Spectrally resolved laser-induced fluorescence for bioaerosols standoff detection

Buteau, Sylvie; Stadnyk, L L; Rowsell, Susan; Simard, Jean-Robert; Ho, Jim; Déry, Bernard; McFee, John E.

doi:10.1117/12.732389

Cited by 6 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 1999, Defence Research & Development Canada (DRDC) initiated a three-year program, named SINBAHD (Standoff Integrated Bioaerosol Active Hyperspectral Detection), to evaluate the potential of detecting bioaerosol from a stand-off position by UV-LIF LIDAR and range-gated spectrometric detection techniques [7] . Once a mathematical model was developed, an exploratory prototype was built by December 2000 [8] .…”

Section: Development Of Uv-lif Lidar For Detecting Bioaerosolmentioning

confidence: 99%

Simulation of ultraviolet laser-induced fluorescence LIDAR for detecting bioaerosol

et al. 2009

View full text Add to dashboard Cite

The biological warfare agent (BWA) is a kind of terrible threat during the war or raid from the terrorist. Last decade, the interest in utilizing ultraviolet laser-induced fluorescence (UV-LIF) LIDAR to detect the bioaerosol cloud has risen in order to measure the distribution of the bioaerosol particle. The UV-LIF LIDAR system can remotely detect and classify the bioaerosol agents and it is an active detecting system. As the infrared absorbing in the atmosphere is less, the range of infrared remote sensing is very far. The infrared laser at 1064 nm wavelength firstly begins to work in the UV-LIF LIDAR system and the aerosol cloud can be detected at very long range through the elastic backscattering signal from aerosol irradiated by infrared laser. But the category of aerosol can't be identified yet. If the infrared elastic backscattering level exceeds a threshold, UV laser at 355 nm wavelength will be triggered and induce the fluorescence.The excitated spectra of fluorescence can be used for discrimination of different aerosol species and particle concentration. This paper put forward for a UV-LIF LIDAR system model and the principle of the model is described summarily. Then the system parameters are presented and the simulation and analysis of the infrared elastic backscattering and laser-induced fluorescence are made, which is based on these parameters. Raman backscattering signal of Nitrogen gas in the atmosphere generally is taken to reduce measuring error, so the article also simulates this Raman backscatter signal at 387 nm wavelength. The studies above may provide some valuable instructions to the design of a real UV-LIF LIDAR system.

show abstract

Section: Development Of Uv-lif Lidar For Detecting Bioaerosolmentioning

confidence: 99%

Simulation of ultraviolet laser-induced fluorescence LIDAR for detecting bioaerosol

et al. 2009

View full text Add to dashboard Cite

show abstract

“…The Swedish Defence Research Agency (FOI) developed a light detection and ranging (LIDAR) UV-LIF system for standoff aerosol detection, which has been field-tested for the classification of different biological particles and interferants [14]. The LIDAR technique has also been used by others, for example, research groups from Italy [15], India [16] and Canada [17,18]. The Canadian SINBAHD system has gone through several field tests concerning the recording of spectral signatures of different bacteria, toxins and virus simulants under cross-wind conditions at standoff distances up to the kilometer range.…”

Section: Introductionmentioning

confidence: 99%

Standoff detection and classification of bacteria by multispectral laser-induced fluorescence

Duschek

Fellner

Gebert

et al. 2017

Advanced Optical Technologies

View full text Add to dashboard Cite

Abstract:Biological hazardous substances such as certain fungi and bacteria represent a high risk for the broad public if fallen into wrong hands. Incidents based on bio-agents are commonly considered to have unpredictable and complex consequences for first responders and people. The impact of such an event can be minimized by an early and fast detection of hazards. The presented approach is based on optical standoff detection applying laser-induced fluorescence (LIF) on bacteria. The LIF bio-detector has been designed for outdoor operation at standoff distances from 20 m up to more than 100 m. The detector acquires LIF spectral data for two different excitation wavelengths (280 and 355 nm) which can be used to classify suspicious samples. A correlation analysis and spectral classification by a decision tree is used to discriminate between the measured samples. In order to demonstrate the capabilities of the system, suspensions of the low-risk and non-pathogenic bacteria Bacillus thuringiensis, Bacillus atrophaeus, Bacillus subtilis, Brevibacillus brevis, Micrococcus luteus, Oligella urethralis, Paenibacillus polymyxa and Escherichia coli (K12) have been investigated with the system, resulting in a discrimination accuracy of about 90%.

show abstract

Online Techniques for Quantification and Characterization of Biological Aerosols

Huffman

Santarpia

2017

Microbiology of Aerosols

View full text Add to dashboard Cite

Spectrally resolved laser-induced fluorescence for bioaerosols standoff detection

Cited by 6 publications

References 0 publications

Simulation of ultraviolet laser-induced fluorescence LIDAR for detecting bioaerosol

Simulation of ultraviolet laser-induced fluorescence LIDAR for detecting bioaerosol

Standoff detection and classification of bacteria by multispectral laser-induced fluorescence

Online Techniques for Quantification and Characterization of Biological Aerosols

Contact Info

Product

Resources

About