Elisabetta Ruggeri1,Giusy Matzeu1,Giulia Guidetti1,Andrea Vergine2,Marco Lo Presti1,Giuseppe De Nicolao2,Fiorenzo Omenetto1
Tufts University1,Università degli Studi di Pavia2
Elisabetta Ruggeri1,Giusy Matzeu1,Giulia Guidetti1,Andrea Vergine2,Marco Lo Presti1,Giuseppe De Nicolao2,Fiorenzo Omenetto1
Tufts University1,Università degli Studi di Pavia2
Wearable sensors are establishing themselves as options for real-time continuous health monitoring in health care and wellness. In particular, the use of flexible interfaces that conform to the skin have attracted considerable interest for the extraction of meaningful physiological and pathological information through continuous and painless sampling and analysis of biofluids. In contrast, conventional techniques for biomarkers analysis are difficult to adapt to real-time portable monitoring due to their invasive sampling protocols, biosample preparation and reagent stabilization. In this work, we present shelf-stable, non-invasive, paper-based colorimetric wearable lactate and temperature sensors. These sensors exploit the ability of silk to control the concentration, print, and functionally preserve labile transducing biomolecules in the format of a shelf-stable digital patch for optical readout. This novel approach overcomes major challenges associated with the commercialization of colorimetric wearable sensors (e.g., enzyme thermal instability, narrow sensing range, low sensitivity, and qualitative response) by showing a combination of unprecedented stability (i.e., up to 2 years in refrigerated conditions), wide sensing range, and high sensitivity. Additionally, real-time quantitative signal readouts are achieved using machine learning-driven image analysis enabling physiological status evaluation with a simple smartphone camera.