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Nanometer- and micrometer-sized particles are of increasing importance for a wide range of applications in the material and life sciences. This includes carriers for, e.g., drugs as well as dye molecules for use as multichromophoric reporters for signal enhancement in optical assays, platforms for DNA sequencing, and the fabrication of nanosensors and targeted probes for bioimaging studies.
Application-relevant properties of such particles include their size (and size distribution), shape, colloidal stability, biocompatibility, and ease of subsequent functionalization, e.g., with linkers, sensor molecules, and targeting ligands. The latter requires knowledge of the number of groups effectively accessible for subsequent coupling reactions and hence, selective and sensitive methods of analysis, which can be ideally employed for the characterization of a broad variety of particle systems independent of their optical properties, i.e., scattering or the presence of encoding dyes. For product control, robust, reliable and fast methods performable with inexpensive equipment are prefered.
In this respect, we studied a variety of conventional labels for optical readout, utilizing changes in intensity and/or color of absorption and/or emission. In addition, we developed a platform of cleavable and multimodal labels for optical assays which consist of a cleavable linker and an optically active reporter moiety. In contrast to conventional reporters measured directly at the particle surface, which are prone to signal distortions by scattering and encoding dyes, these cleavable labels can be detected colorimetrically or fluorometrically both bound at the particle surface and after quantitative cleavage of the linker in the transparent supernatant. Moreover, they enable straightforward validation by method comparison with elemental analysis, ICP-OES or ICP-MS.
Here, we present representative examples of newly synthesized cleavable labels and their application for the quantification of amino, thiol and carboxy surface groups on different nanomaterials and compare these results with measurements using conventional optical labels.
Colloidal metalorganic frameworks as novel biofunctional nanoparticles for immunoassay applications
(2017)
Metal-organic framework (MOF) colloids have unique features that render them ideal signalling agents for realizing advanced immunoassay-based detection systems. MOFs are porous coordination polymers of metal nodes and organic linkers. The pore size of MOFs can be engineered and tailored to allow specific host (MOF) and guest (analyte) interactions. The particle sizes of the colloidal MOF can be tailored by employing methods from colloidal chemistry in wet synthesis. The adaption of established Layer-by-Layer polyelectrolyte coating protocols [1] allows equipping colloidal MOF particles with a nanometer thin polyelectrolyte membrane. This polyelectrolyte membrane serves as an interface for antibody binding. These biofunctional MOF nanoparticles have shown a strong immuno-binding that is sufficient for solid state immunoassays. Our current research addresses the design of luminescence encoded colloidal particle libraries by adjusting the ratios of e.g. Terbium (green) and Europium (red) metal nodes in mixed lanthanide based MOF-76. These mixed lanthanide MOF-76 particles are envisioned to allow multiplexed immuno-detection of endocrine disruptors such as bisphenol A.
In addition we investigate the detection of analytes that do not allow the production of antibodies due to their inherent properties. Such “difficult analytes” have a strong hydrophobicity or are very small or highly toxic molecules. One example is the common plasticizer dioctylphthalate that is also a potent endocrine disruptor. MOF colloids can address this issue by specific host (MOF) : guest (analyte) interactions that result in analyte-specific colour change or exciplex-based fluorescence emission. Our overall aim is to develop methodologies that allow parallel sensing of two endocrine disruptors (e.g. bisphenol A & phthalates) by simultaneous immuno-detection and MOF:analyte specific interactions.
Coating, stabilization layers, functionalization of particles or simple contamination are common variants of a core-shell system. For smaller nanoparticles this is of major importance. A particle with 16 nm diameter and a usual surface layer of 2 nm will have the same volume for the core as for the shell. In this case the material of the particle doesn’t have a clear definition. It is a common case that a particle consists of four different layers: Core, shell, stabilization layer and contamination. The properties of the particles differ according to this structure. For example silver particles might have a different dissolution rate for pure particles and for particles which are grown on top of a core.
Different solubility or defined other properties of materials is a common reason for producing core-shell systems. Gold cores are surrounded by silica to stabilize them or to get a defined distance between the cores. Silica might be surrounded by gold and the silica dissolved afterwards. This delivers hollow shells. Another important example for core-shell systems are quantum dots. A small core is surrounded by a different material for increasing the photoluminescence. Furthermore there a stabilization layer is needed. The smallest part of the final particles is the initial core. The photoluminescence is based on this core, but the shells contain much more material. Categorization should address this.
Core-shell systems are not covered by most of the existing decision trees for grouping. They are either regarded as special case or a singular layer. This disqualifies core-shell systems for grouping within the common models. There might be a very easy way to avoid this problem and even to combine some of the different decision trees. Starting the decision tree with the solubility of the outer shell and subsequently addressing the inner layers will be a pragmatic approach to solve the problem. If there is no shell, the categorization can start with a tiered approach or with the proposed “stawman” chemical categorization. If a shell is covering the surface there is a need to check if the shell is stable. If it is stable, the particle can be categorized based on this shell. If it is soluble, the ions need to be addressed as in the classic case. Furthermore the shell might increase the uptake by the cells. If the ions and the uptake are not critical the categorization can continue with the next layer.
With this not perfect but pragmatic approach, the surface layers can be addressed with very limited additional efforts. Most criteria are based on classically tabulated data. Including a rating system like the precautionary matrix approach might even address the fact that some parameters are not always Yes/No, e.g. solubility, ion toxicity and uptake.
The progress in the VAMAS Project #15" Measurement of particle size and shape distribution of bipyramidal titania including deposition from liquid suspension" within TWA 34 Nanoparticle Populations is presented with highlight of the following points:
- Determine and compare particle size and shape distribution by means of:
• electron microscopy (SEM, TEM, STEM-in-SEM)
• atomic force microscopy (AFM)
• small angle X-ray scattering (SAXS)
- Determine uncertainty induced by deposition protocol from liquid suspension with comparison to known values from a prior ILC with already deposited nanoparticles on TEM grids.
- Provide comparative validation of protocols for the techniques other than TEM.
The progress of the VAMAS Project 16 "Measurement of (relative) number concentration of bimodal silica nanoparticles including deposition from liquid suspension" in TWA 34 Nanoparticle Populations is presented. Follwowing points are discusssed:
- Validate the performance of imaging methods to measure the relative number concentration
• electron microscopy (SEM, TEM) and atomic force microscopy (AFM)
• two modes of bimodal (30 and 60 nm) silica nanoparticles
- Validate the performance of small angle X-ray scattering (SAXS) for the traceable measurement of the number concentration of the two modes.
The analysis of nanomaterials is currently an important task - especially in case of risk assessment – as the properties of these material class are not well understood. The rather high surface area of these objects renders their interactions significantly different to their corresponding bulk. Thus, the surface’s chemical composition must be investigated to get a better understanding and prediction of the nanomaterials’ behavior. ToF-SIMS and XPS have proven to be powerful tools to determine the general chemical composition. The superior surface sensitivity of ToF-SIMS furthermore allows us to study mainly the utmost atomic layers and thus gives us an idea of the interactions involved.
Here, we present initial data on the analysis of Hyflon®-polystyrene core-shell nanoparticles which can be used as a model system due to the known preparation and a rather good chemical as well as physical separation of core and shell. Furthermore, results on Au nanoparticles with and without an antibody shell are presented. Principle component analysis (PCA) will be used to detect the influence of sample preparation and for a better separation of different samples. ToF-SIMS imaging is desired to be implemented for single particle detection as well.