface Modification of Graphene Oxide for Fast Removal of Per- and Polyfluoroalkyl Substances (PFAS) Mixtures from River Water.

Md Nahid Pervez, Tao Jiang, Jaydev Kumar Mahato, Aswin Kumar Ilango, Yamini Kumaran, Yuwei Zuo, Weilan Zhang, Haralabos Efstathiadis, Jeremy I Feldblyum, Mehmet V Yigit and 1 more

Abstract read
In one paragraph

Article in ACS ES&T water, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Comparative Analysis of Commercial and Novel High-Pressure Membranes for Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS) Removal.Water environment research : a research publication of the Water Environment Federation · 2025
    Review
  9. Review
  10. Article
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

11 authors.

Md Nahid PervezDepartment of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.
Tao JiangDepartment of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.ORCID https://orcid.org/0000-0003-1582-9885
Jaydev Kumar MahatoDepartment of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.
Aswin Kumar IlangoDepartment of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.ORCID https://orcid.org/0000-0002-0679-8880
Yamini KumaranDepartment of Nanoscale Science and Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.
Yuwei ZuoDepartment of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.
Weilan ZhangDepartment of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.ORCID https://orcid.org/0000-0003-3148-1751
Haralabos EfstathiadisDepartment of Nanoscale Science and Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.
Jeremy I FeldblyumDepartment of Chemistry, University at Albany, State University of New York, Albany, New York 12222, United States.ORCID https://orcid.org/0000-0001-6667-9587
Mehmet V YigitDepartment of Chemistry, University at Albany, State University of New York, Albany, New York 12222, United States.ORCID https://orcid.org/0000-0002-4349-3701
Yanna LiangDepartment of Environmental and Sustainable Engineering, University at Albany, State University of New York, Albany, New York 12222, United States.ORCID https://orcid.org/0000-0003-1720-1039

Funding

DNA nanotechnology and synthetic biology for AI-supported detection and precision therapeuticsR35GM156250 · NIGMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI Mehmet Veysel Yigit · 2025 to 2026
$779k
NIGMS NIH HHS R35 GM156250
6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFAS) make up a diverse group of industrially derived organic chemicals that are of significant concern due to their detrimental effects on human health and ecosystems. Although other technologies are available for removing PFAS, adsorption remains a viable and effective method. Accordingly, the current study reported a novel type of graphene oxide (GO)-based adsorbent and tested their removal performance toward removing PFAS from water. Among the eight adsorbents tested, GO modified by a cationic surfactant, cetyltrimethylammonium chloride (CTAC), GO-CTAC was found to be the best, showing an almost 100% removal for all 11 PFAS tested. The adsorption kinetics were best described by the pseudo-second-order model, indicating rapid adsorption. The isotherm data were well supported by the Toth model, suggesting that PFAS adsorption onto GO-CTAC involved complex interactions. Detailed characterization using scanning electron microscopy-energy dispersive X-ray spectroscopy, Fourier transform infrared, thermogravimetric analysis, X-ray diffraction, and X-ray photoelectron spectroscopy confirmed the proposed adsorption mechanisms, including electrostatic and hydrophobic interactions. Interestingly, the performance of GO-CTAC was not influenced by the solution pH, ionic strength, or natural organic matter. Furthermore, the removal efficiency of PFAS at almost 100% in river water demonstrated that GO-CTAC could be a suitable adsorbent for capturing PFAS in real surface water.

Identifiers

PMID39021580
PMCPMC11249979

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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.