Peter Vikesland
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vikesland.bsky.social
Peter Vikesland
@vikesland.bsky.social
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....
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 ...
dx.doi.org
October 27, 2025 at 1:48 PM
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/...
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...
pubs.acs.org
June 23, 2025 at 1:31 PM
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/...
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...
pubs.acs.org
March 18, 2025 at 10:29 PM
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/...
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...
pubs.acs.org
November 20, 2024 at 2:10 PM