Smart Systems In Biotechnology

This compact volume is focused on an eclectic mix of biotechnological and biomedical applications of stimuli-sensitive polymeric materials. It starts with their chemical synthesis and design strategies. This is followed by discussions of their applications in microfluidics, biosensors, wound healing and anticancer therapy. Two other interesting applications covered are the design of aptamer-based smart surfaces for biological applications and use of smart hydrogels in tissue engineering. In general, it provides a snapshot of the current state-of-the-art in design and applications of smart systems at the interfaces of biological sciences.

The first book to tackle the application of smart polymers in bioseparation and bioprocessing, Smart Polymers: Applications in Biotechnology and Biomedicine broke new ground in this challenging field. Completely revised, updated, and following in the footsteps of its predecessor, the second edition is poised to take its place as a premier reference in this field. This new edition considers those polymers in which a highly nonlinear response of a smart polymer to small changes in the external medium is of critical importance for the successful functioning of the system. The systems discussed are based on soluble/insoluble transition of smart polymers in aqueous solution, on conformational transitions of the macromolecules physically attached or chemically grafted to a surface and on the shrinking/swelling of covalently cross-linked networks of macromolecules, i.e. smart hydrogels. The book focuses on the theory describing the behavior of smart polymers in solution, as gels, and when grafted to surfaces. It provides solid, quantitative descriptions and reliable guidelines, reflecting the maturation of the field and the demand for the development of new smart polymer systems. The coverage highlights smart gels and especially fast responding and macroporous gels, as these gels pave the way to different applications of smart polymers in the areas ofbioseparation, drug release, and microfluidics. With contributions from leading researchers as well as extensive end-of-chapter references, this volume offers a comprehensive overview of the current state-of-the-art in the field and the potential for future developments.

This book reviews the advances in data gathering and processing in the biotech laboratory environment, and it sheds new lights on the various aspects that are necessary for the implementation of intelligent laboratory architecture and infrastructure. Smart technologies are increasingly dominating our everyday lives and have become an indispensable part of the industrial environment. The laboratory environment, which has long been rather conservative, has also set out to adapt smart technologies with regards to Industry 4.0 and the Internet of Things (IoT) for the laboratory. Due to the heterogeneity of the existing infrastructure and the often complex work processes, standardization is slow, e.g. to implement device interfaces or standardized driver protocols, which are urgently needed to generate standardized data streams that would be immanent for post-processing of data. Divided into 9 chapters, this book offers an authoritative overview of the diverse aspects in the generation and recording of uniform data sets in the laboratory, and in the processing of the data and enabling seamless processing towards machine learning and artificial intelligence. In the first part of the book, readers will find more about high throughout systems, automation, robotics, and the evolution of technology in the laboratory. The second part of the book is devoted to standardization in lab automation, in which readers will learn more about some regulatory aspects, the SiLA2 standards, the OPC LADS (Laboratory and Analytical Device Standard), and FAIR Data infrastructure

This is the first of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization. Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. In this regard, one promising tool is the use of digital twins, which offer a virtual representation of the bioprocess. They reflect the mechanistics of the biological system and the interactions between process parameters, key performance indicators and product quality attributes in the form of a mathematical process model. Furthermore, digital twins allow us to use computer-aided methods to gain an improved process understanding, to test and plan novel bioprocesses, and to efficiently monitor them. This book explains the mathematical structure of digital twins, their development and the model’s respective parts, as well as concepts for the knowledge-driven generation and structural variability of digital twins. Covering fundamentals as well as applications, the two volumes offer the ideal introduction to the topic for researchers in academy and industry alike.

