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- W2783019018 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." @default.
- W2783019018 created "2018-01-26" @default.
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- W2783019018 date "2017-10-01" @default.
- W2783019018 modified "2023-09-30" @default.
- W2783019018 title "Raspberry Pi driven flow-injection system for electrochemical continuous monitoring platforms" @default.
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- W2783019018 doi "https://doi.org/10.1109/biocas.2017.8325134" @default.
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