TY - GEN
T1 - Modeling of Synthetic Biology-Based Plant Sensors
AU - Shacham-Diamand, Yosi
AU - Jog, Aakash
AU - Avni, Adi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Synthetic biology-based plant sensors detect plant responses to either biotic or abiotic stress. The sensing can be due to the response of a promoter gene activating a reporter gene, expressing a protein that activates - directly or indirectly - a signal output mechanism. The promoter-reporter operation can be a single-stage response or a multiple-stage one, where, for example, the expressed protein of the first stage activates another promoter gene. The output signal can be optical, electrical, or electrochemical. The sensor can be a multiple-input/multiple-output device and include control elements, such as a genetic optical switch, or feedback mechanisms for reducing background noise and improving signal-to-noise ratio. Next is the transducer, converting the biological signal to an electrical signal for further signal processing, analog to digital conversion, storage, and network communication. The modeling of each of the stages: whole-cell sensing, protein expression and signal transduction, and CMOS interfacing, is presented, and a unified approach is proposed allowing for complete system modeling using Verilog-A hardware description language (HDL).
AB - Synthetic biology-based plant sensors detect plant responses to either biotic or abiotic stress. The sensing can be due to the response of a promoter gene activating a reporter gene, expressing a protein that activates - directly or indirectly - a signal output mechanism. The promoter-reporter operation can be a single-stage response or a multiple-stage one, where, for example, the expressed protein of the first stage activates another promoter gene. The output signal can be optical, electrical, or electrochemical. The sensor can be a multiple-input/multiple-output device and include control elements, such as a genetic optical switch, or feedback mechanisms for reducing background noise and improving signal-to-noise ratio. Next is the transducer, converting the biological signal to an electrical signal for further signal processing, analog to digital conversion, storage, and network communication. The modeling of each of the stages: whole-cell sensing, protein expression and signal transduction, and CMOS interfacing, is presented, and a unified approach is proposed allowing for complete system modeling using Verilog-A hardware description language (HDL).
KW - HDL
KW - Synthetic biology
KW - Verilog-A
KW - bio-signal transduction
KW - biosensors
KW - electrochemical sensors
KW - plant sensors
KW - precision agriculture
KW - whole-cell sensing
UR - https://www.scopus.com/pages/publications/85215277451
U2 - 10.1109/SENSORS60989.2024.10785111
DO - 10.1109/SENSORS60989.2024.10785111
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85215277451
T3 - Proceedings of IEEE Sensors
BT - 2024 IEEE Sensors, SENSORS 2024 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Sensors, SENSORS 2024
Y2 - 20 October 2024 through 23 October 2024
ER -