Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Vertical Superior Epigastric Artery Perforator Flap for Autologous Breast Augmentation After Massive Weight Loss.

Plastic and reconstructive surgery·2026
Same author

Digital Cognitive Twins in mental health.

Nature. Mental health·2026
Same author

Assessing PRISM context domains and RE-AIM outcomes: data from use of the iterative PRISM webtool.

Implementation science communications·2026
Same author

Longitudinal Monitoring of Metabolic Gradients in Microreactor Culture Platforms by Raman Spectroscopy.

Biosensors·2026
Same author

Social determinants of health and temporospatial trends associated with Giardia duodenalis infection in Texas canines.

Scientific reports·2026
Same author

Mechanical and Bond Performance of Alkali-Activated Slag Concrete Incorporating Natural and Recycled Diatoms.

Materials (Basel, Switzerland)·2026

Related Experiment Video

Updated: Nov 28, 2025

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures
08:01

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Published on: November 21, 2019

7.5K

Gaussian Beam Shaping and Multivariate Analysis in Plasmonic Sensing.

Jaione Etxebarria-Elezgarai1, Miriam Mowat1, Eneko Lopez1

  • 1CIC nanoGUNE BRTA, Tolosa Hiribidea 76, Donostia-San Sebastián 20018, Spain.

Analytical Chemistry
|November 25, 2020
PubMed
Summary

Gaussian beam shaping and partial least squares analysis significantly enhance surface plasmon resonance (SPR) sensor performance. This novel strategy improves analytical sensitivity and reduces prediction error for detecting unknown analytes.

More Related Videos

Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle
15:06

Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle

Published on: January 3, 2016

13.2K
Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons
07:39

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

Published on: July 21, 2018

7.1K

Related Experiment Videos

Last Updated: Nov 28, 2025

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures
08:01

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Published on: November 21, 2019

7.5K
Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle
15:06

Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle

Published on: January 3, 2016

13.2K
Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons
07:39

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

Published on: July 21, 2018

7.1K

Area of Science:

  • Optics and Photonics
  • Analytical Chemistry
  • Materials Science

Background:

  • Surface plasmon resonance (SPR) systems are widely used for sensing applications.
  • Current SPR systems face limitations in sensitivity, precision, and resolution.
  • Improving the performance of SPR sensors is crucial for advanced analytical detection.

Purpose of the Study:

  • To develop a novel strategy for enhancing the sensing performance of prism-coupled SPR systems.
  • To investigate the combined effects of Gaussian beam shaping and multivariate data analysis on SPR.
  • To overcome existing limitations in plasmonic detection systems.

Main Methods:

  • Gaussian beam approximation was used to model beam propagation and optimize the incident beam.
  • Beam shaping ensured precise alignment of the beam waist at the metal-dielectric interface for a collimated beam.
  • Partial least squares (PLS) multivariate analysis was employed to analyze SPR curves, combining multiple features for precise response analysis.

Main Results:

  • Gaussian beam shaping resulted in a stronger and sharper plasmonic resonance due to least angular dispersion.
  • Partial least squares analysis significantly improved SPR curve analysis compared to univariate methods.
  • The combined approach enhanced analytical sensitivity by a factor of 16 and reduced prediction error by a factor of 11.

Conclusions:

  • The integration of Gaussian beam shaping and PLS multivariate analysis represents a significant advancement in SPR sensing.
  • This strategy overcomes current limitations, leading to substantially improved sensing performance.
  • The enhanced SPR system achieved a resolution of 5 × 10-7 refractive index units (RIU) in angular interrogation.