Tuning the properties of PS-block copolymers and their assembly into polymersomes.

The diblock copolymer polystyrene-b-polyisocyanoalanine(2-thiophene-3-yl-ethyl)amide (PS-PIAT) was prepared by reacting the isocyanide monomer (1) with a Ni(ii) initiator complex prepared from polystyrene amine (PS40NH2), either obtained by atom transfer radical polymerization (ATRP) or anionic polymerization (AP). It was found that polymerization of optically pure 1 followed first-order kinetics in monomer concentration and resulted in the formation of insoluble block copolymers, whereas the rate of polymerization of optical mixtures of 1 was retarded and yielded block copolymers that were better soluble. Furthermore, PS-PIAT polymersomes of which the PS-block was prepared by AP were more stable than polymersomes of which the PS-block was prepared by ATRP, as was indicated by combined turbidity and dynamic light scattering (DLS) measurements on the aggregate solutions.

Enzymes containing porous polymersomes as nano reaction vessels for cascade reactions.

Polystyrene(40)-b-poly(isocyanoalanine(2-thiophen-3-yl-ethyl)amide)(50) (PS-PIAT) polymersomes have the unique property of being sufficiently porous to allow diffusion of small (organic) substrates while retaining large biomolecules such as enzymes inside. Herein we report on the encapsulation and protection of glucose oxidase (GOx) and horse radish peroxidase (HRP) in PS-PIAT polymersomes and the successful employment of these functionalised nanoreactors in a cascade reaction. The demonstrated concept allows for further application in other enzymatic cascade reactions, bio-organic hybrid systems and biosensing devices.

The Application of Noninvasive Headspace Analysis to Media Fill Inspection.

The results of a proof-of-principle study demonstrating a new analytical technique for detecting microbial growth directly in pharmaceutical containers are described. This analytical technique, laser-based headspace analysis, uses tunable diode laser absorption spectroscopy to nondestructively determine gas concentrations in the headspace of a media-filled pharmaceutical container. For detecting microbial growth, the levels of headspace oxygen and carbon dioxide are measured. Once aerobic microorganisms begin to divide after the lag phase and enter the exponential growth phase, there will be significant consumption of oxygen and concomitant production of carbon dioxide in the sealed container. Laser-based headspace analysis can accurately measure these changes in the headspace gas composition. The carbon dioxide and oxygen measurement data for the representative microorganisms Staphylococcus aureus, Bacillus subtilis, Candida albicans, and Aspergillus brasiliensis were modeled using the Baranyi-Roberts equation. The mathematical modeling allowed quantitative comparisons to be made between the data from the different microorganisms as well as to the known growth curves based on microbial count. Because laser-based headspace analysis is noninvasive and can be automated to analyze the headspace of pharmaceutical containers at inspection speeds of several hundred containers per minute on-line, some potential new applications are enabled. These include replacing the current manual human visual inspection with an automated analytical inspection machine to determine microbial contamination of media fill and pharmaceutical drug product vials. LAY ABSTRACT: A novel analytical technique has been demonstrated for detecting microbial growth in media-filled pharmaceutical containers. This analytical technique, laser-based headspace analysis, uses tunable diode laser absorption spectroscopy to determine gas concentrations in the headspace of a pharmaceutical container. For detecting microbial growth, the levels of headspace oxygen and carbon dioxide are measured. The study shows that once aerobic microorganisms begin to grow after the lag phase and enter the exponential growth phase there will be a significant consumption of oxygen in the sealed container as well as a corresponding production of carbon dioxide. Headspace analysis can accurately measure and monitor these changes in the headspace gas composition and could therefore be used to detect contaminated pharmaceutical containers. Because the technique can be automated to analyze hundreds of containers a minute on-line, there are opportunities for implementing a headspace inspection machine to perform automated inspection of media fills used to validate aseptic filling operations.