Biosensors for Sustainable Food - New Opportunities and Technical, Scognamiglio, Viviana
Автор: Narang Название: Biosensors, An Introductory Textboo ISBN: 9814745944 ISBN-13(EAN): 9789814745949 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Nanotechnology is a budding field and has a pivotal role in sensing. Nanomaterials exist in various forms such as nanoparticles, nanoclusters, nanobelts, and nanospheres. These nanomaterials act as sensing interfaces and immobilization surfaces for various biomolecules such as enzymes, DNA, and antigens. Therefore, the preparation and characterization of these nanoparticles play an important role in sensing devices.
This handbook has evolved from the authors' teaching and research experience in the field of nanoparticle biosensing. It encompasses protocols for the synthesis of various forms of metal oxide nanoparticles; study of the various characterizing techniques that help deduce the shape, size, and morphology of these nanoparticles; and applications of these nanoparticles in the field of biosensors. It presents voltammetry techniques such as cyclic, linear wave, wave pulse, and differential pulse voltammetry, throws light on the interactions of nanomaterials and biomolecules, and discusses microfluidic devices, which due to their unique capability of miniaturization fascinate many researchers. It is a practical and user-friendly textbook that introduces the various basic principles and practical information that will help undergraduate and advanced-level students and researchers understand the science behind nanoscale sensing.
Автор: Romas Baronas; Feliksas Ivanauskas; Juozas Kulys Название: Mathematical Modeling of Biosensors ISBN: 940073090X ISBN-13(EAN): 9789400730908 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents biosensor development and modeling from both a chemical and mathematical perspective. Unique modeling methods for catalytical biosensors are included, in addition to a comparison of digital modeling results in both proximal analytical solutions and experimental data.
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