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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 …
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 …
Predicting elemental stiffness matrix of FG nanoplates using Gaussian Process Regression based surrogate model in framework of layerwise model
The accuracy of predicting the behaviour of structure using finite element (FE) depends
widely on the precision of the evaluation of the stiffness matrix. In the present article, an …
widely on the precision of the evaluation of the stiffness matrix. In the present article, an …
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 …
Nanomaterials‐enabled physicochemical antibacterial therapeutics: toward the antibiotic‐free disinfections
Z **ng, J Guo, Z Wu, C He, L Wang, M Bai, X Liu, B Zhu… - Small, 2023 - Wiley Online Library
Bacterial infection continues to be an increasing global health problem with the most widely
accepted treatment paradigms restricted to antibiotics. However, the overuse and misuse of …
accepted treatment paradigms restricted to antibiotics. However, the overuse and misuse of …
[HTML][HTML] Cellulose-based conductive materials for energy and sensing applications
Cellulose-based conductive materials (CCMs) have emerged as a promising class of
materials with various applications in energy and sensing. This review provides a …
materials with various applications in energy and sensing. This review provides a …
Bridging nanomanufacturing and artificial intelligence—a comprehensive review
M Nandipati, O Fatoki, S Desai - Materials, 2024 - mdpi.com
Nanomanufacturing and digital manufacturing (DM) are defining the forefront of the fourth
industrial revolution—Industry 4.0—as enabling technologies for the processing of materials …
industrial revolution—Industry 4.0—as enabling technologies for the processing of materials …
Nanocellulose: Recent advances toward biomedical applications
Sustainable materials are key to the continual improvement of living standards on this planet
with minimal environmental impacts. Nanocellulose combines the fascinating features of …
with minimal environmental impacts. Nanocellulose combines the fascinating features of …
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 …
health burdens. Prompt control and effective prevention of these pathogens are critical for …
Recent advances in nano/microfabricated substrate platforms and artificial intelligence for practical surface-enhanced Raman scattering-based bioanalysis
Surface-enhanced Raman scattering (SERS) can be a valuable analytical tool for
bioanalysis. However, SERS is a complex optical phenomenon resulting from light-matter …
bioanalysis. However, SERS is a complex optical phenomenon resulting from light-matter …