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Passive sweat wearable: A new paradigm in the wearable landscape toward enabling "detect to treat" opportunities.
Greyling, Cornelia Felicia; Ganguly, Antra; Sardesai, Abha Umesh; Churcher, Nathan Kodjo Mintah; Lin, Kai-Chun; Muthukumar, Sriram; Prasad, Shalini.
Afiliación
  • Greyling CF; Department of Bioengineering, The University of Texas at Dallas, Richardson, Texas, USA.
  • Ganguly A; Department of Bioengineering, The University of Texas at Dallas, Richardson, Texas, USA.
  • Sardesai AU; Department of Computer Engineering, The University of Texas at Dallas, Richardson, Texas, USA.
  • Churcher NKM; Department of Bioengineering, The University of Texas at Dallas, Richardson, Texas, USA.
  • Lin KC; Department of Bioengineering, The University of Texas at Dallas, Richardson, Texas, USA.
  • Muthukumar S; EnLiSense LLC, Allen, Texas, USA.
  • Prasad S; Department of Bioengineering, The University of Texas at Dallas, Richardson, Texas, USA.
Wiley Interdiscip Rev Nanomed Nanobiotechnol ; 16(1): e1912, 2024.
Article en En | MEDLINE | ID: mdl-37356818
Growing interest over recent years in personalized health monitoring coupled with the skyrocketing popularity of wearable smart devices has led to the increased relevance of wearable sweat-based sensors for biomarker detection. From optimizing workouts to risk management of cardiovascular diseases and monitoring prediabetes, the ability of sweat sensors to continuously and noninvasively measure biomarkers in real-time has a wide range of applications. Conventional sweat sensors utilize external stimulation of sweat glands to obtain samples, however; this stimulation influences the expression profile of the biomarkers and reduces the accuracy of the detection method. To address this limitation, our laboratory pioneered the development of the passive sweat sensor subfield, which allowed for our progress in developing a sweat chemistry panel. Passive sweat sensors utilize nanoporous structures to confine and detect biomarkers in ultra-low sweat volumes. The ability of passive sweat sensors to use smaller samples than conventional sensors enable users with sedentary lifestyles who perspire less to benefit from sweat sensor technology not previously afforded to them. Herein, the mechanisms and strategies of current sweat sensors are summarized with an emphasis on the emerging subfield of passive sweat-based diagnostics. Prospects for this technology include discovering new biomarkers expressed in sweat and expanding the list of relevant detectable biomarkers. Moreover, the accuracy of biomarker detection can be enhanced with machine learning using prediction algorithms trained on clinical data. Applying this machine learning in conjunction with multiplex biomarker detection will allow for a more holistic approach to trend predictions. This article is categorized under: Diagnostic Tools > Diagnostic Nanodevices Nanotechnology Approaches to Biology > Nanoscale Systems in Biology Diagnostic Tools > Biosensing.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Dispositivos Electrónicos Vestibles Tipo de estudio: Prognostic_studies Idioma: En Revista: Wiley Interdiscip Rev Nanomed Nanobiotechnol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Técnicas Biosensibles / Dispositivos Electrónicos Vestibles Tipo de estudio: Prognostic_studies Idioma: En Revista: Wiley Interdiscip Rev Nanomed Nanobiotechnol Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos