Despite the existing effective treatment methods, tuberculosis (TB) is the second most deadly infectious disease, its carriers in the latent and active phases accounting for more than 20% of the world population. An effective method for controlling TB and reducing TB mortality is regular population screening aimed at diagnosing the latent form of TB and taking preventive and curative measures. Numerous methods allow diagnosing TB by directly detecting () biomarkers, including DNA, proteins, and specific metabolites or antibodies produced by the host immune system in response to PCR, ELISA, immunofluorescence and immunochemical analyses, flow cytometry, and other methods allow the detection of biomarkers or the host immune response to by recording the optical signal from fluorescent or colorimetric dyes that are components of the diagnostic systems. Current research in biosensors is aimed at increasing the sensitivity of detection, a promising approach being the use of fluorescent quantum dots as brighter and more photostable optical tags. Here, we review current methods for the detection of biomarkers using quantum dot-based nanosensors and summarize data on the biomarkers whose detection can be made considerably more sensitive by using these sensors.
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http://dx.doi.org/10.3390/nano14191553 | DOI Listing |
Biomolecules
December 2024
School of Pharmacy, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Ministry of Education, Yantai University, Yantai 264005, China.
The development of a novel strategy for the measurement of SARS-CoV-2 IgG antibodies is of vital significance for diagnosis and effect of vaccination evaluation. In this investigation, an SiO@Au@CDs nanoparticle (NP)-based lateral flow immunoassay (LFIA) strip was fabricated and coupled with a miniaturized fluorimeter. The morphology features and particle sizes of the SiO@Au@CDs NPs were characterized carefully, and the results indicated that the materials possess monodisperse, uniform, and spherical structures.
View Article and Find Full Text PDFNat Mater
January 2025
Department of Chemistry, University of Oxford, Oxford, UK.
J Phys Chem Lett
January 2025
Institute of Optoelectronic Technology, Fuzhou University, Fuzhou 350116, China.
The rise of big data and the internet of things has driven the demand for multimodal sensing and high-efficiency low-latency processing. Inspired by the human sensory system, we present a multifunctional optoelectronic-memristor-based reservoir computing (OM-RC) system by utilizing a CuSCN/PbS quantum dots (QDs) heterojunction. The OM-RC system exhibits volatile and nonlinear responses to electrical signals and wide-spectrum optical stimuli covering ultraviolet, visible, and near-infrared (NIR) regions, enabling multitask processing of dynamic signals.
View Article and Find Full Text PDFACS Nano
December 2024
State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Center for New Organic Matter, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, School of Medicine and Frontiers Science Center for Cell Responses, Nankai University, Tianjin 300071, P. R. China.
The outbreak of emerging acute viral diseases urgently requires the acceleration of specialized antiviral drug development, thus widely adopting phenotypic screening as a strategy for drug repurposing in antiviral research. However, traditional phenotypic screening methods typically require several days of experimental cycles and lack visual confirmation of a drug's ability to inhibit viral infection. Here, we report a robust method that utilizes quantum-dot-based single-virus tracking and machine learning to generate unique single-virus infection fingerprint data from viral trajectories and detect the dynamic changes in viral movement following drug administration.
View Article and Find Full Text PDFFront Physiol
November 2024
Department of Clinical Neurophysiology, Karolinska Hospital, Stockholm, Sweden.
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