Simulation of high-concentration self-interactions for monoclonal antibodies from well-behaved to poorly-behaved systems

Attractive self-interactions of therapeutic proteins are linked to problematic solution behaviors at high protein concentrations such as reversible or irreversible aggregation, high viscosity, opalescence, phase separation, and low solubility. Prediction of attractive self-interactions early in development can improve the processes of formulation development and candidate selection. To that end, a coarse-grained model with explicit representation of charged sites was used to accurately predict a broad range of protein self-interactions at high protein concentrations (up to 160 mg/ml) for multiple monoclonal antibodies and formulations, including strong electrostatic attractions, with static light scattering measurements at low protein concentrations as the only experimental input. In addition, Mayer-weighted electrostatic energies for charged residues from these simulations can contribute to understanding of electrostatic interactions and guide the development of protein variants.     

Dual solution of heat transfer in hydromagnetic micropolar fluid flow over a stretching sheet in a porous media: A numerical approach

In this study, the researcher looks at the heat transmission of an incompressible magnetohydrodynamics micropolar fluid across a moving stretched surface in a Darcian permeable medium. The proper boundary conditions are used to facilitate the numerical solution (bvp4c) of the transformed governing equations. Graphical discussions have been made of the influence of the physical parameters on the velocity, angular velocity (microrotation), and temperature, and the distributions are accentuated on the plots via MATLAB. The study is validated by the previous work and it is found appropriate for investigation, where the absolute difference between the previous work and the present investigation by adopting the finite difference scheme is smaller than which implies that the scheme is stable and convergent. The microrotation has a great impact on the micropolar fluid with the influences of buoyancy forces, source, and suction over the stretching surface in a Darcian regime. With a rise in the heat source parameter, both velocity and microrotational profiles lessen, but the opposite is true for temperature. Eringen number () rises with the flow velocity, whereas temperature and microrotational profiles show the reverse relationship. The current study focused on particular applications in non-Newtonian fluid mechanics, polymer flows in filtration systems and metallurgical procedures that included cooling unbroken strips or filaments via a static fluid.     

Pen Plotter as a Low-Cost Platform for Rapid Device Prototyping with Solution-Processable Nanomaterials

The use of inexpensive benchtop plotters in combination with refillable writing pens and markers as a powerful route to print nanomaterial-based inks on paper substrates is studied. It is proved that this approach is very robust, it can be used to print inks of many different solution-processable nanomaterials, and is very precise, allowing pattern features with pitch separation as narrow as 80 μm. The general character of this printing platform by printing van der Waals materials, organic semiconductors, hybrid perovskites and colloidal nanoparticles with a broad range of properties (from insulators to superconductors) is illustrated. The system is used to easily create several example applications such as an all-printed, paper-supported photodetector. This printing platform can be very helpful for research groups with a wealth of expertise in synthesis of solution-processable nanomaterials but that lack the infrastructure, resources, and expertise to perform traditional inkjet printing for fast device prototyping.