scholarly journals A Multi-Scale Modelling of Aggregation of TiO2 Nanoparticle Suspensions in Water

Author(s):  
Giulia Mancardi ◽  
Matteo Alberghini ◽  
Neus Aguilera-Porta ◽  
Monica Calatayud ◽  
Pietro Asinari ◽  
...  

Titanium dioxide nanoparticles have risen concerns about their possible toxicity and the European Food Safety Authority recently banned the use of TiO2 nano-additive in food products. Following the intent of relating nanomaterials atomic structure with their toxicity without having to conduct large scale experiments on living organisms, we investigate the aggregation of titanium dioxide nanoparticles using a multi-scale technique: starting from ab initio Density Functional Theory to get an accurate determination of the energetics and electronic structure, we switch to classical Molecular Dynamics simulations to calculate the Potential of Mean Force for the connection of two identical nanoparticles in water; the fitting of the latter by a set of mathematical equations is the key for the upscale. Lastly, we perform Brownian Dynamics simulations where each nanoparticle is a spherical bead. This coarsening strategy allows studying the aggregation of a few thousand nanoparticles. Applying this novel procedure, we find three new molecular descriptors, namely, the aggregation free energy and two numerical parameters used to correct the observed deviation from the aggregation kinetic described by the Smoluchowski theory. Molecular descriptors can be fed into QSAR models to predict the toxicity of a material knowing its physicochemical properties, without having to conduct large scale experiments on living organisms.

Nanomaterials ◽  
2022 ◽  
Vol 12 (2) ◽  
pp. 217
Author(s):  
Giulia Mancardi ◽  
Matteo Alberghini ◽  
Neus Aguilera-Porta ◽  
Monica Calatayud ◽  
Pietro Asinari ◽  
...  

Titanium dioxide nanoparticles have risen concerns about their possible toxicity and the European Food Safety Authority recently banned the use of TiO2 nano-additive in food products. Following the intent of relating nanomaterials atomic structure with their toxicity without having to conduct large-scale experiments on living organisms, we investigate the aggregation of titanium dioxide nanoparticles using a multi-scale technique: starting from ab initio Density Functional Theory to get an accurate determination of the energetics and electronic structure, we switch to classical Molecular Dynamics simulations to calculate the Potential of Mean Force for the connection of two identical nanoparticles in water; the fitting of the latter by a set of mathematical equations is the key for the upscale. Lastly, we perform Brownian Dynamics simulations where each nanoparticle is a spherical bead. This coarsening strategy allows studying the aggregation of a few thousand nanoparticles. Applying this novel procedure, we find three new molecular descriptors, namely, the aggregation free energy and two numerical parameters used to correct the observed deviation from the aggregation kinetics described by the Smoluchowski theory. Ultimately, molecular descriptors can be fed into QSAR models to predict the toxicity of a material knowing its physicochemical properties, enabling safe design strategies.


2006 ◽  
Vol 6 (1) ◽  
pp. 87-90 ◽  
Author(s):  
Giannis Mpourmpakis ◽  
Emmanuel Tylianakis ◽  
George Froudakis

A Combination of quantum and classical calculations has been performed to investigate the hydrogen storage in single-walled carbon nanotubes (SWNTs). The ab-initio calculations at the Density Functional level of Theory (DFT) show the nature of hydrogen interaction in selected sites of a (5,5) tube walls. On top of this, Molecular Dynamics simulations model large scale nanotube systems and reproduce the storage capacity under variant temperature conditions. Our results indicate that the interaction of hydrogen with SWNTs is very weak and slightly increase of temperature, causes hydrogen diffusion from the tube walls.


2005 ◽  
Vol 109 (32) ◽  
pp. 15243-15249 ◽  
Author(s):  
Pavan K. Naicker ◽  
Peter T. Cummings ◽  
Hengzhong Zhang ◽  
Jillian F. Banfield

2019 ◽  
Vol 75 ◽  
pp. 40-53 ◽  
Author(s):  
Jing Hou ◽  
Luyao Wang ◽  
Chunjie Wang ◽  
Songlin Zhang ◽  
Haiqiang Liu ◽  
...  

RSC Advances ◽  
2015 ◽  
Vol 5 (129) ◽  
pp. 106877-106885 ◽  
Author(s):  
Tianshi Zhang ◽  
Patrick Wojtal ◽  
Oleg Rubel ◽  
Igor Zhitomirsky

The outstanding adsorption properties of proteins, containing catecholic amino acid, 1,3,4-dihydroxyphenylalanine, and recent advances in nanoparticle functionalization using catecholates have generated interest in catecholate adsorption.


