Application of Localized Surface Plasmon Resonance of Conjugated Gold Nanoparticles in Spectral Diagnosis of SARS-CoV-2: A Numerical Study

Koushki, E.; Mowlavi, Ali Asghar; Hoseini, Seyed Taha

doi:10.1007/s11468-023-01901-1

Cited by 3 publications

(2 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This wavelength can be adjusted to longer wavelengths through particle shape variation. 74,75 By adding functionalities containing thiols to surfaces, hollow dual-rim nanorings (DRNs) made from Ag–Au enable high single-particle SERS activity and biocompatible and biodegradable properties. 76…”

Section: Classification Of Gold and Silver Nanobioconjugates Based On...mentioning

confidence: 99%

Bonding states of gold/silver plasmonic nanostructures and sulfur-containing active biological ingredients in biomedical applications: a review

Esmailzadeh,

Taheri-Ledari,

Salehi

et al. 2024

Phys. Chem. Chem. Phys.

View full text Add to dashboard Cite

show abstract

Section: Classification Of Gold and Silver Nanobioconjugates Based On...mentioning

confidence: 99%

Bonding states of gold/silver plasmonic nanostructures and sulfur-containing active biological ingredients in biomedical applications: a review

Esmailzadeh,

Taheri-Ledari,

Salehi

et al. 2024

Phys. Chem. Chem. Phys.

View full text Add to dashboard Cite

show abstract

“…15 The LSPR is observed in the extinction (E(λ)) spectrum of the NPs where multiple peaks, which correspond to different resonance modes, can manifest. 16 As a phenomenon, LSPR is highly sensitive to the refractive index of the ambient medium, making it suitable for biomolecule 17 and virus 18 detection applications. This and other unique properties of NPs make them exceptionally useful in biomedicine for the detection of antigens, 19 biological warfare agents, 20 and gene delivery.…”

Section: ■ Introductionmentioning

confidence: 99%

Deep Learning Methods for Colloidal Silver Nanoparticle Concentration and Size Distribution Determination from UV–Vis Extinction Spectra

Klinavičius,

Khinevich,

Tamulevičienė

et al. 2024

J. Phys. Chem. C

View full text Add to dashboard Cite

Electron microscopy, while reliable, is an expensive, slow, and inefficient technique for thorough size distribution characterization of both monodisperse and polydisperse colloidal nanoparticles. If rapid in situ characterization of colloid samples is to be achieved, a different approach, based on fast, widely accessible, and inexpensive optical measurements such as UV−vis spectroscopy in combination with spectral interpretation related to Mie scattering theory, is needed. In this article, we present a tandem deep neural network (DNN) for the size distribution and concentration prediction of close to spherical silver colloidal nanoparticle batches synthesized via the seeded-growth method. The first DNN identified the dipole component of the localized surface plasmon resonance, and the second one determined the size distribution from the isolated spectral component. The training data was engineered to be bias-free and generated numerically. High prediction accuracy with root-mean-square percentage error of mean size down to 1.2% was achieved, spanning the entire prediction range from 1 up to 150 nm in radius, suggesting the possible extension limits of the effective medium theory used for simulating the spectra. The DNN-predicted nanoparticle concentrations also were very close to the ones expected based on synthesis precursor contents as well as those measured by atomic absorption spectroscopy.

show abstract

Simple method for optical characterization of surface agents on conjugated silver nanoparticles

Koushki,

Ghasedi

2024

AIP Advances

View full text Add to dashboard Cite

In this study, a simple formula has been proposed to calculate the refractive index of surface agents of silver nanoparticles (Ag NPs) by using the plasmonic peak of the absorption spectra of dispersed Ag nano-colloids. The basis of the study is the shift in the localized surface plasmon resonance (LSPR) of Ag NPs upon alteration of surface agents. The color changes in a typical metal nano-colloid are mainly due to the shift in the LSPR, which is caused because of electrical interactions of surface agents on the particles. There are some theoretical models to simulate the absorption spectrum, but using these methods to evaluate the plasmonic peak is not facile for a wide range of users. Here, the required simulations were performed for different values of the refractive index of surface agents and particle sizes, and the absorption spectrum and dispersive curves were accordingly plotted. A simple formula was obtained between the wavelength of the plasmonic peak, the refractive index of the shell of surface agents, and the ratio of the hydrodynamic diameter to Feret size of the particles (R0). The refractive index of the surface agents can be calculated by n2=λmax−(202.3R02−748.6R0+947.4)−152.2R02+561.3R0−405.1, where λmax (in nanometer) is the wavelength of the absorption peak due to LSPR. This method can pave the way for experimenters to obtain the refractive index and consequently the type of surface agents around Ag NPs without the need for numerical or mathematical operations. It can also be useful in analyzing the spectral diagnosis of biological agents such as viral antibodies and antigens.

show abstract

Application of Localized Surface Plasmon Resonance of Conjugated Gold Nanoparticles in Spectral Diagnosis of SARS-CoV-2: A Numerical Study

Cited by 3 publications

References 48 publications

Bonding states of gold/silver plasmonic nanostructures and sulfur-containing active biological ingredients in biomedical applications: a review

Bonding states of gold/silver plasmonic nanostructures and sulfur-containing active biological ingredients in biomedical applications: a review

Deep Learning Methods for Colloidal Silver Nanoparticle Concentration and Size Distribution Determination from UV–Vis Extinction Spectra

Simple method for optical characterization of surface agents on conjugated silver nanoparticles

Contact Info

Product

Resources

About