Dual-functional Cu2O/g-C3N4 heterojunctions: a high-performance SERS sensor and photocatalytic self-cleaning system for water pollution detection and remediation

This study introduces a multifunctional device based on Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub> monitoring and purification p-n heterojunctions (MPHs), seamlessly integrating surface-enhanced Raman scattering (SERS) detection with photocatalytic degradation capabilities. The SERS and photocatalytic performances of the Cu<sub>2</sub>O in various morphologies, g-C<sub>3</sub>N<sub>4</sub> nanosheets (NSs) and Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub> MPHs with different g-C<sub>3</sub>N<sub>4</sub> mass ratios were systematically evaluated, with a particular emphasis on the Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub>-0.2 MPH, where g-C<sub>3</sub>N<sub>4</sub> constituted 20% of the total mass. Multiple optical and electrochemical tests revealed that the Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub>-0.2 MPH effectively enhances charge separation and reduces charge transfer resistance. The Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub>-0.2 SERS sensor exhibited a relative standard deviation (RSD) below 15% and achieved an enhancement factor (EF) of 2.43 × 10<sup>6</sup> for 4-ATP detection, demonstrating its high sensitivity and consistency. Additionally, it demonstrated a 98.3% degradation efficiency for methyl orange (MO) under visible light within 90 min. Remarkably, even after 216 days, its photocatalytic efficiency remained at 93.7%, and it retained an 84.0% efficiency after four cycles. XRD and SEM analyses before and after cycling, as well as after 216 days, confirmed the structural and morphological stability of the composite, demonstrating its cyclic and long-term stability. The excellent performance of the Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub> MPH is attributed to its Z-type mechanism, as verified by radical trapping experiments. The evaluation of the self-cleaning performance of the Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub>-0.2 SERS sensor demonstrated that its Z-scheme structure not only provides excellent self-cleaning capability but also enables the detection of both individual and mixed pollutants, while significantly enhancing the SERS signal response through an effective charge transfer enhancement mechanism.

Authors

Institutions

Publication Details

Journal
Microsystems & Nanoengineering
Published
2024-12-20
DOI
https://doi.org/10.1038/s41378-024-00846-7
Citations
15
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
1.54

Funders

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

Dual-functional Cu2O/g-C3N4 heterojunctions: a high-performance SERS sensor and photocatalytic self-cleaning system for water pollution detection and remediation

Ping Huang, Donglai Han, Keyan Liu, Kaiyue Li et al.
15 citations
Microsystems & Nanoengineering
Advanced Photocatalysis Techniques
1.54
article

Dual-functional Cu2O/g-C3N4 heterojunctions: a high-performance SERS sensor and photocatalytic self-cleaning system for water pollution detection and remediation

Ping Huang, Donglai Han, Keyan Liu, Kaiyue Li, Wenhui Li, Ziwen Yang, Shuo Yang, Yi Zhuo
article en
15 citations

Abstract

This study introduces a multifunctional device based on Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub> monitoring and purification p-n heterojunctions (MPHs), seamlessly integrating surface-enhanced Raman scattering (SERS) detection with photocatalytic degradation capabilities. The SERS and photocatalytic performances of the Cu<sub>2</sub>O in various morphologies, g-C<sub>3</sub>N<sub>4</sub> nanosheets (NSs) and Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub> MPHs with different g-C<sub>3</sub>N<sub>4</sub> mass ratios were systematically evaluated, with a particular emphasis on the Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub>-0.2 MPH, where g-C<sub>3</sub>N<sub>4</sub> constituted 20% of the total mass. Multiple optical and electrochemical tests revealed that the Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub>-0.2 MPH effectively enhances charge separation and reduces charge transfer resistance. The Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub>-0.2 SERS sensor exhibited a relative standard deviation (RSD) below 15% and achieved an enhancement factor (EF) of 2.43 × 10<sup>6</sup> for 4-ATP detection, demonstrating its high sensitivity and consistency. Additionally, it demonstrated a 98.3% degradation efficiency for methyl orange (MO) under visible light within 90 min. Remarkably, even after 216 days, its photocatalytic efficiency remained at 93.7%, and it retained an 84.0% efficiency after four cycles. XRD and SEM analyses before and after cycling, as well as after 216 days, confirmed the structural and morphological stability of the composite, demonstrating its cyclic and long-term stability. The excellent performance of the Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub> MPH is attributed to its Z-type mechanism, as verified by radical trapping experiments. The evaluation of the self-cleaning performance of the Cu<sub>2</sub>O/g-C<sub>3</sub>N<sub>4</sub>-0.2 SERS sensor demonstrated that its Z-scheme structure not only provides excellent self-cleaning capability but also enables the detection of both individual and mixed pollutants, while significantly enhancing the SERS signal response through an effective charge transfer enhancement mechanism.

Microsystems & NanoengineeringVol. 10(1)
Changchun University of Science and Technology (CN), Changchun University (CN)
People's Government of Jilin Province, Department of Science and Technology of Jilin Province
Clean water and sanitation
Openalex Percentile: Top 18%
Advanced Photocatalysis Techniques
1.54
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.