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Fabrication and Characterization of High-Q Silicon Nitride Membrane Resonators
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Recovery rate data for silicon nitride nanoparticle isolation using sodium polytungstate density gradients
J Patel1, S Lal1, S P Wilshaw1
1Faculty of Biological Sciences, University of Leeds, UK.
Data in Brief
|September 20, 2018
Summary
Researchers achieved an 89.6% recovery rate for silicon nitride nanoparticles from serum. This validates a novel method for isolating ceramic nanoparticles and metal wear debris from biological lubricants.
Area of Science:
- Nanomaterials Science
- Biomaterials Engineering
- Analytical Chemistry
Background:
- Accurate quantification of nanoparticles in biological fluids is crucial for understanding their behavior and potential toxicity.
- Previous research established a novel method for isolating ceramic nanoparticles and metal wear debris from serum lubricants.
- Assessing the efficiency of nanoparticle isolation techniques is essential for reliable experimental outcomes.
Purpose of the Study:
- To determine the average recovery rate of silicon nitride nanoparticles from serum using a previously established isolation method.
- To validate the efficacy of the novel method for ceramic nanoparticle recovery from biological matrices.
Main Methods:
- Gravimetric analysis was employed to quantify nanoparticle recovery.
- Silicon nitride nanoparticles were intentionally introduced (doped) into serum samples.
- Particles were weighed before and after the isolation procedure to calculate the recovery rate.
Main Results:
- An average recovery rate of approximately 89.6% (± 7.1 standard deviation) was achieved for silicon nitride nanoparticles.
- The results demonstrate a high degree of efficiency in the nanoparticle isolation process from serum.
- The gravimetric method provided a reliable measure of particle recovery.
Conclusions:
- The novel method demonstrates a high and reliable recovery rate for silicon nitride nanoparticles from serum.
- This validates the method's suitability for isolating ceramic nanoparticles from biological lubricants.
- Further application of this method can enhance the study of nanoparticle interactions in biological systems.
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