The growing demand for detection and sensing in the biomedical field is placing higher demands on technology. In clinical testing, it is expected to be able to realize both rapid large-field imaging and analysis of single particles (or single molecules or single cells), and it is expected to be able to grasp both the unique individuality of single particles in time and space during the complex reaction process, as well as the regular correlation between single particles in the same population distribution. Supported and promoted by the theory of localized surface plasmon resonance (LSPR), dark-field microscopy, as a single-particle optical imaging technique with a very high signal-to-noise ratio, provides a powerful new means to address the above clinical detection needs. This review will focus on the innovative applications of dark-field microscopy in biomedical-related assays in the past five years, introducing the basic principles and listing the impressing works. We also summarize how dark-field microscopy has been combined with other techniques, including surface-enhanced Raman scattering, fluorescence, colorimetry, electrochemistry, etc., to witness the joint progress and promotion of detection methods in the future. It also provides an outlook on the current challenges and future trends in this field.
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http://dx.doi.org/10.1002/open.202400017 | DOI Listing |
Macromol Rapid Commun
December 2024
Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, St. Gallen, 9014, Switzerland.
Facemask materials have been under constant development to optimize filtration performance, wear comfort, and general resilience to chemical and mechanical stress. While single-use polypropylene meltblown membranes are the established go-to material for high-performing mask filters, they are neither sustainable nor particularly resistant to sterilization methods. Herein an in-depth analysis is provided of the sterilization efficiency, filtration efficiency, and breathing resistance of selected aerosol filters commonly implemented in facemasks, with a particular focus on the benefits of nanofibrous filters.
View Article and Find Full Text PDFSci Rep
December 2024
The Key Laboratory for Computer Systems of State Ethnic Affairs Commission, School of Computer and Artificial Intelligence, Southwest Minzu University, Chengdu, 610041, China.
Coronary artery disease represents a formidable health threat to middle-aged and elderly populations worldwide. This research introduces an advanced BP neural network algorithm, EPSOSA-BP, which integrates particle swarm optimization, simulated annealing, and a particle elimination mechanism to elevate the precision of heart disease prediction models. To address prior limitations in feature selection, the study employs single-hot encoding and Principal Component Analysis, thereby enhancing the model's feature learning capability.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Computer Science, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia.
The traditional optimization approaches suffer from certain problems like getting stuck in local optima, low speed, susceptibility to local optima, and searching unknown search spaces, thus requiring reliance on single-based solutions. Herein, an Improved Aquila Optimizer (IAO) is proposed, which is a unique meta-heuristic optimization method motivated by the hunting behavior of Aquila. An improved version of Aquila optimizer seeks to increase effectiveness and productivity.
View Article and Find Full Text PDFPDA J Pharm Sci Technol
December 2024
Clear Solutions Laboratories AG;
The detectability size threshold of visible particles (″visibility″ size) in the context of visual inspection of parenteral drug products has been an elusive target for several decades. The current common sense, also reflected in official guidelines, dictates that particles of different shapes and morphologies have different ″visibility″ size thresholds, that can range between hundreds and thousands of micrometers. This study demonstrates experimentally for the first time that it is possible to define a single, shape- and morphology- independent detectability size threshold, identical across particles of various types, provided that observation conditions and product attributes are kept constant.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
School of Health Sciences, Stopford Building, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Hypothesis: Nanoscale characterisation of the self-associated species formed by amphiphilic pharmaceuticals in aqueous solution carries relevance across their entire journey from development through to manufacture - relevant, therefore, not only as regards formulation of the drug products as medicines, but also potentially relevant to their bioavailability, activity, and clinical side effects. Such knowledge and understanding, however, can only be fully secured by applying a range of experimental and theoretical methodologies.
Experiments: Herein, we apply a synergistic combination of solubility, surface tension, SANS, NMR and UV spectroscopic studies, together with MD simulation and QM calculations, to investigate the meso-structures of propranolol hydrochloride aggregates in bulk aqueous solutions, at concentrations spanning 2.
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