Design of a Sandwich Hierarchically Porous Membrane with Oxygen Supplement Function for Implantable Glucose Sensor

Design of a Sandwich Hierarchically Porous Membrane with Oxygen Supplement Function for Implantable Glucose Sensor
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具有补氧功能的植入式血糖传感器三明治分层多孔膜的设计

DOI:
10.3390/app10082848
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发表时间:
2020-04
影响因子:
2.7
通讯作者:
Zhou Jiawen
Zhou Jiawen
中科院分区:
综合性期刊4区
文献类型:
--
作者:
Huang Lijuan;Jia Ziru;Liu Hongying;Pi Xitian;Zhou Jiawen

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为了提高植入式葡萄糖传感器的性能,本研究旨在开发一种夹在多个多孔型聚氨酯(PU)之间的氧再生层。将铂纳米颗粒、Nafion、葡萄糖氧化酶和具有补氧功能的三明治多孔膜(SHPM-OS)涂覆在电极上,制备了传感器。SHPM-OS由聚乙二醇和PU合成的分级多孔结构和覆盖在分级膜之间的过氧化氢酶(CAT)层组成,用于平衡葡萄糖传感器的灵敏度和线性度,以及在监测过程中减少缺氧的影响。与传统的无孔传感器(35.95nA/mm,0.9987)和单孔传感器(45.3nA/mm,0.9610)相比,SHPM-OS传感器的灵敏度和线性度分别为98.45nA/mm和0.9989,具有更高的灵敏度和线性度。该传感器的响应速度为5s,前10天的相对灵敏度为90%,第20天的相对灵敏度仍为78%。该传感器对葡萄糖浓度的变化具有快速的响应,同时在较长的监测时间内保持高的线性。因此,它可以降低后端硬件模块开发的难度,并有助于糖尿病患者有效的血糖自我管理。
This study aims to develop an oxygen regeneration layer sandwiched between multiple porous polyurethanes (PU) to improve the performance of implantable glucose sensors. Sensors were prepared by coating electrodes with platinum nanoparticles, Nafion, glucose oxidase and sandwich hierarchically porous membrane with an oxygen supplement function (SHPM-OS). The SHPM-OS consisted of a hierarchically porous structure synthesized by polyethylene glycol and PU and a catalase (Cat) layer that was coated between hierarchical membranes and used to balance the sensitivity and linearity of glucose sensors, as well as reduce the influence of oxygen deficiency during monitoring. Compared with the sensitivity and linearity of traditional non-porous (NO-P) sensors (35.95 nA/mM, 0.9987, respectively) and single porous (SGL-P) sensors (45.3 nA /mM, 0.9610, respectively), the sensitivity and linearity of the SHPM-OS sensor was 98.45 nA/mM and 0.9989, respectively, which was more sensitive with higher linearity. The sensor showed a response speed of five seconds and a relative sensitivity of 90% in the first 10 days and remained 78% on day 20. This sensor coated with SHPM-OS achieved rapid responses to changes of glucose concentration while maintaining high linearity for long monitoring times. Thus, it may reduce the difficulty of back-end hardware module development and assist with effective glucose self-management for people with diabetes.
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