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River toxicity assessment using molecular biosensors: Heavy metal contamination in the Turag-Balu-Buriganga river systems, Dhaka, Bangladesh

Abstract:
Pollution in rapidly urbanising cities and in delta systems is a serious problem that blights the lives and livelihoods of millions of people, damaging and restricting potable water supply and supplies to industry (Whitehead et al, 2015, 2018). Employing new technology based on luminescent molecular biosensors, the toxicity in the rivers around Dhaka in Bangladesh, namely the Turag, Tongi, Balu and Buriganga, has been assessed. Samples taken at 36 sites during medium and low flow conditions and during the Bishwa Ijtema Festival revealed high levels of cell toxicity, as well as high concentrations of metals, particularly aluminium, cadmium, chromium, iron, zinc, lithium, selenium and nickel. Chemical analysis also revealed low dissolved oxygen levels and anoxic conditions in the rivers at certain sites. The bacterial molecular biosensors were demonstrated to be fast, with results in 30 min, robust and a highly sensitive method for the assessment of water toxicity in the field. Furthermore, the biosensor toxicity analysis correlated with the metals data, and a multivariate regression relationship was developed relating toxicity to key metals, such a selenium, zinc and chromium. The resulting model has been validated against split samples and the Bishwa Ijtema Festival data. The combination of modelling and the molecular biosensor technology provides a new approach to detecting and managing pollution in urban river systems.
Publication status:
Published
Peer review status:
Peer reviewed

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10.1016/j.scitotenv.2019.134760

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Institution:
University of Oxford
Department:
SOGE
Role:
Author


Publisher:
Elsevier
Journal:
Science of the Total Environment More from this journal
Volume:
703
Article number:
134760
Publication date:
2019-10-31
Acceptance date:
2019-09-29
DOI:
EISSN:
1879-1026
ISSN:
0048-9697
Pmid:
31744697


Language:
English
Keywords:
Pubs id:
pubs:1074142
UUID:
uuid:53097e4e-df1f-486b-a3c7-31a1ef024ddb
Local pid:
pubs:1074142
Source identifiers:
1074142
Deposit date:
2020-01-14
ARK identifier:

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