Encyclopedia of Analytical Chemistry 2000
DOI: 10.1002/9780470027318.a0832
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Infrared Spectroscopy in Environmental Analysis

Abstract: Infrared (IR) spectroscopy is a universal, versatile analytical technique for the structure elucidation and quantification of a large variety of organic, inorganic and biological samples. The technique is based on the measurement of IR radiation, absorbed or emitted by a sample, as a function of the wavelength in the region 2.5–100 µm, or 4000–100 cm −1 in wavenumbers. The absorption or emission of IR radiation is related to discrete vibrational and rotational transitions in a molecule … Show more

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Cited by 8 publications
(7 citation statements)
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“…The growing importance of SERS in the analysis of HS has recently been highlighted in several reviews dealing with techniques applied to the analysis of HS [26][27][28]. SERS has also been used to examine pesticide-HA interaction [29].…”
Section: Introductionmentioning
confidence: 99%
“…The growing importance of SERS in the analysis of HS has recently been highlighted in several reviews dealing with techniques applied to the analysis of HS [26][27][28]. SERS has also been used to examine pesticide-HA interaction [29].…”
Section: Introductionmentioning
confidence: 99%
“…Infrared (IR) spectroscopy is an established tool for material analysis, and it is widely adopted by a number of industries 1 2 3 4 5 6 . Historically, IR spectroscopy started with direct transmission techniques, which were later superseded by Fourier Transform IR (FTIR) spectroscopy 7 .…”
mentioning
confidence: 99%
“…The radiance signal due to the plume is modulated by those of the atmosphere and background before arriving at the sensor, as demonstrated by (2). To extract the plume signal, both of these effects must be suppressed, which is one of the central problems of the remote sensing of chemical plumes, as we discuss in the sections "Background Clutter" and "Detection Algorithms."…”
Section: Atmospheric Compensation and Temperature-emissivity Separationmentioning
confidence: 99%
“…This approach is in principle quite general, as it can be applied to the full radiance model (2). Still, special cases can lead to simplifications and improved performance of the algorithms.…”
Section: Algorithmsmentioning
confidence: 99%