Carbon-black-coupled bimetallic CoCu-ZIF composites for monohydroxylated polycyclic aromatic hydrocarbon metabolite sensing

Abstract Polycyclic aromatic hydrocarbons are hazardous, carcinogenic pollutants produced by the incomplete combustion of organic materials, and their detection remains a technological challenge. Here, we develop bimetallic cobalt-and-copper-based zeolitic imidazolate framework (CoCu-ZIF) particles coupled with carbon black (CB) for highly sensitive and selective electrochemical sensing of 2-Naphthol, a monohydroxylated polycyclic aromatic hydrocarbon. The CoCu-ZIF with dual redox-active sites of Co 3+ /Co 2+ and Cu 2+ /Cu + promotes efficient electron transfer during the oxidation process, thus effectively catalyzing the oxidation of 2-Naphthol. Carbon black provides a conductive network facilitating efficient electron transport between CoCu-ZIF and electrode surface. The fabricated sensors exhibit a sensitivity and limit of detection of 0.98 µA µM⁻¹ and 0.46 µM, respectively, during exposure to 2-Naphthol within a detection range of 1–500 µM. Moreover, due to their excellent sensing performance, selectivity, reproducibility, and recovery rate in non-biological urine, the developed composites offer strong potential for real-time polycyclic aromatic hydrocarbon monitoring and future use in environmental sensor technologies.

Authors

Institutions

Publication Details

Journal
Communications Materials
Published
2026-05-12
DOI
https://doi.org/10.1038/s43246-026-01150-9
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Carbon-black-coupled bimetallic CoCu-ZIF composites for monohydroxylated polycyclic aromatic hydrocarbon metabolite sensing

Joel Henzie, Ni Luh Wulan Septiani, Chandra Wulandari, Hutomo Suryo Wasisto et al.
Communications Materials
Electrochemical sensors and biosensors
article

Carbon-black-coupled bimetallic CoCu-ZIF composites for monohydroxylated polycyclic aromatic hydrocarbon metabolite sensing

Joel Henzie, Ni Luh Wulan Septiani, Chandra Wulandari, Hutomo Suryo Wasisto, Atqiya Muslihati, Nugraha Nugraha, Ahmad Nuruddin, Erwin Peiner, Yusuke Yamauchi, Brian Yuliarto
article en

Abstract

Abstract Polycyclic aromatic hydrocarbons are hazardous, carcinogenic pollutants produced by the incomplete combustion of organic materials, and their detection remains a technological challenge. Here, we develop bimetallic cobalt-and-copper-based zeolitic imidazolate framework (CoCu-ZIF) particles coupled with carbon black (CB) for highly sensitive and selective electrochemical sensing of 2-Naphthol, a monohydroxylated polycyclic aromatic hydrocarbon. The CoCu-ZIF with dual redox-active sites of Co 3+ /Co 2+ and Cu 2+ /Cu + promotes efficient electron transfer during the oxidation process, thus effectively catalyzing the oxidation of 2-Naphthol. Carbon black provides a conductive network facilitating efficient electron transport between CoCu-ZIF and electrode surface. The fabricated sensors exhibit a sensitivity and limit of detection of 0.98 µA µM⁻¹ and 0.46 µM, respectively, during exposure to 2-Naphthol within a detection range of 1–500 µM. Moreover, due to their excellent sensing performance, selectivity, reproducibility, and recovery rate in non-biological urine, the developed composites offer strong potential for real-time polycyclic aromatic hydrocarbon monitoring and future use in environmental sensor technologies.

Communications Materials
Indonesia University of Education (ID), Bandung Institute of Technology (ID), The University of Queensland (AU), National Institute for Materials Science (JP), PT Bio Farma (Indonesia) (ID), National Nuclear Energy Agency of Indonesia (ID), Nagoya University (JP), Technische Universität Braunschweig (DE)
Irish College of General Practitioners, Technische Universität Braunschweig, Institut Teknologi Bandung, National Institute for Materials Science, Exploratory Research for Advanced Technology
Openalex Percentile: Top 8%
Electrochemical sensors and biosensors
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.