Fr. 69.00

Nanoscale Lab-on-a-Chip Sensors - Healthcare Applications

Inglese · Tascabile

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

This book highlights recent developments in lab-on-a-chip technologies and wearable sensors for smart healthcare, integrating several sophisticated multidisciplinary domains. The developed structures presented here are all categorized based on features that are particularly relevant to applications in biotechnology, biosensing, electrochemistry, molecular simulation for sensing applications, biomedicine, diagnostics, analytical biochemistry, polymers for nanotechnology, self-sensing intelligent microrobots, and wearable sensor development for telemedicine healthcare.

Sommario

Chapter 1. Imprints of Nanoscopic World in Times.- Chapter 2. Fundamentals of Nanomaterials to Quantum Dots and Energy Band Theories.- Chapter 3. Electrochemical Theory for Micro and Nanoscale Essentials.- Chapter 4. Tools in Nanotechnology.- Chapter 5. Nanomaterial Synthesis and Characterization.- Chapter 6. DNA Nanotechnology for Biosensors.- Chapter 7. Development of Wearable Sensors for Health Monitoring Applications.- Chapter 8. Self-Sensing Intelligent Micro and Nanorobots for Monitoring and BioSensing Systems.- Chapter 9. Artificial Intelligence-Integrated Lab-on-a-Chip for Diagnosis  and Treatment.

Info autore










Dr. Surachate Kalasin received Ph.D. degree in polymer physics from University of Massachusetts at Amherst, USA. Currently, he is employed by King's Mongkut University of Thonburi's graduate program in nanoscience and nanotechnology. His primary areas of interest are wearable sensors for telemedicine, lab-on-a-chip technologies powered by artificial intelligence, biosensors, and computer simulation-based drug discovery.


Riassunto

This book highlights recent developments in lab-on-a-chip technologies and wearable sensors for smart healthcare, integrating several sophisticated multidisciplinary domains. The developed structures presented here are all categorized based on features that are particularly relevant to applications in biotechnology, biosensing, electrochemistry, molecular simulation for sensing applications, biomedicine, diagnostics, analytical biochemistry, polymers for nanotechnology, self-sensing intelligent microrobots, and wearable sensor development for telemedicine healthcare.

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