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OverviewThe book addresses fundamental principles of the membrane separation technology along with an insight of the modern membrane separation process. Conventional membrane processes are discussed in several books advanced membrane separation processes like ionexchange membrane separation etc. are fragmentally discussed in several scientific journals and patents. Therefore, here the discussion is made on most advanced membrane applications from sensing biomarkers to tissue engineering along with different case studies. It will benefit heterogeneous audience including practitioners, process engineers, researchers and students from chemical engineering, biochemical engineering, and environmental engineering. The most interesting feature that may attract is the inclusion of machine learning in predicting and designing the membrane processes. This book can be referred by someone who wishes to learn about the fundamental principles and a general area of application along with scholars seeking more detailed information about the recent advancement in membrane separation technologies. Full Product DetailsAuthor: Dwaipayan Sen , Ankita Mazumder (Haldia Institute of Technology, India)Publisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.620kg ISBN: 9781032859842ISBN 10: 1032859849 Pages: 232 Publication Date: 01 September 2025 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Not yet available ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsMembrane Separation Technology. Membrane Distillation. Electrodialysis. Gas separation and pervaporation. Liquid Membrane Separation. Dialysis and extracorporeal membrane oxygenator (ECMO). Micellar-enhanced membrane filtration. Biosensors and hydrogels. Control application on Membrane Separation. Insight on recent and future perspectives of advanced membrane materials and technology. En-routing Machine Learning for Membrane separation Process Optimization. Bibliography. Appendix A.ReviewsAuthor InformationDwaipayan Sen is with the Department of Chemical Engineering, Heritage Institute of Technology, Kolkata, India, where he has been serving as an Assistant Professor since 2015. He served as an Assistant Professor in the Department of Chemical Engineering, National Institute of Technology, Agartala, India, from 2012 until 2015. He obtained his doctoral, master and bachelor degree from the Department of Chemical Engineering, Jadavpur University, Kolkata, India. He has been a Life Member of the IIChE, Kolkata since 2012. He has co-authored several book chapters along with a book and significant research publications in many reputed international journals. He has been recognized with several awards from industry and academia in his career. Ankita Mazumder is an Assistant Professor in the Department of Chemical Engineering, Haldia Institute of Technology, Haldia, India. She completed her PhD in Engineering from Jadavpur University in the year 2021. She is actively involved in research and teaching related to wastewater treatment, reclamation and reuse, hybrid advanced membrane separation technologies, and value-added resource recovery. She has authored several research articles in reputed international journals and also published quite a few book chapters. She has received several awards in her field, including the Gold medallist award in Bachelor's degree. Tab Content 6Author Website:Countries AvailableAll regions |