Correlation between the rate of silver nanoparticle oxidation and their biological activity: the role of the capping agent

Krutyakov, Yu. A.; Kudrinskiy, A. A.; Zherebin, Pavel M; Lisichkin, G. V.

doi:10.1007/s11051-019-4495-4

Cited by 7 publications

(11 citation statements)

References 55 publications

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“…At the same time, the maximum correlation r = −0.41 has been demonstrated between the NP toxicity to yeast cells, log 10 (MIC), and the hydrogen peroxide oxidation rate constant k' of silver NPs, hydrogen peroxide being the biologically significant oxidizer. It correlates well with the findings of the studies [55,67] on the biological activity of silver NP dispersions being dependent on the Ag + ion concentration and on the rate of Ag + ion generation during the oxidative dissolution of NPs.…”

Section: Evaluation Of Applicability Of Different Silver Np Charactersupporting

confidence: 89%

“…In particular, this may be due to the different efficacy of cell membrane binding for particles of various sizes. Moreover, the biological action of silver NPs, as shown in our previous work [55], depends on the NP dissolution speed followed by the release of much more active silver ions. Conversely, the dissolution speed is different for large and small particles and it depends on the particle surface area.…”

Section: Descriptor Selection For the Qnar Model Buildingmentioning

confidence: 68%

“…Specific surface area of silver NPs in the dispersion S sp was calculated according to [ 55 ] and summarized in Table 2 . The mean surface s and the mean volume w of the particles in the dispersion were calculated from the size distribution of the dispersion through the following equations

, where φ i is the fraction of particles with diameter d i in the dispersion according to the size distribution histograms;

is the surface area of a particle with diameter d i ; and

, where

is the volume of a particle with diameter d i ; S sp (m 2 /g) was calculated through the equation

, where ρ is the density of silver.…”

Section: Resultsmentioning

confidence: 99%

“…A variety of studies demonstrate that Ag + ions formed in an oxidative dissolution of silver NPs play an important role in the biological activity of silver NP dispersions. For several obtained dispersions there are quantitative literature data on the rate of silver NP oxidation with hydrogen peroxide, an oxidizer that is being constantly formed and exists in living cells [55,63]. These data could also be used as a descriptor for QNAR model building.…”

Section: Descriptor Selection For the Qnar Model Buildingmentioning

confidence: 99%

“…These data could also be used as a descriptor for QNAR model building. The data from our recent study [55] are also shown in Table 2. Table 2 contains experimental data characterizing structural, electrochemical and kinetic parameters of the dispersions obtained.…”

Section: Descriptor Selection For the Qnar Model Buildingmentioning

confidence: 99%

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New Relevant Descriptor of Linear QNAR Models for Toxicity Assessment of Silver Nanoparticles

et al. 2020

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The use of silver nanoparticles (NPs) in medical, industrial and agricultural fields is becoming more widespread every year. This leads to an increasing number of experimental toxicological and microbiological studies of silver NPs aimed at establishing the risk–benefit ratio for their application. The following key parameters affecting the biological activity of silver dispersions are traditionally taken into consideration: mean diameter of NPs, surface potential of NPs and equilibrium concentration of Ag+. These characteristics are mainly predetermined by the chemical nature of the capping agent used for stabilization. However, the extent to which they influence the biological activity and the toxicity of silver NPs varies greatly. In this work, dispersions of silver NPs stabilized with a wide array of substances of different chemical nature were used for quantitative evaluation of whether the various measurable properties of silver NPs fit as descriptors of linear QNAR (quantitative nanostructure–activity relationship) models for silver NP toxicity evaluation with respect to a model eukaryotic microorganism—Saccharomyces cerevisiae yeast cells. It was shown that among the factors that determine silver NP toxicity, the charge of particles, their colloidal stability and the ability to generate Ag+ ions carry more importance than the descriptors related to the particle size. A significant synergistic effect between the ζ-potential and the colloidal stability of silver NPs on their toxicity was also discovered. Following this, a new descriptor has been proposed for the integral characterization of the silver dispersion colloidal stability. According to the obtained data, it can be considered applicable for building QNAR models of higher efficacy. The validity testing of the proposed model for theoretical prediction of silver NP toxicity using a wide range of living organisms has shown that this new descriptor correlates with toxicity much better compared to most traditionally used descriptors. Consequently, it seems promising in terms of being used not only in situations involving the rather narrow array of the objects tested, but also for the construction of silver NP toxicity models with respect to other living organisms.

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Section: Evaluation Of Applicability Of Different Silver Np Charactersupporting

confidence: 89%

Section: Descriptor Selection For the Qnar Model Buildingmentioning

confidence: 68%

, where φ i is the fraction of particles with diameter d i in the dispersion according to the size distribution histograms;

is the surface area of a particle with diameter d i ; and

, where

is the volume of a particle with diameter d i ; S sp (m 2 /g) was calculated through the equation

, where ρ is the density of silver.…”

Section: Resultsmentioning

confidence: 99%

Section: Descriptor Selection For the Qnar Model Buildingmentioning

confidence: 99%

Section: Descriptor Selection For the Qnar Model Buildingmentioning

confidence: 99%

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New Relevant Descriptor of Linear QNAR Models for Toxicity Assessment of Silver Nanoparticles

et al. 2020

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A review on phytosynthesis, affecting factors and characterization techniques of silver nanoparticles designed by green approach

Bala

Rani

2020

Int Nano Lett

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Nature has a massive range of diverse species of flora. The phytochemical content of each plant may vary due to the diverse climate and different geographical areas. Several plants have been outlined for their reducing properties and highly exploited for the green synthesis of metal nanoparticles. Moreover, phytochemicals present in plant parts (leaf, root, flower, fruit, etc.) act as both reducing and capping agents for the production of nanoparticles. Plant-mediated nanoparticles have gained so much attention in the present era for its green and rational approach and developed as a green substitute to conventional synthesis approaches. This critical review encloses literature, phytosynthesis methods, and factors affecting the synthesis of silver nanoparticles. Also, the main characterization techniques especially, spectroscopic techniques are epigrammatically summarized and discussed here.

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Nanostructured Pd/Ag/Ni electrocatalysts for the Hydrogen Evolution Reaction

Medina-Orta,

Ortega,

Pérez-Herranz

et al. 2024

Materials Today Communications

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Correlation between the rate of silver nanoparticle oxidation and their biological activity: the role of the capping agent

Cited by 7 publications

References 55 publications

New Relevant Descriptor of Linear QNAR Models for Toxicity Assessment of Silver Nanoparticles

New Relevant Descriptor of Linear QNAR Models for Toxicity Assessment of Silver Nanoparticles

A review on phytosynthesis, affecting factors and characterization techniques of silver nanoparticles designed by green approach

Nanostructured Pd/Ag/Ni electrocatalysts for the Hydrogen Evolution Reaction

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