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Sensors 2016, 16(11), 1787;

Conducting Polymers and Their Applications in Diabetes Management

School of Electronic Science and Engineering, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China
Nanjing Foreign Language School, Nanjing 210008, China
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Giovanni Sparacino, Andrea Facchinetti and J. Hans DeVries
Received: 3 September 2016 / Revised: 10 October 2016 / Accepted: 24 October 2016 / Published: 26 October 2016
(This article belongs to the Special Issue Glucose Sensors: Revolution in Diabetes Management 2016)
PDF [4806 KB, uploaded 26 October 2016]


Advances in conducting polymers (CPs) have promoted the development of diabetic monitoring and treatment, which is of great significance in human healthcare and modern medicine. CPs are special polymers with physical and electrochemical features resembling metals, inorganic semiconductors and non-conducting polymers. To improve and extend their properties, the fabrication of CPs and CP composites has attracted intensive attention in recent decades. Some CPs are biocompatible and suitable for biomedical use. Thus, the intriguing properties of CPs make wearable, noninvasive, continuous diabetes managing devices and other potential applications in diabetes possible in the near future. To highlight the recent advances of CPs and their derived materials (especially in conducting polymer hydrogels), here we discuss their fabrication and characterization, review the current state-of-the-art research in diabetes management based on these materials and describe current challenges as well as future potential research directions. View Full-Text
Keywords: conducting polymers; glucose biosensor; diabetes; medical controlled release conducting polymers; glucose biosensor; diabetes; medical controlled release

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Zhao, Y.; Cao, L.; Li, L.; Cheng, W.; Xu, L.; Ping, X.; Pan, L.; Shi, Y. Conducting Polymers and Their Applications in Diabetes Management. Sensors 2016, 16, 1787.

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