A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early

Nate T. Garland; Joseph W. Song; Tengfei Ma; Yong Jae Kim; Abraham Vázquez-Guardado; Ayemeh Bagheri Hashkavayi; Sankalp Koduvayur Ganeshan; Nivesh Sharma; Hanjun Ryu; Min Kyu Lee; Brandon Sumpio; Margaret A. Jakus; Viviane Forsberg; Rajaram Kaveti; Samuel K. Sia; Aristidis Veves; John A. Rogers; Guillermo A. Ameer; Amay J. Bandodkar

doi:10.1002/adhm.202301280

A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early

Nate T. Garland, Joseph W. Song, Tengfei Ma, Yong Jae Kim, Abraham Vázquez-Guardado, Ayemeh Bagheri Hashkavayi, Sankalp Koduvayur Ganeshan, Nivesh Sharma, Hanjun Ryu, Min Kyu Lee, Brandon Sumpio, Margaret A. Jakus, Viviane Forsberg, Rajaram Kaveti, Samuel K. Sia, Aristidis Veves, John A. Rogers^*, Guillermo A. Ameer^*, Amay J. Bandodkar^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

Diabetic foot ulcers are chronic wounds that affect millions and increase the risk of amputation and mortality, highlighting the critical need for their early detection. Recent demonstrations of wearable sensors enable real-time wound assessment, but they rely on bulky electronics, making them difficult to interface with wounds. Herein, a miniaturized, wireless, battery-free wound monitor that measures lactate in real-time and seamlessly integrates with bandages for conformal attachment to the wound bed is introduced. Lactate is selected due to its multifaceted role in initiating healing. Studies in healthy and diabetic mice reveal distinct lactate profiles for normal and impaired healing wounds. A mathematical model based on the sensor data predicts wound closure rate within the first 3 days post-injury with ≈76% accuracy, which increases to ≈83% when pH is included. These studies underscore the significance of monitoring biomarkers during the inflammation phase, which can offer several benefits, including short-term use of wound monitors and their easy removal, resulting in lower risks of injury and infection at the wound site. Improvements in prediction accuracy can be achieved by designing mathematical models that build on multiple wound parameters such as pro-inflammatory and metabolic markers. Achieving this goal will require designing multi-analyte wound monitors.

Original language	English (US)
Article number	2301280
Journal	Advanced Healthcare Materials
Volume	12
Issue number	28
DOIs	https://doi.org/10.1002/adhm.202301280
State	Published - Nov 10 2023

Funding

N.T.G., J.W.S., T.M., and Y.J.K. contributed equally to this work. Research reported in this publication was supported by the Defense Advanced Research Projects Agency (D20AC00004) and the Center for Advanced Regenerative Engineering (CARE) at Northwestern University. Imaging work was performed at the Northwestern University Center for Advanced Molecular Imaging supported by NCI CCSG P30 CA060553 awarded to the Robert H Lurie Comprehensive Cancer Center. This work made use of the NUFAB facility of Northwestern University's NUANCE Center, which has received support from the SHyNE Resource (NSF ECCS‐2025633), the IIN, and Northwestern's MRSEC program (NSF DMR‐1720139). A.J.B. acknowledges support from the National Science Foundation Nanoscience Engineering Research Center for Advanced Self‐Powered Systems of Integrated Sensors and Technologies (EEC‐1160483). J.W.S. acknowledges support from the National Institute of Diabetes and Digestive and Kidney Diseases (grant no. R01DK131302). N.T.G., J.W.S., T.M., and Y.J.K. contributed equally to this work. Research reported in this publication was supported by the Defense Advanced Research Projects Agency (D20AC00004) and the Center for Advanced Regenerative Engineering (CARE) at Northwestern University. Imaging work was performed at the Northwestern University Center for Advanced Molecular Imaging supported by NCI CCSG P30 CA060553 awarded to the Robert H Lurie Comprehensive Cancer Center. This work made use of the NUFAB facility of Northwestern University's NUANCE Center, which has received support from the SHyNE Resource (NSF ECCS-2025633), the IIN, and Northwestern's MRSEC program (NSF DMR-1720139). A.J.B. acknowledges support from the National Science Foundation Nanoscience Engineering Research Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (EEC-1160483). J.W.S. acknowledges support from the National Institute of Diabetes and Digestive and Kidney Diseases (grant no. R01DK131302).

