TY - GEN
T1 - Virus detection by monitoring its radio frequency response versus temperature
AU - Ahmad, Mahmoud Al
AU - Rizvi, Tahir A.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/3
Y1 - 2016/11/3
N2 - The use of radio frequency techniques is increasing in various applications in biodetection as well diagnostic and therapeutic medicine. This work reports for radio frequency labelfree based systematic biodetection platform; which can be used to identify several types of viruses. The presented technique is able to identify the virus type with few minutes without the use of any biomarkers. A coaxial waveguide structure is used to host the specimen enabling its measurements. Four different types of virus-mixture samples have been prepared and are involved in this study: HIV, FIV, MMTV and MPMV. Then microwave measurements have been conducted using these mixtures at different temperatures, 7°C, 37°C and 47°C, respectively. The frequency-temperature behaviour reveals the possibility to identify the kind of the virus. The change in S11 parameter level is due to the associated intrinsic °C differential resistance of the virus itself. Hence the virus is modeled as a smart material that exhibits certain loss or gain dispersion over frequency.
AB - The use of radio frequency techniques is increasing in various applications in biodetection as well diagnostic and therapeutic medicine. This work reports for radio frequency labelfree based systematic biodetection platform; which can be used to identify several types of viruses. The presented technique is able to identify the virus type with few minutes without the use of any biomarkers. A coaxial waveguide structure is used to host the specimen enabling its measurements. Four different types of virus-mixture samples have been prepared and are involved in this study: HIV, FIV, MMTV and MPMV. Then microwave measurements have been conducted using these mixtures at different temperatures, 7°C, 37°C and 47°C, respectively. The frequency-temperature behaviour reveals the possibility to identify the kind of the virus. The change in S11 parameter level is due to the associated intrinsic °C differential resistance of the virus itself. Hence the virus is modeled as a smart material that exhibits certain loss or gain dispersion over frequency.
UR - https://www.scopus.com/pages/publications/85006713310
UR - https://www.scopus.com/pages/publications/85006713310#tab=citedBy
U2 - 10.1109/PIERS.2016.7735715
DO - 10.1109/PIERS.2016.7735715
M3 - Conference contribution
AN - SCOPUS:85006713310
T3 - 2016 Progress In Electromagnetics Research Symposium, PIERS 2016 - Proceedings
SP - 4649
EP - 4655
BT - 2016 Progress In Electromagnetics Research Symposium, PIERS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 Progress In Electromagnetics Research Symposium, PIERS 2016
Y2 - 8 August 2016 through 11 August 2016
ER -
