{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lin H"],"funding":["NIDDK NIH HHS","Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles","National Institutes of Health"],"pagination":["4267-4275"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9757655"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["22(22)"],"pubmed_abstract":["Advancements in wearable bioanalytical microsystems have enabled diurnal and (semi)continuous monitoring of physiologically-relevant indices that are accessible through probing sweat. To deliver an undistorted and physiologically-meaningful interpretation of these readings, tracking the sweat secretion rate is essential, because it allows for calibrating the biomarker readings against variations in sweat secretion and inferring the body's hydration/electrolyte homeostasis status. To realize an autonomous wearable solution with intrinsically high signal-to-noise ratio sweat rate sensing capabilities, here, we devise a digitized microbubble detection mechanism-delivered by a hybrid microfluidic/electronic system with a compact footprint. This mechanism is based on the intermittent generation"],"journal":["Lab on a chip"],"pubmed_title":["Autonomous wearable sweat rate monitoring based on digitized microbubble detection."],"pmcid":["PMC9757655"],"funding_grant_id":["R21 DK128711","R21DK128711-01"],"pubmed_authors":["Lin S","Lin H","Yu W","Milla C","Sankararaman S","Emaminejad S","Athavan H","Wang Y","Yeung C","Suarez JED"],"additional_accession":[]},"is_claimable":false,"name":"Autonomous wearable sweat rate monitoring based on digitized microbubble detection.","description":"Advancements in wearable bioanalytical microsystems have enabled diurnal and (semi)continuous monitoring of physiologically-relevant indices that are accessible through probing sweat. To deliver an undistorted and physiologically-meaningful interpretation of these readings, tracking the sweat secretion rate is essential, because it allows for calibrating the biomarker readings against variations in sweat secretion and inferring the body's hydration/electrolyte homeostasis status. To realize an autonomous wearable solution with intrinsically high signal-to-noise ratio sweat rate sensing capabilities, here, we devise a digitized microbubble detection mechanism-delivered by a hybrid microfluidic/electronic system with a compact footprint. This mechanism is based on the intermittent generation","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Nov","modification":"2025-04-04T13:09:35.029Z","creation":"2025-04-04T13:09:35.029Z"},"accession":"S-EPMC9757655","cross_references":{"pubmed":["36268642"],"doi":["10.1039/d2lc00670g"]}}