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Over the last decade nanoparticles are progressively included in products of our daily life. Due to their antimicrobial properties, silver nanoparticles are used in a high variety of consumer products ranging from food containers over medicine and textiles. Therefore, research on the toxicological potential of nanosilver becomes increasingly important. This includes investigations concerning uptake, distribution and excretion of the particles. However, little attention was paid to changes of physical and chemical properties of the particles in the human body. One of the most important questions is if the particles can pass the digestion process without altering their shape and size. In this study we report on a versatile system of ultra-small silver nanoparticles with a mean volume weighted radius of 3.1 nm and a narrow size distribution width of 20%. The nanoparticles’ coating of poly (acrylic acid) can easily be exchanged by biocompatible ligands like albumin or glutathione. The particles are thoroughly characterized by small angle X-ray scattering (SAXS), DLS, IR and UV/Vis spectroscopy. We used the particles in an artificial digestion procedure which mimics the gastro-intestinal passage (Figure 1). Thereby the changes in the size distribution during the digestion process were analytically monitored by SAXS. Additionally, we used as food components oil, starch, skimmed milk powder and mixture thereof to provide a preferably realistic environment. Large aggregates of up to 56 nm were formed in the absence of food additives. In contrast, the presence of oil and starch limit the radii of aggregates to about 10 nm. Milk powder shows strong protective properties resulting in only small aggregates of 6 nm radii. Our results indicate that silver can indeed pass the digestion process in a nanoscale form depending on the nanoparticle coating and additional ingredients. These results have an impact on future toxicological considerations regarding silver nanoparticle-containing consumer products.
Silver nanoparticles are one of the most widespread consumer related nanoparticles worldwide. Since the particles show special optical and antibacterial properties they are used for a wide range of applications from biological investigations over medical applications and catalysis. Especially the outstanding question of applicable alternatives for catalysts in diverse reactions can be addressed with the design of versatile system of small silver nanoparticles. In this study we present the synthesis and application of ultra-small silver nanoparticles with a narrow size distribution (R = 3.1 nm, σ = 0.6 nm). The particles are thoroughly characterized by small angle X-ray scattering, dynamic light scattering and UV/Vis spectroscopy. As a representative test reaction the reduction of 4-nitrophenol to 4-aminophenol was chosen. The particles show a catalytic activity of (436 ± 24) L g-1 s-1, which is two orders of magnitude higher than for other silver particles in the literature. The particles surrounding shell, composed of poly(acrylic acid), provides the particles with a good accessibility for the reactants. Since the catalytic activity strongly depends on the surrounding ligand, the particles shell can also be exchanged by other ligands enabling a tuning of the catalytic activity to a desired value. This shows the high flexibility of this system which can also be applied for other catalytic reactions.
Data correction is probably the least favourite activity amongst users experimenting with small-angle X-ray scattering: if it is not done sufficiently well, this may become evident only during the data analysis stage, necessitating the repetition of the data corrections from scratch. A recommended comprehensive sequence of elementary data correction steps is presented here to alleviate the difficulties associated with data correction, both in the laboratory and at the synchrotron. When applied in the proposed order to the raw signals, the resulting absolute scattering cross section will provide a high degree of accuracy for a very wide range of samples, with its values accompanied by uncertainty estimates. The method can be applied without modification to any pinhole-collimated instruments with photon-counting direct-detection area detectors.
In the present study, we applied a regularized inversion method to extract the particle size, magnetic moment and relaxation-time distribution of magnetic nanoparticles from small-angle x-ray scattering (SAXS), DC magnetization (DCM) and AC susceptibility (ACS) measurements. For the measurements the particles were colloidally dispersed in water. At first approximation the particles could be assumed to be spherically shaped and homogeneously magnetized single-domain particles. As model functions for the inversion, we used the particle form factor of a sphere (SAXS), the Langevin function (DCM) and the Debye model (ACS). The extracted distributions exhibited features/peaks that could be distinctly attributed to the individually dispersed and non-interacting nanoparticles. Further analysis of these peaks enabled, in combination with a prior characterization of the particle ensemble by electron microscopy and dynamic light scattering, a detailed structural and magnetic characterization of the particles. Additionally, all three extracted distributions featured peaks, which indicated deviations of the scattering (SAXS), magnetization (DCM) or relaxation (ACS) behavior from the one expected for individually dispersed, homogeneously magnetized nanoparticles. These deviations could be mainly attributed to partial agglomeration (SAXS, DCM, ACS), uncorrelated surface spins (DCM) and/or intra-well relaxation processes (ACS). The main advantage of the numerical inversion method is that no ad hoc assumptions regarding the line shape of the extracted distribution functions are required, which enabled the detection of these contributions. We highlighted this by comparing the results with the results obtained by standard model fits, where the functional form of the distributions was a priori assumed to be log-normal shaped.
