Bart de Nijs
Papers
1
Total Citations
15
H-Index
1
About
Bart de Nijs is a leading researcher in the field of nanophotonics and surface-enhanced Raman spectroscopy (SERS), with a particular focus on the automation and quantification of multianalyte sensing. His major contributions center on revealing the fundamental complexities of SERS, most notably through his work on the "SERSbot" system. In his highly cited 2021 study, de Nijs demonstrated that extracting individual analyte concentrations from SERS spectra is not straightforward—because different molecules bind to distinct sites within and outside of plasmonic hotspots with varying affinities. This work underscored the necessity of knowing all binding constants and geometry-related factors to achieve accurate quantification, a finding that has reshaped how the field approaches multianalyte detection. With over 15 citations for this key paper and a growing body of influential work, de Nijs has established himself as a critical voice in advancing the reliability and automation of SERS-based sensing. His research bridges experimental innovation and theoretical insight, making him a key figure for students and researchers interested in the next generation of optical sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1