Using surrogate passive sampler devices and predictive machine learning algorithms to replace invertebrate use in micropollutant bioconcentration test
Lead Research Organisation:
King's College London
Department Name: Analytical & Environmental Sciences
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Publications
Richardson A
(2022)
A miniaturized passive sampling-based workflow for monitoring chemicals of emerging concern in water
in Science of The Total Environment
Richardson AK
(2021)
Rapid direct analysis of river water and machine learning assisted suspect screening of emerging contaminants in passive sampler extracts.
in Analytical methods : advancing methods and applications
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| BB/M009513/1 | 30/09/2015 | 31/03/2024 | |||
| 2125200 | Studentship | BB/M009513/1 | 30/09/2018 | 29/03/2023 | Alexandra Richardson |
| Description | The development of a novel, miniaturised 3D-printed passive sampler device that can act as a surrogate for invertebrates during pollution studies. |
| Exploitation Route | The 3D-printed device can be carried forward by others for different applications (e.g. air quality and soil monitoring) and can be adapted to possess traits of other passive samplers. |
| Sectors | Education Government Democracy and Justice Manufacturing including Industrial Biotechology |
| Description | IMPART |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | The IMPART (Imperial Monitoring using Passive samplers to Assess Rivers and Tributaries) project engaged 17 citizen scientists from three locations (London, Sheffield and Norwich) in a week-long monitoring program where they deployed novel, miniaturised 3D-printed passive samplers in their local water systems. The passive sampler devices were sent back to Imperial College London for analysis and the results were presented to the participants and other members of the public in November 2022. A public-facing report is forthcoming in April 2023. |
| Year(s) Of Engagement Activity | 2022 |