Early Warning Strategies and Practices Along the River Rhine

Diehl, Peter; Gerke, Thomas; Jeuken, Ad; Lowis, Jaqueline; Steen, Ruud; Steenwijk, Jaap van; Stoks, Peter G.; Willemsen, Hans-Günter

doi:10.1007/698_5_015

Cited by 11 publications

(12 citation statements)

References 3 publications

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“…It was based on an established AZUR bioluminescent technology, (Azur Environmental, Carlsbad, CA, USA) where the metabolic effect of toxicity is mea-sured as a decrease in the light output from the natively bioluminescent strain of bacteria Aliivibrio fischeri (formerly known as Vibrio fischeri) [22][23][24]. Microtox-OS was an automated version of the standard, laboratory Microtox test [11,25]. The system was equipped with a rotating carousel that held 36 vials of freeze-dried Microtox reagent.…”

Section: Online Microtox Systemmentioning

confidence: 99%

“…This system was developed by LAR Process Analysers AG (Berlin, Germany) and is an example of automated BEWS based on bacterial respirometry in accordance with the ISO 9509:2006 standard (Figure 1) [11,25]. The principle of ToxAlarm Toximeter is the measurement of oxygen consumption by nitrifying bacteria [25].…”

Section: Toxalarm Toximetermentioning

confidence: 99%

“…Namely, they are incapable of deciphering if an accidental discharge of toxic chemicals has occurred. Moreover, they cannot detect any additive and synergetic effects of toxicants on living organisms [1,2,7,8,10,11].…”

Section: Introductionmentioning

confidence: 99%

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Live-Cell Systems in Real-Time Biomonitoring of Water Pollution: Practical Considerations and Future Perspectives

Wlodkowic

Karpiński

2021

Sensors

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Continuous monitoring and early warning of potential water contamination with toxic chemicals is of paramount importance for human health and sustainable food production. During the last few decades there have been noteworthy advances in technologies for the automated sensing of physicochemical parameters of water. These do not translate well into online monitoring of chemical pollutants since most of them are either incapable of real-time detection or unable to detect impacts on biological organisms. As a result, biological early warning systems have been proposed to supplement conventional water quality test strategies. Such systems can continuously evaluate physiological parameters of suitable aquatic species and alert the user to the presence of toxicants. In this regard, single cellular organisms, such as bacteria, cyanobacteria, micro-algae and vertebrate cell lines, offer promising avenues for development of water biosensors. Historically, only a handful of systems utilising single-cell organisms have been deployed as established online water biomonitoring tools. Recent advances in recombinant microorganisms, cell immobilisation techniques, live-cell microarrays and microfluidic Lab-on-a-Chip technologies open new avenues to develop miniaturised systems capable of detecting a broad range of water contaminants. In experimental settings, they have been shown as sensitive and rapid biosensors with capabilities to detect traces of contaminants. In this work, we critically review the recent advances and practical prospects of biological early warning systems based on live-cell biosensors. We demonstrate historical deployment successes, technological innovations, as well as current challenges for the broader deployment of live-cell biosensors in the monitoring of water quality.

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Section: Online Microtox Systemmentioning

confidence: 99%

Section: Toxalarm Toximetermentioning

confidence: 99%

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Live-Cell Systems in Real-Time Biomonitoring of Water Pollution: Practical Considerations and Future Perspectives

Wlodkowic

Karpiński

2021

Sensors

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“…Employing only a single species will severely compromise the integrity of the EWS as many organisms exhibit varying levels of sensitivities to different contaminants (Bunn, 1995). To address this issue, a number of water monitoring stations in Germany and the Netherlands have installed several biomonitoring systems including multiple species of various trophic levels (Diehl et al, 2006). Despite the system redundancy, there has been no published work to characterize the responses of these biomonitors to different contaminants, and as a result, current biomonitoring systems are only capable of indicating the occurrence of a pollutant without identifying the actual contaminating agent.…”

Section: Introductionmentioning

confidence: 99%

Development of a Library of Responses for an Early-Warning Biomonitoring System to Detect and Identify Various Aquatic Contaminants

Maradona¹

2021

Preprint

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Biomonitors can be implemented in aquatic ecosystems to continuously assess water quality, but existing monitors are still reliant on a single species and unable to identify any stressor. A library of responses could potentially address these drawbacks by stereotyping the responses of several aquatic species to different contaminants. A model for the library was developed by conducting a bioassay on Pseudokirchneriella subcapitata and collecting the response data of Daphnia magna, Hyalella azteca and Lumbriculus variegatus from published ecotoxicological studies. Multivariate statistical tools were then employed to process the response data set and evaluate the ability of the model to distinguish contaminations by atrazine and tributyltin. Based on preliminary tests, the library was able to detect and identify each contaminant within 4 hours with an accuracy of 97%. These findings supported the integration of a library of responses in a biomonitoring system to provide a more comprehensive water quality assessment.

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“…Therefore, systems based on living organisms (i.e. Biological Early Warning Systems, BEWS) have become increasingly popular recently [1][2][3]. Building such a system is a complex task, which requires a selection of an appropriate bioindicator for the monitored environment, preparation of a measurement system that provides data for further processing, analysis and classification methods.…”

Section: Introductionmentioning

confidence: 99%

Zebra mussels’ behaviour detection, extraction and classification using wavelets and kernel methods

Przymus

Rykaczewski

Winiewski

2014

Future Generation Computer Systems

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Early Warning Strategies and Practices Along the River Rhine

Cited by 11 publications

References 3 publications

Live-Cell Systems in Real-Time Biomonitoring of Water Pollution: Practical Considerations and Future Perspectives

Live-Cell Systems in Real-Time Biomonitoring of Water Pollution: Practical Considerations and Future Perspectives

Development of a Library of Responses for an Early-Warning Biomonitoring System to Detect and Identify Various Aquatic Contaminants

Zebra mussels’ behaviour detection, extraction and classification using wavelets and kernel methods

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