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      End-to-end design of wearable sensors

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          Abstract

          Wearable devices provide an alternative pathway to clinical diagnostics by exploiting various physical, chemical and biological sensors to mine physiological (biophysical and/or biochemical) information in real time (preferably, continuously) and in a non-invasive or minimally invasive manner. These sensors can be worn in the form of glasses, jewellery, face masks, wristwatches, fitness bands, tattoo-like devices, bandages or other patches, and textiles. Wearables such as smartwatches have already proved their capability for the early detection and monitoring of the progression and treatment of various diseases, such as COVID-19 and Parkinson disease, through biophysical signals. Next-generation wearable sensors that enable the multimodal and/or multiplexed measurement of physical parameters and biochemical markers in real time and continuously could be a transformative technology for diagnostics, allowing for high-resolution and time-resolved historical recording of the health status of an individual. In this Review, we examine the building blocks of such wearable sensors, including the substrate materials, sensing mechanisms, power modules and decision-making units, by reflecting on the recent developments in the materials, engineering and data science of these components. Finally, we synthesize current trends in the field to provide predictions for the future trajectory of wearable sensors.

          Abstract

          Wearable sensors that access both biophysical and biochemical information can be used to monitor the physiological state of an individual and facilitate diagnosis. This Review examines the building blocks of wearable devices, including the substrate materials as well as the sensing, decision-making and power modules.

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          Most cited references287

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          Densely Connected Convolutional Networks

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            CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity

            CRISPR-Cas12a (Cpf1) proteins are RNA-guided enzymes that bind and cut DNA as components of bacterial adaptive immune systems. Like CRISPR-Cas9, Cas12a has been harnessed for genome editing based on its ability to generate targeted, double-stranded DNA (dsDNA) breaks. Here we show that RNA-guided DNA binding unleashes indiscriminate single-stranded DNA (ssDNA) cleavage activity by Cas12a that completely degrades ssDNA molecules. We find that target-activated, non-specific ssDNase cleavage is also a property of other type V CRISPR-Cas12 enzymes. By combining Cas12a ssDNase activation with isothermal amplification, we create a method termed DNA Endonuclease Targeted CRISPR Trans Reporter (DETECTR), which achieves attomolar sensitivity for DNA detection. DETECTR enables rapid and specific detection of human papillomavirus in patient samples, thereby providing a simple platform for molecular diagnostics.
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              Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis.

              Wearable sensor technologies are essential to the realization of personalized medicine through continuously monitoring an individual's state of health. Sampling human sweat, which is rich in physiological information, could enable non-invasive monitoring. Previously reported sweat-based and other non-invasive biosensors either can only monitor a single analyte at a time or lack on-site signal processing circuitry and sensor calibration mechanisms for accurate analysis of the physiological state. Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical and requires full system integration to ensure the accuracy of measurements. Here we present a mechanically flexible and fully integrated (that is, no external analysis is needed) sensor array for multiplexed in situ perspiration analysis, which simultaneously and selectively measures sweat metabolites (such as glucose and lactate) and electrolytes (such as sodium and potassium ions), as well as the skin temperature (to calibrate the response of the sensors). Our work bridges the technological gap between signal transduction, conditioning (amplification and filtering), processing and wireless transmission in wearable biosensors by merging plastic-based sensors that interface with the skin with silicon integrated circuits consolidated on a flexible circuit board for complex signal processing. This application could not have been realized using either of these technologies alone owing to their respective inherent limitations. The wearable system is used to measure the detailed sweat profile of human subjects engaged in prolonged indoor and outdoor physical activities, and to make a real-time assessment of the physiological state of the subjects. This platform enables a wide range of personalized diagnostic and physiological monitoring applications.
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                Author and article information

                Contributors
                jimjc@mit.edu
                dincer@imtek.de
                Journal
                Nat Rev Mater
                Nat Rev Mater
                Nature Reviews. Materials
                Nature Publishing Group UK (London )
                2058-8437
                22 July 2022
                : 1-21
                Affiliations
                [1 ]GRID grid.5963.9, FIT Freiburg Center for Interactive Materials and Bioinspired Technology, , University of Freiburg, ; Freiburg, Germany
                [2 ]GRID grid.5963.9, IMTEK – Department of Microsystems Engineering, , University of Freiburg, ; Freiburg, Germany
                [3 ]GRID grid.38142.3c, ISNI 000000041936754X, Wyss Institute for Biologically Inspired Engineering, , Harvard University, ; Boston, MA USA
                [4 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, Department of Bioengineering, , Imperial College London, ; London, UK
                [5 ]GRID grid.466579.f, ISNI 0000 0004 1776 8315, Biophotonic Nanosensors Laboratory, Centro de Investigaciones en Óptica, ; León, Mexico
                [6 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Institute of Medical Engineering & Science, Department of Biological Engineering, , MIT, ; Cambridge, MA USA
                [7 ]GRID grid.66859.34, ISNI 0000 0004 0546 1623, Broad Institute of MIT and Harvard, ; Cambridge, MA USA
                Author information
                http://orcid.org/0000-0001-7882-4745
                http://orcid.org/0000-0002-0935-6404
                http://orcid.org/0000-0003-1372-7965
                http://orcid.org/0000-0002-1536-825X
                http://orcid.org/0000-0001-5454-0609
                http://orcid.org/0000-0003-3301-1198
                Article
                460
                10.1038/s41578-022-00460-x
                9306444
                35910814
                ae6a3106-fc2e-4bfe-9454-88cefaf4327c
                © Springer Nature Limited 2022

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 15 June 2022
                Categories
                Review Article

                biosensors,bioinspired materials,diagnostic devices,sensors and biosensors,synthetic biology

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