Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 538, P. 216718 - 216718
Published: April 22, 2025
Language: Английский
ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 24, 2025
The year 2024 marks the 50th anniversary of discovery surface-enhanced Raman spectroscopy (SERS). Over recent years, SERS has experienced rapid development and became a critical tool in biomedicine with its unparalleled sensitivity molecular specificity. This review summarizes advancements challenges substrates, nanotags, instrumentation, spectral analysis for biomedical applications. We highlight key developments colloidal solid an emphasis on surface chemistry, hotspot design, 3D hydrogel plasmonic architectures. Additionally, we introduce innovations including those interior gaps, orthogonal reporters, near-infrared-II-responsive properties, along biomimetic coatings. Emerging technologies such as optical tweezers, nanopores, wearable sensors have expanded capabilities single-cell single-molecule analysis. Advances analysis, signal digitalization, denoising, deep learning algorithms, improved quantification complex biological data. Finally, this discusses applications nucleic acid detection, protein characterization, metabolite monitoring, vivo spectroscopy, emphasizing potential liquid biopsy, metabolic phenotyping, extracellular vesicle diagnostics. concludes perspective clinical translation SERS, addressing commercialization potentials tissue sensing imaging.
Language: Английский
Citations
11
Analytical Chemistry, Journal Year: 2024, Volume and Issue: 96(21), P. 8492 - 8500
Published: May 15, 2024
Raman spectroscopy is a nondestructive and label-free chemical analysis technique, which plays key role in the discovery cycle of various branches science. Nonetheless, progress spectroscopic still impeded by lack software, methodological data standardization, ensuing fragmentation reproducibility workflows thereof. To address these issues, we introduce RamanSPy, an open-source Python package for research analysis. RamanSPy provides comprehensive library tools that supports day-to-day tasks, integrative analyses, development methods protocols, integration advanced analytics. modular open source, not tied to particular technology or format, can be readily interfaced with burgeoning ecosystem science, statistical analysis, machine learning Python. hosted at https://github.com/barahona-research-group/RamanSPy, supplemented extended online documentation, available https://ramanspy.readthedocs.io, includes tutorials, example applications, details about real-world applications presented this paper.
Language: Английский
Citations
9
Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(45)
Published: Oct. 29, 2024
Raman spectroscopy is widely used across scientific domains to characterize the chemical composition of samples in a nondestructive, label-free manner. Many applications entail unmixing signals from mixtures molecular species identify individual components present and their proportions, yet conventional methods for chemometrics often struggle with complex mixture scenarios encountered practice. Here, we develop hyperspectral algorithms based on autoencoder neural networks, systematically validate them using both synthetic experimental benchmark datasets created in-house. Our results demonstrate that autoencoders provide improved accuracy, robustness, efficiency compared standard methods. We also showcase applicability biological settings by showing biochemical characterization volumetric imaging data monocytic cell.
Language: Английский
Citations
5
Advanced Drug Delivery Reviews, Journal Year: 2024, Volume and Issue: unknown, P. 115483 - 115483
Published: Dec. 1, 2024
Language: Английский
Citations
3
Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 538, P. 216718 - 216718
Published: April 22, 2025
Language: Английский
Citations
0