Application of resonance Raman LIDAR for chemical species identification

L, Chen, C; Heglund, D L; Ray, M D; Harder, D; Dobert, R; Leung, K P; Wu, M; Sedlacek, A

doi:10.2172/495732

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…This permits analysis of trace components even in a liquid state system, with particularly high impact on biological systems since many biological molecules are known to become rigid when desiccated. It also provides a scheme for remote detection of trace species [9][10][11][12], and enables nano-spectroscopic imaging [13,14] as a routine analysis.…”

Section: Introductionmentioning

confidence: 99%

Resonance enhanced Raman scatter in liquid benzene at vapor-phase absorption peaks

Willitsford¹,

Chadwick²,

Hallén³

et al. 2013

Opt. Express

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The resonance enhanced Raman spectra in the 1B2u mode of the forbidden benzene electronic transition band, ~230-270 nm, has been investigated. Resonance enhanced Raman scattering in both liquid benzene and liquid toluene exhibit the greatest enhancement when the wavelength of excitation is tuned to the vapor-phase absorption peaks; even though the sample volume is in a liquid state. Raman signals for the symmetric breathing mode of the carbon ring are found to be resonantly enhanced by several orders of magnitude (>500X) with deep UV excitation compared to non-resonant visible excitation. Since the benzene absorbs near this resonant wavelength, its effect on the sampled volume cannot be neglected in determining the resonance gain, as we discuss in detail. Large resonant gains correspond with excitation at the 247, 253, and 259 nm absorption peaks in the benzene vapor spectrum. The narrow region of resonance gain is investigated in detail around the absorption peak located at 259 nm using 0.25 nm steps in the excitation wavelength. We observe the resonance gain tracking the vapor phase absorption peaks and valleys within this narrow range. Results are interpreted in terms of the coherence forced by the use of a forbidden transition for resonance excitation.

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Section: Introductionmentioning

confidence: 99%

Resonance enhanced Raman scatter in liquid benzene at vapor-phase absorption peaks

Willitsford¹,

Chadwick²,

Hallén³

et al. 2013

Opt. Express

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“…Therefore, the characteristic information of the material can be analyzed by collecting Raman spectrum lines. Over recent years, Raman spectroscopy technology has continued to be developed, and researchers have combined Raman spectroscopy technology with a variety of other technologies to make detection technologies more effective, such as confocal Raman microscopy [ 96 ], Raman imaging technology [ 97 , 98 ], resonance Raman technology [ 99 ], surface-enhanced Raman spectroscopy (SERS) technology [ 100 ], and so forth. Raman spectroscopy technology is widely used in the fields of medicine [ 101 ], pharmaceuticals [ 102 , 103 , 104 ], cosmetics [ 105 , 106 ], carbon materials [ 107 , 108 ], geology [ 109 , 110 ], and life sciences because of its ability to rapidly analyze chemical structures in a nondestructive manner and its powerful imaging functions.…”

Section: Raman Spectroscopymentioning

confidence: 99%

Vibrational Spectroscopy in Assessment of Early Osteoarthritis—A Narrative Review

Chen

Zhao

et al. 2021

IJMS

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Osteoarthritis (OA) is a degenerative disease, and there is currently no effective medicine to cure it. Early prevention and treatment can effectively reduce the pain of OA patients and save costs. Therefore, it is necessary to diagnose OA at an early stage. There are various diagnostic methods for OA, but the methods applied to early diagnosis are limited. Ordinary optical diagnosis is confined to the surface, while laboratory tests, such as rheumatoid factor inspection and physical arthritis checks, are too trivial or time-consuming. Evidently, there is an urgent need to develop a rapid nondestructive detection method for the early diagnosis of OA. Vibrational spectroscopy is a rapid and nondestructive technique that has attracted much attention. In this review, near-infrared (NIR), infrared, (IR) and Raman spectroscopy were introduced to show their potential in early OA diagnosis. The basic principles were discussed first, and then the research progress to date was discussed, as well as its limitations and the direction of development. Finally, all methods were compared, and vibrational spectroscopy was demonstrated that it could be used as a promising tool for early OA diagnosis. This review provides theoretical support for the application and development of vibrational spectroscopy technology in OA diagnosis, providing a new strategy for the nondestructive and rapid diagnosis of arthritis and promoting the development and clinical application of a component-based molecular spectrum detection technology.

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“…The collected spectral fluorescence, dE/cD, will be composed of the bioaerosol fluorescence and the background signal described by equation 3: dE dE1 dE -=-+-. (8) d2 dA#ba d2b…”

Section: Practical Considerationsmentioning

confidence: 99%

Active range-gated spectrometric standoff detection and characterization of bioaerosols

Simard¹,

Mathieu²,

Larochelle³

et al. 1999

SPIE Proceedings

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In atmospheric sensing, one application that has demonstrated several impressive successes over the last two decades is LIght Detection And Ranging (LIDAR). With elastic signal returns, this technique remotely provides information such as the particle density and, for a multiple field of view LIDAR, the distribution in size of the aerosols as a function of the range along the probing laser beam. For this type of application, the return signal has the same spectrum than the laser source. Some specific techniques, such as Raman or resonant LIDARS, collect the return signal at wavelengths other than the source. However, these signals are usually narrow spectrally and are collected with a single bandpass spectral filter. Recently, the Canadian Defence Research and Development Branch has initiated the evaluation of a novel LIDAR concept which opens the possibility of collecting simultaneously the detailed spectral information contained in spectrally wide return signals. One drawback with this approach is the loss of simultaneous information at multiple ranges, i.e., the spectral information is available only for a specific range. Nevertheless, there are applications where the partial loss of range information is compensated by the gain resulting from the spectral information. This paper describes the concept and reviews the general model predicting the capability ofthis technique for the standoff detection of bioaerosols. It shows a numerical simulation of the anticipated spectral profiles collected with the proposed active range-gated fluorescent LIDAR for a particular bioaerosol as a function of ranges, and for both day and night operational scenarios.

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Application of resonance Raman LIDAR for chemical species identification

Cited by 5 publications

References 1 publication

Resonance enhanced Raman scatter in liquid benzene at vapor-phase absorption peaks

Resonance enhanced Raman scatter in liquid benzene at vapor-phase absorption peaks

Vibrational Spectroscopy in Assessment of Early Osteoarthritis—A Narrative Review

Active range-gated spectrometric standoff detection and characterization of bioaerosols

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