Raman Spectroscopy of Fullerenes: From C60 to Functionalized Derivatives DOI Creative Commons
Yifan Qin,

Jilian Xu,

Zhewen Liang

et al.

Molecules, Journal Year: 2025, Volume and Issue: 30(3), P. 738 - 738

Published: Feb. 6, 2025

Fullerenes, a unique allotrope of carbon, have captured significant attention in multiple scientific fields. As non-destructive characterization technique, Raman spectroscopy has proven indispensable for investigating fullerenes and their derivatives, offering detailed insights into vibrational properties. This review discusses the broad utility revealing structural physicochemical characteristics fullerenes—from iconic C60 molecule to an array its derivatives—highlighting capacity detect functionalization-induced changes molecular structure electronic properties, while also assessing environmental influences such as solvent effects temperature variations. Particular emphasis is placed on advanced Raman-based techniques, including enhanced spectroscopy, surface-enhanced (SERS), tip-enhanced (TERS), derivatives. These cutting-edge methods offer high sensitivity ultra-high spatial resolution, greatly expanding scope fullerene research delivering deeper functional

Language: Английский

Recent progress and applications of Raman spectrum denoising algorithms in chemical and biological analyses: A review DOI
Shiyan Fang, Siyi Wu, Zhou Chen

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 172, P. 117578 - 117578

Published: Feb. 7, 2024

Language: Английский

Citations

38
Extracellular Vesicle Preparation and Analysis: A State‐of‐the‐Art Review DOI Creative Commons
Zesheng Wang, Xiaoyu Zhou, Qinglong Kong

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 11(30)

Published: June 14, 2024

Abstract In recent decades, research on Extracellular Vesicles (EVs) has gained prominence in the life sciences due to their critical roles both health and disease states, offering promising applications diagnosis, drug delivery, therapy. However, inherent heterogeneity complex origins pose significant challenges preparation, analysis, subsequent clinical application. This review is structured provide an overview of biogenesis, composition, various sources EVs, thereby laying groundwork for a detailed discussion contemporary techniques preparation analysis. Particular focus given state‐of‐the‐art technologies that employ microfluidic non‐microfluidic platforms EV processing. Furthermore, this discourse extends into innovative approaches incorporate artificial intelligence cutting‐edge electrochemical sensors, with particular emphasis single proposes current outlines prospective avenues future research. The objective motivate researchers innovate expand methods analysis fully unlocking biomedical potential.

Language: Английский

Citations

35
SERSomes for metabolic phenotyping and prostate cancer diagnosis DOI Creative Commons

Xinyuan Bi,

Jiayi Wang,

Bingsen XUE

et al.

Cell Reports Medicine, Journal Year: 2024, Volume and Issue: 5(6), P. 101579 - 101579

Published: May 21, 2024

Molecular phenotypic variations in metabolites offer the promise of rapid profiling physiological and pathological states for diagnosis, monitoring, prognosis. Since present methods are expensive, time-consuming, still not sensitive enough, there is an urgent need approaches that can interrogate complex biological fluids at a system-wide level. Here, we introduce hyperspectral surface-enhanced Raman spectroscopy (SERS) to profile microliters biofluidic metabolite extraction 15 min with spectral set, SERSome, be used describe structures functions various molecules produced biofluid specific time via SERS characteristics. The differences biofluids, including cell culture medium human serum, successfully profiled, showing diagnosis accuracy 80.8% on internal test set 73% external validation prostate cancer, discovering potential biomarkers, predicting tissue-level aggressiveness. SERSomes promising methodology metabolic phenotyping.

Language: Английский

Citations

17
Surface-Enhanced Raman Spectroscopy for Biomedical Applications: Recent Advances and Future Challenges DOI Creative Commons
Li Lin, Ramón A. Álvarez‐Puebla, Luis M. Liz‐Marzán

et al.

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

3
Automated identification of pesticide mixtures via machine learning analysis of TLC-SERS spectra DOI
Guoqiang Fang, Wuliji Hasi, Xiang Lin

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 474, P. 134814 - 134814

Published: June 4, 2024

Language: Английский

Citations

13
Advanced Design of Soft Robots with Artificial Intelligence DOI Creative Commons
Ying Cao, Bingang Xu, Bin Li

et al.

