A Continuous Gradient Colloidal Glass

Schöttle, Marius; Lauster, Tobias; Roemling, Lukas J.; Vogel, Nicolas; Retsch, Markus

doi:10.1002/adma.202208745

Cited by 9 publications

(4 citation statements)

References 51 publications

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“…[ 75 , 76 ] In turn, this will yield the development of advanced micro‐optofluidic systems for rapid and high‐throughput separation of blood with built‐in sample preparation and detection, in a single‐step as well as further functional substrates transferred to a variety of systems, where continuous gradients will provide novel physical insights and functionalities. [ 77 ] Overall, the fabricated SMART substrates demonstrated the ability to detect biomarkers within the TBI simulated plasma samples down to LoDs of 0.507 ± 0.033 pg mL −1 and EFs of (6.30 ± 0.12) × 10 9 When combined with the computational SkiNET algorithm, these distinguished each glycan‐biomarker from a complex bio‐mixture. The presence of the imprinted specific binding sites allowed the preferential binding of the TBI biomarker at the optimized micronano‐pillars thus, significantly enhancing the SERS signal.…”

Section: Resultsmentioning

confidence: 99%

Advanced Tuneable Micronanoplatforms for Sensitive and Selective Multiplexed Spectroscopic Sensing via Electro‐Hydrodynamic Surface Molecular Lithography

Gomes,

Hin‐Chu,

Rickard

et al. 2024

Advanced Science

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Micro‐ and nanopatterning of materials, one of the cornerstones of emerging technologies, has transformed research capabilities in lab‐on‐a‐chip diagnostics. Herein, a micro‐ and nanolithographic method is developed, enabling structuring materials at the submicron scale, which can, in turn, accelerate the development of miniaturized platform technologies and biomedical sensors. Underpinning it is the advanced electro‐hydrodynamic surface molecular lithography, via inducing interfacial instabilities produces micro‐ and nanostructured substrates, uniquely integrated with synthetic surface recognition. This approach enables the manufacture of design patterns with tuneable feature sizes, which are functionalized via synthetic nanochemistry for highly sensitive, selective, rapid molecular sensing. The development of a high‐precision piezoelectric lithographic rig enables reproducible substrate fabrication with optimum signal enhancement optimized for functionalization with capture molecules on each micro‐ and nanostructured array. This facilitates spatial separation, which during the spectroscopic sensing, enables multiplexed measurement of target molecules, establishing the detection at minute concentrations. Subsequently, this nano‐plasmonic lab‐on‐a‐chip combined with the unconventional computational classification algorithm and surface enhanced Raman spectroscopy, aimed to address the challenges associated with timely point‐of‐care detection of disease‐indicative biomarkers, is utilized in validation assay for multiplex detection of traumatic brain injury indicative glycan biomarkers, demonstrating straightforward and cost‐effective micro‐ and nanoplatforms for accurate detection.

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Section: Resultsmentioning

confidence: 99%

Advanced Tuneable Micronanoplatforms for Sensitive and Selective Multiplexed Spectroscopic Sensing via Electro‐Hydrodynamic Surface Molecular Lithography

Gomes,

Hin‐Chu,

Rickard

et al. 2024

Advanced Science

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“…Thus, the self-assembly of these colloidal particles provides a facile approach to producing nanostructured materials with tailored properties. If sufficiently stable and nearly monodisperse particles are used, ordered three-dimensional arrangements, termed colloidal crystals, are formed. , Such structures exhibit in brilliant, iridescent colors, ,,, mimicking their natural analogue, the opal gemstone. − In contrast, when polydisperse or destabilized particle dispersions are used, less intense, angle-independent colors result. ,− …”

Section: Introductionmentioning

confidence: 99%

Quantitative Optical and Structural Comparison of 3D and (2+1)D Colloidal Photonic Crystals

et al. 2023

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Colloidal crystals are excellent model systems to study self-assembly and structural coloration because their periodicities coincide with the wavelength range of visible light. Different assembly methods inherently introduce characteristic defects and irregularities, even with nearly monodisperse colloidal particles. Here, we investigate how these imperfections influence the structural coloration by comparing two techniques to obtain colloidal crystals. 3D colloidal crystals produced by convective assembly are well-ordered and periodically arranged but show microscopic cracks. (2+1)D colloidal crystals fabricated by stacking individual monolayers show a decreased hexagonal order and limited crystal registration between single monolayers in the z-direction. We investigate the optical properties of both systems by comparing identical numbers of layers using correlative microspectroscopy. These measurements show that the less ordered (2+1)D colloidal crystals exhibit higher reflected light intensities. Macroscopic reflection integrating all angles shows that the reflected light intensity levels out with an increasing number of layers, whereas incoherent scattering increases. Although both types of colloidal crystal show similar angle-dependent color shifts in specular reflection, the less-ordered structure of the (2+1)D colloidal crystal scatters light within a larger angular range under diffusive illumination. Our results suggest that structural coloration is surprisingly robust toward local defects and irregularities.

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“…Continuous gradients in assemblies of microparticles are an emerging topic as well. [30][31][32] For example, structural analysis of the order to disorder transition has been shown via analytical ultracentrifugation. [33,34] However, an efficient platform tailored toward screening the optical properties of colloidal crystals and glasses has not been shown.…”

Section: Introductionmentioning

confidence: 99%

Microspectroscopy on Thin Films of Colloidal Mixture Gradients for Data‐Driven Optimization of Optical Properties

Schöttle

Theis

Lauster

et al. 2023

Advanced Optical Materials

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Thin films comprising mixtures of different colloids provide a simple approach to materials with tunable optical properties. However, the prediction of UV–vis spectra for different compositions in colloidal crystals and glasses is difficult. The degree of disorder, for example, determines whether the optical response is dominated by incoherent scattering, coherent scattering, or Bragg diffraction. Both the volume ratio, as well as the morphology of the individual constituents, influence the properties of the ensemble, which necessitates extensive screening procedures. Here, a method for expediting such a screening approach by means of gradient colloidal crystals and glasses is shown. Continuous composition gradients, combined with local microspectroscopy, allow for the characterization of the entire composition range with high reproducibility, thereby reducing the experimental effort. This is shown for a system of spherical polymer particles with different radii. An optimum of the scattering efficiency in the visible wavelength range is shown close to the order/disorder transition at the edge of the composition range. The high‐throughput screening method presented here can generate large data sets that may contribute to machine‐learning‐enabled optimization of self‐assembled optical materials.

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A Continuous Gradient Colloidal Glass

Abstract: The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/adma.202208745.

Cited by 9 publications

References 51 publications

Advanced Tuneable Micronanoplatforms for Sensitive and Selective Multiplexed Spectroscopic Sensing via Electro‐Hydrodynamic Surface Molecular Lithography

Advanced Tuneable Micronanoplatforms for Sensitive and Selective Multiplexed Spectroscopic Sensing via Electro‐Hydrodynamic Surface Molecular Lithography

Quantitative Optical and Structural Comparison of 3D and (2+1)D Colloidal Photonic Crystals

Microspectroscopy on Thin Films of Colloidal Mixture Gradients for Data‐Driven Optimization of Optical Properties

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