Using Sub-Micron Spiral Microfluidics and Genetic Programming towards Enhancing Urine-based Glucose Analysis

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@InProceedings{Zulu:2023:SICE,

• author = "Ananias Cyrus Zulu and Victor Parque and Mahmoud Soliman and Ahmed M. R Fathelbab",
• booktitle = "2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE)",
• title = "Using Sub-Micron Spiral Microfluidics and Genetic Programming towards Enhancing Urine-based Glucose Analysis",
• year = "2023",
• pages = "1303--1308",
• abstract = "Improving the accuracy and precision of light spectroscopy-based non-invasive methods for analysing glucose in urine samples is critical to enabling comfortable, affordable, and robust approaches to diagnosing diabetes. In this paper, we study the feasibility of using spiral microfluidics in studying the separation efficiency in urine simulations. Our results through computational simulations and hardware experiments with sub-micron microfluidics show: (1) the reasonable separation of glucose/urea at 79percent glucose separation efficiency, (2) the possibility of relating flow rate and glucose/urea concentration in a closed mathematical form by using Genetic Programming machinery, and (3) the feasibility to render the quasi-linear pattern/relation between glucose concentration and absorbance, which is potential to aid in providing higher/targeted concentrations of glucose for other non-invasive testing approaches, e.g., light spectroscopy.",
• keywords = "genetic algorithms, genetic programming, Performance evaluation, Spectroscopy, Spirals, Computational modelling, Mathematical models, Hardware, Infrared, Near Infrared (NIR), Microfluidics, Spectroscopy, Particle Separation, Glucose Measurements",
• DOI = "doi:10.23919/SICE59929.2023.10354180",
• month = sep,
• notes = "Also known as \cite{10354180}",

}

Genetic Programming entries for Ananias Cyrus Zulu Victor Parque Mahmoud Soliman Ahmed M R Fathelbab

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