Use of Raman spectroscopy and PCA for quality evaluation and out-of-specification identification in biopharmaceutical products.

Over the past three decades, there was a remarkable growth in the approval of antibody-based biopharmaceutical products. These molecules are notably susceptible to the stresses occurring during drug manufacturing, often leading to structural alterations. A key concern is thus the ability to detect and comprehend these alterations caused by processes, such as aggregation, fragmentation, oxidation levels, as well as the change in protein concentration throughout the process steps, potentially resulting in out-of-spec products.

Use of machine learning tools and NIR spectra to estimate residual moisture in freeze-dried products.

Residual Moisture (RM) in freeze-dried products is one of the most important critical quality attributes (CQAs) to monitor, since it affects the stability of the active pharmaceutical ingredient (API). The standard experimental method adopted for the measurements of RM is the Karl-Fischer (KF) titration, that is a destructive and time-consuming technique. Therefore, Near-Infrared (NIR) spectroscopy was widely investigated in the last decades as an alternative tool to quantify the RM.

Integration of binding peptide selection and multifunctional particles as tool-box for capture of soluble proteins in serum.

In this paper, we report on a general approach for the detection of a specific tumoural biomarker directly in serum. Such detection is made possible using a protein-binding peptide selected through an improved phage display technique and then conjugated to engineered microparticles (MPs). Protein biomarkers represent an unlimited source of information for non-invasive diagnostic and prognostic tests; MP-based assays are becoming largely used in manipulation of soluble biomarkers, but their direct use in serum is hampered by the complex biomolecular environment.

PLGA microspheres by Supercritical Emulsion Extraction: a study on insulin release in myoblast culture.

Supercritical Emulsion Extraction in a Continuous operation layout is proposed for the production of poly-lactic-co-glycolic acid (PLGA) microspheres loaded with insulin, selected as a model of bioactive signal. Microspheres with different mean sizes of 2 μm (±0.9 μm) and 3 μm (±2.

Injectable PLGA/hydrocortisone formulation produced by continuous supercritical emulsion extraction.

The objective of the present study was to develop an anti-inflammatory prolonged action formulation for local injection in prefilled syringes. Hydrocortisone acetate (HA) was selected as a model corticosteroid drug to be incorporated in poly(lactic-co-glycolic) (PLGA) microspheres. The formulation was obtained by supercritical emulsion extraction in continuous operation layout (SEE-C) to test the process robustness for a continuous industrial production.

PLGA microdevices for retinoids sustained release produced by supercritical emulsion extraction: continuous versus batch operation layouts.

Retinyl acetate (RA) was selected as a model compound to be entrapped in poly(lactic-co-glycolic)acid (PLGA) microspheres using supercritical emulsion extraction (SEE). Several oil-in-water emulsions prepared using acetone and aqueous glycerol (80% glycerol, 20% water) were processed using supercritical carbon dioxide (SC-CO2 ) to extract the oily phase and to induce microspheres formation. The characteristics of the microspheres obtained by conventional liquid emulsion extraction and SEE were also compared: SEE produced spherical and free flowing microspheres, whereas the conventional liquid-liquid extraction showed large intraparticles aggregation.