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Ion chromatography-mass spectrometry: A review of recent technologies and applications in forensic and environmental explosives analysis

Analytica chimica acta, 2014-01, Vol.806, p.27-54

2014

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A review of the pharmaceutical exposome in aquatic fauna

Environmental pollution (1987), 2018-08, Vol.239, p.129-146

2018

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A year-long study of the occurrence and risk of over 140 contaminants of emerging concern in wastewater influent, effluent and receiving waters in the Republic of Ireland

The Science of the total environment, 2023-02, Vol.860, p.160379, Article 160379

2023

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DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing

Forensic science international : genetics, 2017-05, Vol.28, p.225-236

2017

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A year-long study of the spatial occurrence and relative distribution of pharmaceutical residues in sewage effluent, receiving marine waters and marine bivalves

The Science of the total environment, 2014-04, Vol.476-477, p.317-326

2014

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Biomonitoring of pesticides, pharmaceuticals and illicit drugs in a freshwater invertebrate to estimate toxic or effect pressure

Environment international, 2019-08, Vol.129, p.595-606

2019

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Suspect screening of large numbers of emerging contaminants in environmental waters using artificial neural networks for chromatographic retention time prediction and high resolution mass spectrometry data analysis

The Science of the total environment, 2015-12, Vol.538, p.934-941

2015

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Pollution of Soil by Pharmaceuticals: Implications for Metazoan and Environmental Health

Annual review of pharmacology and toxicology, 2024-09

2024

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Gradient liquid chromatographic retention time prediction for suspect screening applications: A critical assessment of a generalised artificial neural network-based approach across 10 multi-residue reversed-phase analytical methods

Talanta (Oxford), 2016-01, Vol.147, p.261-270

2016

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Suspect screening of halogenated carboxylic acids in drinking water using ion exchange chromatography – high resolution (Orbitrap) mass spectrometry (IC-HRMS)

Talanta (Oxford), 2018-02, Vol.178, p.57-68

2018

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High-throughput multi-residue quantification of contaminants of emerging concern in wastewaters enabled using direct injection liquid chromatography-tandem mass spectrometry

Journal of hazardous materials, 2020-11, Vol.398, p.122933, Article 122933

2020

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Prediction of bioconcentration factors in fish and invertebrates using machine learning

The Science of the total environment, 2019-01, Vol.648, p.80-89

2019

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A One-Health environmental risk assessment of contaminants of emerging concern in London’s waterways throughout the SARS-CoV-2 pandemic

Environment international, 2023-10, Vol.180, p.108210-108210, Article 108210

2023

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Evaluation of combined sewer overflow impacts on short-term pharmaceutical and illicit drug occurrence in a heavily urbanised tidal river catchment (London, UK)

The Science of the total environment, 2019-03, Vol.657, p.1099-1111

2019

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Spatio‐temporal assessment of illicit drug use at large scale: evidence from 7 years of international wastewater monitoring

Addiction (Abingdon, England), 2020-01, Vol.115 (1), p.109-120

2020

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Apportioning sources of chemicals of emerging concern along an urban river with inverse modelling

The Science of the total environment, 2024-07, Vol.933, p.172827-172827, Article 172827

2024

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Multicompartment and cross-species monitoring of contaminants of emerging concern in an estuarine habitat

Environmental pollution (1987), 2021-02, Vol.270 (C), p.116300, Article 116300

2021

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Untargeted metabolomics changes on Gammarus pulex induced by propranolol, triclosan, and nimesulide pharmaceutical drugs

Chemosphere (Oxford), 2020-12, Vol.260, p.127479-127479, Article 127479

2020

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Quantitative Determination and Environmental Risk Assessment of 102 Chemicals of Emerging Concern in Wastewater-Impacted Rivers Using Rapid Direct-Injection Liquid Chromatography-Tandem Mass Spectrometry

Molecules (Basel, Switzerland), 2021-09, Vol.26 (18), p.5431

2021

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Dog swimming and ectoparasiticide water contamination in urban conservation areas: A case study on Hampstead Heath, London