Keywords

chronic wounds
diabetic ulcers
lactate sensing
wireless electronics
wound sensing

ASJC Scopus subject areas

Biomaterials
Biomedical Engineering
Pharmaceutical Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/adhm.202301280

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Garland, N. T., Song, J. W., Ma, T., Kim, Y. J., Vázquez-Guardado, A., Hashkavayi, A. B., Ganeshan, S. K., Sharma, N., Ryu, H., Lee, M. K., Sumpio, B., Jakus, M. A., Forsberg, V., Kaveti, R., Sia, S. K., Veves, A., Rogers, J. A., Ameer, G. A., & Bandodkar, A. J. (2023). A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early. Advanced Healthcare Materials, 12(28), Article 2301280. https://doi.org/10.1002/adhm.202301280

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title = "A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early",

abstract = "Diabetic foot ulcers are chronic wounds that affect millions and increase the risk of amputation and mortality, highlighting the critical need for their early detection. Recent demonstrations of wearable sensors enable real-time wound assessment, but they rely on bulky electronics, making them difficult to interface with wounds. Herein, a miniaturized, wireless, battery-free wound monitor that measures lactate in real-time and seamlessly integrates with bandages for conformal attachment to the wound bed is introduced. Lactate is selected due to its multifaceted role in initiating healing. Studies in healthy and diabetic mice reveal distinct lactate profiles for normal and impaired healing wounds. A mathematical model based on the sensor data predicts wound closure rate within the first 3 days post-injury with ≈76% accuracy, which increases to ≈83% when pH is included. These studies underscore the significance of monitoring biomarkers during the inflammation phase, which can offer several benefits, including short-term use of wound monitors and their easy removal, resulting in lower risks of injury and infection at the wound site. Improvements in prediction accuracy can be achieved by designing mathematical models that build on multiple wound parameters such as pro-inflammatory and metabolic markers. Achieving this goal will require designing multi-analyte wound monitors.",

keywords = "chronic wounds, diabetic ulcers, lactate sensing, wireless electronics, wound sensing",

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note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Advanced Healthcare Materials published by Wiley-VCH GmbH.",

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Garland, NT, Song, JW, Ma, T, Kim, YJ, Vázquez-Guardado, A, Hashkavayi, AB, Ganeshan, SK, Sharma, N, Ryu, H, Lee, MK, Sumpio, B, Jakus, MA, Forsberg, V, Kaveti, R, Sia, SK, Veves, A, Rogers, JA , Ameer, GA & Bandodkar, AJ 2023, 'A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early', Advanced Healthcare Materials, vol. 12, no. 28, 2301280. https://doi.org/10.1002/adhm.202301280

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AU - Garland, Nate T.

AU - Song, Joseph W.

AU - Ma, Tengfei

AU - Kim, Yong Jae

AU - Vázquez-Guardado, Abraham

AU - Hashkavayi, Ayemeh Bagheri

AU - Ganeshan, Sankalp Koduvayur

AU - Sharma, Nivesh

AU - Ryu, Hanjun

AU - Lee, Min Kyu

AU - Sumpio, Brandon

AU - Jakus, Margaret A.

AU - Forsberg, Viviane

AU - Kaveti, Rajaram

AU - Sia, Samuel K.

AU - Veves, Aristidis

AU - Rogers, John A.

AU - Ameer, Guillermo A.

AU - Bandodkar, Amay J.

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N2 - Diabetic foot ulcers are chronic wounds that affect millions and increase the risk of amputation and mortality, highlighting the critical need for their early detection. Recent demonstrations of wearable sensors enable real-time wound assessment, but they rely on bulky electronics, making them difficult to interface with wounds. Herein, a miniaturized, wireless, battery-free wound monitor that measures lactate in real-time and seamlessly integrates with bandages for conformal attachment to the wound bed is introduced. Lactate is selected due to its multifaceted role in initiating healing. Studies in healthy and diabetic mice reveal distinct lactate profiles for normal and impaired healing wounds. A mathematical model based on the sensor data predicts wound closure rate within the first 3 days post-injury with ≈76% accuracy, which increases to ≈83% when pH is included. These studies underscore the significance of monitoring biomarkers during the inflammation phase, which can offer several benefits, including short-term use of wound monitors and their easy removal, resulting in lower risks of injury and infection at the wound site. Improvements in prediction accuracy can be achieved by designing mathematical models that build on multiple wound parameters such as pro-inflammatory and metabolic markers. Achieving this goal will require designing multi-analyte wound monitors.

AB - Diabetic foot ulcers are chronic wounds that affect millions and increase the risk of amputation and mortality, highlighting the critical need for their early detection. Recent demonstrations of wearable sensors enable real-time wound assessment, but they rely on bulky electronics, making them difficult to interface with wounds. Herein, a miniaturized, wireless, battery-free wound monitor that measures lactate in real-time and seamlessly integrates with bandages for conformal attachment to the wound bed is introduced. Lactate is selected due to its multifaceted role in initiating healing. Studies in healthy and diabetic mice reveal distinct lactate profiles for normal and impaired healing wounds. A mathematical model based on the sensor data predicts wound closure rate within the first 3 days post-injury with ≈76% accuracy, which increases to ≈83% when pH is included. These studies underscore the significance of monitoring biomarkers during the inflammation phase, which can offer several benefits, including short-term use of wound monitors and their easy removal, resulting in lower risks of injury and infection at the wound site. Improvements in prediction accuracy can be achieved by designing mathematical models that build on multiple wound parameters such as pro-inflammatory and metabolic markers. Achieving this goal will require designing multi-analyte wound monitors.

KW - chronic wounds

KW - diabetic ulcers

KW - lactate sensing

KW - wireless electronics

KW - wound sensing

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A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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