Continuous Flow Synthesis of Copper Oxide Nanoparticles Enabling Rapid Screening of Synthesis-Structure-Property Relationships.

An adjustable and scalable method for the continuous flow synthesis of cupric oxide nanoparticles (CuO NPs), targetted the reduction of their activity to synthetic biomembranes to inform the fabrication of nanoparticles (NPs) with reduced toxicity for commercial applications. By manipulating key factors; temperature, residence time, and the ratio of precursor to reductant, precise control over the morphology of CuO NPs is achieved with X-ray diffraction (XRD) and transmission electron microscopy (TEM) confirming the formation of needle-shaped CuO NPs. One-variable-at-a-time studies reveal a relationship between the synthesis conditions and the characteristics of the resultant NPs, with CuO NPs varying controllably between 10-50 nanometres in length and 4-10 nanometres in width.

Biophysical Analysis of Therapeutic Antibodies in the Early Development Pipeline.

The successful progression of therapeutic antibodies and other biologics from the laboratory to the clinic depends on their possession of "drug-like" biophysical properties. The techniques and the resultant biophysical and biochemical parameters used to characterize their ease of manufacture can be broadly defined as developability. Focusing on antibodies, this review firstly discusses established and emerging biophysical techniques used to probe the early-stage developability of biologics, aimed towards those new to the field.

Rationalizing mAb Candidate Screening Using a Single Holistic Developability Parameter.

A framework for the rational selection of a minimal suite of nondegenerate developability assays (DAs) that maximize insight into candidate developability or storage stability is lacking. To address this, we subjected nine formulation:mAbs to 12 mechanistically distinct DAs together with measurement of their accelerated and long-term storage stability. We show that it is possible to identify a reduced set of key variables from this suite of DAs by using orthogonal statistical methods.