The Science of the total environment, 2024-10, Vol.955, p.176686, Article 176686

2024

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Uptake, biotransformation and elimination of selected pharmaceuticals in a freshwater invertebrate measured using liquid chromatography tandem mass spectrometry

Chemosphere (Oxford), 2017-09, Vol.183, p.389-400

2017

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Exploring the chemical subspace of RPLC: A data driven approach

Analytica chimica acta, 2024-08, Vol.1317, p.342869, Article 342869

2024

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Prediction of Chromatographic Retention Time in High-Resolution Anti-Doping Screening Data Using Artificial Neural Networks

Analytical chemistry (Washington), 2013-11, Vol.85 (21), p.10330-10337

2013

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Enhanced selectivity for acidic contaminants in drinking water: From suspect screening to toxicity prediction

Journal of hazardous materials, 2023-04, Vol.448, p.130906-130906, Article 130906

2023

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International Comparison, Risk Assessment, and Prioritisation of 26 Endocrine Disrupting Compounds in Three European River Catchments in the UK, Ireland, and Spain

Molecules (Basel, Switzerland), 2023-08, Vol.28 (16), p.5994

2023

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Ion chromatography-mass spectrometry: A review of recent technologies and applications in forensic and environmental explosives analysis

A review of the pharmaceutical exposome in aquatic fauna

A year-long study of the occurrence and risk of over 140 contaminants of emerging concern in wastewater influent, effluent and receiving waters in the Republic of Ireland

DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing

A year-long study of the spatial occurrence and relative distribution of pharmaceutical residues in sewage effluent, receiving marine waters and marine bivalves

Biomonitoring of pesticides, pharmaceuticals and illicit drugs in a freshwater invertebrate to estimate toxic or effect pressure

Suspect screening of large numbers of emerging contaminants in environmental waters using artificial neural networks for chromatographic retention time prediction and high resolution mass spectrometry data analysis

Pollution of Soil by Pharmaceuticals: Implications for Metazoan and Environmental Health

Gradient liquid chromatographic retention time prediction for suspect screening applications: A critical assessment of a generalised artificial neural network-based approach across 10 multi-residue reversed-phase analytical methods

Suspect screening of halogenated carboxylic acids in drinking water using ion exchange chromatography – high resolution (Orbitrap) mass spectrometry (IC-HRMS)

High-throughput multi-residue quantification of contaminants of emerging concern in wastewaters enabled using direct injection liquid chromatography-tandem mass spectrometry

Prediction of bioconcentration factors in fish and invertebrates using machine learning

A One-Health environmental risk assessment of contaminants of emerging concern in London’s waterways throughout the SARS-CoV-2 pandemic

Evaluation of combined sewer overflow impacts on short-term pharmaceutical and illicit drug occurrence in a heavily urbanised tidal river catchment (London, UK)

Spatio‐temporal assessment of illicit drug use at large scale: evidence from 7 years of international wastewater monitoring

Apportioning sources of chemicals of emerging concern along an urban river with inverse modelling

Multicompartment and cross-species monitoring of contaminants of emerging concern in an estuarine habitat

Untargeted metabolomics changes on Gammarus pulex induced by propranolol, triclosan, and nimesulide pharmaceutical drugs

Quantitative Determination and Environmental Risk Assessment of 102 Chemicals of Emerging Concern in Wastewater-Impacted Rivers Using Rapid Direct-Injection Liquid Chromatography-Tandem Mass Spectrometry

Dog swimming and ectoparasiticide water contamination in urban conservation areas: A case study on Hampstead Heath, London

Uptake, biotransformation and elimination of selected pharmaceuticals in a freshwater invertebrate measured using liquid chromatography tandem mass spectrometry

Exploring the chemical subspace of RPLC: A data driven approach

Prediction of Chromatographic Retention Time in High-Resolution Anti-Doping Screening Data Using Artificial Neural Networks

Enhanced selectivity for acidic contaminants in drinking water: From suspect screening to toxicity prediction

International Comparison, Risk Assessment, and Prioritisation of 26 Endocrine Disrupting Compounds in Three European River Catchments in the UK, Ireland, and Spain

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