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Biosensors for Sustainable Food - New Opportunities and Technical, Scognamiglio, Viviana


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Цена: 31497.00р.
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Автор: Scognamiglio, Viviana
Название:  Biosensors for Sustainable Food - New Opportunities and Technical
ISBN: 9780444635792
Издательство: Elsevier Science
Классификация:

ISBN-10: 0444635793
Обложка/Формат: Hardback
Страницы: 500
Вес: 0.60 кг.
Дата издания: 07.09.2016
Серия: Comprehensive analytical chemistry
Язык: English
Размер: 229 x 152 x 29
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Biosensors for Sustainable Food - New Opportunities and Technical Challenges addresses the challenges associated with sustaining the globally increasing demand for food that has been forecast for the next centuries and the immediate need for the food production system to adopt sustainable practices to protect the environment and human health. It provides a comprehensive overview of established, cutting-edge, and future trends in biosensor technology and its application in the agrifood sector. In particular, different biosensing advances are covered, outlining the newest research efforts in the cross-disciplines of chemistry, biology, and materials science with biosensing research, in order to develop novel detection principles, sensing mechanisms, and device engineering methods.

Food production and consumption have a strong impact on the environment in terms of greenhouse gas emissions, water, and soil contamination, the reduction of arable land, water consumption, and many other factors, which in turn, negatively affect human health. These issues have consequences for economic development, too.

To address these challenges, it is necessary for scientists with different expertise, policymakers, and economists work together to develop new smart technologies and introduce them to the market, along with adequate regulations. In this regard, a sustainable food production system can be thought of as a chain of procedures with a low impact on the environment that guarantees a secured supply of healthier and fortified food while supporting economic growth.




Biosensors, An Introductory Textboo

Автор: Narang
Название: Biosensors, An Introductory Textboo
ISBN: 9814745944 ISBN-13(EAN): 9789814745949
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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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.

Mathematical Modeling of Biosensors

Автор: Romas Baronas; Feliksas Ivanauskas; Juozas Kulys
Название: Mathematical Modeling of Biosensors
ISBN: 940073090X ISBN-13(EAN): 9789400730908
Издательство: Springer
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Цена: 20896.00 р.
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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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