2017
DOI: 10.1515/aot-2016-0066
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Standoff detection and classification of bacteria by multispectral laser-induced fluorescence

Abstract: 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… Show more

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Cited by 24 publications
(23 citation statements)
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References 27 publications
(30 reference statements)
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“…Moreover, fine particles can help transport a significant number of biological particles, pollens, and microorganisms like fungi and bacteria. 9,10 The quantum efficiency (QE) of fluorescence varies depending on the excitation light source. [1][2][3] Many countries are developing sensor systems that can be used for real-time detection of hazardous airborne particles, including biological particles.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, fine particles can help transport a significant number of biological particles, pollens, and microorganisms like fungi and bacteria. 9,10 The quantum efficiency (QE) of fluorescence varies depending on the excitation light source. [1][2][3] Many countries are developing sensor systems that can be used for real-time detection of hazardous airborne particles, including biological particles.…”
Section: Introductionmentioning
confidence: 99%
“…One of the most widely used techniques for standoff detection of biological and chemical samples is laser-induced fluorescence (LIF) spectroscopy, since it provides high signal strength and thereby fast detection times on the order of seconds to minutes and long detection ranges up to a kilometer [5][6][7][8][9]. For aerosol samples, LIF spectroscopy is often combined with light detection and ranging (LIDAR) by making use of photon arrival time measurements [3,7,9].…”
Section: Introductionmentioning
confidence: 99%
“…For spectrally resolved LIF the rather broad spectral features of the specimens of interest allow for a downscaling of the spectroscopic resolution from 1024 spectral channels in ref. [5] to 32 spectral channels with no reduction of the classification performance as presented in ref. [11].…”
Section: Introductionmentioning
confidence: 99%
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