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Defect-Engineered Monolayer MoS2 via Chemical Etching: A Facile Route to Study SERS Sensitivity
Ishwor Bahadur Khadka1, Kumar Gaurav2, Puspa Raj Adhikari3
1Division of System Semiconductor, Dongguk University, Seoul, Republic of Korea.
Controlled sulfur vacancies in monolayer molybdenum disulfide (ML-MoS2) significantly boost surface-enhanced Raman scattering (SERS) performance. Optimizing etching time is crucial for maximizing SERS activity and detection limits in ML-MoS2 sensors.
Area of Science:
- Materials Science
- Nanotechnology
- Surface Chemistry
Background:
- Monolayer molybdenum disulfide (ML-MoS2) is a promising material for sensing applications.
- Surface-enhanced Raman scattering (SERS) performance is highly dependent on the material's surface properties.
- Sulfur vacancies (S_v) are known to influence the electronic and chemical properties of 2D materials.
Purpose of the Study:
- To investigate the impact of chemical etching time on sulfur vacancy formation in ML-MoS2.
- To correlate S_v density with the surface-enhanced Raman scattering (SERS) activity of ML-MoS2.
- To explore the role of S_v in enhancing the sensing capabilities of ML-MoS2.
Main Methods:
- Controlled chemical etching of ML-MoS2 using hydrogen peroxide (H2O2).
- Characterization of sulfur vacancy concentration by varying etching duration.
- Evaluation of SERS performance using the modified ML-MoS2 as a substrate.
- Computational simulations to confirm the donor-like behavior of S_v sites.
Main Results:
- An optimal etching time of approximately 3 minutes with 20% H2O2 was identified for high S_v density.
- The optimized ML-MoS2 exhibited an ~80-fold increase in enhancement factor and a ~100-fold improvement in detection limit for SERS.
- Prolonged etching led to oxygen substitution, reducing SERS performance by decreasing adsorption capacity and surface activity.
Conclusions:
- Controlled sulfur vacancy engineering is a critical factor in enhancing the SERS activity of ML-MoS2.
- Etching duration precisely modulates S_v defects, tuning the opto-chemical properties for improved sensing.
- This work provides a pathway for developing advanced chemical mechanism-based SERS sensing platforms using ML-MoS2.
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