TY - GEN
T1 - Multi-parameter RF based Characterization of Nanoparticles and Biomolecules
AU - Mazumder, Annesha
AU - Azeemuddin, Syed
AU - Sau, Tapan K.
AU - Bhimalapuram, Prabhakar
AU - Biswas, Arunangshu
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this work, we explore the use of Radio frequency (RF) based sensing in uniquely identifying nanoparticles and biosamples by utilizing multi-parameter characterization. Most conventional RF sensors suffer from an inability to perform proper identification due to the dependence of the methodology on a single parameter variation. This paper combats this drawback by proposing a technique that extracts multiple parameters from the frequency response of a narrow band, IDC based RF sensor for performing the analysis. Furthermore, to illustrate the method, the identification is performed for different samples, including Biotin, BSA-conjugated Biotin, Gold Nanorods and Silica-coated Goldnanospheres. The results indicate that multi-parameter characterization yields unique spectral signatures for all samples, and thus identification can efficiently be performed.
AB - In this work, we explore the use of Radio frequency (RF) based sensing in uniquely identifying nanoparticles and biosamples by utilizing multi-parameter characterization. Most conventional RF sensors suffer from an inability to perform proper identification due to the dependence of the methodology on a single parameter variation. This paper combats this drawback by proposing a technique that extracts multiple parameters from the frequency response of a narrow band, IDC based RF sensor for performing the analysis. Furthermore, to illustrate the method, the identification is performed for different samples, including Biotin, BSA-conjugated Biotin, Gold Nanorods and Silica-coated Goldnanospheres. The results indicate that multi-parameter characterization yields unique spectral signatures for all samples, and thus identification can efficiently be performed.
UR - http://www.scopus.com/inward/record.url?scp=85142922396&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142922396&partnerID=8YFLogxK
U2 - 10.1109/NANO54668.2022.9928625
DO - 10.1109/NANO54668.2022.9928625
M3 - Conference contribution
AN - SCOPUS:85142922396
T3 - Proceedings of the IEEE Conference on Nanotechnology
SP - 157
EP - 160
BT - 2022 IEEE 22nd International Conference on Nanotechnology, NANO 2022
PB - IEEE Computer Society
T2 - 22nd IEEE International Conference on Nanotechnology, NANO 2022
Y2 - 4 July 2022 through 8 July 2022
ER -