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Peter Vikesland

@vikesland.bsky.social
44 followers 47 following 5 posts
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Peter Vikesland @vikesland.bsky.social · 27/10/2025
Very happy to share our preprint 'Airborne microplastics: An unexpected source of atmospheric brown carbon'. We show that photochemical processes rapidly convert microplastics into brown carbon with broad environmental implications. #microplastics #droplets dx.doi.org/10.21203/rs....
dx.doi.org
Airborne microplastics: An unexpected source of atmospheric brown carbon
Microplastics are increasingly recognized as emergent atmospheric contaminants1,2, yet they are generally presumed to be inert constituents that rarely participate in chemical reactions of importance ...
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Peter Vikesland @vikesland.bsky.social · 23/06/2025
Our review article on "Surface-Enhanced Raman Spectroscopy (SERS) Based Biological and Environmental 2D and 3D Imaging" was recently published in ACS Environmental Au pubs.acs.org/doi/10.1021/...
pubs.acs.org
Surface-Enhanced Raman Spectroscopy (SERS) Based Biological and Environmental 2D and 3D Imaging
Surface-enhanced Raman spectroscopy (SERS) imaging is a highly sensitive, spatially resolved tool for biological and environmental analysis. SERS imaging combines molecular fingerprinting with real-ti...
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Peter Vikesland @vikesland.bsky.social · 18/03/2025
Happy to share our collaborative effort to enhance the quantification capacity of metagenomics: ‘Evaluating Quantitative Metagenomics for Environmental Monitoring of Antibiotic Resistance and Establishing Detection Limits | Environmental Science & Technology’ pubs.acs.org/doi/10.1021/...
pubs.acs.org
Evaluating Quantitative Metagenomics for Environmental Monitoring of Antibiotic Resistance and Establishing Detection Limits
Metagenomics holds promise as a comprehensive, nontargeted tool for environmental monitoring. However, one key limitation is that the quantitative capacity of metagenomics is not well-defined. Here, w...
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Peter Vikesland @vikesland.bsky.social · 20/11/2024
Happy to share our new ES&T Review article on the application of Machine Learning as a means to interpret Surface Enhanced Raman Spectroscopy (SERS) datasets. #sers #Raman pubs.acs.org/doi/10.1021/...
pubs.acs.org
Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy Detection for Environmental Applications: A Review
Surface-enhanced Raman spectroscopy (SERS) has gained significant attention for its ability to detect environmental contaminants with high sensitivity and specificity. The cost-effectiveness and poten...
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