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PharmTech
Latest Issue
PharmTech Europe
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News from Europe's pharmaceutical manufacturing industry coupled with upcoming events, and exclusive articles and interviews from industry experts. |
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Understanding powder behaviour
The needs of the pharmaceutical industry for powder testing technologies are changing, primarily for two reasons. The first is that global economics, and the economics and competitiveness of the pharmaceutical industry itself, are driving manufacturers towards achieving greater efficiency. Success here demands a real understanding of all the factors at work in a manufacturing process. A second significant issue is the increasing sophistication and complexity of many of today’s, and certainly of emerging, pharmaceutical formulations dry powder inhalers being just one example. Demanding formulations designed to achieve highly effective and often specifically targeted, drug delivery present an array of new manufacturing challenges. As the manufacture of most pharmaceutical formulations involves powders at some stage, understanding how those powders will behave under specific conditions helps in making informed decisions about process design, development and optimisation. One of the most important considerations is to be able to measure powders in a process relevant way. Manufacturers of powder testing systems have to appreciate the challenges that development scientists face, the complexity of powder processing and, most of all, how measurable powder properties relate to in-process behaviour. Over the years, a variety of pragmatic solutions have been established for testing powders. Manufacturers of modern powder testing equipment, such as the FT4 Powder Rheometer, have extended their application and added new, dynamic methodologies, bringing into one system a set of complementary techniques that together are able to better reflect a powder’s response to processing conditions.
What are the drawbacks of existing technologies? As in many fields, developments in automation are helping to tackle the problem of variability, bringing significant advances towards better reproducibility. A well-defined analytical protocol, enshrined in an automation sequence, eliminates much of the variability associated with an analytical technique and makes it simple to transfer. Sample preparation is also the subject of greater attention in the search for enhanced reproducibility. As our understanding of powders has increased, it has become clear that the apparently changeable behaviour observed in processes is also an issue during analysis. Powder samples carry their history with them and their properties are influenced by an array of variables. A sample that has been vibrated and consolidated during transport and storage will exhibit very different properties from one extracted from a pneumatic conveyor and analysed immediately, even if the two are identical in terms of composition, particle size and particle shape. The latest analytical approaches increasingly recognise this and give sample preparation the attention it deserves. And better reproducibility isn’t, of course, just a laudable aim it is essential to the sensitivity of a technique. If reproducibility is low then it is impossible to determine whether or not a given result is simply an artefact of the analysis or the sample. As technology advances and reproducibility improves, powder properties are becoming more clearly defined and the surrounding ‘noise’ has diminished, accelerating our ability to grow a real understanding of this industrially vital class of materials.
Where do we go from here? So perhaps the greatest advances in powder testing technology in the next decade will be the uptake of modern testing techniques and application of the very best data to transform the efficiency of powder processes. The potential here is enormous and the most far-reaching consequences of this are yet to be seen as the industry learns how to apply the information in the most effective way. The best powder testing companies are looking not only to their systems, but are also working with the pharmaceutical industry in promoting greater understanding of what the data mean for individual processes.
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