Modern Drying Technology Product Quality and Formulation

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Professor Dr. Ing. Evangelos Tsotsas holds the Chair of Thermal Process Engineering at Otto von Guericke University Magdeburg (Germany) since 1994. Prior to this, he was a Senior Process Specialist at the Dow Chemical Company. He has authored about 250 papers in refereed journals and conference proceedings, and is the recipient of the Hosokawa Award for Innovation and the ProcessNet Award for Excellence in Drying Research. He serves in various functions in organizations such as the German Research Foundation (DFG), the Alexander von Humboldt Foundation, and the European and German Working Party on Drying.Professor Arun S. Mujumdar has been Professor of Chemical and Mechanical Engineering at the McGill University, Canada, and at the National University of Singapore. He has authored 2 books and over 60 book chapters, edited or co-edited over 50 books including the Handbook of Industrial Drying.Member of various professional and scientific associations, he was recently conferred Doctor Honoris Causa by the Technical University of Lodz, Poland, and the University of Lyon, France.
This five-volume series provides a comprehensive overview of all important aspects of modern drying technology, concentrating on the transfer of cutting-edge research results to industrial use.
QUALITY CHANGES IN FOOD MATERIALS AS INFLUENCED BY DRYING PROCESSESIntroductionBiochemical Reactions Induced by DryingPhysical Transformations During DyringMechanical Transformations Induced by DryingStorage and Rehydration of Food ProductsConclusionIMPACT OF DRYING ON THE MECHANICAL PROPERTIES AND CRACK FORMATION IN RICEIntroductionImpact of Drying Conditions on Head Rice Yield for Paddy and Parboiled RiceCharacterization of Fissures Formation by Image Analysis TechniquesCharacterization of the Mechanical Properties of the Rice MaterialModeling the Impact of Drying on the Final Quality of Rice GrainsConclusionCHARACTERIZATION AND CONTROL OF PHYSICAL QUALITY FACTORS DURING FREEZE-DRYING OF PHARMACEUTICALS IN VIALSIntroductionCharacterization Methods of the Key Quality Factors During Freeze-Drying of Pharmaceuticals in VialsInfluence of Freezing and Freeze-Drying Parameters on Physical Quality FactorsProduct Quality and Stability During Drying and StorageConclusionsIN-LINE PRODUCT QUALITY CONTROL OF PHARMACEUTICALS IN FREEZE-DRYING PROCESSESIntroductionControl of the Freezing StepMonitoring of the Primary DryingControl of the Primary DryingMonitoring and Control of Secondary DryingQuality by DesignContinuous Freeze-DryingConclusionUNDERSTANDING AND PREVENTING STRUCTURAL CHANGES DURING DRYING OF GELSIntroductionGels and Their Applications - Quality AspectsStructural Characterization of Gels - Quality AssessmentDrying Methods for Gels - Quality LossAdvanced Drying Techniques - Preserving QualityAdvanced Modeling of Convective Drying - Understanding QualitySummaryMORPHOLOGY AND PROPERTIES OF SPRAY-DRIED PARTICLESIntroductionMorphology of Spray-Dried ParticlesRetention of Flavor in Spray-Dried Food ProductsEncapsulation and Microencapsulation of Enzymes and Oil by Spray DryingGeneral Quality AspectsConcluding RemarksPARTICLE FORMULATION IN SPRAY FLUIDIZED BEDSIntroductionGeneral Principles of Particle Formulation in Spray Fluidized BedsInfluence of Material PropertiesInfluence of Operating ConditionsInfluence of Apparatus DesignNeural Networks, EncapsulationStochastic Discrete Modeling of AgglomerationSummary and Outlook
This five-volume series provides a comprehensive overview of all important aspects of modern drying technology, concentrating on the transfer of cutting-edge research results to industrial use.Volume 3 discusses how desired properties of foods, biomaterials, active pharmaceutical ingredients, and fragile aerogels can be preserved during drying, and how spray drying and spray fluidized bed processes can be used for particle formation and formulation. Methods for monitoring product quality, such as process analytical technology, and modeling tools, such as Monte Carlo simulations, discrete particle modeling and neural networks, are presented with real examples from industry and academia.

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