Interstitial fluid transdermal extraction tool based on microfluidics technology

Hai-xia, 于海霞 Yu; Da-chao, 栗大超 Li; Tong-kun, 刘同坤 Liu; Kexin, 徐可欣 Xu

doi:10.3788/ope.20111903.0651

Cited by 3 publications

(1 citation statement)

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“…Nowadays, there are several methods that can harvest interstitial fluid, such as anti-iontophoresis technology, ultrasound penetration technology, micro-needle arrays, micro-laser ablation method, micro-dialysis and ultrafiltration (UF) extraction technology [7][8][9][10][11][12][13].Among them, In vivo ultrafiltration (UF) collects a filtrate of body fluids by applying negative pressure as a driving force. UF is a kind of simple and convenient in vivo sampling method without configuration of liquid pump.…”

Section: Introductionmentioning

confidence: 99%

A Micromachined Glucose Monitoring Sensor with Diffusion Control

Liu

Song²,

Yao

et al. 2014

KEM

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Considering the long-term, flexible blood glucose monitoring demand, a sensor monitoring system for interstitial fluid (ISF) ultrafiltration sampling and on-line monitoring of blood glucose is presented. In this paper, the glucose sensor chip used in this system will be introduced in detailed. This sensor chip was developed by MEMS technique and it has the advantages of less ISF consumption, smaller structures and easier integration. Otherwise, the silicon glucose sensor chip is provided with diffusion control of the analyte through a porous silicon membrane into a silicon etched cavity containing the agarose immobilised enzyme. First, glucose monitoring principle of this sensor system will be intrudouced briefly. Then, this paper focuses on the design and fabrication of the key component, which is the MEMS sensor chip with diffusion control. Finally, experiments were carried out, and results show that the sensor chips signal response time at increasing glucose concentrations is about 5s; The linear range is large enough to cover the required broad area of blood glucose (0.2 ~ 20 mmol / L), the sensitivity is 9.76 nA/mmol.L-1, and the correlation coefficient is 0.9954. In addition, experiments results of sensor chip with different pore membrane were compared with each other. We can see that different measuring range and sensitivity can be obtained, which agrees with the theoretical analysis.

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