Key steps for improving bacterial SERS signals in complex samples: Separation, recognition, detection, and analysis

M **e, Y Zhu, Z Li, Y Yan, Y Liu, W Wu, T Zhang, Z Li… - Talanta, 2024 - Elsevier
Rapid and reliable detection of pathogenic bacteria is absolutely essential for research in
environmental science, food quality, and medical diagnostics. Surface-enhanced Raman …

Commentary on the review articles of spectroscopy technology combined with chemometrics in the last three years

H Xuesong, C Pu, L **gyan, X Yupeng… - Applied Spectroscopy …, 2024 - Taylor & Francis
In recent years, spectral analysis methods have developed rapidly. A key feature is the use
of chemometric methods to process spectral data for performing qualitative and quantitative …

Label-free surface enhanced Raman spectroscopy for cancer detection

E Avci, H Yilmaz, N Sahiner, BG Tuna, MB Cicekdal… - Cancers, 2022 - mdpi.com
Simple Summary Blood is considered a rich reservoir of biomarkers for disease diagnosis.
Surface-enhanced Raman scattering (SERS) is known for its high sensitivity and has been …

[HTML][HTML] Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification

Q Hu, C Sellers, JSI Kwon, HJ Wu - Digital Chemical Engineering, 2022 - Elsevier
Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for molecule
identification. However, profiling complex samples remains a challenge because SERS …

Orthogonal gap-enhanced Raman tags for interference-free and ultrastable surface-enhanced Raman scattering

J Li, F Liu, C He, F Shen, J Ye - Nanophotonics, 2022 - degruyter.com
Spectral interference from backgrounds is not negligible for surface-enhanced Raman
scattering (SERS) tags and often influences the accuracy and reliability of SERS …

Identification of pathogens and detection of antibiotic susceptibility at single-cell resolution by Raman spectroscopy combined with machine learning

W Lu, H Li, H Qiu, L Wang, J Feng, YV Fu - Frontiers in Microbiology, 2023 - frontiersin.org
Rapid, accurate, and label-free detection of pathogenic bacteria and antibiotic resistance at
single-cell resolution is a technological challenge for clinical diagnosis. Overcoming the …

Alterations in the molecular composition of COVID-19 patient urine, detected using Raman spectroscopic/computational analysis

JL Robertson, RS Senger, J Talty, P Du, A Sayed-Issa… - PLoS …, 2022 - journals.plos.org
We developed and tested a method to detect COVID-19 disease, using urine specimens.
The technology is based on Raman spectroscopy and computational analysis. It does not …

Analysis of urine Raman spectra differences from patients with diabetes mellitus and renal pathologies

V Kavuru, RS Senger, JL Robertson, D Choudhury - PeerJ, 2023 - peerj.com
Background Chronic kidney disease (CKD) poses a major public health burden. Diabetes
mellitus (DM) is one of the major causes of CKD. In patients with DM, it can be difficult to …

Assessment of unmixing approaches for the quantitation of SERS nanoparticles in highly multiplexed spectral images

A Czaja, S Awad, OE Eremina… - Journal of Raman …, 2024 - Wiley Online Library
Surface‐enhanced Raman scattering nanoparticles (SERS NPs) offer powerful optical
contrast features for imaging assays. Their gold core enhances the inelastic scattering cross …

Formation and emergent dynamics of spatially organized microbial systems

K Cremin, SJN Duxbury, J Rosko… - Interface …, 2023 - royalsocietypublishing.org
Spatial organization is the norm rather than the exception in the microbial world. While the
study of microbial physiology has been dominated by studies in well-mixed cultures, there is …