Surface-enhanced Raman spectroscopy (SERS) substrates based on biosynthesized silver nanoparticles for identification of various candida species

This research showcases the production of silver nanoparticles (AgNPs) through the utilization of Cucumis prophetarum leaf extract. These nanoparticles were then utilized as substrates for surface-enhanced Raman scattering (SERS) to differentiate various Candida species. The biosynthesized AgNPs exhibited a surface plasmon resonance band at 425 nm, an average hydrodynamic diameter of 22.3 ± 5.7 nm, and a zeta potential of −32.6 ± 2.4 mV. SERS spectra obtained using these AgNP substrates revealed distinct features for C. albicans, C. glabrata, and C. parapsilosis, with key differentiating peaks at 783 cm⁻¹ , 1155 cm⁻¹ , and 1585 cm⁻¹ , respectively. The use of principal component analysis and linear discriminant analysis on the SERS data led to strong discrimination between the three Candida species, with a classification accuracy of 97.8 % in cross-validation and 93.3 % for an independent test set. The biosynthesized AgNP-based SERS substrates demonstrated high sensitivity with an enhancement factor of 10^6, good reproducibility with less than 10 % relative standard deviation between batches, and excellent stability over 30 days. This green synthesis approach offers a cost-effective and biocompatible method for producing SERS substrates, showing potential for rapid and reliable identification of Candida species in clinical settings.

Authors

Institutions

Publication Details

Journal
Alexandria Engineering Journal
Published
2025-01-27
DOI
https://doi.org/10.1016/j.aej.2025.01.085
Citations
1
Primary Topic
Nanoparticles: synthesis and applications
Type
article
Field-Weighted Citation Impact
0.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surface-enhanced Raman spectroscopy (SERS) substrates based on biosynthesized silver nanoparticles for identification of various candida species

Jie Wu, Jing Guo, Shuo Sun, Xiaodong Liu et al.
1 citations
Alexandria Engineering Journal
Nanoparticles: synthesis and applications
0.52
article

Surface-enhanced Raman spectroscopy (SERS) substrates based on biosynthesized silver nanoparticles for identification of various candida species

Jie Wu, Jing Guo, Shuo Sun, Xiaodong Liu, Fengming Li, Yang Xiang
article en
1 citations

Abstract

This research showcases the production of silver nanoparticles (AgNPs) through the utilization of Cucumis prophetarum leaf extract. These nanoparticles were then utilized as substrates for surface-enhanced Raman scattering (SERS) to differentiate various Candida species. The biosynthesized AgNPs exhibited a surface plasmon resonance band at 425 nm, an average hydrodynamic diameter of 22.3 ± 5.7 nm, and a zeta potential of −32.6 ± 2.4 mV. SERS spectra obtained using these AgNP substrates revealed distinct features for C. albicans, C. glabrata, and C. parapsilosis, with key differentiating peaks at 783 cm⁻¹ , 1155 cm⁻¹ , and 1585 cm⁻¹ , respectively. The use of principal component analysis and linear discriminant analysis on the SERS data led to strong discrimination between the three Candida species, with a classification accuracy of 97.8 % in cross-validation and 93.3 % for an independent test set. The biosynthesized AgNP-based SERS substrates demonstrated high sensitivity with an enhancement factor of 10^6, good reproducibility with less than 10 % relative standard deviation between batches, and excellent stability over 30 days. This green synthesis approach offers a cost-effective and biocompatible method for producing SERS substrates, showing potential for rapid and reliable identification of Candida species in clinical settings.

Alexandria Engineering JournalVol. 123
Guangxi Medical University (CN), Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 42%
Nanoparticles: synthesis and applications
0.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.