TY - JOUR
T1 - Solvent-Based Optimization of CSRR and IDC RF Bio-Sensors
AU - Wadhwani, Kunal
AU - Hussaini, Sheena
AU - Mazumder, Annesha
AU - Syed, Azeemuddin
N1 - Publisher Copyright:
© 2001-2012 IEEE.
PY - 2022/3/15
Y1 - 2022/3/15
N2 - Complementary Split Ring Resonators (CSRR) and Inter-Digitated Capacitors (IDC) based RF sensors have been ubiquitously optimized assuming empty cavities. However, in bio-sensing applications, most of the samples are dissolved in respective solvents. As a result, designing sensors based on specific solvent-filled cavities is the optimal approach for future RF bio-sensors. This paper presents the application of Binary Particle Swarm Optimization (BPSO) technique for maximizing the sensitivity of CSRR and IDC sensors. BPSO optimizes the designs by cell patterning the sensing region in the presence of phosphate buffer as a solvent. An enhancement of 47.38\times for the CSRR and 2.03\times for the IDC in the detection of L-Lysine at frequencies 2.18 GHz and 0.72 GHz respectively has been achieved, when compared to sensitivities of their traditional counterparts. Promising results have also been observed in the detection of sucrose and glucose, making it a suitable contender for optimization of next-generation RF bio-sensors.
AB - Complementary Split Ring Resonators (CSRR) and Inter-Digitated Capacitors (IDC) based RF sensors have been ubiquitously optimized assuming empty cavities. However, in bio-sensing applications, most of the samples are dissolved in respective solvents. As a result, designing sensors based on specific solvent-filled cavities is the optimal approach for future RF bio-sensors. This paper presents the application of Binary Particle Swarm Optimization (BPSO) technique for maximizing the sensitivity of CSRR and IDC sensors. BPSO optimizes the designs by cell patterning the sensing region in the presence of phosphate buffer as a solvent. An enhancement of 47.38\times for the CSRR and 2.03\times for the IDC in the detection of L-Lysine at frequencies 2.18 GHz and 0.72 GHz respectively has been achieved, when compared to sensitivities of their traditional counterparts. Promising results have also been observed in the detection of sucrose and glucose, making it a suitable contender for optimization of next-generation RF bio-sensors.
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U2 - 10.1109/JSEN.2022.3148349
DO - 10.1109/JSEN.2022.3148349
M3 - Article
AN - SCOPUS:85124193139
SN - 1530-437X
VL - 22
SP - 5651
EP - 5661
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 6
ER -