Publication detail

Al2O3/Covalent Organic Framework on 3D-Printed Nanocarbon Electrodes for Enhanced Biomarker Detection

WANG, L. NG, S. JYOTI, J. PUMERA, M.

Original Title

Al2O3/Covalent Organic Framework on 3D-Printed Nanocarbon Electrodes for Enhanced Biomarker Detection

Type

journal article in Web of Science

Language

English

Original Abstract

With the advantages of on-demand customization, 3D-printing techniques have elevated the horizon of various fields. The as-printed 3D structures often require postmodification to enhance their properties. Here, we describe the use of molecularly precise covalent framework modification in combination with atomic layer deposition (ALD) to construct advanced sensors. First, a high-stability electrode was obtained by covalent modification of porous nanomaterial [covalent organic frameworks, (COF)] on the activated 3D electrode for the first time. Subsequently, the Al2O3 nanomaterial was coated on the COF-based 3D electrode by the ALD technique. The constructed sensor termed Al2O3/COF/3DE was chosen for the determination of important biomarkers including ascorbic acid, catechol, and dopamine, which showed a high sensitivity for detecting these biomarkers. This work opens avenues for the covalent modification of porous materials on 3D-printed electrodes and deposition of functional material using the ALD technique on the modified 3D electrode surface.

Keywords

covalent organic frameworks; atomic layer deposition; covalent cross-linking; 3D printing; electrochemistry

Authors

WANG, L.; NG, S.; JYOTI, J.; PUMERA, M.

Released

22. 7. 2022

Publisher

AMER CHEMICAL SOC

Location

WASHINGTON

ISBN

2574-0970

Periodical

ACS Applied Nano Materials

Year of study

5

Number

7

State

United States of America

Pages from

9719

Pages to

9727

Pages count

9

URL

BibTex

@article{BUT178685,
  author="Lujun {Wang} and Siow Woon {Ng} and Jyoti {Jyoti} and Martin {Pumera}",
  title="Al2O3/Covalent Organic Framework on 3D-Printed Nanocarbon Electrodes for Enhanced Biomarker Detection",
  journal="ACS Applied Nano Materials",
  year="2022",
  volume="5",
  number="7",
  pages="9719--9727",
  doi="10.1021/acsanm.2c01937",
  issn="2574-0970",
  url="https://pubs.acs.org/doi/10.1021/acsanm.2c01937"
}