Smartphone based wearable sweat glucose sensing device correlated with machine learning for real-time diabetes screening.

Journal: Analytica chimica acta
PMID: 38834276

Abstract

BACKGROUND: Diabetes is a significant health threat, with its prevalence and burden increasing worldwide indicating its challenge for global healthcare management. To decrease the disease severity, the diabetic patients are recommended to regularly check their blood glucose levels. The conventional finger-pricking test possesses some drawbacks, including painfulness and infection risk. Nowadays, smartphone has become a part of our lives offering an important benefit in self-health monitoring. Thus, non-invasive wearable sweat glucose sensor connected with a smartphone readout is of interest for real-time glucose detection.

Authors

  • Nadtinan Promphet
    Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand.
  • Chusak Thanawattano
  • Chatchai Buekban
    National Electronics and Computer Technology Center (NECTEC), Pathumthani, 12120, Thailand.
  • Thidarut Laochai
    Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand.
  • Panlop Lormaneenopparat
    Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand.
  • Wiwittawin Sukmas
    Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand; Extreme Conditions Physics Research Laboratory and Center of Excellence in Physics of Energy Materials (CE:PEM), Department of Physics, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
  • Pranee Rattanawaleedirojn
    Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand; Center of Excellence in Responsive Wearable Materials, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand.
  • Pumidech Puthongkham
    Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand. Pumidech.P@chula.ac.th.
  • Pranut Potiyaraj
    Center of Excellence in Responsive Wearable Materials, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand; Department of Materials Science, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
  • Worapong Leewattanakit
    Faculty of Commerce and Accountancy, Chulalongkorn University, Bangkok, 10330, Thailand.
  • Nadnudda Rodthongkum
    Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand; Center of Excellence in Responsive Wearable Materials, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand. Electronic address: Nadnudda.R@chula.ac.th.

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