Nano-manufacturing Technologies for Biodevices: Interacting at a Molecular Scale

  • Andrés Díaz Lantada


Nanotechnology is the study of manipulating and interacting with matter on an atomic and molecular scale, and related research is connected to the development of novel materials and devices with at least some details including sizes from around units to a few hundreds of nanometres. Research is linked to many fields benefiting each other, as materials science, quantum physics, molecular biology, optics and micro/nano fabrication, among others, and main applications range from medicine and biology to industrial processes, electronics and energy.

The topics and directions of nanotechnology are so diverse, including aspects related to modelling, design, characterisation, novel synthesis and fabrication methods, and integration of components into final systems, among other fields, that trying to cover them in a chapter, or even in a whole handbook, would not be realistic.

Therefore, we focus on providing a brief introduction to nano-manufacturing technologies and on discussing main technologies currently being applied to promoting the performance of commercially available biodevices and in some cases of rapid prototypes.

In the biomedical field, nano-manufacturing processes are already being widely used for improving the mechanical performance, the corrosion resistance, the contact properties, the biocompatibility and biocidal behaviour and even the aesthetics of several implantable devices, as is also detailed further on.

Such manufacturing processes, mainly physical and chemical vapour deposition, thin-film solution-deposition processes and self-assembly and related processes, together with some typical applications, are summarised. Finally some details about present challenges, forthcoming technologies and expectations are also included.


Additive Manufacturing Physical Vapour Deposition Chemical Vapour Deposition Process Wear Ratio Electron Beam Physical Vapour Deposition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  1. 1.Mechanical Engineering Department – Product Development LaboratoryUniversidad Politécnica de MadridMadridSpain

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