Near-infrared metal agents assisting precision medicine: from strategic design to bioimaging and therapeutic applications

Chemical Society Reviews, Journal Year: 2023, Volume and Issue: 52(13), P. 4392 - 4442

Published: Jan. 1, 2023

Metal agents have made incredible strides in preclinical research and clinical applications, but their short emission/absorption wavelengths continue to be a barrier distribution, therapeutic action, visual tracking, efficacy evaluation.

Language: Английский

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Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques

Biosensors, Journal Year: 2023, Volume and Issue: 13(3), P. 328 - 328

Published: Feb. 27, 2023

Surface-enhanced Raman spectroscopy/scattering (SERS) has evolved into a popular tool for applications in biology and medicine owing to its ease-of-use, non-destructive, label-free approach. Advances plasmonics instrumentation have enabled the realization of SERS’s full potential trace detection biomolecules, disease diagnostics, monitoring. We provide brief review on recent developments SERS technique biosensing applications, with particular focus machine learning techniques used same. Initially, article discusses need plasmonic sensors advantage over existing techniques. In later sections, are organized as SERS-based diagnosis focusing cancer identification respiratory diseases, including SARS-CoV-2 detection. then discuss progress sensing microorganisms, such bacteria, detecting biohazardous materials view homeland security. At end article, we (a) identification, (b) classification, (c) quantification applications. The covers work from 2010 onwards, language is simplified suit needs interdisciplinary audience.

Language: Английский

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Raman-Based Techniques in Medical Applications for Diagnostic Tasks: A Review

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(21), P. 15605 - 15605

Published: Oct. 26, 2023

Raman spectroscopy is a widely developing approach for noninvasive analysis that can provide information on chemical composition and molecular structure. High specificity calls different medical diagnostic applications based spectroscopy. This review focuses the Raman-based techniques used in diagnostics provides an overview of such techniques, possible areas their application, current limitations. We have reviewed recent studies proposing conventional surface-enhanced rapid measuring specific biomarkers diseases as cardiovascular disease, cancer, neurogenerative coronavirus disease (COVID-19). As result, we discovered several most promising to identify affected persons by detecting some significant spectral features. analyzed these approaches terms potentially power highlighted remaining challenges limitations preventing translation into clinical settings.

Language: Английский

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When near-infrared fluorescence meets supramolecular coordination complexes: Challenges and opportunities of metallacycles/metallacages in precision biomedicine

Coordination Chemistry Reviews, Journal Year: 2023, Volume and Issue: 493, P. 215320 - 215320

Published: July 7, 2023

Language: Английский

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Rationally Designed Benzobisthiadiazole‐Based Covalent Organic Framework for High‐Performance NIR‐II Fluorescence Imaging‐Guided Photodynamic Therapy

Advanced Healthcare Materials, Journal Year: 2024, Volume and Issue: 13(17)

Published: March 8, 2024

Although being applied as photosensitizers for photodynamic therapy, covalent organic frameworks (COFs) fail the precise fluorescence imaging in vivo and phototherapy deep-tissue, due to short excitation/emission wavelengths. Herein, this work proposes first example of NIR-II emissive benzobisthiadiazole-based COF-980. Comparing its ligands, structure COF-980 can more efficiently reducing energy gap (ΔE

Language: Английский

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Lighting up plants with near-infrared fluorescence probes

Science China Chemistry, Journal Year: 2023, Volume and Issue: 67(3), P. 774 - 787

Published: Oct. 23, 2023

Language: Английский

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A Review of Fabrication of DNA Origami Plasmonic Structures for the Development of Surface-Enhanced Raman Scattering (SERS) Platforms

Plasmonics, Journal Year: 2023, Volume and Issue: 19(3), P. 1131 - 1143

Published: Sept. 27, 2023

Language: Английский

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Application of Aptamer-SERS Nanotags for Unveiling the PD-L1 Immunomarker Progression Correlated to the Cell Metabolic Bioprocess

Analytical Chemistry, Journal Year: 2024, Volume and Issue: 96(16), P. 6236 - 6244

Published: March 6, 2024

In recent years, the expression and progression of programmed cell death ligand 1 (PD-L1) as an immunomarker in context a metabolic environment has gained significant attention cancer research. However, intercellular bioprocesses that control dynamics PD-L1 have been largely unexplored. This study aimed to explore states conditions govern dynamic variations within using aptamer-based surface-enhanced Raman scattering (SERS) approach. The aptamer-SERS technique offers sensitive, rapid, powerful analytical tool for targeted nondestructive detection with high sensitivity specificity. By combining state profiling, we investigated modulation under different states, including glucose deprivation, coenzyme activity, altered time/concentration-based cytokine availability. most intriguing features our findings include cell-specific responses, differentiation by revealing distinct patterns, lines. Additionally, time-dependent expression, coupled dose-dependent relationship between concentration levels, underscore complex interplay immune checkpoint regulation cellular metabolism. Therefore, this work demonstrates advantages highly-sensitive specific nanotags investigating related bioprocess.

Language: Английский

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Multiplexed Surface Protein Detection and Cancer Classification Using Gap-Enhanced Magnetic–Plasmonic Core–Shell Raman Nanotags and Machine Learning Algorithm

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(2), P. 2041 - 2057

Published: Jan. 4, 2024

Cancer is the second leading cause of death attributed to disease worldwide. Current standard detection methods often rely on a single cancer marker, which can lead inaccurate results, including false negatives, and an inability detect multiple cancers simultaneously. Here, we developed multiplex method that effectively classify surface proteins associated with three distinct types breast by utilizing gap-enhanced Raman scattering nanotags machine learning algorithm. We synthesized anisotropic magnetic core-gold shell incorporating different reporters. These multicolor were employed distinguish specific protein markers in cells. The acquired signals deconvoluted analyzed using classical least-squares regression generate profile characterize Furthermore, computational data obtained via finite-difference time-domain discrete dipole approximation showed amplification electric fields within gap region due plasmonic coupling between two gold layers. Finally, random forest classifier achieved impressive classification profiling accuracy 93.9%, enabling effective distinguishing cell lines mixed solution. With combination immunomagnetic target specificity separation, gap-enhancement nanotags, learning, our provides accurate integrated platform cells, giving implications for identification origin circulating tumor cells blood system.

Language: Английский

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Artificial Intelligence-Powered Surface-Enhanced Raman Spectroscopy for Biomedical Applications

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Language: Английский

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