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Optofluidics. Process Analytical Technology offers in its 2nd edition a distinctive foundational introduction to the realms of materials, photonics, fluidics, and sensors. The work serves to unify the disparate disciplines, integrating the requisite fundamental knowledge with applied science. It thus establishes a new standard and definition for both the academic and industrial fields. It encompasses the requisite in-depth knowledge of smart materials, semiconductor processing, optical waveguiding and fluid dynamics. The objective of this distinctive publication is to present information in a readily comprehensible format that can be readily applied in everyday situations. It is truly interdisciplinary but not overloading with information, providing the highly required and relevant information to become an expert in this exciting area, which is gaining more and more relevance and recognition in the context of sensing, material science and automation in biotechnology and pharmaceutical manufacturing. The concept of the book is to serve as a textbook for advanced beginners from all life science, engineering and physics disciplines, providing self-assessment questions and further reading recommendations for further guidance and in-depth learning.

__Dr. Karsten Rebner is a Professor for Process Analytical Technology at Reutlingen University. After studying chemistry and obtaining his doctorate in physical chemistry, he gained extensive experience in the industry, serving as a manager for Process Analytical Technology in a large-scale chemical enterprise. His expertise lies in applying advanced analytical techniques to optimize and monitor industrial processes. Dr. Rebner’s research focuses on optical spectroscopy, including hyperspectral imaging, which enables detailed analysis of materials across a wide range of wavelengths. He also specializes in multivariate data analysis, using statistical methods to interpret complex datasets, enhancing the understanding and control of chemical and manufacturing processes. Additionally, he collaborates with interdisciplinary scientific and industrial teams to advance process innovation and contributes to academic literature in these fields, driving forward the application of technology in industrial analytics.