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Dr. Jing Wu | Plasmonic Nanomaterials | Best Researcher Award

Lecturer at  Nantong University | China

Dr. Jing Wu earned her doctorate in optics from Shanghai University and currently serves as a full-time faculty member in the School of Physical Science and Technology at Nantong University. Her primary research revolves around the controlled fabrication of plasmonic nanostructures and their application in surface-enhanced Raman spectroscopy (SERS). She focuses on synthesizing noble-metal micro- and nanostructures with tailored optical properties for enhanced molecular detection sensitivity. Dr. Wu’s work integrates advanced nanofabrication, electromagnetic simulation, and molecular sensing techniques to design SERS-active substrates capable of detecting ultra-trace biomolecules. She has authored nearly 20 SCI-indexed papers, contributed to several invention patents, and led provincial-level research and teaching reform projects. Her scientific endeavors are dedicated to improving the precision and reliability of nanoscale optical sensors, contributing to advancements in materials science, biomedical engineering, and analytical chemistry. With 228 citations, 40 publications, and an h-index of 9 on Scopus, Dr. Wu has established a solid research profile reflecting both innovation and academic rigor. Her achievements underscore her role as a promising researcher in the fields of nanophotonics and plasmonic sensing.

Profile : Scopus | ORCID

Featured Publications

Wu, J., et al. (2025). A magnetic coupled organic SERS platform integrating acetonitrile-driven microextraction and hotspot enrichment: A new strategy for highly sensitive and precise detection of drug molecules in complex matrices. Biosensors and Bioelectronics, 2025.

Wu, J., et al. (2025). SERS technology in virus detection: Advances, challenges, and future perspectives, 2025.

Wu, J., et al. (2025). SERS detection of analgesics in serum based on Ag nanocubes for perioperative monitoring. Talanta, 2025. Citations: 4

Wu, J., et al. (2025). Advanced SERSome-based artificial-intelligence technology for identifying medicinal and edible homologs. Talanta, 2025.

Jing Wu | Plasmonic Nanomaterials | Best Researcher Award

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