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Magnetic Quantum Dots for Bioimaging (Hardcover): Amin Reza Rajabzadeh, Seshasai Srinivasan, Poushali Das, Sayan Ganguly Magnetic Quantum Dots for Bioimaging (Hardcover)
Amin Reza Rajabzadeh, Seshasai Srinivasan, Poushali Das, Sayan Ganguly
R4,161 Discovery Miles 41 610 Ships in 12 - 17 working days

Bioimaging is a sophisticated non-invasive and non-destructive technique for direct visualization of biological processes. Highly luminescent quantum dots combined with magnetic nanoparticles or ions form an exciting class of new materials for bioimaging. These materials can be prepared in cost-effective ways and show unique optical behaviours. Magnetic Quantum Dots for Bioimaging explores leading research in the fabrication, characterization, properties, and application of magnetic quantum dots in bioimaging. * Covers synthesis, properties, and bioimaging techniques. * Discusses modern manufacturing technologies and purification of magnetic quantum dots. * Explores thoroughly the properties and extent of magnetization to various imaging techniques. * Describes the biocompatibility, suitability, and toxic effects of magnetic quantum dots. * Reviews recent innovations, applications, opportunities, and future directions in magnetic quantum dots and their surface decorated nanomaterials. This comprehensive reference offers a roadmap of the use of these innovative materials for researchers, academics, technologists, and advanced students working in materials engineering and sensor technology.

Thermodiffusion in Multicomponent Mixtures - Thermodynamic, Algebraic, and Neuro-Computing Models (Paperback, 2013 ed.):... Thermodiffusion in Multicomponent Mixtures - Thermodynamic, Algebraic, and Neuro-Computing Models (Paperback, 2013 ed.)
Seshasai Srinivasan, M. Ziad Saghir
R1,469 Discovery Miles 14 690 Ships in 10 - 15 working days

Thermodiffusion in Multicomponent Mixtures presents the computational approaches that are employed in the study of thermodiffusion in various types of mixtures, namely, hydrocarbons, polymers, water-alcohol, molten metals, and so forth. We present a detailed formalism of these methods that are based on non-equilibrium thermodynamics or algebraic correlations or principles of the artificial neural network. The book will serve as single complete reference to understand the theoretical derivations of thermodiffusion models and its application to different types of multi-component mixtures. An exhaustive discussion of these is used to give a complete perspective of the principles and the key factors that govern the thermodiffusion process.

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