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Wide-range X-ray scattering datasets and analyses for all samples described in the 2020 publication "Gold and silver dichroic nanocomposite in the quest for 3D printing the Lycurgus cup". These datasets are composed by combining multiple small-angle x-ray scattering and wide-angle x-ray scattering curves into a single dataset. They have been analyzed using McSAS to extract polydispersities and volume fractions. They have been collected using the MOUSE project (instrument and methodology).
In contrast to the crisp, clear images you can get from electron microscopy, small-angle X-ray scattering (SAXS) patterns are rather featureless. These patterns, however, contain averaged structural information of all of the finest material structures that were illuminated by the X-ray beam. With careful and precise investigation, and supplementary information from complementary techniques, this bulk material structure can be quantified to reveal structural information spanning four or even five decades in size. Additionally, while the data correction and analysis is complex, sample preparation is very straightforward, also allowing for in-situ and operando measurements to be performed without breaking a sweat. In the right hands, then, this technique can be the most powerful tool in your analytical arsenal.
Healable materials could play an important role in reducing the environmental footprint of our modern technological society through extending the life cycles of consumer products and constructions. Future technologies require smart materials with advanced properties including responsiveness to external stimuli and particularly the ability to autonomously repair inflicted damage. The introduction of reversible connections in the polymer architecture, either in a non-covalent fashion, such as in supramolecular polymers, or by using dynamic covalent chemistry. One facile approach involves the implementation of reversible polymer networks as they offer high mechanical strength and thermal properties that are readily modified by the nature of the connecting dynamic bonds and the crosslinking density. In this context, small-angle scattering allows a detailed insight into the network structure of self-healing polymers either in bulk materials or in form of hydrogels. Here we report on how small-angle scattering can contribute to reveal the network structure. A first example is the conditional repair by locally switching the thermal healing capability of dynamic covalent polymers with light.
Typical experimental SAXS curves of a photo- and thermal switchable polymer are shown. The scattering pattern show three characteristics. Region 1 is dominated by a forward scattering interpreted as resultant from large scale inhomogeneities of the bulk polymers (characterized by a first correlation length). The second scattering contribution can be interpreted as resultant from the network and is characterized by its entanglement distance. The mesh size of this network can be described by a second correlation length. Region 3 of the scattering pattern is dominated by a broad peak. Taking all effects into account, we approximate the total scattering as a sum of the three scattering contributions. In particular, the Debye-Büche function is used for I1 the Ornstein-Zernike function for the crosslinking contribution I2 and a Lorentzian peak function.
We discussed this simple and more sophisticated approaches for revealing network structures. Examples of studies from hydrogel networks are provided as important materials with polymeric networks in life science applications. Finally, the determination of mesh size distributions as a function of temperature, time and healing efficiency is discussed in detail.
The elucidation of mechanisms underlying the cellular uptake of nanoparticles (NPs) is an important topic in nanotoxicological research. Most studies dealing with silver NP uptake provide only qualitative data about internalization efficiency and do not consider NP-specific dosimetry. Therefore, we performed a comprehensive comparison of the cellular uptake of differently coated silver NPs of comparable size in different human intestinal Caco-2 cell-derived models to cover also the influence of the intestinal mucus barrier and uptake-specialized M-cells. We used a combination of the Transwell system, transmission electron microscopy, atomic absorption spectroscopy, and ion beam microscopy techniques. The computational in vitro sedimentation, diffusion, and dosimetry (ISDD) model was used to determine the effective dose of the particles in vitro based on their individual physicochemical characteristics. Data indicate that silver NPs with a similar size and shape show coating-dependent differences in their uptake into Caco-2 cells. The internalization of silver NPs was enhanced in uptake-specialized M-cells while the mucus did not provide a substantial barrier for NP internalization. ISDD modeling revealed a fivefold underestimation of dose–response relationships of NPs in in vitro assays. In summary, the present study provides dosimetry-adjusted quantitative data about the influence of NP coating materials in cellular uptake into human intestinal cells. Underestimation of particle effects in vitro might be prevented by using dosimetry models and by considering cell models with greater proximity to the in vivo situation, such as the M-cell model.