Computer-Aided Applications in Pharmaceutical Technology: Delivery Systems, Dosage Forms, and Pharmaceutical Unit Operations

Computer-Aided Applications in Pharmaceutical Technology: Delivery Systems, Dosage Forms, and Pharmaceutical Unit Operations, Second Edition, is a comprehensive book that covers experimental design, chemometric methods, neural computing, data science, computer-aided biopharmaceutical characterization, and computational fluid dynamics in pharmaceutical technology. It introduces the theory and practice of computational tools through new case studies.

Format: Hardback
Length: 338 pages
Publication date: 18 September 2023
Publisher: Elsevier - Health Sciences Division

Computer-Aided Applications in Pharmaceutical Technology: Delivery Systems, Dosage Forms, and Pharmaceutical Unit Operations, Second Edition delves into the comprehensive realm of experimental design, application, and interpretation in pharmaceutical technology. It encompasses a wide range of topics, including chemometric methods with a focus on their applications in process control, neural computing, data science, computer-aided biopharmaceutical characterization, and the utilization of computational fluid dynamics in pharmaceutical technology. This second edition has been thoroughly revised and updated to introduce the theory and practical implementation of computational tools through engaging case studies. The chapters cover various aspects of pharmaceutical development, such as Quality by Design, overview data mining methodologies, computer-aided formulation development, experimental design applications, and much more.

Delivering Systems:
In this chapter, the authors explore the various delivery systems employed in pharmaceutical technology, including oral, injectable, topical, and inhalation routes. They discuss the principles underlying these systems, the factors influencing drug absorption, distribution, metabolism, and excretion, and the challenges associated with developing effective delivery systems. The chapter also highlights the importance of drug targeting and the use of nanotechnology to enhance drug delivery and overcome barriers to drug absorption.

Dosage Forms:
The authors delve into the realm of dosage forms, which are critical components of pharmaceutical products. They discuss the various types of dosage forms, including solid, liquid, and semisolid forms, as well as their advantages, disadvantages, and development considerations. The chapter also explores the role of excipients in dosage form design, including their selection, characterization, and optimization.

Pharmaceutical Unit Operations:
This chapter provides an in-depth exploration of pharmaceutical unit operations, which are the core processes involved in the manufacturing of pharmaceutical products. It covers topics such as mixing, blending, granulation, tabletting, and compression. The authors discuss the principles of these operations, the equipment used, and the control strategies employed to ensure product quality and consistency. They also highlight the importance of process validation and the application of quality control methods in pharmaceutical manufacturing.

Chemometric Methods:
Chemometric methods play a pivotal role in pharmaceutical technology, particularly in process control and quality assurance. In this chapter, the authors introduce the principles of chemometric methods, including data preprocessing, modeling, and interpretation. They discuss the applications of chemometric methods in process control, such as model predictive control, multivariate statistics, and pattern recognition. The chapter also highlights the use of chemometric methods in quality control, such as batch release testing and quality attribute analysis.

Neural Computing:
Neural computing is a rapidly evolving field that has the potential to revolutionize drug discovery and development. In this chapter, the authors provide an overview of neural computing techniques, including artificial neural networks, convolutional neural networks, and recurrent neural networks. They discuss the applications of neural computing in drug discovery, such as virtual screening, ligand discovery, and drug design. The chapter also highlights the challenges associated with neural computing and the need for interdisciplinary collaboration to fully harness its potential.

Data Science:
Data science is a multidisciplinary field that combines statistics, computer science, and domain knowledge to analyze complex data and extract valuable insights. In this chapter, the authors introduce the principles of data science, including data collection, data analysis, and data visualization. They discuss the applications of data science in pharmaceutical technology, such as drug discovery, clinical research, and patient care. The chapter also highlights the importance of data privacy and security in data-driven healthcare.

Computer-Aided Biopharmaceutical Characterization:
Computer-aided biopharmaceutical characterization is a crucial step in drug discovery and development. In this chapter, the authors discuss the principles of computer-aided biopharmaceutical characterization, including mass spectrometry, chromatography, and bioinformatics. They discuss the applications of computer-aided biopharmaceutical characterization in drug discovery, such as protein identification, quantification, and structural characterization. The chapter also highlights the importance of integrating computer-aided biopharmaceutical characterization with other analytical techniques to obtain a comprehensive understanding of drug properties.

Computational Fluid Dynamics:
Computational fluid dynamics (CFD) is a powerful tool that enables the simulation of fluid flow and heat transfer in complex systems. In this chapter, the authors introduce the principles of CFD, including numerical methods, boundary conditions, and simulation setup. They discuss the applications of CFD in pharmaceutical technology, such as drug dissolution, mixing, and spray drying. The chapter also highlights the importance of CFD in drug development, including the optimization of drug formulation and the prediction of drug behavior in vivo.

Quality by Design:
Quality by Design (QbD) is a philosophy that emphasizes the integration of quality assurance and control throughout the entire drug development process. In this chapter, the authors introduce the principles of QbD, including risk management, design of experiments, and quality target attainment. They discuss the applications of QbD in pharmaceutical technology, such as drug discovery, development, and manufacturing. The chapter also highlights the importance of collaboration and communication in QbD implementation.

In conclusion, Computer-Aided Applications in Pharmaceutical Technology: Delivery Systems, Dosage Forms, and Pharmaceutical Unit Operations, Second Edition is a comprehensive and up-to-date resource that provides a thorough understanding of experimental design, application, and interpretation in pharmaceutical technology. The book covers a wide range of topics, including chemometric methods, neural computing, data science, computer-aided biopharmaceutical characterization, and computational fluid dynamics. With its engaging case studies and practical insights, the book is an invaluable tool for students, researchers, and professionals in the pharmaceutical industry. By leveraging the power of computer-aided applications, the pharmaceutical industry can enhance drug discovery, development, and manufacturing processes, leading to improved patient outcomes and a more sustainable future.

Dimension: 234 x 156 (mm)
ISBN-13: 9780443186554
Edition number: 2 ed