Machine learning for nanoplasmonics

JF Masson, JS Biggins, E Ringe - Nature Nanotechnology, 2023 - nature.com
Plasmonic nanomaterials have outstanding optoelectronic properties potentially enabling
the next generation of catalysts, sensors, lasers and photothermal devices. Owing to optical …

Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering

F Lussier, V Thibault, B Charron, GQ Wallace… - TrAC Trends in …, 2020 - Elsevier
Abstract Machine learning is sha** up our lives in many ways. In analytical sciences,
machine learning provides an unprecedented opportunity to extract information from …

Artificial intelligence enhanced sensors-enabling technologies to next-generation healthcare and biomedical platform

C Wang, T He, H Zhou, Z Zhang, C Lee - Bioelectronic Medicine, 2023 - Springer
The fourth industrial revolution has led to the development and application of health
monitoring sensors that are characterized by digitalization and intelligence. These sensors …

Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends

DP Dos Santos, MM Sena, MR Almeida… - Analytical and …, 2023 - Springer
Surface-enhanced Raman spectroscopy (SERS) has gained increasing attention because it
provides rich chemical information and high sensitivity, being applicable in many scientific …

Sensing antibiotics in wastewater using surface-enhanced Raman scattering

YH Huang, H Wei, PJ Santiago, WJ Thrift… - … science & technology, 2023 - ACS Publications
Rapid and cost-effective detection of antibiotics in wastewater and through wastewater
treatment processes is an important first step in develo** effective strategies for their …

Recent progress and trend of robot odor source localization

T **g, QH Meng, H Ishida - IEEJ Transactions on Electrical …, 2021 - Wiley Online Library
Accurate and prompt localization of hazardous release sources ensures a timely emergency
response to potential damages. Robot odor source localization is the study of locating the …

[HTML][HTML] Machine learning enhances the performance of bioreceptor-free biosensors

KE Schackart III, JY Yoon - Sensors, 2021 - mdpi.com
Since their inception, biosensors have frequently employed simple regression models to
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …

Deep learning analysis of vibrational spectra of bacterial lysate for rapid antimicrobial susceptibility testing

WJ Thrift, S Ronaghi, M Samad, H Wei, DG Nguyen… - ACS …, 2020 - ACS Publications
Rapid antimicrobial susceptibility testing (AST) is an integral tool to mitigate the unnecessary
use of powerful and broad-spectrum antibiotics that leads to the proliferation of multi-drug …

Lectin-modified bacterial cellulose nanocrystals decorated with Au nanoparticles for selective detection of bacteria using surface-enhanced Raman scattering coupled …

A Rahman, S Kang, W Wang, Q Huang… - ACS Applied Nano …, 2022 - ACS Publications
Bacterial cellulose nanocrystals (BCNCs) are tunable and biocompatible cellulose
nanomaterials that can be easily bioconjugated and used for biosensing applications. We …

Label‐free surface‐enhanced Raman spectroscopy coupled with machine learning algorithms in pathogenic microbial identification: current trends, challenges, and …

JW Tang, Q Yuan, XR Wen, M Usman… - Interdisciplinary …, 2024 - Wiley Online Library
Infectious diseases caused by microbial pathogens remain a primary contributor to global
health burdens. Prompt control and effective prevention of these pathogens are critical for …