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We report the coupling of dynamic light scattering (DLS) in microfluidics, using a contact-free fibre-optic system, enabling the under-flow characterisation of a range of solutions, dispersions, and structured fluids. The system is evaluated and validated with model systems, specifically micellar and (dilute) polymer solutions, and colloidal dispersions of different radii (∼1-100 nm). A systematic method of flow-DLS analysis is examined as a function of flow velocity (0-16 cm s), and considerations of the relative contribution of 'transit' and 'Brownian' terms enable the identification of regions where (i) a quiescent approximation suffices, (ii) the flow-DLS framework holds, as well as (iii) where deviations are found, until eventually (iv) the convection dominates. We investigate practically relevant, robust setups, namely that of a capillary connected to microdevice, as well as direct measurement on a glass microdevice, examining the role of capillary dimensions and challenges of optical alignment. We conclude with a demonstration of a continuous flow measurement of a binary surfactant/salt solution, whose micellar dimensions vary with composition, characterised with hundreds of data points (every ∼5 s) and adequate statistics, within a few minutes.
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http://dx.doi.org/10.1039/d3lc00062a | DOI Listing |
Mol Divers
September 2025
State Key Laboratory Basis of Xinjiang Indigenous Medicinal Plants Resource Utilization, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, Xinjiang, China.
Aurora kinases are a group of serine/threonine kinases essential for cell mitosis, comprising Aurora A, B, and C. However, the Aurora B is overexpressed in multiple tumors and the aurone has been proved to exhibit potent inhibitory activity against Aurora B kinase by our group. The indolinone was considered as an aurone scaffold hopping analog, and the indolinone-based Aurora B inhibitor library (3577 molecules) was constructed by FBDD strategy.
View Article and Find Full Text PDFJ Synchrotron Radiat
November 2025
Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
Synchrotron light sources are powerful platforms for cutting-edge, multidisciplinary research, with dozens currently in operation, construction or commissioning worldwide. It is widely recognized that different research areas have specific demands for source capabilities. For the majority of synchrotron facilities, delivering high-brightness, high-flux synchrotron radiation stably through high-current electron beams is the primary mode of operation.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
School of Materials Science and Engineering, Changchun University of Science and Technology, Changchun 130022, People's Republic of China.
Inverted quantum dot light-emitting diodes (QLEDs) show great promise for next-generation displays due to their compatibility with integrated circuit architectures. However, their development has been hindered by inefficient exciton utilization and charge transport imbalance. Here, we present a strategy for regulating charge-exciton dynamics through the rational design of a multifunctional hole transport layer (HTL), incorporating polyethylenimine ethoxylated (PEIE) as a protective interlayer in fully-solution-processed inverted red QLEDs.
View Article and Find Full Text PDFChaos
September 2025
Instituto de Física, Universidade Federal de Alagoas, Maceió, Alagoas 57072-970, Brazil.
Neuronal heterogeneity, characterized by a multitude of spiking neuronal patterns, is a widespread phenomenon throughout the nervous system. In particular, the brain exhibits strong variability among inhibitory neurons. Despite the huge neuronal heterogeneity across brain regions, which in principle could decrease synchronization due to differences in intrinsic neuronal properties, cortical areas coherently oscillate during various cognitive tasks.
View Article and Find Full Text PDFAdv Mater
September 2025
Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, College of Electronic and Information Engineering, Hebei University, Baoding, 071002, China.
Neuromorphic Visual Devices hold considerable promise for integration into neuromorphic vision systems that combine sensing, memory, and computing. This potential arises from their synergistic benefits in optical signal detection and neuro-inspired computational processes. However, current devices face challenges such as insufficient light/dark resistance ratios, mismatched transient photo-response, and volatile retention characteristics, limiting their adaptability to complex artificial vision systems.
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