Imperial College London

Professor Molly Stevens FREng

Faculty of EngineeringDepartment of Materials

Prof of Biomedical Materials&Regenerative Medicine
 
 
 
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Contact

 

+44 (0)20 7594 6804m.stevens

 
 
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Location

 

208Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Penders:2018:10.1038/s41467-018-06397-6,
author = {Penders, J and Pence, I and Horgan, C and Bergholt, M and Wood, C and Najer, A and Kauscher, U and Nagelkerke, A and Stevens, MM},
doi = {10.1038/s41467-018-06397-6},
journal = {Nature Communications},
title = {Single Particle Automated Raman Trapping Analysis},
url = {http://dx.doi.org/10.1038/s41467-018-06397-6},
volume = {9},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Enabling concurrent, high throughput analysis of single nanoparticles would greatly increase the capacity to study size, composition and inter and intra particle population variance with applications in a wide range of fields from polymer science to drug delivery. Here, we present a comprehensive platform for Single Particle Automated Raman Trapping Analysis (SPARTA) able to integrally analyse nanoparticles ranging from synthetic polymer particles to liposomes without any modification. With the developed highly controlled automated trapping process, single nanoparticles are analysed with high throughput and sensitivity to resolve particle mixtures, obtain detailed compositional spectra of complex particles, track sequential functionalisations, derive particle sizes and monitor the dynamics of click reactions occurring on the nanoparticle surface. The SPARTA platform opens up a wide range of new avenues for nanoparticle research through label-free integral high-throughput single particle analysis, overcoming key limitations in sensitivity and specificity of existing bulk analysis methods.
AU - Penders,J
AU - Pence,I
AU - Horgan,C
AU - Bergholt,M
AU - Wood,C
AU - Najer,A
AU - Kauscher,U
AU - Nagelkerke,A
AU - Stevens,MM
DO - 10.1038/s41467-018-06397-6
PY - 2018///
SN - 2041-1723
TI - Single Particle Automated Raman Trapping Analysis
T2 - Nature Communications
UR - http://dx.doi.org/10.1038/s41467-018-06397-6
UR - http://hdl.handle.net/10044/1/63918
VL - 9
ER -