Investigating pomegranate rind dye for wearable health monitoring: a colorimetric approach to analyzing sweat, glucose, and insulin

dc.contributor.authorPerera, WTAN
dc.contributor.authorMedagedara, MH
dc.contributor.authorHerath, CN
dc.date.accessioned2024-07-22T08:29:07Z
dc.date.available2024-07-22T08:29:07Z
dc.date.issued2023-12
dc.description.abstractThis study investigates the potential of pomegranate rind dye, a natural source of pH-sensitive anthocyanins, in the field of health monitoring through the colorimetric detection of sweat analytes, markers of physiological states [1], [2]. Addressing the limitations of cost and complexity inherent in traditional sweat analysis methods prevalent in healthcare and sports science [2], [3], our approach utilizes colorimetric analysis. This technique, simpler and more cost-effective, relies on visual color changes in response to specific analytes for quantitative data acquisition [1]. Emphasizing sustainability and economic feasibility, our research highlights the potential of natural dyes, particularly pomegranate rind, in creating eco-friendly, cost-efficient textile-based indicators for health monitoring applications, including fertility and menstrual cycle tracking.en_US
dc.identifier.conferenceERU Symposium - 2023en_US
dc.identifier.doihttps://doi.org/10.31705/ERU.2023.4en_US
dc.identifier.emailakininikeshala@gmail.comen_US
dc.identifier.emailmhmed@ou.ac.lken_US
dc.identifier.emailchera@ou.ac.lken_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 10-11en_US
dc.identifier.placeSri Lankaen_US
dc.identifier.proceedingProceedings of the ERU Symposium 2023en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/22594
dc.identifier.year2023en_US
dc.language.isoenen_US
dc.publisherEngineering Research Uniten_US
dc.subjectColorimetric Sensingen_US
dc.subjectWearable Technologyen_US
dc.subjectNatural Dyesen_US
dc.subjectSweat Sensingen_US
dc.subjectSmart Textilesen_US
dc.titleInvestigating pomegranate rind dye for wearable health monitoring: a colorimetric approach to analyzing sweat, glucose, and insulinen_US
dc.typeConference-Extended-Abstracten_US

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