Literature DB >> 32323689

SLOCK (sensor for circadian clock): passive sweat-based chronobiology tracker.

Sayali Upasham1, Shalini Prasad.   

Abstract

SLOCK is a human sweat based platform for circadian relevant biomarkers- cortisol and DHEA. It monitors passively expressed eccrine and apocrine sweat towards measuring and reporting cortisol and DHEA concentrations over multiple time points in humans. The sensor works on the principle of affinity based electrochemical detection. The novelty lies in the usage of a hybrid porosity platform for enhancing multibiomarker detection ability through sweat. The platform is the first demonstration of chronobiology tracking using multiple biomarkers supported by human subject based study. The sensor performance is evaluated on a set of six healthy human subjects, which are varied by age, gender, and ethnicity. Following this, the sensor performance is confirmed using ELISA, a commercially used diagnostic technique. From the results, it can be observed that the sensor is highly sensitive to the target biomarker concentrations in the physiological range of 8-141 ng ml-1. The platform is also able to capture the biomarker rise and fall (i.e., going from a low concentration of 1 ng ml-1 to a high concentration of 100 ng ml-1 and back down to 10 ng ml-1). This is reflected by a percentage change of cumulative sensor response by 10%, 20%, and 22%, respectively from baseline, for cortisol. Similarly for DHEA, the sensor shows sensitivity to rising and falling changes with percentage changes of 45%, 55%, and 56% for 1, 100, and 10 ng ml-1 biomarker concentrations. This sensitivity is crucial in order to develop the circadian profile for the user. Thus, the sensor offers a first time demonstration of the potential of a passive self-monitoring approach for managing circadian abnormalities and is a good platform for tracking chronobiology.

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Year:  2020        PMID: 32323689     DOI: 10.1039/d0lc00134a

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  6 in total

Review 1.  The circadian clock and diseases of the skin.

Authors:  Junyan Duan; Elyse Noelani Greenberg; Satya Swaroop Karri; Bogi Andersen
Journal:  FEBS Lett       Date:  2021-09-29       Impact factor: 3.864

Review 2.  Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection.

Authors:  Ahmad Yaser Alhaddad; Hussein Aly; Hoda Gad; Abdulaziz Al-Ali; Kishor Kumar Sadasivuni; John-John Cabibihan; Rayaz A Malik
Journal:  Front Bioeng Biotechnol       Date:  2022-05-12

3.  Point-of-use sweat biosensor to track the endocrine-inflammation relationship for chronic disease monitoring.

Authors:  Sayali Upasham; Ashlesha Bhide; Kai-Chun Lin; Shalini Prasad
Journal:  Future Sci OA       Date:  2020-10-22

4.  Demonstration of sweat-based circadian diagnostic capability of SLOCK using electrochemical detection modalities.

Authors:  Sayali Upasham; Olivia Osborne; Shalini Prasad
Journal:  RSC Adv       Date:  2021-02-17       Impact factor: 3.361

Review 5.  Wearable electrochemical biosensors to measure biomarkers with complex blood-to-sweat partition such as proteins and hormones.

Authors:  David Pérez; Jahir Orozco
Journal:  Mikrochim Acta       Date:  2022-03-01       Impact factor: 6.408

Review 6.  Sensor Technology and Intelligent Systems in Anorexia Nervosa: Providing Smarter Healthcare Delivery Systems.

Authors:  Carlos A Almenara; Silvia Cimino; Luca Cerniglia
Journal:  Biomed Res Int       Date:  2022-09-19       Impact factor: 3.246

  6 in total

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