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从传统葡萄糖监测系统看智能生物传感器的技术路线图。

A technology roadmap of smart biosensors from conventional glucose monitoring systems.

作者信息

Shende Pravin, Sahu Pratiksha, Gaud Ram

机构信息

Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's, NMIMS University, Mumbai, India.

出版信息

Ther Deliv. 2017 Jun;8(6):411-423. doi: 10.4155/tde-2017-0012.

Abstract

The objective of this review article is to focus on technology roadmap of smart biosensors from a conventional glucose monitoring system. The estimation of glucose with commercially available devices involves analysis of blood samples that are obtained by pricking finger or extracting blood from the forearm. Since pain and discomfort are associated with invasive methods, the non-invasive measurement techniques have been investigated. The non-invasive methods show advantages like non-exposure to sharp objects such as needles and syringes, due to which there is an increase in testing frequency, improved control of glucose concentration and absence of pain and biohazard materials. This review study is aimed to describe recent invasive techniques and major noninvasive techniques, viz. biosensors, optical techniques and sensor-embedded contact lenses for glucose estimation.

摘要

这篇综述文章的目的是聚焦于从传统葡萄糖监测系统发展而来的智能生物传感器技术路线图。使用市售设备估算葡萄糖需要分析通过手指采血或从前臂取血获得的血样。由于侵入性方法会带来疼痛和不适,因此人们对非侵入性测量技术进行了研究。非侵入性方法具有诸如无需接触针头和注射器等尖锐物体的优点,因此可提高检测频率、更好地控制葡萄糖浓度,并且不会产生疼痛和生物危害物质。本综述研究旨在描述近期的侵入性技术和主要的非侵入性技术,即用于葡萄糖估算的生物传感器、光学技术和嵌入传感器的隐形眼镜。

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