Recent trends in SERS-based plasmonic sensors for disease diagnostics, biomolecules detection, and machine learning techniques
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, and label …
for applications in biology and medicine owing to its ease-of-use, non-destructive, and label …
Unveiling practical considerations for reliable and standardized SERS measurements: lessons from a comprehensive review of oblique angle deposition-fabricated …
Recently, there has been an exponential growth in the number of publications focusing on
surface-enhanced Raman scattering (SERS), primarily driven by advancements in …
surface-enhanced Raman scattering (SERS), primarily driven by advancements in …
Rapid and quantitative detection of respiratory viruses using surface-enhanced Raman spectroscopy and machine learning
Y Yang, B Xu, J Murray, J Haverstick, X Chen… - Biosensors and …, 2022 - Elsevier
Rapid and sensitive pathogen detection is important for prevention and control of disease.
Here, we report a label-free diagnostic platform that combines surface-enhanced Raman …
Here, we report a label-free diagnostic platform that combines surface-enhanced Raman …
Roadmap for Plasmonic Nanoparticle sensors: current progress, challenges and Future prospects
Plasmonic nanoparticles (NPs) have played a significant role in the evolution of modern
nanoscience and nanotechnology in terms of colloidal synthesis, general understanding of …
nanoscience and nanotechnology in terms of colloidal synthesis, general understanding of …
Machine learning-assisted optical nano-sensor arrays in microorganism analysis
Microbial infection can cause problems for public health, and to realize efficient
microorganism detection is of great importance. However, the simultaneous identification of …
microorganism detection is of great importance. However, the simultaneous identification of …
Interfacial Self-Assembly of Surfactant-Free Au Nanoparticles as a Clean Surface-Enhanced Raman Scattering Substrate for Quantitative Detection of As5+ in …
G Fang, W Hasi, X Sha, G Cao, S Han… - The Journal of …, 2023 - ACS Publications
Surface-enhanced Raman scattering (SERS) is a highly sensitive tool in the field of
environmental testing. However, the detection and accurate quantification of weakly …
environmental testing. However, the detection and accurate quantification of weakly …
Rapid detection of SARS-CoV-2 RNA in human nasopharyngeal specimens using surface-enhanced raman spectroscopy and deep learning algorithms
Y Yang, H Li, L Jones, J Murray, J Haverstick… - Acs …, 2022 - ACS Publications
A rapid and cost-effective method to detect the infection of SARS-CoV-2 is fundamental to
mitigating the current COVID-19 pandemic. Herein, a surface-enhanced Raman …
mitigating the current COVID-19 pandemic. Herein, a surface-enhanced Raman …
Identifying surface-enhanced raman spectra with a raman library using machine learning
Since its discovery, surface-enhanced Raman spectroscopy (SERS) has shown outstanding
promise of identifying trace amounts of unknown molecules in rapid, portable formats …
promise of identifying trace amounts of unknown molecules in rapid, portable formats …
SERS‐Based Biosensors Combined with Machine Learning for Medical Application**
Y Ding, Y Sun, C Liu, QY Jiang, F Chen… - ChemistryOpen, 2023 - Wiley Online Library
Surface‐enhanced Raman spectroscopy (SERS) has shown strength in non‐invasive, rapid,
trace analysis and has been used in many fields in medicine. Machine learning (ML) is an …
trace analysis and has been used in many fields in medicine. Machine learning (ML) is an …
Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics
The world today is witnessing the significant role and huge demand for molecular detection
and screening in healthcare and medical diagnosis, especially during the outbreak of …
and screening in healthcare and medical diagnosis, especially during the outbreak of …