Machine Learning of Microscopic Ingredients for Graphene Oxide/Cellulose Interaction.

Understanding the role of microscopic attributes in nanocomposites allows one to control and, therefore, accelerate experimental system designs. In this work, we extracted the relevant parameters controlling the graphene oxide binding strength to cellulose by combining first-principles calculations and machine learning algorithms. We were able to classify the systems among two classes with higher and lower binding energies, which are well defined based on the isolated graphene oxide features. Using theoretical X-ray photoelectron spectroscopy analysis, we show the extraction of these relevant features. In addition, we demonstrate the possibility of refined control within a machine learning regression between the binding energy values and the system's characteristics. Our work presents a guiding map to control graphene oxide/cellulose interaction.

Conformational analysis of tannic acid: Environment effects in electronic and reactivity properties.

Polyphenols are natural molecules of crucial importance in many applications, of which tannic acid (TA) is one of the most abundant and established. Most high-value applications require precise control of TA interactions with the system of interest. However, the molecular structure of TA is still not comprehended at the atomic level, of which all electronic and reactivity properties depend. Here, we combine an enhanced sampling global optimization method with density functional theory (DFT)-based calculations to explore the conformational space of TA assisted by unsupervised machine learning visualization and then investigate its lowest energy conformers. We study the external environment's effect on the TA structure and properties. We find that vacuum favors compact structures by stabilizing peripheral atoms' weak interactions, while in water, the molecule adopts more open conformations. The frontier molecular orbitals of the conformers with the lowest harmonic vibrational free energy have a HOMO-LUMO energy gap of 2.21 (3.27) eV, increasing to 2.82 (3.88) eV in water, at the DFT generalized gradient approximation (and hybrid) level of theory. Structural differences also change the distribution of potential reactive sites. We establish the fundamental importance of accurate structural consideration in determining TA and related polyphenol interactions in relevant technological applications.

Recent Advances in Immunosafety and Nanoinformatics of Two-Dimensional Materials Applied to Nano-imaging.

Two-dimensional (2D) materials have emerged as an important class of nanomaterials for technological innovation due to their remarkable physicochemical properties, including sheet-like morphology and minimal thickness, high surface area, tuneable chemical composition, and surface functionalization. These materials are being proposed for new applications in energy, health, and the environment; these are all strategic society sectors toward sustainable development. Specifically, 2D materials for nano-imaging have shown exciting opportunities in in vitro and in vivo models, providing novel molecular imaging techniques such as computed tomography, magnetic resonance imaging, fluorescence and luminescence optical imaging and others. Therefore, given the growing interest in 2D materials, it is mandatory to evaluate their impact on the immune system in a broader sense, because it is responsible for detecting and eliminating foreign agents in living organisms. This mini-review presents an overview on the frontier of research involving 2D materials applications, nano-imaging and their immunosafety aspects. Finally, we highlight the importance of nanoinformatics approaches and computational modeling for a deeper understanding of the links between nanomaterial physicochemical properties and biological responses (immunotoxicity/biocompatibility) towards enabling immunosafety-by-design 2D materials.

On the formation of protein corona on colloidal nanoparticles stabilized by depletant polymers.

To counter the undesired colloidal destabilization of nanoparticles in biologically-compatible media of high ionic strength (i.e. NaCl, phosphate buffer), polymers can be added to nanoparticle suspensions that will be used in biomedical applications. In these suspensions, polymers can promote high colloidal stability by manifestation of steric and/or depletion forces. However, little is known about the influence of these polymers on the interactions between nanoparticles and the biological components of the organism, such as proteins and cells. In this work, it was shown that the addition of the polymers (i) Pluronic-F127 (PF127), (ii) polyethylene glycol (PEG) of different molecular weights - 1.5, 12 and 35 kDa - and (iii) the protein bovine serum albumin (BSA) on colloidal silica nanoparticles (CSNPs; 135 nm) dispersed in phosphate-buffered saline (PBS) largely alter their colloidal stability through different mechanisms. Although all polymers were adsorbed on the CSNP surface, BSA maintained the CSNP dispersion in the medium by electrosteric stabilization mechanisms, while PEG and PF127 led to the occurrence of depletion forces between the particles. In addition, it was found that the interactions between polymers and CSNPs did not prevent proteins to access the nanoparticles' surface and have minimal effect on the formation of the protein corona when they were incubated in human blood plasma. On the other hand, BSA had a greater effect on the CSNP protein corona profile compared to other polymers (PEG and PF127). Together, these results confirm that biocompatible polymers PEG and PF127 can be used as colloidal stabilizing agents for nanoparticles since they preserve the accessibility of biomolecules to the nanoparticle surface, and they have little effect on the protein corona composition.