Katalin Demeter, Jean-Baptiste Burnet, Philipp Stadler, Alexander K. T. Kirschner, Matthias Zessner et Andreas H. Farnleitner
Article de revue (2020)
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Résumé
To facilitate the prompt management of public health risks from water resources, the fluorescence-based detection of the enzymatic activity of β-d-glucuronidase (GLUC) has been suggested as a rapid method to monitor fecal pollution. New technological adaptations enable now its automated, near-real-time measurement in a robust and analytically precise manner. Large data sets of high temporal or spatial resolution have been reported from a variety of freshwater resources, demonstrating the great potential of this automated method. However, the fecal indication capacity of GLUC activity and the potential link to health risk is still unclear, presenting considerable limitations. This review provides a critical evaluation of automated, online GLUC-based methods (and alternatives) and defines open questions to be solved before the method can fully support water management.
Mots clés
Fecal pollution, Rapid enzymatic methods, β-d-Glucuronidase, Fecal indicator bacteria, E. coli,Water safety
Sujet(s): | 1000 Génie civil > 1000 Génie civil |
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Département: | Département des génies civil, géologique et des mines |
Organismes subventionnaires: | Technische Universitat Wien, Austrian Science Fund, Österreichische Forschungsförderungsgesellschaft, NÖ Forschungs- und Bildungsges.m.b.H., Natural Sciences and Engineering Research Council of Canada |
Numéro de subvention: | SC15-016, W1219, GIP226TPC, 841582, 373547, 505651-16 |
URL de PolyPublie: | https://publications.polymtl.ca/54290/ |
Titre de la revue: | Current Opinion in Environmental Science & Health (vol. 16) |
Maison d'édition: | Elsevier BV |
DOI: | 10.1016/j.coesh.2020.03.002 |
URL officielle: | https://doi.org/10.1016/j.coesh.2020.03.002 |
Date du dépôt: | 15 sept. 2023 15:34 |
Dernière modification: | 30 sept. 2024 00:04 |
Citer en APA 7: | Demeter, K., Burnet, J.-B., Stadler, P., Kirschner, A. K. T., Zessner, M., & Farnleitner, A. H. (2020). Automated online monitoring of fecal pollution in water by enzymatic methods. Current Opinion in Environmental Science & Health, 16, 82-91. https://doi.org/10.1016/j.coesh.2020.03.002 |
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