Literature DB >> 31867585

Flexible, low volume detection of chronobiology biomarkers from human sweat.

Sayali Upasham1, Kevin Thai, Ritika Muthyala, Shalini Prasad.   

Abstract

Chronobiology is defined as the temporal fluctuations occurring in the human physiology due to the circadian cycle. These fluctuations are good indicators of the functioning of the Hypothalamic-Pituitary-Adrenal axis (HPA axis) and can be tracked by using biomarkers: cortisol and DHEA. Low volume tracking systems will be beneficial for patients exposed to chronic stress, patients suffering from endocrine conditions manifested by circadian disruption and act as a lifestyle monitoring tool. The sensor system demonstrated in this work was an affinity-based system, characterized using EIS (Electrochemical Impedance Spectroscopy).The sensor can detect cortisol and DHEA in the physiologically relevant ranges i.e. 8-200 ng ml-1 and 2-131 ng ml-1 respectively. Thus, the senor is a non-invasive, label free, cost-effective solution for tracking chronobiology for circadian diagnostics.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 31867585     DOI: 10.1039/c9an01968e

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  4 in total

1.  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

2.  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 3.  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

4.  Development of a flexible, sweat-based neuropeptide Y detection platform.

Authors:  Nathan Kodjo Mintah Churcher; Sayali Upasham; Paul Rice; Serena Bhadsavle; Shalini Prasad
Journal:  RSC Adv       Date:  2020-06-17       Impact factor: 4.036

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.