2023
DOI: 10.1016/j.bios.2023.115097
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A non-invasive wearable stress patch for real-time cortisol monitoring using a pseudoknot-assisted aptamer

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Cited by 29 publications
(18 citation statements)
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“…Silicon-based microfluidic chips were first developed and have advantages such as high thermal conductivity, special optical properties and electro-osmotic stability. However, their high cost, complex process flow, time consuming nature, rigidity and gas impermeability and other shortcomings have become obstacles to the large-scale application of health monitoring and wearable biomedicine [ 10 , 60 , 62 , 63 , 64 ].…”
Section: Different Materials and Preparation Methods For Microfluidic...mentioning
confidence: 99%
“…Silicon-based microfluidic chips were first developed and have advantages such as high thermal conductivity, special optical properties and electro-osmotic stability. However, their high cost, complex process flow, time consuming nature, rigidity and gas impermeability and other shortcomings have become obstacles to the large-scale application of health monitoring and wearable biomedicine [ 10 , 60 , 62 , 63 , 64 ].…”
Section: Different Materials and Preparation Methods For Microfluidic...mentioning
confidence: 99%
“…For example, recent work reveals that tracking fluctuations in sweat cortisol concentration provides insight into the stress response of the body and the resulting impact on body functions/diseases (Figure 3D 115 ). 114,115,141,142 The potential implications of devices capable of continuously monitoring clinically relevant sweat biomarkers for evaluating the progression or treatment of a variety of diseases are substantial. The need for such technologies is notably exemplified for diabetes.…”
Section: ■ Emerging Applicationsmentioning
confidence: 99%
“…(D) Electrochemical sensor functionalized with a regenerable pseudoknot-assisted aptamer and a flexible microfluidic sweat sampling system to continuously monitor cortisol level fluctuations in sweat. Adapted with permission from ref . Copyright 2023 Elsevier.…”
Section: The Current State Of Sweat Analysismentioning
confidence: 99%
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