Dr. Leon Barron received both a BSc in Analytical Science (2001) and a PhD in Analytical Chemistry (2005) from Dublin City University (DCU), Ireland. He then pursued his postdoctoral research for a further four years there and at the Norwegian Institute for Water Research developing novel approaches to monitoring environmental contaminants in water and soil.
He moved to King's College London as a Lecturer (in 2009) and then Senior Lecturer (in 2015) in Forensic Science, where he led the Environmental & Forensic Chemistry group for 11 years. In 2020, he moved to Imperial College London as a Senior Lecturer in Analytical & Environmental Sciences. He has published >75 peer-reviewed articles in the fields of analytical chemistry, environmental pollution, ecotoxicology and forensic science.
He sits on the editorial board of Science & Justice, Journal of the Chartered Society of Forensic Sciences and from 2011-2014 was its Editor in Chief. He regularly acts as a peer-reviewer for several internationally reputed analytical journals. He is a member of the Royal Society of Chemistry, the Chartered Society of Forensic Sciences and a Fellow of the Higher Education Academy. He also sits on the Analytical Division Council and the Separation Science interest group committee of the Royal Society of Chemistry, as well as the London Biological Mass Spectrometry Discussion Group committee.
Key Leadership Roles:
The aim of the Emerging Chemical Contaminants team is to further our understanding of the sources, risks and impacts existing, emerging and new chemical contaminants on environmental and public health. His projects have mainly focussed on pharmaceuticals, personal care products, illicit drugs, pesticides, disinfectant by-products, security-related substances (e.g., CB and E) and industrial chemicals. His work spans across all environmental spheres (soil, water, air and biological materials).
- Analytical Science: His particular strength lies in trace environmental analysis and has core expertise in the separation sciences (e.g. LC, IC, GC, IMS and CE), advanced sampling/sample preparation (e.g. including on/offline SPE, passive sampling, pressurised liquid extraction), high and low resolution (tandem) mass spectrometry and data mining/computational modelling (e.g., machine learning and multivariate analysis for large datasets).
- Chemical Risk Assessment: He actively researches in understanding the breadth, sources and fate of and as well as phenotypic and molecular level toxicological effects on biota. He is particularly interested in New Approach Methods (NAMs) including novel predictive in silico and in vitro tools for chemical hazard and risk assessment. This includes performing exposure-based and machine-learning enhanced metabolomics and lipidomics to understand molecular-level effects, and mainly in terrestrial and aquatic invertebrates.
- Wastewater-Based Epidemiology: Near real-time population-level health assessment through the wastewater analysis. His team has been a member of the Sewage analysis CORE Group since 2011 contributing to knowledge of the health of ~30 countries and 90 cities globally. For example, we have provided data for London annually to the European Monitoring Centre for Drugs & Drug Addiction on illicit drug use in the EU.
- Early Threat Warning and 'Environmental Forensics': He focuses on identifying chemical or physical evidence that may indicate illegal activity including contact or clandestine manufacturing of illicit substances, chemical pollution or identifying imminent threats to public safety. With a significant track record in forensic science, he specialises in identifying trace chemical signatures in forensic evidence types such as fingermarks, biological materials, as well as environmental matrices including early detection of explosives and new chemical/biological contaminants and hazards in the environment. He also led a major project on developing fit for purpose technologies for recovering forensic evidence from poached ivory which is now in use in >40 countries globally.
Postgraduate PhD Student Supervision:
Egli, M Population-level viral exposure and associated pharmaceutical treatments by wastewater-based epidemiology, PhD student
Birkitt, L A machine learning approach to understand how invertebrates maintain homeostasis upon exposure to pharmaceuticals, BBSRC/AstraZeneca funded PhD studentship
Richardson, A Using surrogate passive sampler devices and predictive machine learning algorithms to replace invertebrate use in micropollutant bioconcentration testing, BBSRC/Agilent funded PhD studentship
Irlam, R Solving the impact of sample matrix on trace explosives detection using 3D printed micro-solid phase extraction arrays and high-resolution analysis, EPSRC/Dstl funded PhD studentship
Rapp-Wright, H Innovative monitoring to prioritise contaminants of emerging concern for Ireland, EPA Ireland funded PhD studentship
Almekdad, D Standardization Of Laboratory Medicine; The Development And Application Of Isotope Dilution Mass Spectrometry Based Reference Method Procedures For The Analysis Of Immunosuppressant Drugs And Metanephrines In Biological Samples, LGC Funded PhD studentship
Post-doctoral fellows under Supervision:
Dr Keng Tiong Ng, Identification of illegal threat manufacturing activity via wastewater markers (ThreatMARK), Royal Academy of Engineering IC Research Fellow
Zhang C, Barron L, Sturzenbaum S, 2021, The Transportation, Transformation and (Bio)accumulation of Pharmaceuticals in the Terrestrial Ecosystem, Science of the Total Environment, ISSN:0048-9697
et al., 2021, Rapid direct analysis of river water and machine learning assisted suspect screening of emerging contaminants in passive sampler extracts., Analytical Methods: Advancing Methods and Applications, Vol:13, ISSN:1759-9660, Pages:595-606
et al., 2021, Multicompartment and cross-species monitoring of contaminants of emerging concern in an estuarine habitat, Environmental Pollution, Vol:270, ISSN:0269-7491, Pages:1-12
Alsaleh SA, Barron L, Sturzenbaum S, 2021, Perchlorate detection via an invertebrate biosensor, Analytical Methods, Vol:13, ISSN:1759-9660, Pages:327-336
et al., 2021, Quantitative assessment of dietary (Poly)phenol intake: a high-throughput targeted metabolomics method for blood and urine samples, Journal of Agricultural and Food Chemistry, Vol:69, ISSN:0021-8561, Pages:537-554