Related Experiment Video
Updated: May 24, 2026

08:49
Multimodal Nonlinear Hyperspectral Chemical Imaging Using Line-Scanning Vibrational Sum-Frequency Generation Microscopy
Published on: December 1, 2023
Multiband sensor using thick holographic gratings for sulfur detection by laser-induced breakdown spectroscopy
Daniel Gagnon1, Simon Lessard, Marc Verhaegen
1Photon Etc. Inc., 5795 Avenue de Gaspé, Montréal, Québec, H2S 2X3, Canada. dgagnon@photonetc.com
Applied Optics
|March 14, 2012
Summary
A new method uses near-infrared laser-induced breakdown spectroscopy to detect sulfur, overcoming challenges with traditional optical emission spectroscopy. This innovative approach offers a low-cost, efficient alternative with comparable detection limits.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Materials Science
Background:
- Traditional optical emission spectroscopy for sulfur detection faces limitations due to strong spectral lines in the vacuum UV range, which are absorbed by atmospheric oxygen.
- Existing high-end systems for sulfur detection can be costly and complex.
Purpose of the Study:
- To propose and evaluate a novel, low-cost, and efficient system for sulfur detection.
- To utilize near-infrared (near-IR) spectral bands for sulfur analysis, circumventing vacuum UV limitations.
Main Methods:
- The proposed system employs laser-induced breakdown spectroscopy (LIBS) in the near-IR region.
- Customized thick holographic gratings are used as spectral filtering elements.
- Integrated custom electronics handle signal amplification, integration, and temporal synchronization for photodiode signals.
Main Results:
- The system successfully utilizes near-IR sulfur lines at 921.287 nm with a background reference at 900 nm.
- Preliminary results demonstrate a limit of detection comparable to conventional high-end sulfur detection systems.
Conclusions:
- The developed near-IR LIBS system offers a viable and cost-effective alternative for sulfur detection.
- This novel approach effectively overcomes the challenges associated with vacuum UV-based optical emission spectroscopy for sulfur analysis.

