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Optimization of sensors based on encapsulated algae for pesticide detection in water

Authors :
Sophie Dulhoste
Víctor Oestreicher
Matías Jobbágy
Sara A. Bilmes
Antoine Gosset
Claude Durrieu
Rémy Bayard
Mercedes Perullini
Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA)
Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)
Instituto de Química Física de los Materiales, Medio Ambiente y Energía [Buenos Aires] (INQUIMAE)
Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Facultad de Ciencias Exactas y Naturales [Buenos Aires] (FCEyN)
Universidad de Buenos Aires [Buenos Aires] (UBA)-Universidad de Buenos Aires [Buenos Aires] (UBA)
Déchets Eaux Environnement Pollutions (DEEP)
Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS)
Source :
Analytical Methods, Analytical Methods, Royal Society of Chemistry, 2019, 11 (48), pp.6193-6203. ⟨10.1039/C9AY02145K⟩
Publication Year :
2019
Publisher :
Royal Society of Chemistry (RSC), 2019.

Abstract

International audience; Pesticides represent a significant source of contamination for urban and suburban surface, ground and seawaters. Whole-cell algal biosensors are sensitive, cheap and adaptable early-warning systems, which are capable of detecting pesticides both in situ and continuously in discharges and receiving ecosystems. Here we designed and optimized a new biosensor with a microalgae immobilization method based on double encapsulation in alginate beads/silica gel, which has been proven safe for algae in previous studies. Pesticide detection was assessed by chlorophyll fluorescence disturbance using the two algae strains Chlorella vulgaris and Pseudokirchneriella subcapitata. Three pesticides (diuron, atrazine and isoproturon) were used to optimize and assess the sensor's performance. The first step was to select the optimal silica hydrogel (based on porosity and optical properties) to design the sensor. Two parameters were adjusted to obtain the best contact between microalgae and pesticides, optimizing pesticide detection: algal concentrations in the alginate beads and thickness of the silica gel around the algal beads. Finally, the biosensor's performance was assessed with pesticide solutions and the lowest detection limit was obtained with C. vulgaris exposed to diuron (10 μg L−1)

Details

ISSN :
17599679 and 17599660
Volume :
11
Database :
OpenAIRE
Journal :
Analytical Methods
Accession number :
edsair.doi.dedup.....a86aeed8d273002e88c2ab5f5570c1f7
Full Text :
https://doi.org/10.1039/c9ay02145k