Invention Grant
- Patent Title: Apparatus for monitoring bioaerosols using machine learning and method thereof
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Application No.: US17182731Application Date: 2021-02-23
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Publication No.: US11953419B2Publication Date: 2024-04-09
- Inventor: Jung Ho Hwang , Sang Gwon An , Hyeong Rae Kim
- Applicant: INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY
- Applicant Address: KR Seoul
- Assignee: INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY
- Current Assignee: INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY
- Current Assignee Address: KR Seoul
- Agency: Sughrue Mion, PLLC
- Main IPC: G01N15/1404
- IPC: G01N15/1404 ; B01D47/00 ; B03C3/41 ; B03C3/47 ; C12Q1/04 ; G01N30/72 ; G06N20/00 ; G01N15/14

Abstract:
Disclosed is an apparatus for monitoring bioaerosols, including a capturer configured to capture bioaerosol particles in air in a capture solution; a particle sprayer configured to electro-spray the capture solution in a form of droplets such that the particles are included in at least some of the sprayed droplets; and an analyzer configured to analyze the particles, sprayed through the particle sprayer, by machine learning. In accordance with such a configuration, the droplets containing a certain amount of the particles can be continuously analyzed in real time by machine learning, thereby contributing to the improvement of monitoring efficiency for a specific bioaerosol genus.
Public/Granted literature
- US20220268686A1 APPARATUS FOR MONITORING BIOAEROSOLS USING MACHINE LEARNING AND METHOD THEREOF Public/Granted day:2022-08-25
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