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The Process Analytical Technology (PAT) initiative aims to move from a paradigm of testing quality in to building quality in by design. It can be defined as the optimal application of process analytical technologies, feedback process control strategies, information management tools, and/or productprocess optimization strategies.
Recently, there have been significant advances in process sensors and in model-based monitoring and control methodologies, leading to enormous opportunities for improved performance of food manufacturing processes and for the quality of food products with the adoption of PAT. Improvements in process efficiency, reduced product variability, enhanced traceability, process understanding, and decreased risk of contamination are some of the benefits arising from the introduction of a PAT strategy in the food industry.
Process Analytical Technology for the Food Industry reviews established and emerging PAT tools with potential application within the food processing industry. The book will also serve as a reference for industry, researchers, educators, and students by providing a comprehensive insight into the objectives, challenges, and benefits of adopting a Process Analytical Technology strategy in the food industry.
Benefits and challenges of adopting PAT for the food industry.-?Multivariate Data Analysis (Chemometrics).-?Management Systems.- Infrared spectroscopy.-?Raman Spectroscopy.-?Magnetic Resonance Imaging and Nuclear Magnetic Resonance Spectroscopy.-?Computer vision.-?Thermal imaging.-?Hyperspectral Imaging.-?Diagnostic ultrasound.-?Emerging PAT technologies.-?Food industry perspectives on the implementation of a PAT strategy.
Dr PJ Cullen lectures and co-ordinates process engineering research in Dublin Institute of Technology. His current research interests include the development of novel hyperlc"
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