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POINT-OF-CARE CLINICAL DIAGNOSIS USING MASS SPECTROMETRY SYSTEMRan Zou (5930504) 16 January 2019 (has links)
<p>Point
of care (POC) diagnosis is essential in personalized treatment to obtain
effective clinical outcomes when the patient is on site. And Mass spectrometry
(MS) system promotes the applications of rapid sampling ionization, which could
be a tool for fast disease determination. In this thesis, a miniature MS system
was firstly developed for POC tissue analysis. Lipid profile in rat organs were
demonstrated. By coupling with online Paternò–Büchi (PB) reaction, fast
determination of lipid C=C bond location isomers was realized. The system was
applied to quantitatively analyze the change of lipid C=C location isomers
between mouse normal and cancerous samples. The intensity ratio of fatty acid
18:1 (D9)
and 18:1 (D11)
in wild type breast tissue was calculated to be 2.881, while the ratio in tumor
breast tissue was 0.667. The direct sampling-based miniature MS system is
potential for POC analysis of lipid profiles and lipid biomarkers discovery.</p>
<p>Secondly,
an integration of paper-capillary spray and MS make it possible to analyze
dried blood samples instantly in clinical laboratory and hospital. Quantitation
of ratio between deuterate Phenylalanine and deuterate Tyrosine was achieved by
using paper spray and paper-capillary spray MS directly, without any
pretreatment of blood samples. Furthermore, these methods could generate
calibration curves which enable the calculation of Phenylalanine concentration
in whole human blood within 60 seconds. This disposable design is a promising
application for point-of-care (POC) PKU analysis in newborn screening. </p>
<p>At
last, an increased in free fatty acids (FFAs) of cereals was observed during
storage, and a simple and direct rice quality assessment was performed using nanoESI
(Nano-Electrospray Ionization) mass spectrometry method. Six fatty acids
including palmitic, oleic, and linoleic acids were compared between different
rice species, growth regions and harvest years. 2D and 3D linear discriminant
analysis (LDA) methods were deployed and a good sample separation was achieved.
This direct sampling method of extracting FAs from rice surface combined with
MS is suitable for industrial use in rapid identification for large number of
samples.</p>
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