Recent trends in SERS-based plasmonic sensors for disease diagnostics, biomolecules detection, and machine learning techniques

R Beeram, KR Vepa, VR Soma - Biosensors, 2023 - mdpi.com
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 …

Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy

X Bi, L Lin, Z Chen, J Ye - Small methods, 2024 - Wiley Online Library
Surface‐enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting
and sensitive analytical technique, has exerted high applicational value in a broad range of …

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 …

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 …

Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease

J Yang, X Chen, C Luo, Z Li, C Chen, S Han, X Lv… - Scientific Reports, 2023 - nature.com
Surface-enhanced Raman spectroscopy (SERS), as a rapid, non-invasive and reliable
spectroscopic detection technique, has promising applications in disease screening and …

Label-free SERS for rapid differentiation of SARS-CoV-2-induced serum metabolic profiles in non-hospitalized adults

M Chisanga, H Williams, D Boudreau… - Analytical …, 2023 - ACS Publications
COVID-19 represents a multi-system infectious disease with broad-spectrum manifestations,
including changes in host metabolic processes connected to the disease pathogenesis …

Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics

H Zhou, L Xu, Z Ren, J Zhu, C Lee - Nanoscale advances, 2023 - pubs.rsc.org
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 …

Label-free detection of bladder cancer and kidney cancer plasma based on SERS and multivariate statistical algorithm

X Bai, J Lin, X Wu, Y Lin, X Zhao, W Du, J Gao… - … Acta Part A: Molecular …, 2022 - Elsevier
In this study, we mainly aimed to investigate the diagnostic potential of surface-enhanced
Raman spectroscopy for bladder cancer and kidney cancer which are the most common …

Advances in Machine Learning Processing of Big Data from Disease Diagnosis Sensors

S Lu, J Yang, Y Gu, D He, H Wu, W Sun, D Xu, C Li… - ACS …, 2024 - ACS Publications
Exploring accurate, noninvasive, and inexpensive disease diagnostic sensors is a critical
task in the fields of chemistry, biology, and medicine. The complexity of biological systems …

Machine learning–assisted internal standard calibration label-free SERS strategy for colon cancer detection

S Peng, D Lu, B Zhang, R You, J Chen, H Xu… - Analytical and …, 2023 - Springer
Liquid biopsies have significance for early colon cancer screening and improving patient
survival. Recently, several researchers have applied surface-enhanced Raman …