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Toward inline multiplex biodetection of metals, bacteria, and toxins in water networks: the COMBITOX project
- Source :
- Environmental Science and Pollution Research, Environmental Science and Pollution Research, 2017, 24 (1), pp.1-3. ⟨10.1007/s11356-015-5582-4⟩, Environmental Science and Pollution Research, Springer Verlag, 2017, 24 (1), pp.1-3. ⟨10.1007/s11356-015-5582-4⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- This special issue of Environmental Science and Pollution Research highlights selected papers whose results have been obtained in the course of the COMBITOX project. COMBITIOX is an interdisciplinary research project funded by the French National Research Agency (ANR) aiming at conceiving an inline multiparametric device for the surveillance of water networks using biosensors. This device is not intended to fully replace chemical methods, but when compared to analytical chromatographic methodologies, biological sensors can offer rapid and on-site monitoring of even trace levels of targeted compounds (Sun et al. 2015) and can quickly raise the alarm in the event of an accidental or intentional pollution. Numerous developments have been published to improve the sensitivity, specificity, and time response of various biosensors in laboratory conditions (Xiong et al. 2012) (der Meer et al. 2010), but their actual transfer into technological devices for the surveillance of water networks remains at a conceptual level. Thus, the challenge here is to go a step beyond and validate biosensors under real-life field conditions by incorporating them in a single inline detector. During the course of COMBITOX, we could define the interface between the biosensors and a common light detector as well as the physical conditioning of the bioreagents and usage protocol. Our resulting prototype allow the detection of bioavailable toxic compounds as well as microorganisms, impacting human health through the drinking water network or interfering with the biological process of modern wastewater treatment plants. We also plan to propose this system to meet the emerging threats such as bioterrorism. COMBITOX focuses on three families of Bobjects^ to detect: metals (cadmium, mercury, arsenic, nickel, etc.), environmental and/or food toxins, and pathogenic microorganisms. Whole-cell biosensors based on reporter gene under the control of an inducible promoter are used to detect various metals (Hynninen and Virta 2010), the antibody/antigen interaction for toxins (Makaraviciute and Ramanaviciene 2013), and the specific infection of bacteria by bacteriophages for pathogenic microorganisms (Smartt et al. 2012) (Vinay et al. 2015). In all cases, the signal measured is photochemical (fluorescence, bioluminescence, or chemo-luminescence): such a method to transduce the biological recognition is very sensitive and a single photodetector can be used for all biosensors included in the device. The challenge here rather lies in the design and the optimization of the different biological compounds for their use in the field while maintaining a high sensibility and robustness. As a consequence, the different articles presented in this special issue focus on original strategies for the optimization and the adaptation of the three types of biosensors for their use in a semi-autonomous inline water analyzer. In the case of whole-cell biosensors, improvement of the dose-responses Responsible editor: Philippe Garrigues
- Subjects :
- Engineering
Health, Toxicology and Mutagenesis
02 engineering and technology
[SDV.BC]Life Sciences [q-bio]/Cellular Biology
010501 environmental sciences
Bioinformatics
01 natural sciences
Human health
Time response
Environmental Chemistry
Multiplex
[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology
ComputingMilieux_MISCELLANEOUS
0105 earth and related environmental sciences
Light detector
[SDV.GEN]Life Sciences [q-bio]/Genetics
Physical conditioning
business.industry
General Medicine
021001 nanoscience & nanotechnology
Pollution
6. Clean water
13. Climate action
[SDE]Environmental Sciences
Biochemical engineering
0210 nano-technology
business
Biosensor
Conceptual level
Field conditions
Subjects
Details
- Language :
- English
- ISSN :
- 09441344 and 16147499
- Database :
- OpenAIRE
- Journal :
- Environmental Science and Pollution Research, Environmental Science and Pollution Research, 2017, 24 (1), pp.1-3. ⟨10.1007/s11356-015-5582-4⟩, Environmental Science and Pollution Research, Springer Verlag, 2017, 24 (1), pp.1-3. ⟨10.1007/s11356-015-5582-4⟩
- Accession number :
- edsair.doi.dedup.....33f70fb81594e6934fde942a56d3b703
- Full Text :
- https://doi.org/10.1007/s11356-015-5582-4⟩