28 research outputs found

    The study of atmospheric ice-nucleating particles via microfluidically generated droplets

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    Ice-nucleating particles (INPs) play a significant role in the climate and hydrological cycle by triggering ice formation in supercooled clouds, thereby causing precipitation and affecting cloud lifetimes and their radiative properties. However, despite their importance, INP often comprise only 1 in 10³–10⁶ ambient particles, making it difficult to ascertain and predict their type, source, and concentration. The typical techniques for quantifying INP concentrations tend to be highly labour-intensive, suffer from poor time resolution, or are limited in sensitivity to low concentrations. Here, we present the application of microfluidic devices to the study of atmospheric INPs via the simple and rapid production of monodisperse droplets and their subsequent freezing on a cold stage. This device offers the potential for the testing of INP concentrations in aqueous samples with high sensitivity and high counting statistics. Various INPs were tested for validation of the platform, including mineral dust and biological species, with results compared to literature values. We also describe a methodology for sampling atmospheric aerosol in a manner that minimises sampling biases and which is compatible with the microfluidic device. We present results for INP concentrations in air sampled during two field campaigns: (1) from a rural location in the UK and (2) during the UK’s annual Bonfire Night festival. These initial results will provide a route for deployment of the microfluidic platform for the study and quantification of INPs in upcoming field campaigns around the globe, while providing a benchmark for future lab-on-a-chip-based INP studies

    Antibody glycosylation as a potential biomarker for chronic inflammatory autoimmune diseases

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    Glycosylation of immunoglobulins (Ig) is known to influence their effector functions in physiological and pathological conditions. Changes in the glycosylation pattern of immunoglobulin G and autoantibodies in various inflammatory autoimmune diseases have been studied for many years. However, despite extensive research, many questions are still elusive regarding the formation of such differentially glycosylated antibodies and alterations of glycosylation patterns in other immunoglobulin classes for example. Nevertheless, knowledge has been deepened greatly, especially in the field of rheumatoid arthritis. Changes of Ig glycosylation patterns have been shown to appear before onset of the disease and moreover can subject to treatment. In this review, we discuss the potential of detecting Ig glycosylation changes as biomarkers for disease activity or monitoring of patients with chronic inflammatory autoimmune diseases such as antiphospholipid syndrome, rheumatoid arthritis, systemic lupus erythematosus, ANCA-associated vasculitis and Henoch-Schönlein purpura
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