Applications of Advanced Materials for Non-Enzymatic Glucose Monitoring: From Invasive to the Wearable Device.

Zahra Golsanamlou, Mansour Mahmoudpour, Jafar Soleymani, Abolghasem Jouyban
Author Information
  1. Zahra Golsanamlou: Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
  2. Mansour Mahmoudpour: Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
  3. Jafar Soleymani: Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. ORCID
  4. Abolghasem Jouyban: Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. ORCID

Abstract

Diabetes mellitus (DM) is a global health problem leading to many complications and disabilities in life adjusting activities and even dead. Monitoring glucose levels is a key factor in diagnosis and management of DM. Conventional glucose sensors consisted of immobilized enzymes, are so susceptible to environmental conditions. In this way, nonenzymatic biosensors have attracted extensive attentions in many clinical diagnostics applications. To date, the finger pricking test is a common enzyme-based glucometer that is an invasive and inconvenient and may lead to infections in the injection sites. So, working on the possibility of cutaneous or subcutaneous insertion of devices as a noninvasive or minimally-invasive systems for continuous glucose controlling approaches through human biofluids (blood, perspiration, tears, saliva, etc.) have stimulated growing interest. This review summarizes recent nonenzymatic and noninvasive biofluids glucose monitoring systems which are highly resilience and stretchable to continuously adapt to body movements during common physical activity. Sensors are based on their constituent materials including carbon-based, metal nanoparticles, polymer, and hydrogel systems are classified for electrochemical, and optical glucose detection. Finally, we address the drawbacks and challenges of enzyme-free sensors which are aroused sustaining research passion to be used in point-of-care medical diagnostics applications.

Keywords

MeSH Term

Humans
Blood Glucose
Blood Glucose Self-Monitoring
Electrochemical Techniques
Wearable Electronic Devices
Biosensing Techniques
Glucose
Diabetes Mellitus

Chemicals

Blood Glucose
Glucose

Word Cloud

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