This thesis presents experimental work with the primary aim of developing new approaches for the detection and characterisation of nanoparticles via electrochemical methods. The first chapter introduces the fundamental aspects of electrochemistry while the second chapter discusses the need for nanoparticle detection methods and the nonelectrochemical and electrochemical techniques that are currently used in the measurement of nanoparticles. A novel way to quantify silver nanoparticles in aqueous solution is proposed via nanoparticle-electrode impact experiments. In this technique a suitably potentiostatted electrode is immersed in a nanoparticle solution so as to bring about the oxidation or reduction of a single nanoparticle upon its collision with the electrode surface. This “direct” nanoparticle impact technique is then employed to detect laboratory synthesised silver nanoparticles in seawater. It is further shown that this method is capable of sizing silver nanoparticles contained in a commercially available cleaning product. Commercial silver nanoparticles are subsequently monitored via a sticking and stripping technique where homemade gold electrodes fabricated from CDs are immersed in a seawater sample spiked with nanoparticles prior to stripping voltammetry. The reduction of hydrogen peroxide on the surface of silver nanoparticles impacting upon an electrode is also examined. This “indirect” nanoparticle detection method is shown to provide an accurate route to nanoparticle sizing. A Fickian model is subsequently proposed to describe nanoparticle transport to the substrate electrode in both direct and indirect nanoparticle detection techniques. The importance of determining the proportion of nanoparticles which adhere to the electrode surface upon impact is highlighted and the sticking coefficient of a gold nanoparticle at a carbon surface determined. This technique to monitor nanoparticle sticking is optimised by chemical modification of the substrate electrode in order to achieve a “sticky” surface improving the rate of silver nanoparticle sticking. Finally, the nanoparticle collision method is shown to be applicable to C₆₀ nanoparticles where their detection and sizing is achieved in non-aqueous conditions. The methods developed in this thesis make a significant contribution to the promising application of electrochemical techniques in the detection and characterisation of single nanoparticles.

There is great need of robust and high throughput techniques for accurately measuring the concentration of nanoparticles in a solution. Microarray imaging techniques using widely used to quantify the binding of labeled analytes to a functionalized surface. However, most approaches require the combined output of many individual binding events to produce a measurable signal, which limits the sensitivity of such assays at low sample concentrations. Although a number of high-NA optical techniques have demonstrated the capability of imaging individual nanoparticles, these approaches have not been adopted for diagnostics due complex instrumentation and low assay throughput. Alternatively, interferometric imaging techniques based on light scattering have demonstrated the potential for single nanoparticle detection on a robust and inexpensive platform. This dissertation focuses on the development of methods and infrastructure to enable the development of diagnostic assays using the Single Particle Interferometric Imaging Sensor (SP-IRIS). SP-IRIS uses a bright-field reflectance microscope to image microarrays immobilized on a simple reflective substrate, which acts as a common-path homodyne interferometer to enhance the visibility of nanoparticles captured near its surface. This technique can be used to detect natural nanoparticles (such as viruses and exosomes) as well as molecular analytes (proteins and nucleic acid sequences) which have been tagged with metallic nanoparticle in a sandwich assay format. Although previous research efforts have demonstrated the potential for SP-IRIS assays in a variety of applications, these studies have largely been focused on demonstrating theoretical proof of concept in a laboratory setting. In contrast, the effective use of SP-IRIS as a clinical diagnostic platform will require significant functional improvements in automation of assay incubation, instrument control, and image analysis. In this dissertation, we discuss the development of instrumentation and software to support the translation of SP-IRIS from manual laboratory technique into an automated diagnostic platform. We first present a collection of mechanical solutions to enable the real-time, in-solution imaging of nanoparticles in disposable microfluidic cartridges. Next, we present image analysis techniques for the detection of nanoparticle signatures within digital images, and discuss solutions to the unique obstacles presented by the ill-defined focal properties of homodyne interferometry. Finally, we present a particle tracking algorithm for residence time analysis of nanoparticle binding in real-time datasets. Collectively, these improvements represent significant progress towards the use of SP-IRIS as a robust and automated diagnostic platform. / 2019-07-02T00:00:00Z

Biological nanoparticles have enormous utility as well as potential adverse impacts in biotechnology, human health, and medicine. The physical and chemical properties of these nanoparticles have strong implications on their distribution, circulation, and clearance in vivo. Accurate morphological visualization and chemical characterization of nanoparticles by label-free (direct) optical microscopy would provide valuable insights into their natural and intrinsic properties. However, three major challenges related to label-free nanoparticle imaging must be overcome: (i) weak contrast due to exceptionally small size and low-refractive-index difference with the surrounding medium, (ii) inadequate spatial resolution to discern nanoscale features, and (iii) lack of chemical specificity. Advances in common-path interferometric microscopy have successfully overcome the weak contrast limitation and enabled direct detection of low-index biological nanoparticles down to single proteins. However, interferometric light microscopy does not overcome the diffraction limit, and studying the nanoparticle morphology at sub-wavelength spatial resolution remains a significant challenge. Moreover, chemical signature and composition are inaccessible in these interferometric optical measurements. This dissertation explores innovations in common-path interferometric microscopy to provide enhanced spatial resolution and chemical specificity in high-throughput imaging of individual nanoparticles. The dissertation research effort focuses on a particular modality of interferometric imaging, termed “single-particle interferometric reflectance (SPIR) microscopy”, that uses an oxide-coated silicon substrate for enhanced coherent detection of the weakly scattered light. We seek to advance three specific aspects of SPIR microscopy: sensitivity, spatial resolution, and chemical specificity. The first one is to enhance particle visibility via novel optical and computational methods that push optical detection sensitivity. The second one is to improve the lateral resolution beyond the system's classical limit by a new computational imaging method with an engineered illumination function that accesses high-resolution spatial information at the nanoscale. The last one is to extract a distinctive chemical signature by probing the mid-infrared absorption-induced photothermal effect. To realize these goals, we introduce new theoretical models and experimental concepts. This dissertation makes the following four major contributions in the wide-field common-path interferometric microscopy field: (1) formulating vectorial-optics based linear forward model that describes interferometric light scattering near planar interfaces in the quasi-static limit, (2) developing computationally efficient image reconstruction methods from defocus images to detect a single 25 nm dielectric nanoparticle, (3) developing asymmetric illumination based computational microscopy methods to achieve direct morphological visualization of nanoparticles at 150 nm, and (4) developing bond-selective interferometric microscopy to enable multispectral chemical imaging of sub-wavelength nanoparticles in the vibrational fingerprint region. Collectively, through these research projects, we demonstrate significant advancement in the wide-field common-path interferometric microscopy field to achieve high-resolution and accurate visualization and chemical characterization of a broad size range of individual biological nanoparticles with high sensitivity.