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

https://mdr.nims.go.jp/datasets/8e42e92b-cdb0-40a3-a508-69062fa4c515

## File

- [s43246-026-01150-9.pdf](https://mdr.nims.go.jp/filesets/d25c58db-7f22-46c0-ac8e-95c3d766b423/download) ([Detail](https://mdr.nims.go.jp/filesets/d25c58db-7f22-46c0-ac8e-95c3d766b423.md))

## Id

8e42e92b-cdb0-40a3-a508-69062fa4c515

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-07-23T02:34:19.196867Z

## Updated at

2026-07-23T02:52:39.456434Z

## Published at

2026-07-24T03:28:54.235425Z

## Doi



## First published url

https://doi.org/10.1038/s43246-026-01150-9

## Date published

2026-05-12

## Recorded date published



## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Carbon-black-coupled bimetallic CoCu-ZIF composites for monohydroxylated
    polycyclic aromatic hydrocarbon metabolite sensing
  title_type: original
  lang: en

## Description

- description: 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 Co3+/Co2+ and Cu2+/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 the 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.
  description_type: abstract
  lang: und

## Creator

- name: Chandra Wulandari
  role: author
  orcid: https://orcid.org/0000-0002-9990-2746
- name: Atqiya Muslihati
  role: author
- name: Ni Luh Wulan Septiani
  role: author
- name: Ahmad Nuruddin
  role: author
- name: Brian Yuliarto
  role: author
- name: Yusuke Yamauchi
  role: author
  orcid: https://orcid.org/0000-0001-7854-927X
- name: Joel Henzie
  role: author
  orcid: https://orcid.org/0000-0002-9190-2645
- name: Erwin Peiner
  role: author
  orcid: https://orcid.org/0000-0001-5801-813X
- name: Hutomo Suryo Wasisto
  role: author
  orcid: https://orcid.org/0000-0002-4522-3625
- name: Nugraha Nugraha
  role: author

## Contact agent



## Publisher

organization: Springer Science and Business Media LLC

## Managing organization



## Keyword

- subject: PAH metabolites
  schema: not_defined
- subject: Electrochemical sensing
  schema: not_defined
- subject: bimetallic metal organic framework
  schema: not_defined
- subject: environmental biomonitoring
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin



## Embargo



## Journal

- title: Communications Materials
  issn: '26624443'
  volume: '7'
  issue: '1'
  article_number: '195'

## Conference



## Related item



## Funding

- identifier: JPMXP1224NM5002
  funder_name: Ministry of Education, Culture, Sports, Science and Technology

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: d25c58db-7f22-46c0-ac8e-95c3d766b423
  filename: s43246-026-01150-9.pdf
  content_type: application/pdf
  size: 3399839
  md5: 53c57594bfd06a50902b708548ec641e

## Thumbnail

fileset_id: d25c58db-7f22-46c0-ac8e-95c3d766b423
filename: s43246-026-01150-9.pdf