The breadth of applications of nanoparticles and the access to food-associated consumer products containing nanosized materials lead to oral human exposure to such particles. In biological fluids nanoparticles dynamically interact with biomolecules and form a protein corona. Knowledge about the protein corona is of great interest for understanding the molecular effects of particles as well as their fate inside the human body. We used a mass spectrometry-based toxicoproteomics approach to elucidate mechanisms of toxicity of silver nanoparticles and to comprehensively characterize the protein corona formed around silver nanoparticles in Caco-2 human intestinal epithelial cells. Results were compared with respect to the cellular function of proteins either affected by exposure to nanoparticles or present in the protein corona. A transcriptomic data set was included in the analyses in order to obtain a combined multiomics view of nanoparticle-affected cellular processes. A relationship between corona proteins and the proteomic or transcriptomic responses was revealed, showing that differentially regulated proteins or transcripts were engaged in the same cellular signaling pathways. Protein corona analyses of nanoparticles in cells might therefore help in obtaining information about the molecular consequences of nanoparticle treatment.
Aluminum has gathered toxicological Attention based on relevant human exposure and its suspected hazardous potential. Nanoparticles from food supplements or Food contact materials may reach the human gastrointestinal tract.
Here, we monitored the physicochemical fate of aluminum containing nanoparticles and aluminum ions when passaging an in vitro model of the human gastrointestinal tract. Smallangle X-ray scattering (SAXS), transmission electron microscopy (TEM), ion beam microscopy (IBM), secondary ion beam mass spectrometry (TOF-SIMS), and inductively coupled plasma mass spectrometry (ICP-MS) in the singleparticle mode were employed to characterize two aluminumcontaining nanomaterials with different particle core materials (Al0, γAl2O3) and soluble AlCl3. Particle size and shape remained unchanged in saliva, whereas strong Agglomeration of both aluminum nanoparticle species was observed at low pH in gastric fluid together with an increased ion release. The levels of free aluminum ions decreased in intestinal fluid and the particles deagglomerated, thus liberating primary particles again. Dissolution of nanoparticles was limited and substantial changes of their shape and size were not detected. The amounts of particle-associated phosphorus, chlorine, potassium, and calcium increased in intestinal fluid, as compared to nanoparticles in standard dispersion.
Interestingly, nanoparticles were found in the intestinal fluid after addition of ionic aluminum. We provide a comprehensive characterization of the fate of aluminum nanoparticles in simulated gastrointestinal fluids, demonstrating that orally ingested nanoparticles probably reach the intestinal epithelium. The balance between dissolution and de novo complex formation should be considered when evaluating nanotoxicological experiments.
This paper presents the first worldwide inter-laboratory comparison of small-angle X-ray scattering (SAXS) for nanoparticle sizing. The measurands in this comparison are the mean particle radius, the width of the size distribution and the particle concentration. The investigated sample consists of dispersed silver nanoparticles, surrounded by a stabilizing polymeric shell of poly(acrylic acid). The silver cores dominate the X-ray scattering pattern, leading to the determination of their radius size distribution using (i) the generalized indirect Fourier transformation method, (ii) classical model fitting using SASfit and (iii) a Monte Carlo fitting approach using McSAS. The application of these three methods to the collected data sets from the various laboratories produces consistent mean number- and volume-weighted core radii of Rn = 2.76 (6) nm and Rv = 3.20 (4) nm, respectively. The corresponding widths of the lognormal radius distribution of the particles were σn = 0.65 (1) nm and σv = 0.71 (1) nm. The particle concentration determined using this method was 3.0 (4) g l−1 or 4.2 (7) × 10−6 mol l−1. These results are affected slightly by the choice of data evaluation procedure, but not by the instruments: the participating laboratories at synchrotron SAXS beamlines, commercial and in-house-designed instruments were all able to provide highly consistent data. This demonstrates that SAXS is a suitable method for revealing particle size distributions in the sub-20 nm region (at minimum), out of reach for most other analytical methods.
SAXS for the determination of the size distribution of nanoparticles: Application in catalysis
(2017)
The open source software packages SASfit1 and McSAS2 are widely used to determine the size distribution of nanoparticles. SASfit is based on classical curve fitting. The type of size distribution needs to be provided as constraint for analysis. Very often the lognormal size distribution is useful as shown for the characterization of single- and multimodal magnetic iron oxide particles. The use of SASfit is part of efforts to standardize analyzing methods for magnetic nanoparticles within the EU project NanoMag (www.nanomag-project.eu). In contrast to SASfit, it is not necessary to provide the type of size distribution when using the program McSAS. Both programs provide tools that allow the user to estimate uncertainties of the derived size distributions. Such is helpful in the development of nanoscale reference materials for environmental, health and safety measurements. As an example, a detailed study on using SAXS in the characterization of ultra-small-silver nanoparticles is presented. These particles are useful in the catalytic reduction of 4-nitrophenol and display an adjustable activity (see Figure).
Figure. Core-shell silver nanoparticles catalyze the reduction of 4-nitrophenol and display an increasing catalytic activity when stabilized with different ligands in the line bovine serum albumin (BSA), glutathione (GSH) and polyacrylic acid (PAA).5
Present data indicate that the quantification of silver nanoparticle internalization revealed a clear particle-specific and coatingrelated uptake. Furthermore, a high amount of silver nanoparticles is taken up in cell models of higher complexity. Thus, an underestimation of particle effects in vitro might be prevented by considering cell models with greater proximity to the in vivo situation.