Using Sub-Micron Spiral Microfluidics and Genetic Programming towards Enhancing Urine-based Glucose Analysis
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Zulu:2023:SICE,
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author = "Ananias Cyrus Zulu and Victor Parque and
Mahmoud Soliman and Ahmed M. R Fathelbab",
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booktitle = "2023 62nd Annual Conference of the Society of
Instrument and Control Engineers (SICE)",
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title = "Using Sub-Micron Spiral Microfluidics and Genetic
Programming towards Enhancing Urine-based Glucose
Analysis",
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year = "2023",
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pages = "1303--1308",
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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.",
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keywords = "genetic algorithms, genetic programming, Performance
evaluation, Spectroscopy, Spirals, Computational
modelling, Mathematical models, Hardware, Infrared,
Near Infrared (NIR), Microfluidics, Spectroscopy,
Particle Separation, Glucose Measurements",
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DOI = "doi:10.23919/SICE59929.2023.10354180",
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month = sep,
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notes = "Also known as \cite{10354180}",
- }
Genetic Programming entries for
Ananias Cyrus Zulu
Victor Parque
Mahmoud Soliman
Ahmed M R Fathelbab
Citations