EPSRC Reference: |
EP/G031754/1 |
Title: |
Engineering Microbubbles for Enhanced Non-linear Response: Modelling and Experimental Studies |
Principal Investigator: |
Stride, Professor E |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Mechanical Engineering |
Organisation: |
UCL |
Scheme: |
Standard Research |
Starts: |
01 May 2009 |
Ends: |
03 October 2011 |
Value (£): |
406,977
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EPSRC Research Topic Classifications: |
Acoustics |
Medical Imaging |
Particle Technology |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
Panel Date | Panel Name | Outcome |
25 Nov 2008
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Healthcare Engineering Panel (Eng)
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Announced
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Summary on Grant Application Form |
The non-linear response of gas bubbles to acoustic excitation is an important phenomenon in both the biomedical and engineering sciences. In medical ultrasound imaging, for example, microbubbles are particularly useful as contrast agents on account of their ability to scatter ultrasound non-linearly. Increasing the degree of non-linearity, however, normally requires an increase in the amplitude of excitation and this may also result in violent behaviour such as inertial cavitation and bubble fragmentation; effects which may be highly undesirable, especially in biomedical applications. The aim of the work described in this proposal is to investigate the findings from our recent preliminary study which showed that by depositing nanoparticles on the surface of a microbubble, the non-linear character of its acoustic response can be increased significantly at low excitation amplitudes. We propose to develop a theoretical model to predict this behaviour and to examine the effect upon bubble stability; and to carry out systematic experimental investigations of the influence of nanoparticle size, shape and concentration upon the stability and acoustic response of microbubbles in order to verify the theoretical work. A successful outcome will lead to the development of microbubble agents with improved efficacy and predictability, for both imaging and therapeutic applications, that will offer significant benefits to the pharmaceutical and healthcare industries, instrumentation manufacturers and ultimately clinicians and patients.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
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