Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Intracavity Laser Spectral Analysis of Trace Elements in Environmental Samples

Not Accessible

Your library or personal account may give you access

Abstract

Laser spectroscopic techniques have significantly enhanced the performance of atomic spectrometry [1,2]. Despite the impressive detection power of laser methods, they are as a rule still far from being practically applied in routine analyses especially of complex natural samples of environmental interest. The main reason for this situation hitherto remains the comparatively higher complexity and cost of tunable lasers and their power supplies excluding low-power semiconductor laser diodes, that have excelent potential spectroscopic and operational properties for spectral analysis [3]. Of course, these laser sources of radiation at present also have some specific disadvantages, that restrains their wide practical application. On the other hand, the common tunable dye laser-based instruments can compete with established analytical techniques and have a chance to be routinely used for the direct elemental analysis espesially at trace levels or for solving some narrowly specific problems.

© 1998 Optical Society of America

PDF Article
More Like This
Trace Element Analysis of Cast Uranium Metal Using Laser-Induced Breakdown Spectroscopy

James Young, Iain M Botheroyd, and Andrew I Whitehouse
CWF84 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 1998

Laser-Enhanced Ionization Spectrometry as an Ultra-Sensitive Method for Trace Element Analysis

O. Axner and H. Rubinsztein-Dunlop
TuA3 Laser Applications to Chemical Analysis (LACSEA) 1987

Laser-Enhanced Ionization Spectroscopy and its Applications for Trace Element Analysis.

Halina Rubinsztein-Dunlop
TuA5 Laser Applications to Chemical Analysis (LACSEA) 1990

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.