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Development of Interdigitated Capacitive Sensor for Real-Time Monitoring of Sub-Micron and Nanoscale Particulate Matters in Personal Sampling Device for Mining Environment



Details

  • Personal Author:
  • Description:
    While current personal monitoring devices for mining industry are optimized for monitoring microscale particles, a higher resolution technique is required to detect sub-micron and nanoscale particulate matters (PM) due to smaller volume and mass of the particles. In this work, an interdigitated capacitive sensor is designed for monitoring sub-micron and nanoscale particle concentration in real-time for mining environment and other applicable environments. The 2 mm ×12 mm disposable sensor chip fits generic air sampling cassette housing. The re-usable readout board uses resistance-capacitance (RC) delay time constant for monitoring capacitance shift and data is recorded in real-time. The sensor showed clear response with respect to a commonly used test dust, and positive capacitance shift is observed after test. Among the collected particles, about 77 % are sub-micron and most of microparticles are agglomerates of sub-micron particles. A simulation study showed that our sensor response is in a region that is proportional to the particle volume collected on sensor. A comparison with gravimetric method showed that less than 1/1000 of collected particle mass on the sampler is responsible for sensor response due to radial distribution of particle deposition and sensor location. The sensor response is converted into a standard airborne mass particle concentration gm 3 to demonstrate a continuous monitoring of particle concentration. An incorporated microheater improved stable capacitive sensor reading under air flow and various humidity. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    1530-437X
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Volume:
    20
  • Issue:
    19
  • NIOSHTIC Number:
    nn:20068286
  • Citation:
    IEEE Sens J 2020 Oct; 20(19):11588-11597
  • Contact Point Address:
    Candace Su-Jung Tsai, Department of Environmental and Radiological Health Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523 USA
  • Email:
    candace.tsai@colostate.edu
  • Federal Fiscal Year:
    2021
  • Performing Organization:
    University of California Los Angeles
  • Peer Reviewed:
    True
  • Start Date:
    20050701
  • Source Full Name:
    IEEE Sensors Journal
  • End Date:
    20270630
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:d7d82fde77b8dbc8fb78905e627b136b4fef22558833b078fa8ca2b443bc8f56fce0ad6bf1db01dc9755f6a80c9789fe6404ff3ac7acc4bb573776a3e7b58373
  • Download URL:
  • File Type:
    Filetype[PDF - 2.81 MB ]
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