Prodeus technologies9/12/2023 ![]() ![]() By doing so, they’ll help businesses reach the ultimate end goal of producing consistent quality products time after time. PAT can help businesses by providing more efficient routines and processes for pharmaceutical products. There are many benefits of process analytical technology for businesses:įaster technology transfer and process troubleshootingĪll of these benefits lead to improved quality, efficiency and productivity in manufacturing at a time of increasing competition within the process industry. Not to mention, there are countless positions in plenty of other industries, such as working for a manufacturing company that’s working to make household products, like dryers, more efficient. Or you can work in process analytical technology at a biopharmaceuticals company to help prevent illnesses through vaccines. You can work at a biotechnology company and help develop medicines to treat diseases like cystic fibrosis. So, finding a career in an industry you’re interested in will be relatively easy. Process Analytical Technology spans multiple industries. ![]() The practical implementation of PAT involves the on-line or in-line integration of “smart technology.” That includes process control sensors to conventional process equipment and using the real-time data from the sensors to model and control the process. ![]() PAT has been defined by the US Food and Drug Administration (FDA) as a mechanism to “design, analyse, and control pharmaceutical manufacturing processes through the measurement of Critical Process Parameters (CPP) which affect Critical Quality Attributes (CQA).” The ultimate goal of PAT is to ensure a quality final product in whatever product you’re making. In this post, we’ll go over what Process Analytical Technology (PAT) is and how you can get started in the industry!Ī key focus of research and development efforts at Innopharma has been in the Process Analytical Technology (PAT) space. Innopharma Technology Group is at the forefront of developing technologies that enable pharmaceutical, food and chemical manufacturers to better understand their manufacturing processes. ![]()
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