UK small scale UVLIF lidar for standoff BW detection

Baxter, Karen L.; Castle, Michael J.; Barrington, Steve; Withers, P. B.; Foot, Virginia; Pickering, Andrew; Felton, Nicola

doi:10.1117/12.737730

Cited by 12 publications

(9 citation statements)

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“…Third, bioaerosol surveillance using LIF‐LiDAR requires the use of high‐energy pulsed excitation laser (Baxter et al ., 2007; Farsund et al ., 2012) and this raises genuine biosafety concerns, especially that a high‐energy laser could cause irreversible damage to the eyes (Sayed, 2014; Birtel et al ., 2017). Although some researchers have tried to reduce the high‐energy laser to eye‐safe energy level by enlarging the beam radius of the laser to 10 mm (Duschek et al ., 2017), biosafety is still not guaranteed.…”

Section: Challenges To Lif‐lidar Approach In Viral Surveillancementioning

confidence: 99%

Potential of laser‐induced fluorescence‐light detection and ranging for future stand‐off virus surveillance

Owoicho

Olwal

Quaye

2020

Microbial Biotechnology

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Viruses remain a significant public health concern worldwide. Recently, humanity has faced deadly viral infections, including Zika, Ebola and the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The threat is associated with the ability of the viruses to mutate frequently and adapt to different hosts. Thus, there is the need for robust detection and classification of emerging virus strains to ensure that humanity is prepared in terms of vaccine and drug developments. A point or stand-off biosensor that can detect and classify viruses from indoor and outdoor environments would be suited for viral surveillance. Light detection and ranging (LiDAR) is a facile and versatile tool that has been explored for stand-off detection in different environments including atmospheric, oceans and forest sensing. Notably, laser-induced fluorescence-light detection and ranging (LIF-LiDAR) has been used to identify MS2 bacteriophage on artificially contaminated surgical equipment or released amidst other primary biological aerosol particles in laboratory-like close chamber. It has also been shown to distinguish between different picornaviruses. Currently, the potentials of the LIF-LiDAR technology for real-time stand-off surveillance of pathogenic viruses in indoor and outdoor environments have not been assessed. Considering the increasing applications of LIF-LiDAR for potential microbial pathogens detection and classification, and the need for more robust tools for viral surveillance at safe distance, we critically evaluate the prospects and challenges of LIF-LiDAR technology for real-time stand-off detection and classification of potentially pathogenic viruses in various environments.

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Section: Challenges To Lif‐lidar Approach In Viral Surveillancementioning

confidence: 99%

Potential of laser‐induced fluorescence‐light detection and ranging for future stand‐off virus surveillance

Owoicho

Olwal

Quaye

2020

Microbial Biotechnology

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“…Also, the discrimination of biological agents can be achieved only from the LIF signal because the fluorescence cross-sections for particles 1-10 µ size range are sufficiently large to make single particle interrogation feasible. Currently, most prototype LIF LIDAR [21][22][23] use either 266 nm or 355 nm UV light; both these wavelengths being easily derived from an Nd:YAG laser, which has a small footprint, relatively low maintenance and is readily available as a commercial source. 266 nm UV excites fluorescence primarily from the tryptophan within the bacterial cell wall and tyrosine (also NADH and flavins found in abundance in growth medium) and 355 nm UV excites fluorescence primarily from NADH (and also flavins) but not tryptophan.…”

Section: Laser Induced Fluorescence Lidar Systemmentioning

confidence: 99%

LIDAR for Detection of Chemical and Biological Warfare Agents

Veerabuthiran¹,

Razdan²

2011

DSJ

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Remote detection of chemical and biological warfare agents and toxic gases in the atmosphere is of current interest to both the military and civilian agencies. Out of all currently available techniques, no single technique provides efficient detection against such threats at significant standoff distances. Light detection and ranging (LIDAR) technologies, based on the transmission of laser pulses and analysis of the return signals, have demonstrated impressive capabilities in remote detection of such toxic chemicals. LIDAR is a highly sensitive tool to detect the extremely low concentrations of various toxic agents present in the form of thin clouds at distances of few kilometer. The detection of these toxic clouds is based on the approach of first detecting and measuring the range of the clouds using the scattering phenomena and subsequently identifying the composition of toxic clouds using absorption and fluorescence phenomena. Laser Science and Technology Centre (LASTEC), Delhi has been working on the design and development of LIDAR systems for detection of chemical and biological warfare (CBW) agents. In this paper, theoretical analysis of differential absorption LIDAR (DIAL) for detection of chemical agents and fluorescence LIDAR for detection of biological agents has been discussed. For some typical parametric conditions, the received power levels from different ranges to detect specific concentrations of chemical or biological clouds have been computed and discussed. The technical details of the indigenously developed backscattering LIDAR, which detects and measures the distance of cloud layers up to 5 km is also presented.

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“…As a standoff signature, fluorescence has the complication that it is relatively small (when compared to backscatter) and lies within the solar band. The return signal can be either collected into a single detector using a broadband optical filter or dispersed spectrally into multiple detectors using (for example) a grating [73]. Spectral dispersion offers the possibility of additional discrimination between aerosol species in cases where there is adequate signal to interpret the resulting spectrum.…”

Section: Historical Approachesmentioning

confidence: 99%