Metal–Organic Framework MIL-101(Cr)-Based Sensor for the Selective Adsorption and Electrochemical Detection of Perfluorooctanesulfonate

Abstract Perfluorooctanesulfonate (PFOS) is a highly persistent and toxic per- and polyfluoroalkyl substance (PFAS) widely recognized for its serious risks to both environmental and human health. In this work, an electrochemical impedance spectroscopy (EIS)-based sensor was developed for PFOS detection by integrating a MIL-101(Cr) metal–organic framework (MOF) sensing layer on the working electrode and a nickel hexacyanoferrate (NiHCF)-modified counter electrode. This simple and practical two-electrode system utilizes the large pore size, high surface area, and chromium center of MIL-101(Cr) to enable strong electrostatic and host–guest interactions with PFOS, leading to pronounced changes in pore resistance upon adsorption. The fabricated sensor exhibits a linear relationship between PFOS concentrations and pore resistance, with the limit of detection reaching 10.13 ppt. Selectivity tests demonstrate that excess amounts of common PFAS analogs, humic acid, and inorganic salts do not significantly interfere with the PFOS signal. This was further validated by statistical analysis using one-way ANOVA followed by Dunnett’s test, which confirmed that most interference conditions are not significantly different from PFOS alone. The sensor also shows stable performance over repeated measurements and operates effectively within the pH range of 5–8. Lastly, sensing experiments involving real water samples verify the applicability of the device for the detection of PFOS in complex matrices.

Authors

Institutions

Publication Details

Journal
Langmuir
Published
2026-10-07
DOI
https://doi.org/10.1021/acs.langmuir.6c03752
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metal–Organic Framework MIL-101(Cr)-Based Sensor for the Selective Adsorption and Electrochemical Detection of Perfluorooctanesulfonate

Lin‐Chi Chen, Eduardo C. Atayde, Chun-Hsuan Lin, Sher Ling Lee et al.
Langmuir
Per- and polyfluoroalkyl substances research
article

Metal–Organic Framework MIL-101(Cr)-Based Sensor for the Selective Adsorption and Electrochemical Detection of Perfluorooctanesulfonate

Lin‐Chi Chen, Eduardo C. Atayde, Chun-Hsuan Lin, Sher Ling Lee, Kuo–Chuan Ho, Tung Kuo-Lun, Kevin C.‐W. Wu, Yu-Kang Wang, Yen-Chang Chen
article en

Abstract

Abstract Perfluorooctanesulfonate (PFOS) is a highly persistent and toxic per- and polyfluoroalkyl substance (PFAS) widely recognized for its serious risks to both environmental and human health. In this work, an electrochemical impedance spectroscopy (EIS)-based sensor was developed for PFOS detection by integrating a MIL-101(Cr) metal–organic framework (MOF) sensing layer on the working electrode and a nickel hexacyanoferrate (NiHCF)-modified counter electrode. This simple and practical two-electrode system utilizes the large pore size, high surface area, and chromium center of MIL-101(Cr) to enable strong electrostatic and host–guest interactions with PFOS, leading to pronounced changes in pore resistance upon adsorption. The fabricated sensor exhibits a linear relationship between PFOS concentrations and pore resistance, with the limit of detection reaching 10.13 ppt. Selectivity tests demonstrate that excess amounts of common PFAS analogs, humic acid, and inorganic salts do not significantly interfere with the PFOS signal. This was further validated by statistical analysis using one-way ANOVA followed by Dunnett’s test, which confirmed that most interference conditions are not significantly different from PFOS alone. The sensor also shows stable performance over repeated measurements and operates effectively within the pH range of 5–8. Lastly, sensing experiments involving real water samples verify the applicability of the device for the detection of PFOS in complex matrices.

Langmuir
Chung Yuan Christian University (TW), Chulalongkorn University (TH), National Taiwan University (TW), Tohoku University (JP), Taiwan Semiconductor Manufacturing Company (China) (CN), Taiwan Semiconductor Manufacturing Company (Taiwan) (TW), University of the Philippines Diliman (PH), Yuan Ze University (TW)
Openalex Percentile: Top 22%
Per- and polyfluoroalkyl substances research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.