2021 ◽  
Vol 4 (1) ◽  
pp. 1-21
Author(s):  
Bogdan Andreii Miu ◽  
Anca Dinischiotu

In the green synthesis of titanium dioxide nanoparticles (TiO2 NPs) chemical reagents are replaced with biological extracts. Conventional methods used in the manufacture of TiO2 NPs raise environmental issues as they use harmful chemicals and spend a high amount of energy. At a laboratory scale, biologically synthesized titanium dioxide nanoparticles (bio-TiO2 NPs) proved to be a suitable alternative to the chemically synthesized ones. The biological activity of NPs is mainly determined by their shape, size and crystalline structure. However, these characteristics are hardly controlled when natural sources of reagents are used and so bio-TiO2 NPs did not reach an advanced technology readiness level. In this paper, we reviewed the majority of the available studies referring to bio-TiO2 NPs. Our aim is to briefly present the efficiency of biochemicals from different living organisms in producing TiO2 nano-scale particles as well as the benefits bio-TiO2 NPs would bring to the biomedical, agricultural and industrial sectors. Finally, based on the available data we discuss the sustainability of bio-TiO2 NPs referring to their possible environmental, economic and societal impacts.


2006 ◽  
Vol 21 (3) ◽  
pp. 563-573 ◽  
Author(s):  
John A. Moriarty ◽  
Lorin X. Benedict ◽  
James N. Glosli ◽  
Randolph Q. Hood ◽  
Daniel A. Orlikowski ◽  
...  

First-principles generalized pseudopotential theory (GPT) provides a fundamental basis for transferable multi-ion interatomic potentials in transition metals and alloys within density-functional quantum mechanics. In the central body-centered cubic (bcc) metals, where multi-ion angular forces are important to materials properties, simplified model GPT (MGPT) potentials have been developed based on canonical d bands to allow analytic forms and large-scale atomistic simulations. Robust, advanced-generation MGPT potentials have now been obtained for Ta and Mo and successfully applied to a wide range of structural, thermodynamic, defect, and mechanical properties at both ambient and extreme conditions. Selected applications to multiscale modeling discussed here include dislocation core structure and mobility, atomistically informed dislocation dynamics simulations of plasticity, and thermoelasticity and high-pressure strength modeling. Recent algorithm improvements have provided a more general matrix representation of MGPT beyond canonical bands, allowing improved accuracy and extension to f-electron actinide metals, an order of magnitude increase in computational speed for dynamic simulations, and the development of temperature-dependent potentials.


2003 ◽  
Vol 68 (12) ◽  
pp. 2231-2282 ◽  
Author(s):  
Jiří Šponer ◽  
Pavel Hobza

Ab initio quantum-chemical calculations with inclusion of electron correlation significantly contributed to our understanding of molecular interactions of DNA and RNA bases. Some of the most important findings are introduced in the present overview: structures and energies of hydrogen bonded base pairs, nature of base stacking, interactions between metal cations and nucleobases, nonplanarity of isolated nucleobases and other monomer properties, tautomeric equilibria of nucleobases, out-of-plane hydrogen bonds and amino acceptor interactions. The role of selected molecular interactions in nucleic acids is discussed and representative examples where these interactions occur are given. Also, accuracy of density functional theory, semiempirical methods, distributed multipole analysis and empirical potentials is commented on. Special attention is given to our very recent reference calculations on base stacking and H-bonding. Finally, we briefly comment on the relationship between advanced ab initio quantum-chemical methods and large-scale explicit solvent molecular dynamics simulations of nucleic acids.


2019 ◽  
Vol 18 (03n04) ◽  
pp. 1940082
Author(s):  
M. Bernasconi

We review our results on large-scale atomistic simulations of the phase change compound GeTe of interest for applications in nonvolatile electronic memories. The simulations are based on an interatomic potential with an accuracy close to that of the density functional theory (DFT). The potential was generated by fitting a DFT database by means of an artificial neural network method. This methodological advance allowed us to perform molecular dynamics simulations with several thousand atoms for several ns that provided useful insights on several properties of interest for the operation of phase change memories, including the crystallization kinetics, the dynamics of the supercooled liquid, the structural relaxation in the glass and the properties of nanowires.


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