Effects of syringe material and silicone oil lubrication on the stability of pharmaceutical proteins.

Currently, polymer-based prefillable syringes are being promoted to the pharmaceutical market because they provide an increased break resistance relative to traditionally used glass syringes. Despite this significant advantage, the possibility that barrel material can affect the oligomeric state of the protein drug exists. The present study was designed to compare the effect of different syringe materials and silicone oil lubrication on the protein aggregation. The stability of a recombinant fusion protein, abatacept (Orencia), and a fully human recombinant immunoglobulin G1, adalimumab (Humira), was assessed in silicone oil-free (SOF) and silicone oil-lubricated 1-mL glass syringes and polymer-based syringes in accelerated stress study. Samples were subjected to agitation stress, and soluble aggregate levels were evaluated by size-exclusion chromatography and verified with analytical ultracentrifugation. In accordance with current regulatory expectations, the amounts of subvisible particles resulting from agitation stress were estimated using resonant mass measurement and dynamic flow-imaging analyses. The amount of aggregated protein and particle counts were similar between unlubricated polymer-based and glass syringes. The most significant protein loss was observed for lubricated glass syringes. These results suggest that newly developed SOF polymer-based syringes are capable of providing biopharmaceuticals with enhanced physical stability upon shipping and handling.

[Study on the characteristic parameter of oil spectrometric analysis].

This paper establishes a new mathematics model of fault diagnosis basis of oil spectrometric analysis by means of long time following up the mechanical equipment's lubrication oil. The characteristic parameter of oil spectrometric analysis has been confirmed using a new way that the laboratory experiment study and the mechanical equipment's lubrication oil spectrometric analysis are combined in order to confirm the time of fault and avoid serious fault. It will provide the academic and actual basis for RCM and enhance the dependability. The result of examples proves that the characteristic parameter of oil spectrometric analysis has very high stability and veracity. This method has been proved that it was effective in fault diagnosis basis of oil spectrometric analysis.