Meijin Du
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Meijin Du has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Chuan Wang
School of Bioengineering, Dalian University of Technology, Dalian 116024, China
1 shared publication - Di Lian
School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian 116024, China
1 shared publication - He Li
School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian 116024, China
1 shared publication - Hu Meng
Department of Mathematics, Leicester International Institute, Dalian University of Technology, Dalian 116024, China
1 shared publication - Jun Ren
Liaoning Key Laboratory of Molecular Recognition and Imaging, School of Bioengineering, Dalian University of Technology, Dalian, China
1 shared publication - Shaojing Duan
School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian 116024, China
1 shared publication
Latest Publications
- Open Access
Acoustic Wave-Driven Microdroplet Enrichment for Surface-Enhanced Raman Spectroscopy Detection
Surface-enhanced Raman scattering (SERS) holds significant potential across environmental monitoring, materials science, and biomedical applications. However, challenges regarding ultra-sensitive detection and repeatability are bottlenecks for practical applications, especially in terms of detection uniformity. In this study, we utilized surface acoustic waves (SAW) in conjunction with Raman spectroscopy to actively enrich 5 μL of 50 nm gold nanoparticles (AuNPs), thereby achieving innovative SERS-active sensing. This dynamic enrichment process enables the dense and uniform aggregation of AuNPs in droplets, thereby facilitating reliable ultrasensitive detection. The SAW system was further optimized through hydrophobic surface treatment. Using 4-mercaptobenzoic acid as a probe analyte, our SAW-SERS method successfully detected concentrations as low as 10−8 mol/L. The surface acoustic waves had the capability to significantly amplify Raman signal intensity up to 100 compared to conventional drying methodologies. This SAW-induced AuNP clustering technology offers a rapid, label-free SERS sensing method characterized by exceptional sensitivity and uniformity.
Open AccessAcoustic Wave-Driven Microdroplet Enrichment for Surface-Enhanced Raman Spectroscopy Detection
Surface-enhanced Raman scattering (SERS) holds significant potential across environmental monitoring, materials science, and biomedical applications. However, challenges regarding ultra-sensitive detection and repeatability are bottlenecks for practical applications, especially in terms of detection uniformity. In this study, we utilized surface acoustic waves (SAW) in conjunction with Raman spectroscopy to actively enrich 5 μL of 50 nm gold nanoparticles (AuNPs), thereby achieving innovative SERS-active sensing. This dynamic enrichment process enables the dense and uniform aggregation of AuNPs in droplets, thereby facilitating reliable ultrasensitive detection. The SAW system was further optimized through hydrophobic surface treatment. Using 4-mercaptobenzoic acid as a probe analyte, our SAW-SERS method successfully detected concentrations as low as 10−8 mol/L. The surface acoustic waves had the capability to significantly amplify Raman signal intensity up to 100 compared to conventional drying methodologies. This SAW-induced AuNP clustering technology offers a rapid, label-free SERS sensing method characterized by exceptional sensitivity and uniformity.