Work Description

Title: Dataset for Fluorescence Measurements of MS2 Aerosol with Wideband Integrated Bioaerosol Sensor Open Access Deposited

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Methodology
  • The raw data is extracted from the collected aerosol data on Wideband Integrated Bioaerosol Sensor (WIBS). WIBS-measured data for individual particles, stored as .h5 file (not present in this dataset due to the sheer amount), serves as the input for the data analysis on Excel and Igor Pro, as it is summarized into different .xsl and .pxp files for data analysis. Data analyses consist of data filtering (eliminating the zero/null values), data grouping (categorize particle data based on their type/size/fluorescence channels), and data visualization (plotting/labeling).
Description
  • Related research overview: Airborne transmission of infectious diseases poses a great threat to public health and the global economy, making the disinfection of airborne pathogens a priority. Detection of airborne pathogens, particularly their infectivity and changes thereof, can be challenging and labor-intensive. Laser-induced fluorescence (LIF) has been used to detect and characterize aerosols of biological origin. In this study, the fluorescence of MS2 bacteriophage aerosol is studied using aWideband Integrated Bioaerosol Sensor (WIBS). Infectivity assays and fluorescence measurements of viral aerosols are taken before and after non-thermal plasma (NTP) treatment. It is found that NTP treatment induces 1) infectivity loss for MS2 aerosol, 2) a change in aerosol fluorescence, and 3) viral protein damage. Increasing NTP applied voltage and power is positively correlated with infectivity loss and reduction in mean viral aerosol fluorescence intensity. The findings in this study suggest fast detection of airborne virus infectivity and protein damage is possible via aerosol fluorescence methods.

  • Description of files in the dataset: 20240716 repaired WIBS MS2 - size.xlsx - this file contains the particle fluorescence and size data for aerosolized viruses 20240729 PBSbuffer size&fluor.xlsx - this file contains the particle fluorescence and size data for the buffer (i.e. control) 20240812 repairedWIBS diffVoltage.pxp - this file contains the virus particle fluorescence data when exposed to plasmas of different voltages. This file also contains the instrument background fluorescence data measurements.
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Last modified
  • 02/04/2025
Published
  • 02/04/2025
DOI
  • https://doi.org/10.7302/tey0-ps17
License
To Cite this Work:
Ma, Z. (2025). Dataset for Fluorescence Measurements of MS2 Aerosol with Wideband Integrated Bioaerosol Sensor [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/tey0-ps17

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Files (Count: 4; Size: 318 MB)

Date: 30 January, 2025

Dataset Title: Fluorescence Measurements of MS2 Aerosol with Wideband Integrated Bioaerosol Sensor

Dataset Contact: Zhenyu Ma [email protected]

Dataset Creators:
Name: Zhenyu Ma
Email: [email protected]
Institution: University of Michigan Department of Civil and Environmental Engineering
ORCID: https://orcid.org/0009-0006-3403-5684

Funding: n/a

Key Points:
- Fluorescence data is taken for each detected particle of aerosolized MS2 viruses
- The dataset contains single particle fluorescence measurements, the code for generating the overall distribution plot of fluorescence, and the final plot.

Research Overview:
Airborne transmission of infectious diseases poses a great threat to public health and the global economy, making the disinfection of airborne pathogens a priority. Detection of airborne pathogens, particularly their infectivity and changes thereof, can be challenging and labor-intensive. Laser-induced fluorescence (LIF) has been used to detect and characterize aerosols of biological origin. In this study, the fluorescence of MS2 bacteriophage aerosol is studied using aWideband Integrated Bioaerosol Sensor (WIBS). Infectivity assays and fluorescence measurements of viral aerosols are taken before and after non-thermal plasma (NTP) treatment. It is found that NTP treatment induces 1) infectivity loss for MS2 aerosol, 2) a change in aerosol fluorescence, and 3) viral protein damage. Increasing NTP applied voltage and power is positively correlated with infectivity loss and reduction in mean viral aerosol fluorescence intensity. The findings in this study suggest fast detection of airborne virus infectivity and protein damage is possible via aerosol fluorescence methods.

Methodology:
The raw data is extracted from the collected aerosol data on Wideband Integrated Bioaerosol Sensor (WIBS). WIBS-measured data for individual particles, stored as .h5 file (not present in this dataset due to the sheer amount), serves as the input for the data analysis on Excel and Igor Pro, as it is summarized into different .xsl and .pxp files for data analysis. Data analyses consist of data filtering (eliminating the zero/null values), data grouping (categorize particle data based on their type/size/fluorescence channels), and data visualization (plotting/labeling).

Instrument and/or Software specifications: Particle data is extracted from Wideband Integrated Bioaerosol Sensor. The .pxp file requires data analytical software (e.x. Igor Pro) to open.

Files contained here:
20240716 repaired WIBS MS2 - size.xlsx - this file contains the particle fluorescence and size data for aerosolized viruses
20240729 PBSbuffer size&fluor.xlsx - this file contains the particle fluorescence and size data for the buffer (i.e. control)
20240812 repairedWIBS diffVoltage.pxp - this file contains the virus particle fluorescence data when exposed to plasmas of different voltages. This file also contains the instrument background fluorescence data measurements.

Related publication(s):
Ma, Z. and H. Clack (2025). Using Viral Aerosol Fluorescence for Detection of Virus Damage Induced by Non-thermal Plasma.

Use and Access:
This data set is made available under a Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0).

To Cite Data:
Ma, Z. Dataset for Fluorescence Measurements of MS2 Aerosol with Wideband Integrated Bioaerosol Sensor [Data set], University of Michigan - Deep Blue Data.
https://doi.org/10.7302/tey0-ps17

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