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Minimally invasive electrochemical continuous glucose monitoring sensors: Recent progress and perspective

  • Yuanyuan Zou
  • , Zhengkang Chu
  • , Jiuchuan Guo
  • , Shan Liu*
  • , Xing Ma*
  • , Jinhong Guo*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Diabetes and its complications are seriously threatening the health and well-being of hundreds of millions of people. Glucose levels are essential indicators of the health conditions of diabetics. Over the past decade, concerted efforts in various fields have led to significant advances in glucose monitoring technology. In particular, the rapid development of continuous glucose monitoring (CGM) based on electrochemical sensing principles has great potential to overcome the limitations of self-monitoring blood glucose (SMBG) in continuously tracking glucose trends, evaluating diabetes treatment options, and improving the quality of life of diabetics. However, the applications of minimally invasive electrochemical CGM sensors are still limited owing to the following aspects: i) invasiveness, ii) short lifespan, iii) biocompatibility, and iv) calibration and prediction. In recent years, the performance of minimally invasive electrochemical CGM systems (CGMSs) has been significantly improved owing to breakthrough developments in new materials and key technologies. In this review, we summarize the history of commercial CGMSs, the development of sensing principles, and the research progress of minimally invasive electrochemical CGM sensors in reducing the invasiveness of implanted probes, maintaining enzyme activity, and improving the biocompatibility of the sensor interface. In addition, this review also introduces calibration algorithms and prediction algorithms applied to CGMSs and describes the application of machine learning algorithms for glucose prediction.

Original languageEnglish
Article number115103
JournalBiosensors and Bioelectronics
Volume225
DOIs
StatePublished - 1 Apr 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biocompatible membranes
  • Calibration
  • Continuous glucose monitoring
  • Enzyme immobilization
  • Invasiveness
  • Prediction

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