Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 74,
  • Issue 2,
  • pp. 233-240
  • (2020)

Remote Raman Detection of Chemicals from 1752 m During Afternoon Daylight

Not Accessible

Your library or personal account may give you access

Abstract

The detection and identification of materials from a distance is highly desirable for applications where accessibility is limited or there are safety concerns. Raman spectroscopy can be performed remotely and provides a very high level of confidence in detection of chemicals through vibrational modes. However, the remote Raman detection of chemicals is challenging because of the very weak nature of Raman signals. Using a remote Raman system, we performed fast remote detection of various solid and liquid chemicals from 1752 m during afternoon hours on a sunny day in Hawaii. Remote Raman systems with kilometer target range could be useful for chemical detection of volcanic gases, methane clathrate icebergs or fire ice, toxic gas clouds and toxic waste, explosives, and hazardous chemicals. With this successful test, we demonstrate the feasibility of developing future mid-size remote Raman systems suitable for long range chemical detection using helicopters and light airplanes.

© 2019 The Author(s)

PDF Article
More Like This
Dual-wavelength wide area illumination Raman difference spectroscopy for remote detection of chemicals

Jianfeng Ye, Ziyang Tian, Yuxin Hu, Haoyun Wei, Yan Li, Yi Zhao, and Mingqiang Zou
Appl. Opt. 60(12) 3540-3548 (2021)

Remote Raman measurements of minerals, organics, and inorganics at 430  m range

Tayro E. Acosta-Maeda, Anupam K. Misra, Lloyd G. Muzangwa, Genesis Berlanga, Dalton Muchow, John Porter, and Shiv K. Sharma
Appl. Opt. 55(36) 10283-10289 (2016)

Multiplex coherent anti-Stokes Raman scattering spectroscopy for trace chemical detection

Sherrie B. Pilkington, Stephen D. Roberson, and Paul M. Pellegrino
Appl. Opt. 56(3) B159-B168 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.