As rapid technological developments occur in electronics, photonics, mechanics, chemistry, and biology, the demand for portable, lightweight integrated microsystems is relentless. These devices are getting exponentially smaller, increasingly used in everything from video games, hearing aids, and pacemakers to more intricate biomedical engineering and military applications. Edited by Kris Iniewski, a revolutionary in the field of advanced semiconductor materials, Integrated Microsystems: Electronics, Photonics, and Biotechnology focuses on techniques for optimized design and fabrication of these intelligent miniaturized devices and systems. Composed of contributions from experts in academia and industry around the world, this reference covers processes compatible with CMOS integrated circuits, which combine computation, communications, sensing, and actuation capabilities. Light on math and physics, with a greater emphasis on microsystem design and configuration and electrical engineering, this book is organized in three sections—Microelectronics and Biosystems, Photonics and Imaging, and Biotechnology and MEMs. It addresses key topics, including physical and chemical sensing, imaging, smart actuation, and data fusion and management. Using tables, figures, and equations to help illustrate concepts, contributors examine and explain the potential of emerging applications for areas including biology, nanotechnology, micro-electromechanical systems (MEMS), microfluidics, and photonics.

A comprehensive overview of smart and responsive surfaces in biotechnology and their applications A wave of recent advances in cell biology, biophysics, chemistry, and materials science has enabled the development of a new generation of smart biomaterials. Intelligent Surfaces in Biotechnology: Scientific and Engineering Concepts, Enabling Technologies, and Translation to Bio-Oriented Applications provides readers with a comprehensive overview of surface modifications and their applications, including coverage of the physico-chemical properties, characterization methods, smart coating technologies, and demonstration of performance in vitro and in vivo. The first part of the book covers applications in the fields of biosensing and biodiagnostics, while the second part focuses more on coatings for medical devices, drug delivery, and tailored cell-surface interactions. The book explores intelligent surface applications such as tissue engineering, drug targeting and delivery, wound healing and anti-infection strategies, biosensors, nanopatterning, and bioinspired design of novel responsive materials and multifunctional surfaces. Designed to aid scientists and engineers in understanding the rapidly developing field of biofunctional surfaces, Intelligent Surfaces in Biotechnology is an edited volume with each chapter written by a respected expert and featuring examples taken from the most state-of-the-art developments in the discipline. Cover Image: Design concept for a diagnostic microfluidic system based on responsive polymer- and antibody-conjugated nanobeads (see Chapter 2 of this book, Figure 2.5; reproduced by permission from the Royal Society of Chemistry).

The internet of things (IoT) has massive potential to transform current business models and enhance human lifestyles. With the current pace of research, IoT will soon find many new horizons to touch. IoT is now providing a base of technological advancement in various realms such as pervasive healthcare, smart homes, smart cities, connected logistics, automated supply chain, manufacturing units, and many more. IoT is also paving the path for the emergence of the digital revolution in industrial technology, termed Industry 4.0. Transforming the Internet of Things for Next-Generation Smart Systems focuses on the internet of things (IoT) and how it is involved in modern day technologies in a variety of domains. The chapters cover IoT in sectors such as agriculture, education, business and management, and computer science applications. The multi-disciplinary view of IoT provided within this book makes it an ideal reference work for IT specialists, technologists, engineers, developers, practitioners, researchers, academicians, and students interested in how IoT will be implemented in the next generation of smart systems and play an integral role in advancing technology in the future.

Smart systems when connected to artificial intelligence (AI) are still closely associated with some popular misconceptions that cause the general public to either have unrealistic fears about AI or to expect too much about how it will change our workplace and life in general. It is important to show that such fears are unfounded, and that new trends, technologies, and smart systems will be able to improve the way we live, benefiting society without replacing humans in their core activities. Smart Systems Design, Applications, and Challenges provides emerging research that presents state-of-the-art technologies and available systems in the domains of smart systems and AI and explains solutions from an augmented intelligence perspective, showing that these technologies can be used to benefit, instead of replace, humans by augmenting the information and actions of their daily lives. The book addresses all smart systems that incorporate functions of sensing, actuation, and control in order to describe and analyze a situation and make decisions based on the available data in a predictive or adaptive manner. Highlighting a broad range of topics such as business intelligence, cloud computing, and autonomous vehicles, this book is ideally designed for engineers, investigators, IT professionals, researchers, developers, data analysts, professors, and students.