Modelling Bacterial Growth for Applying Photodynamic Therapy with Indocyanine Green
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Sähkötekniikan korkeakoulu |
Master's thesis
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Authors
Date
2018-03-26
Department
Major/Subject
Control, Robotics and Autonomous Systems
Mcode
ELEC3025
Degree programme
AEE - Master’s Programme in Automation and Electrical Engineering (TS2013)
Language
en
Pages
56+10
Series
Abstract
Antimicrobial approaches using photodynamic therapy (PDT) have become popular in medication. However, to the best of our knowledge, no model has been developed for estimating the dose of light and photosensitiser with respect to bacterial inhibition. This thesis aims to model the growth of Escherichia coli which can be utilised in developing the aforementioned model when using PDT with near-infrared (NIR) light and indocyanine green (ICG). The project applied a spectroscopic method to measure the spectra of bacteria and chemometric methods to analyse the spectral data. The project consists of two main phases. The first phase conducted two phantoms to develop a measurement system and identify the possibility of utilising the system in controlled conditions. The first phantom analysed the spectra of LED lights. The second phantom determined the concentrations of different colour liquids. In the second phase, bacterial suspension was subjected to spectral analysis using the developed system. As a result of the whole project, a model has been established in order to monitor and estimate the concentrations of bacteria in liquid samples.Description
Supervisor
Zenger, KaiThesis advisor
Alander, JarmoKeywords
modelling, bacteria, principal component analysis, partial least squared regression