Rare Earth Elements Recovery Using Selective Membranes via Extraction and Rejection.

Recently, demands for raw materials like rare earth elements (REEs) have increased considerably due to their high potential applications in modern industry. Additionally, REEs' similar chemical and physical properties caused their separation to be difficult. Numerous strategies for REEs separation such as precipitation, adsorption and solvent extraction have been applied. However, these strategies have various disadvantages such as low selectivity and purity of desired elements, high cost, vast consumption of chemicals and creation of many pollutions due to remaining large amounts of acidic and alkaline wastes. Membrane separation technology (MST), as an environmentally friendly approach, has recently attracted much attention for the extraction of REEs. The separation of REEs by membranes usually occurs through three mechanisms: (1) complexation of REE ions with extractant that is embedded in the membrane matrix, (2) adsorption of REE ions on the surface created-active sites on the membrane and (3) the rejection of REE ions or REEs complex with organic materials from the membrane. In this review, we investigated the effect of these mechanisms on the selectivity and efficiency of the membrane separation process. Finally, potential directions for future studies were recommended at the end of the review.

Novel bioengineered MBenes for the treatment of Alzheimer's disease: An in-Sillico study.

Alzheimer's disease is a neurodegenerative disease caused by the deposition and accumulation of amyloid-ß (Aß) peptides in the brain neurons. Current medications are not a definitive cure for this disease, but they can hamper the signs and symptoms of Alzheimer's disease. Therefore, prevention is the best way to deal with this disease. In this study, the novel structures based on MBenes (such as Cd2B, Mo2B, Cu2B, and Ta2B) are proposed to prevent amyloid-ß accumulation in Alzheimer's disease. Regarding the remarkable MBene properties such as tunability, biocompatibility, and low manufacturing cost, the effect of these structures on amyloid-ß deformation was explored using molecular dynamics simulation. To provide an atomic analysis of Beta-amyloid behavior in the presence of these structures, the compaction, contact area, and stability of Beta-amyloid were investigated. The results indicated the satisfactory performance of MBenes on the destabilization of amyloid-ß structures. Moreover, given the higher interactions between Cd2B and amyloid-ß, the instability, compaction, and the contact area of amyloid-ß particles were investigated in this complex. The findings confirmed Cd2B as the best structure to prevent amyloid-ß accumulation. The results of this investigation paved the way for the development of these structures as a medicinal agent to prevent Alzheimer's disease.

In-silico study on perovskites application in capturing and distorting coronavirus.

The COVID-19 pandemic, known as coronavirus pandemic, a global pandemic, emerged from the beginning of 2020 and became dominant in many countries. As COVID-19 is one of the deadliest pandemics in history and has a high rate of distribution, a fast and extensive reaction was needed. Considering its composition, revealing the infection mechanism is beneficial for effective decisions against the spread and attack of COVID-19. Investigating data from numerous studies confirms that the penetration of SARS-CoV-2 occurs along with bonding spike protein (S protein) and through ACE2; Therefore, these two parts were the focus of research on the suppression and control of the infection. Performing lab research on all promising candidates requires years of experimental study, which is time-consuming and not an acceptable solution. Molecular dynamic simulation can decipher the performance of nano-structures in preventing the spread of coronavirus in a shorter time. This study surveyed the effect of three nano-perovskite structures (SrTiO3, CaTiO3, and BaTiO3), a cutting-edge group of perovskite materials with outstanding properties on coronavirus. Various computational parameters evaluate the effectiveness of these structures. Results of the simulation indicated that SrTiO3 performs better in SARS-CoV-2 suppression.

Potential treatment of Parkinson's disease using new-generation carbon nanotubes: a biomolecular in silico study.

Background: One of the underlying mechanisms of Parkinson's disease is the aggregation of α-synuclein proteins, including amyloids and Lewy bodies in the brain. Aim: To study the inhibitory effect of doped carbon nanotubes (CNTs) on amyloid aggregation. Materials & methods: Molecular dynamics tools were utilized to simulate the influence of CNTs doped with phosphorus, nitrogen and bromine and nitrogen on the formation of α-synuclein amyloid. Results: The CNTs exhibited strong interactions with α-synuclein, with phosphorus-doped CNTs having the most substantial interactions. Conclusion: Doped-CNTs, especially phosphorus-doped carbon nanotube could effectively prevent α-synuclein amyloid formation, thus, it could be considered as a potential treatment for Parkinson's disease. However, further in vitro and clinical investigations are required.

Molecular Tuning of the Nano-Bio Interface: Alpha-Synuclein's Surface Targeting with Doped Carbon Nanostructures.

Carbon nanoparticles are becoming promising agents in treating Parkinson's disease (PD) by preventing the folding and aggregation of α-synuclein, i.e., amyloid formation. Herein, for the first time, highly tunable graphene and carbon nanotubes (CNTs) have been doped using biocompatible silicon atoms for preventing Parkinson's disease. In this study, the conformational changes induced by these nanoparticles, the compactness of nanoparticles, the number of hydrogen bonds, the stability of α-synuclein in the presence of nanoparticles, and the interaction energies between α-synuclein and nanoparticles were investigated using microsecond coarse-grained and all-molecular-atom simulations. Although the nanoparticles considered in this study could induce desirable changes in α-synuclein conformations, Si-graphene (silicon-doped graphene) demonstrated the best performance. Si-graphene showed the highest interaction energy with α-synuclein compared to other nanoparticles, induced the most hydrogen bonds, was the least compact, and showed the most unstable α-synuclein conformation, resulting in the highest capability to prevent the folding and aggregation of α-synuclein. Our results displayed that 2D hexagonal structures, such as graphene and Si-graphene, possess better performance than tubular structures in inducing conformational changes in the α-synuclein protein. Furthermore, it was observed that the doping of silicon in graphene and CNT results in better folding and aggregation of α-synuclein prevention. This molecular investigation offers a nanostructure method in PD treatment.