Methods of fluid actuation were explored to allow delayed delivery of fluidic reagents in multistep detection lateral flow assays (LFAs). Certain hydrophobic materials such as wax were successfully implemented in the LFA with the use of precision dispensed valves. Sublimating materials such as naphthalene were also characterized along with the implementation of a heating system for precision printing of the valves.
Various techniques of blood fractionation were also investigated and this work demonstrates successful blood fractionation in an LFA. The fluid flow of reagents was also characterized and validated with the use of mathematical models and multiphysics modeling software. Lastly intuitive, user-friendly mobile and desktop applications were developed to interface the underlying Arduino software. The work advances the development of a system which successfully integrates all components of fluid separation and delivery along with highly sensitive detection and a user-friendly interface; the system will ultimately provide clinically significant diagnostics in a of point-of-care device.
As another approach to improve CHD treatment, this study sought the possibility of performing a proteomic analysis on cardiac ECM of pediatric CHD patient tissue. As the ECM play important roles in regulating cell signaling, there is an increasing interest in studying the ECM proteome and the influences caused by diseases. Proteomics on ECM is challenging due to the insoluble nature of ECM proteins which makes protein extraction and digestion difficult. In this study, as a first step to perform proteomics, optimization on sample preparation procedure was attempted.
Growing interest in using volatile organic compounds (VOCs) as markers of biological function and health has highlighted the need for a standardized method to analyze gas metabolites released by biological organisms. Non-destructive VOC collection techniques have emerged, allowing researchers to study diseases over time without compromising the sample. However, continuous sampling is often not performed, and previous systems have not undergone rigorous testing. To overcome current limitations, we developed a gas flow-based device and tested it for consistent headspace sweeping, cell viability and morphology, and detection accuracy. The results showed that the device offers a high degree of reproducibility, and our modeling shows that laminar flow conditions are maintained at experimental gas flow rates, ensuring consistent headspace sweeping. Furthermore, our modular design allowed us to adjust the temperature and input gas, allowing us to maintain a favorable environment for cell culture. Isotopic labeling and heavy VOC production confirmed that the system achieves sufficient sensitivity and reproducibility to monitor metabolic changes across time. This comprehensive evaluation demonstrates that our flow-based device has great potential in further research and subsequent clinical applications.
Advancing the understanding and treatment of many neurological disorders can be achieved by improving methods of neuronal detection at increased depth in the mammalian brain. Different cell subtypes cannot be detected using non-invasive techniques beyond 1 mm from cortical surface, in the context of targeting particular cell types in vivo (Wang, 2012). These limitations in the depth of imaging and targeting are due to optical scattering (Ntziachristos, 2010). In order to overcome these restrictions, longer wavelength fluorescent proteins have been utilized by researchers to see tagged cells at depth. Optical techniques such as two-photon and confocal microscopy have been used in combination with fluorescent proteins to expand depth, but are still limited by the penetration depth of light due to optical scattering (Lee, 2015). This research aims to build on other detection methods, such as the photoacoustic effect and automated fluorescence-guided electrophysiology, to overcome this limitation.