Literature DB >> 24109974

Glucose detection in human sweat using an electronic nose.

Oscar Olarte, José Chilo, José Pelegri-Sebastia, Kurt Barbé, Wendy Van Moer.   

Abstract

In the last years attempts to develop a non-invasive glucose system based on the glucose levels in sweat have been studied. In this paper, 32 metal oxide semiconductor (MOS) sensors operating at different temperatures have been used to develop a multisensor olfactory system that allows to study the glucose levels in sweat. In order to develop repeatable experiments, artificial sweat at different glucose concentrations were developed in the laboratory. The obtained results suggest high viability of the approach. Although, the sensitivity of the sensors system needs to be improved.

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Year:  2013        PMID: 24109974     DOI: 10.1109/EMBC.2013.6609787

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  A graphene-based electrochemical device with thermoresponsive microneedles for diabetes monitoring and therapy.

Authors:  Hyunjae Lee; Tae Kyu Choi; Young Bum Lee; Hye Rim Cho; Roozbeh Ghaffari; Liu Wang; Hyung Jin Choi; Taek Dong Chung; Nanshu Lu; Taeghwan Hyeon; Seung Hong Choi; Dae-Hyeong Kim
Journal:  Nat Nanotechnol       Date:  2016-03-21       Impact factor: 39.213

2.  A gold electrode modified with a gold-graphene oxide nanocomposite for non-enzymatic sensing of glucose at near-neutral pH values.

Authors:  Chaohui He; Jiakai Wang; Nan Gao; Hanping He; Kailun Zou; Mingyu Ma; Yang Zhou; Zhiwei Cai; Gang Chang; Yunbin He
Journal:  Mikrochim Acta       Date:  2019-10-26       Impact factor: 5.833

Review 3.  Trends in Nanomaterial-Based Non-Invasive Diabetes Sensing Technologies.

Authors:  Prashanth Makaram; Dawn Owens; Juan Aceros
Journal:  Diagnostics (Basel)       Date:  2014-04-21

4.  Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection.

Authors:  Enric Climent; Jose Pelegri-Sebastia; Tomas Sogorb; J B Talens; Jose Chilo
Journal:  Sensors (Basel)       Date:  2017-08-20       Impact factor: 3.576

Review 5.  Non-Invasive Electrochemical Biosensors Operating in Human Physiological Fluids.

Authors:  Magnus Falk; Carolin Psotta; Stefan Cirovic; Sergey Shleev
Journal:  Sensors (Basel)       Date:  2020-11-07       Impact factor: 3.576

6.  A machine learning-based on-demand sweat glucose reporting platform.

Authors:  Devangsingh Sankhala; Abha Umesh Sardesai; Madhavi Pali; Kai-Chun Lin; Badrinath Jagannath; Sriram Muthukumar; Shalini Prasad
Journal:  Sci Rep       Date:  2022-02-14       Impact factor: 4.379

Review 7.  Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring.

Authors:  Hima Zafar; Asma Channa; Varun Jeoti; Goran M Stojanović
Journal:  Sensors (Basel)       Date:  2022-01-14       Impact factor: 3.576

  7 in total

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