Ensembles of protein aggregates are characterized by a nano-and micro-scale heterogeneity of the species. This diversity translates into a variety of effects that protein aggregates may have in biological systems, both in connection to neurodegenerative diseases and immunogenic risk of protein drug products. Moreover, this naturally occurring variety offers unique opportunities in the field of protein-based biomaterials. In the above-mentioned fields, the isolation and structural analysis of the different amyloid types within the same ensemble remain a priority, still representing a significant experimental challenge. Here we address such complexity in the case of insulin for its relevance as biopharmaceutical and its involvement in insulin-derived amyloidosis. By combining Fourier Transform Infrared Microscopy (micro-FTIR) and fluorescence lifetime imaging microscopy (FLIM) we show the occurrence, within the same ensemble of insulin protein aggregates, of a variable -structure architecture and content not only dependent on the species analyzed (spherulites or fibrils), but also on the position within a single spherulite at submicron scale. We unambiguously reveal that the surface of the spherulites are characterized by -structures with an enhanced H-bond coupling compared to the core. This information, inaccessible via bulk methods, allows us to relate the aggregate structure at molecular level to the overall morphology of the aggregates. Our findings robustly solve the problem of probing the ensemble and single particle heterogeneity of amyloid samples. Furthermore, they offer a unique, scalable and ready-to-use screening methodology for in-depth characterization of self-assembled structures, being this translatable to material sciences, drug quality control and clinical imaging of amyloid-affected tissues.

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Creatinine level in biological fluids is a clinically relevant parameter to monitor vital functions and it is well assessed that measuring creatinine levels in the human body can be of great utility to evaluate renal, muscular, or thyroid dysfunctions. The accurate detection of creatinine levels may have a critical role in providing information on health status and represents a tool for the early diagnosis of severe pathologies. Among different methods for creatinine detection that have been introduced and that are evolving with increasing speed, fluorescence-based and colorimetric sensors represent one of the best alternatives, thanks to their affordability, sensitivity and easy readability. In this work, we demonstrate that the fluorescein-Au3+ complex provides a rapid, selective, and sensitive tool for the quantification of creatinine concentrations in ranges typical of sweat and urine. UV-visible absorption, diffuse reflectance spectroscopy, steady state and time resolved fluorescence spectroscopy were used to shed light on the molecular mechanisms involved in the changes of optical properties, which underlie the multiplexed sensor analytical reply. Interestingly, sensing can be performed in solution or on solid nylon support accessing different physiological concentrations from micromolar to millimolar range. As a proof-of-concept, the nylon-based platform was used to demonstrate its effectiveness in creatinine detection on a solid and flexible substrate, showing its analytical colorimetric properties as an easy and disposable creatinine point-of-care test.

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