Imperial College London
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Dr Joseph Levermore

Faculty of Medicine, School of Public Health

Research Associate
 
 
 
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Contact

 

+44 (0)20 7594 8501j.levermore

 
 
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Location

 

Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Levermore:2020:10.1021/acs.analchem.9b05445,
author = {Levermore, JM and Smith, TEL and Kelly, FJ and Wright, SL},
doi = {10.1021/acs.analchem.9b05445},
journal = {Analytical Chemistry},
pages = {8732--8740},
title = {Detection of microplastics in ambient particulate matter using Raman spectral imaging and chemometric analysis},
url = {http://dx.doi.org/10.1021/acs.analchem.9b05445},
volume = {92},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Microplastics have been observed in indoor and outdoor air. This raises concern for human exposure, especially should they occur in small enough sizes, which if inhaled, reach the central airway and distal lung. As yet, methods for their detection have not spectroscopically verified the chemical composition of microplastics in this size-range. One proposed method is an automated spectroscopic technique, Raman spectral imaging; however, this generates large and complex data sets. This study aims to optimize Raman spectral imaging for the identification of microplastics (≥2 μm) in ambient particulate matter, using different chemometric techniques. We show that Raman spectral images analyzed using chemometric statistical approaches are appropriate for the identification of both virgin and environmental microplastics ≥2 μm in size. On the basis of the sensitivity, we recommend using the developed Pearson’s correlation and agglomerative hierarchical cluster analysis for the identification of microplastics in spectral data sets. Finally, we show their applicability by identifying airborne microplastics >4.7 μm in an outdoor particulate matter sample obtained at an urban sampling site in London, United Kingdom. This semiquantitative method will enable the procurement of exposure concentrations of airborne microplastics guiding future toxicological assessments.
AU  - Levermore,JM
AU  - Smith,TEL
AU  - Kelly,FJ
AU  - Wright,SL
DO  - 10.1021/acs.analchem.9b05445
EP  - 8740
PY  - 2020///
SN  - 0003-2700
SP  - 8732
TI  - Detection of microplastics in ambient particulate matter using Raman spectral imaging and chemometric analysis
T2  - Analytical Chemistry
UR  - http://dx.doi.org/10.1021/acs.analchem.9b05445
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000548541200018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://pubs.acs.org/doi/10.1021/acs.analchem.9b05445
VL  - 92
ER  -
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