This book comprehensively and systematically treats modern understanding of the Nano-Bio-Technology and its therapeutic applications. The contents range from the nanomedicine, imaging, targeted therapeutic applications, experimental results along with modelling approaches. It will provide the readers with fundamentals on computational and modelling aspects of advanced nano-materials and nano-technology specifically in the field of biomedicine, and also provide the readers with inspirations for new development of diagnostic imaging and targeted therapeutic applications.

Ayesha Sohail, PhD, is an expert on nonlinear science, nanobiotechnology, and numerical analysis. She has successfully developed and implemented numerical tools to solve systems governing the nanotechnology problems.

Zhiwu Li is a full professor at Xidian University, China. He has been a visiting professor at the University of Toronto, Technion (Israel Institute of Technology), Martin-Luther University, Conservatoire National des Arts et Métiers (Cnam), Meliksah Universitesi, King Saudi University, and the University of Cagliari. His current research interests include Petri net theory and application, supervisory control of discrete event systems, workflow modeling and analysis, system reconfiguration, game theory, and data and process mining.

Klappentext

A comprehensive and systematic summary on computational aspects of nanobiotechnology and its biomedical applications

Over the past decade, nanoparticles have been used in the field of various diagnostic nanoplatforms, including liposomes, polymeric micelles, quantum dots, Au/Si/polymer shells, and dendrimers. Although recent data on in vivo nanoparticle drug delivery has shown remarkably improved efficacy over traditional drug delivery, there are still many challenges in the nanomedicine field. Therefore, the deep insights on computational and modeling aspects of advanced nanomaterials and nanotechnology related to the field of biomedicine are highly required.

Computational Approaches in Biomedical Nano-Engineering comprehensively and systematically treats modern understanding of the nanobiotechnology and its therapeutic applications. It covers the nanomedicine, imaging, targeted therapeutic applications, and experimental results, along with modeling approaches. It presents the fundamentals on the computational and modeling aspects of advanced nanomaterials and nanotechnology specifically in the field of biomedicine, and also provides readers with inspirations for new development of diagnostic imaging and targeted curative uses.

• Offers complete coverage of nanobiotechnology and its many therapeutic applications
• Provides a very good complimentary stance to the practical side of the nanobiotechnology field
• Covers an incredibly topical subject that is immensely informative to many researchers, consultants, and others engaged in nanobiotechnology

Computational Approaches in Biomedical Nano-Engineering is an excellent resource that will be of great interest to biotechnologists, materials scientists, bioengineers, biochemists, and chemical engineers, as well as pharmaceutical chemists.

Inhalt

1 Computational Approaches in Biomedical Nanoengineering: An Overview 1
Ayesha Sohail and Zhiwu Li

1.1 Introduction 1

1.2 Nanobiotechnology in Disease Diagnosis 3

1.2.1 Application of Nanoparticles for Discovery of Biomarkers 4

1.2.2 Nanotechnology-based Biochips and Microarrays 5

1.2.3 Detection via Semiconductor Nanocrystals 5

1.2.4 Nanoscale Sensor Technologies for Disease Detection via Volatolomics 6

1.3 Nanobiotechnology in Treatment 8

1.4 Nanobiotechnology in Target-specific Drug Delivery 8

1.4.1 Future of Giant Magnetoresistance (GMR) Sensors: An Alternative to the Traditional Use of Enzymes, Radioisotopes, or Fluorescent Tagging 8

1.4.2 Drug Delivery via Hyperthermia 9

1.5 Computational Approaches 10

1.5.1 ComputationalModel of Drug Targeting 11

1.5.2 ComputationalModel of Electrical Activity in Cardiac Tissue 11

1.5.3 ComputationalModel of Fringe Field Effect 13

1.5.4 ComputationalModel of Nanoparticle Hyperthermia 14

1.5.5 Hybrid Models in Computational Nanobiotechnology 15

1.5.6 Machine Learning for Detection and Diagnosis of Diseases 15

1.5.6.1 Machine Learning and Recent Bioinformatics: Case Studies 16

1.5.6.2 Current Challenges 17

References 18

2 Nanotechnology Applications The Future Arrived Suddenly 23
Manuel Alberto M. Ferreira and José A. Filipe

2.1 Introduction 23

2.2 Nanotechnology: A Brief Approach 24

2.3 Nanopanels: A Success of Nanotechnology in Industry 28

2.4 Nanoelectronics: Improving the Life Standard 30

2.5 Nanotechnology in Medicine: Friendly Efficient Healthcare 32

2.6 Ethics and Nanotechnology 34

2.7 Concluding Remarks 39

References 40

3 Biosynthesized Nanobullets for Microbes and Biofilms 43
Lubna Sherin, Zareen Arshad, and Tehniyat Liaqat

3.1 Introduction 43

3.2 Biosynthesized Nanoparticles 44

3.2.1 Microorganisms 45

3.2.2 Algae 47

3.2.3 Fungi 48

3.2.4 Yeasts 50

3.2.5 Actinomycetes 51

3.2.6 Plants 52

3.3 Antimicrobial Potential of Nanoparticles 55

3.4 Mechanism of Antimicrobial Action of Inorganic NPs 57

3.4.1 Interaction of NPs with Cell Membrane 57

3.4.2 Oxidative Stress 58

3.4.3 NP Interaction with Proteins 59

3.5 Reactivity of NPs against Biofilms 59

3.6 Nanosilver as Efficient Antimicrobial Agent 63

3.7 NPs as Efficient Carrier of Traditional Antibiotics 65

3.8 Real-life Applications of Antimicrobial Nanomaterials 68

3.8.1 Wound Dressing Materials 68

3.8.2 Tissue Scaffolds 69

3.8.3 Disinfecting Medical Implant and Devices 70

3.8.4 Antimicrobial Food Packaging 70

3.8.5 Water Disinfection 72

3.8.6 Application in Personal Care Products 73

3.9 Conclusion and Future Prospects 73

References 74

4 The Physics of Nanosensor Systems in Medicine and the Development of Physiological Monitoring Equipment 89
Robert Splinter

4.1 Introduction 89

4.1.1 Biological Sensing 89

4.1.2 Applications 92

4.2 Sensing Technology 93

4.2.1 Sensing Targets 93

4.2.2 Static vs Dynamic Events/Sensing 93

4.2.3 Mechanism of Action (MoA) for Sensing 94

4.2.3.1 Chemical 95

4.2.3.2 Electronic 95

4.2.3.3 Mechanical 98

4.2.3.4 Optical 100

4.2.3.5 Single-molecule Detection/Tagging Sensor Design 100

4.2.3.6 Thermal/Energetic 101

4.3 Sensor Design 102

4.3.1 Ion-sensitive Solid-state Field-Effect Transistor (ISFET)/ChemFET 102

4.3.2 Carbon Nanotube Field-Effect Transistor (CNTFET) 104

4.3.2.1 Computational Analysis of Nanosensor Detection 106

4.4 Discussion 107

References 108

5 Nonl...