US 11,953,419 B2
Apparatus for monitoring bioaerosols using machine learning and method thereof
Jung Ho Hwang, Seoul (KR); Sang Gwon An, Uijeongbu-si (KR); and Hyeong Rae Kim, Seoul (KR)
Assigned to INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY, Seoul (KR)
Filed by INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY, Seoul (KR)
Filed on Feb. 23, 2021, as Appl. No. 17/182,731.
Prior Publication US 2022/0268686 A1, Aug. 25, 2022
Int. Cl. G01N 15/1404 (2024.01); B01D 47/00 (2006.01); B03C 3/41 (2006.01); B03C 3/47 (2006.01); C12Q 1/04 (2006.01); G01N 30/72 (2006.01); G06N 20/00 (2019.01); G01N 15/14 (2006.01)
CPC G01N 15/1404 (2013.01) [B01D 47/00 (2013.01); B03C 3/41 (2013.01); B03C 3/47 (2013.01); C12Q 1/04 (2013.01); G01N 30/7266 (2013.01); G06N 20/00 (2019.01); G01N 2015/1481 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An apparatus for monitoring bioaerosols, comprising:
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 comprised in a certain amount in at least some of the droplets; and
an analyzer configured to analyze the particles, sprayed through the particle sprayer, by machine learning.