Raspberry Pi driven flow-injection system for electrochemical continuous monitoring platforms

Bruno Donato, Francesca Stradolini, Abuduwaili Tuoheti, F. Angiolini, D. Demarchi, G. Micheli, S. Carrara
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引用次数: 5

Abstract

The degree of interest in bio-sensing platforms brings to the forefront a corresponding need for effective testing of their capabilities. This necessity is even more crucial when examining the properties of a sensor for continuous monitoring of a concentration trend in time, before in vivo implementations. Moreover, in the framework of personalised medical practices, it is imperative to introduce a robust way to represent and parametrise the highly variable responses of human metabolism. The aim of this paper is to propose a novel solution for the design of an automatic flow-injection environment that can assess the performance of systems for continuous monitoring. The setup is also approved for successfully reproducing a paracetamol concentration trend in buffer solution.
树莓派驱动的电化学连续监测平台流动注射系统
对生物传感平台的兴趣程度带来了对其能力进行有效测试的相应需求。在体内实施之前,在检查传感器的特性以及时连续监测浓度趋势时,这种必要性更为重要。此外,在个性化医疗实践的框架中,引入一种鲁棒的方法来表示和参数化人体代谢的高度可变反应是势在必行的。本文的目的是提出一种新的解决方案来设计一个自动流动注射环境,可以评估系统的性能,以进行连续监测。该装置也被批准用于成功重现缓冲溶液中扑热息痛的浓度趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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