@inproceedings{6754f59093dc42c5bd6b0e6cb8a9b0fc,
title = "CMOS-NANOWELL BASED HYBRID SMART BANDAGE FOR LONG TERM MONITORING OF WOUND HEALING VIA CYTOKINE QUANTIFICATION IN-SITU",
abstract = "Long-term monitoring of the chronic wound can allow autonomous wound healing. Prior attempts that sense wound closure dynamics in bandage forms are based on pressure, temperature and pH, lacking specific bio-molecular information that is critical for accurate acquisition of growth factors in various wound healing stages. This work presents a hybrid CMOS/nanowell co-design approach to target cytokine level to predict wound closure dynamics. The complete impedance spectroscopy chip is designed and fabricated in TSMC 65 nm LP process and is integrated on a flexible PCB compatible to {"}Smart Bandage{"}forms along with nanowell sensors located at the back and peripheral circuits. The proposed system demonstrates the sensitivity of IL-6 cytokine on the order of 100 pg/mL, and shows strong correlations to the standardized ELISA tests. This proposed CMOS/nano hybrid approach shows a path towards highly multiplexed and low-cost {"}Smart Bandages{"}for autonomous closed-loop wound monitoring and healing applications.",
keywords = "ELISA, Smart bandages, cytokine, impedance spectroscopy, nano-fabrication, wound healing",
author = "Chengjie Zhu and Pengfei Xie and Ryan Thorpe and Jesus Maldonado and Suneel Kumar and Aaron Mazzeo and Mehdi Javanmard and Francois Berthiaume and Kaushik Sengupta",
note = "Publisher Copyright: {\textcopyright} 2022 TRF.; 2022 Solid-State Sensors, Actuators and Microsystems Workshop, Hilton Head 2022 ; Conference date: 05-06-2022 Through 09-06-2022",
year = "2022",
language = "American English",
series = "2022 Solid-State Sensors, Actuators and Microsystems Workshop, Hilton Head 2022",
publisher = "Transducer Research Foundation",
pages = "122--125",
editor = "Reza Ghodssi and Chan, {Jenna F.}",
booktitle = "2022 Solid-State Sensors, Actuators and Microsystems Workshop, Hilton Head 2022",
}