Outdoor environmental sensitivity test for the detection of biological aerosols

Seo, Hyunsoo; Choi, Kibong; Park, Jinho

doi:10.1080/10739149.2021.1929309

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…Because the particles in biological weapons are approximately 1-10 µm in diameter, the blocking threshold for the particle size was set within the corresponding range. That threshold was determined experimentally in a previous study, and adjustments were made to set the diameters of small, medium, and large particles at 0.84-2 µm, 2-5 µm, and 5-11 µm, respectively [12].…”

Section: Optics Designmentioning

confidence: 99%

“…A total of five variables were changed, and the developing yeast particles sequentially increased to 20 ACPLA, 38 ACPLA, 63 ACPLA, 83 ACPLA, 126 ACPLA, 167 ACPLA, and 289 ACPLA. The variables were trained using MATLAB software with the same background used in a previous study [12]. The main findings from the parameter optimization are described below:…”

Section: Optimizing the Sensitivity Of The Biological Particle Detectormentioning

confidence: 99%

“…The use of a fluorometer may also be considered, but a disadvantage exists in that it is impossible to distinguish the size of particles produced in the 2-10 µm range, which causes significant damage with a biological weapon in real-time [9]. Therefore, a biological particle detection technology enabling real-time measurement and size classification, and an environmentally adaptive detection algorithm have been developed [10][11][12]. In this study, we intended to improve the laser-induced fluorescence (LIF)-based biological particle detection technology that was developed in a previous study to ensure its application without false detection in various environments.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing the Sensitivity of Biological Particle Detectors through Atmospheric Particle Analysis According to Climatic Characteristics in South Korea

Seo

Choi

Jeong

2022

Sensors

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Biological agents used in biological warfare or bioterrorism are also present in bioaerosols. Prompt identification of a biological weapon and its characteristics is necessary. Herein, we optimized an environmentally adaptive detection algorithm that can better reflect changes in the complex South Korean environment than the current models. The algorithm distinguished between normal and biological particles using a laser-induced fluorescence-based biological particle detector capable of real-time measurements and size classification. We ensured that the algorithm operated with minimal false alarms in any environment by training based on experimental data acquired from an area where rainfall, snow, fog and mist, Asian dust, and water waves on the beach occur. To prevent time and money wastage due to false alarms, the detection performance for each level of sensitivity was examined to enable the selection of multiple sensitivities according to the background, and the appropriate level of sensitivity for the climate was determined. The basic sensitivity was set more conservatively than before, with a 3% alarm rate at 20 agent-containing particles per liter of air (ACPLA) and a 100% alarm rate at 63 ACPLA. The reliability was increased by optimizing five variables. False alarms did not occur in situations where no alarm was unnecessary.

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Section: Optics Designmentioning

confidence: 99%

Section: Optimizing the Sensitivity Of The Biological Particle Detectormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimizing the Sensitivity of Biological Particle Detectors through Atmospheric Particle Analysis According to Climatic Characteristics in South Korea

Seo

Choi

Jeong

2022

Sensors

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“…This particle size classification was determined by taking a common logarithm of the data to ensure normality, ranging from 1 µm to 10 µm. Using the common logarithm, the median value is 3 µm, and 2-10 µm is considered the size range for the intermediate particles, with a median value of 3 µm [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Detection of Micrometer-Sized Virus Aerosols by Using a Real-Time Bioaerosol Monitoring System

Seo,

Jeong,

Bae

et al. 2024

Biosensors

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This study investigates a real-time handheld bioaerosol monitoring system for the detection of biological particles using UV-LED and light-induced fluorescence technology. Biological particles produce both scattering and fluorescence signals simultaneously, which can help distinguish them from general particles. The detected scattering, fluorescence, and simultaneous signals are then converted into photon signals and categorized based on predetermined criteria. A reliable biological particle generator was required to validate the performance of the system. This study explores the use of an M13 bacteriophage as a virus simulant of biological agents and employs a customized inkjet aerosol generator to produce M13 bacteriophage aerosols of a specific size by controlling the concentration of M13. We confirmed that micro-sized, narrowly dispersed M13 aerosols were efficiently generated. Additionally, we confirmed the performance of this real-time handheld bioaerosol monitoring system by detecting viruses.

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Outdoor environmental sensitivity test for the detection of biological aerosols

Cited by 2 publications

References 11 publications

Optimizing the Sensitivity of Biological Particle Detectors through Atmospheric Particle Analysis According to Climatic Characteristics in South Korea

Optimizing the Sensitivity of Biological Particle Detectors through Atmospheric Particle Analysis According to Climatic Characteristics in South Korea

Detection of Micrometer-Sized Virus Aerosols by Using a Real-Time Bioaerosol Monitoring System

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