Influence of Reagents on the Synthesis Process and Shape of Silver Nanoparticles

Abstract

The aim of this study was to prepare the silver nanoparticles (AgNPs) via chemical reduction and analyze the impact of used reduction agents: sodium borohydride (NaBH4), trisodium citrate (TSC), polyvinylpyrrolidone (PVP), and hydrogen peroxide (H2O2) on the reduction rate of Ag+ ions to Ag0, and on nanoparticles shape. It was proven that combinations of reduction agents dramatically influence the synthesis rate of AgNPs and the color of solutions, which depends on the shape and size of nanoparticles. NaBH4, TSC, and PVP showed good reduction power. In particular, TSC proved to be a key factor influencing the shape of AgNPs. The shape of nanoparticles influences the color of colloidal solutions. Yellow solutions, where UV-vis absorbance maxima (ABSmax) are in the wavelength interval 380–420 nm, contain spherical particles with a mean size of 25 nm, whereas the blue shift of ABSmax to wavelengths higher than 750 nm indicate the presence of triangular nanoparticles (size interval 18–150 nm). A mixture of spherical, triangular, irregular, and hexagonal nanoparticles give different color, e.g., green. The formation and stability of AgNPs was tracked by UV-vis spectroscopy, size and shape by TEM techniques, and particle size distribution was studied by particle size analyzer.

“Magnet” Based on Activated Silver Nanoparticles Adsorbed Bacteria to Predict Refractory Apical Periodontitis Via Surface-Enhanced Raman Scattering

“…UV–visible spectroscopy to characterize Ag@BO nanoparticles showed an absorption peak at 398 nm (Figure E), consistent with literature reports, proving that Ag@BO nanoparticles were appropriately prepared. Ag@BO nanoparticles, Ag@BON nanoparticles, and E.…”

“…36−38 With the integration of machine learning technology, the obtained SERS fingerprints were quickly discriminated against and distinguished by the artificial intelligence recognition system (Figure 1D), making the output of SERS fingerprints more intuitive and the interpretation of detection results easier, which contributed to the development of SERS technology in clinical work. UV−visible spectroscopy to characterize Ag@BO nanoparticles showed an absorption peak at 398 nm (Figure 1E), consistent with literature reports, 39 proving that Ag@BO nanoparticles were appropriately prepared. Ag@BO nanoparticles, Ag@BON nanoparticles, and E. faecalis with Ag@ BON nanoparticles were characterized by TEM, and it was found that Ag@BO nanoparticles had a small diameter and a loose distribution (Figure 1F).…”

Biosynthesis, characterization, and antifungal activity of plant-mediated silver nanoparticles using Cnidium monnieri fruit extract

“…Reference The preparation method of bare AgNPs and make appropriate modifications ( Bharti et al, 2021 ; Fu et al, 2021 ; Jassim et al, 2022 ; Velgosova et al, 2022 ). 9.45 mg of NaBH 4 Was weighed and added To 25 mL of NaOH solution (0.…”

Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.

“… The order of reagents was ranked third. The order can affect the nucleation and growth processes involved in synthesis [75] . Controlling the sequence of reagent addition, can influence the formation, capturing critical information about the kinetics and thermodynamics of nucleation and growth, and making it a significant predictor.…”