Classification, synthetic, and characterization approaches to nanoparticles, and their applications in various fields of nanotechnology: A review
Nanoparticles typically have dimensions of less than 100 nm. Scientists around the world
have recently become interested in nanotechnology because of its potential applications in …
have recently become interested in nanotechnology because of its potential applications in …
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 …
Recent advances in nanomaterials-based targeted drug delivery for preclinical cancer diagnosis and therapeutics
Nano-oncology is a branch of biomedical research and engineering that focuses on using
nanotechnology in cancer diagnosis and treatment. Nanomaterials are extensively …
nanotechnology in cancer diagnosis and treatment. Nanomaterials are extensively …
Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: Principles, progress, and trends
Surface-enhanced Raman spectroscopy (SERS) has gained increasing attention because it
provides rich chemical information and high sensitivity, being applicable in many scientific …
provides rich chemical information and high sensitivity, being applicable in many scientific …
Advances of surface-enhanced Raman spectroscopy in exosomal biomarkers analysis
HS Tan, T Wang, HN Sun, A Liu, SS Li - TrAC Trends in Analytical …, 2023 - Elsevier
Cancer derived exosomal biomarkers (eg proteins, RNAs) could reflect important
information about the cancer microenvironment. For ultrasensitive analysis of exosomal …
information about the cancer microenvironment. For ultrasensitive analysis of exosomal …
Using machine learning and silver nanoparticle-based surface-enhanced raman spectroscopy for classification of cardiovascular disease biomarkers
K Dixon, R Bonon, F Ivander… - ACS Applied Nano …, 2023 - ACS Publications
Characterizing complex biofluids using surface-enhanced Raman spectroscopy (SERS)
coupled with machine learning (ML) has been proposed as a powerful tool for point-of-care …
coupled with machine learning (ML) has been proposed as a powerful tool for point-of-care …
Toward smart diagnostics via artificial intelligence-assisted surface-enhanced Raman spectroscopy
Molecular information contained in bodily fluids (ex. Blood, urine, saliva, or tears) can be
minutely obtained through label-free surface-enhanced Raman spectroscopy (SERS) …
minutely obtained through label-free surface-enhanced Raman spectroscopy (SERS) …
SERS-based microdevices for use as in vitro diagnostic biosensors
S Lee, H Dang, JI Moon, K Kim, Y Joung… - Chemical Society …, 2024 - pubs.rsc.org
Advances in surface-enhanced Raman scattering (SERS) detection have helped to
overcome the limitations of traditional in vitro diagnostic methods, such as fluorescence and …
overcome the limitations of traditional in vitro diagnostic methods, such as fluorescence and …
Monodisperse Ag nanoparticle-decorated bacterial nanocellulose as flexible surface-enhanced Raman scattering sensors for trace detection of toxic thiram
Surface-enhanced Raman spectroscopy (SERS) is becoming an attractive technique for
applications in food safety detection, environmental monitoring, disease diagnosis, and …
applications in food safety detection, environmental monitoring, disease diagnosis, and …
[PDF][PDF] Kajal; Salvi, P.; Singh, SK; Gautam, V
H Tiwari, N Rai - … in Nanomaterials-Based Targeted Drug Delivery …, 2023 - researchgate.net
Nano-oncology is a branch of biomedical research and engineering that focuses on using
nanotechnology in cancer diagnosis and treatment. Nanomaterials are extensively …
nanotechnology in cancer diagnosis and treatment. Nanomaterials are extensively …