Journal
ACS SENSORS
Volume 6, Issue 1, Pages 111-122Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acssensors.0c01912
Keywords
resonant sensor; LC sensor; wireless; wound management; smart bandage
Funding
- NSF Industrial Innovation and Partnerships PFI-RP [1827578]
- NSF I-Corps [1924882]
- 3M Untenured Faculty Award
- Div Of Industrial Innovation & Partnersh
- Directorate For Engineering [1827578] Funding Source: National Science Foundation
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This paper presents a passive LC resonant sensor embedded in a commercial dressing for low-cost wound monitoring, enabling tracking of the healing process through resonant frequency changes; the performance of the resonators was validated through animal studies, and a transfer function model relating resonant frequency to wound size was developed for different applications.
This paper details a passive, inductor-capacitor (LC) resonant sensor embedded in a commercial dressing for low-cost, contact-free monitoring of a wound; this would enable tracking of the healing process while keeping the site closed and sterile. Spiral LC resonators were fabricated from flexible, copper-coated polyimide and interrogated using external reader antennas connected to a two-port vector network analyzer; the forward transmission scattering parameter (S-21) magnitude was collected, and the resonant frequency (MHz) and the peak-to-peak amplitude of the resonant feature were identified. These increase during the healing process as the permittivity and conductivity of the tissue change. The sensor was first tested on gelatin-based tissue-mimicking phantoms that simulate layers of muscle, blood, fat, and skin at varying phases of wound healing. Finite element modeling was also used to verify the empirical results based on the expected variations in dielectric properties of the tissue. The performance of the resonant sensors for in vivo applications was investigated by conducting animal studies using canine patients that presented with a natural wound as well as a controlled cohort of rat models with surgically administered wounds. Finally, transfer functions are presented that relate the resonant frequency to wound size using an exponential model (R-2 = 0.58-0.96). The next steps in sensor design and fabrication as well as the reading platform to achieve the goal of a universal calibration curve are then discussed.
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