Nano-Micro Letters, Journal Year: 2024, Volume and Issue: 16(1)

Published: June 13, 2024

In recent years, breakthrough has been made in the field of artificial intelligence (AI), which also revolutionized industry robotics. Soft robots featured with high-level safety, less weight, lower power consumption have always one research hotspots. Recently, multifunctional sensors for perception soft robotics rapidly developed, while more algorithms and models machine learning high accuracy optimized proposed. Designs AI advanced ranging from multimodal sensing, human–machine interaction to effective actuation robotic systems. Nonetheless, comprehensive reviews concerning new developments strategies ingenious design systems equipped are rare. Here, development is systematically reviewed AI. First, background mechanisms briefed, after focused on how endow AI, including aspects feeling, thought reaction, illustrated. Next, applications summarized discussed together proposed performance enhancement. Design thoughts future intelligent pointed out. Finally, some perspectives put forward.

Language: Английский

Citations

13
Rapid discrimination and ratio quantification of mixed antibiotics in aqueous solution through integrative analysis of SERS spectra via CNN combined with NN-EN model DOI Creative Commons
Quan Yuan,

Lin-Fei Yao,

Jia-Wei Tang

et al.

Journal of Advanced Research, Journal Year: 2024, Volume and Issue: unknown

Published: March 1, 2024

Abusing antibiotic residues in the natural environment has become a severe public health and ecological environmental problem. The side effects of its biochemical physiological consequences are severe. To avoid contamination water, implementing universal rapid residue detection technology is critical to maintaining safety aquatic environments. Surface-enhanced Raman spectroscopy (SERS) provides powerful tool for identifying small molecular components with high sensitivity selectivity. However, it remains challenge identify pure antibiotics from SERS spectra due coexisting mixture. In this study, an intelligent analysis model spectrum based on deep learning algorithm was proposed identification mixture quantitative determination ratios these components. We established water system containing three ciprofloxacin, doxycycline, levofloxacin. facilitate qualitative datasets, we developed computational framework integrating convolutional neural network (CNN) non-negative elastic (NN-EN) method. experimental results demonstrate that CNN recognition accuracy 98.68%, interpretation Shapley Additive exPlanations (SHAP) shows our can specifically focus characteristic peak distribution. contrast, NN-EN accurately quantify each component's ratio Integrating technique assisted by combined exhibits great potential high-precision quantification

Language: Английский

Citations

10
Raman spectroscopy for esophageal tumor diagnosis and delineation using machine learning and the portable Raman spectrometer DOI

Junqing Yang,

Pei Xu,

Siyi Wu

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2024, Volume and Issue: 317, P. 124461 - 124461

Published: May 12, 2024

Language: Английский

Citations

9
Artificial intelligence-based plasma exosome label-free SERS profiling strategy for early lung cancer detection DOI
Dechan Lu,

Zhikun Shangguan,

Zhehao Su

et al.

Analytical and Bioanalytical Chemistry, Journal Year: 2024, Volume and Issue: 416(23), P. 5089 - 5096

Published: July 17, 2024

Language: Английский

Citations

9
Surface-Enhanced Raman Scattering Coupled with In Situ Raman Spectroscopy for the Detection of the OER Mechanism: A Mini-Review DOI
Suprobhat Singha Roy, Sreenivasan Nagappan,

Asha K. Satheesan

et al.

The Journal of Physical Chemistry C, Journal Year: 2024, Volume and Issue: 128(33), P. 13634 - 13650

Published: July 29, 2024

Electrocatalysis has emerged as a pivotal field for sustainable energy and environmental solutions, fueling the development of diverse electrocatalysts over past 2 decades. However, comprehensive understanding intricate dynamical processes governing electrochemical reactions remains elusive is hampering efficient catalyst design. Surface-sensitive techniques like in situ/operando Raman spectroscopy are indispensable characterizing these dynamic guiding novel catalysts. This review systematically summarizes recent advances employing techniques, with particular emphasis on surface-enhanced (SERS), probing various electrocatalytic systems. It discusses development, advantages, available configurations techniques. Moreover, underscores potential situ SERS unraveling mechanisms oxygen evolution reaction (OER) through innovative strategies methodological advancements. Notably, leveraging OER catalysts, such single-atom metal–organic frameworks, electrolyte–electrode interfaces, can unveil unexplored pathways, superior catalytic materials. Overcoming challenges harnessing SERS' capabilities deepen our mechanistic OER, enabling rational design durable crucial renewable advancement.

Language: Английский

Citations

9