Daphniatox – Online monitoring of aquatic pollution and toxic substances

Häder, Donat‐P.; Erzinger, Gilmar Sidnei

doi:10.1016/j.chemosphere.2016.09.155

Cited by 23 publications

(26 citation statements)

References 41 publications

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“…For microorganisms and aquatic toxins however, qualitative sensors are being employed. Here most interesting is the use of nonportable eco-toxicity tests for freshwater (Häder and Erzinger, 2017), and seawater (Y. screening. Such tests require minimal time while allowing continuous screening which can be useful as an early warning system.…”

Section: Sensors/methods Investigated Using Test Classificationmentioning

confidence: 99%

The end user sensor tree: An end-user friendly sensor database

Nelis

Tsagkaris

Zhao

et al. 2019

Biosensors and Bioelectronics

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Detailed knowledge regarding sensor based technologies for the detection of food contamination often remains concealed within scientific journals or divided between numerous commercial kits which prevents optimal connectivity between companies and end-users. To overcome this barrier The End user Sensor Tree (TEST) has been developed. TEST is a comprehensive, interactive platform including over 900 sensor based methods, retrieved from the scientific literature and commercial market, for aquatictoxins, mycotoxins, pesticides and microorganism detection. Key analytical parameters are recorded in excel files while a novel classification system is used which provides, tailor-made, experts' feedback using an online decision tree and database introduced here. Additionally, a critical comparison of reviewed sensors is presented alongside a global perspective on research pioneers and commercially available products. The lack of commercial uptake of the academically popular electrochemical and nanomaterial based sensors, as well as multiplexing platforms became very apparent and reasons for this anomaly are discussed.

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Section: Sensors/methods Investigated Using Test Classificationmentioning

confidence: 99%

The end user sensor tree: An end-user friendly sensor database

Nelis

Tsagkaris

Zhao

et al. 2019

Biosensors and Bioelectronics

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“…Systems are more sensitive and precise than physicochemical sensors. They allow to obtain information about various pollutions in real-time (heavy metal, organic and inorganic components, pesticide, herbicide and antibiotics) (Kramer and Foekema 2000, Gu et al 2004, Zurita et al 2007, Storey et al 2011, Traczewska 2011, Woutersen et al 2011, Bea and Park 2014, Jia i Ionescu 2015, Häder and Erzinger 2017. The tools used to evaluate behavior are inexpensive what makes them both more practical and economical than chemical methods.…”

Section: (Van Den Honert and Lootsma 2000)mentioning

confidence: 99%

Selection of the Most Effective Biological Early Warning System, Based on Ahp and Rembrandt Analysis

Chmist¹,

Szoszkiewicz²,

Hämmerling³

2019

ASP.FC

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In paper, the ability to use of the biological early warning systems, in tap water quality biomonitoring was analyzed, based on multiple-criteria decision analysis. Five groups of organisms (invertebrates, fishes, algae, fungi and bacteria) were analyzed for the sensitivity to disturbance, the area of use, the amount of detected components, the rate of reaction and the data interpretation. Both analyzes revealed, that invertebrates are the most sensitive bioindicators (49% AHP, 29% Rembrandt). The other organisms which are useful in BEWS systems are algae and fishes. More problematic may be systems based on fungi and bacteria.Both analysis Rembrandt, as well as analytic hierarchy process(AHP) have indicated the rate of reaction as the most important factor in BEWS. All of BEWS systems are focused on reduce the time required to obtain the information about pollution presence, because the standard monitoring of tap water quality, based on physical and chemical methods, are usually time consuming.

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“…Daphnia is accepted as a suitable organism to monitor freshwater, wastewater and sludge toxicity [40] the OECD test 202 [41]. A recently developed automatic bioassay using these organisms is based on the real-time analysis of swimming Daphnia and monitors 14 different endpoints including motility, orientation and form factors [42]. became longer, since the area was nearly constant (Figure 7).…”

Section: After Reaction With Oxygen and Heavy Metals Such As Ironmentioning

confidence: 99%

Arsenic Pollution Measured with an online Monitoring System using Daphnia

Erzinger¹

2017

Open J Environ Biol

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Arsenic is a common pollutant in many water reservoirs around the world and is the cause of human mortality in many countries. The microcrustacean Daphnia can be cultured easily and is sensitive to many toxic substances including As. This bioindicator is the basis of the Daphniatox instrument which uses computerized image analysis of swimming organisms in real time. Fourteen endpoints are evaluated including motility, swimming velocity, orientation with respect to light or gravity as well as several cell size and form parameters. Using automatic track analysis of a large number of organisms warrants high statistical signifi cance. In a vertical swimming fl ask Daphnia shows pronounced gravitaxis moving upward and downward while in a horizontal fl ask the organisms swim in random directions. Exposure for up to 72 h to 0-10 mg/L NaAsO 2 (corresponding to 0-77.5 μM As) according to the standard NBR 12713 protocol showed an EC 50 value of 5.97 mg/L for motility after an exposure time of 7 h and 4.82 mg/L after 26 h. Comparably, the EC 50 value for velocity was 5.32 mg/L after an exposure time of 7 h and after 26 h it was 3.05 mg/L. As expected, the length of the organisms did not change over the exposure time because of their rigid exoskeleton, but the circularity which corresponds to the area divided by the perimeter squared decreased which is interpreted to be due to a release of water. The results indicate that this method provides a reliable, fast and inexpensive test for arsenic toxicity in drinking water from wells and reservoirs.

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Daphniatox – Online monitoring of aquatic pollution and toxic substances

Cited by 23 publications

References 41 publications

The end user sensor tree: An end-user friendly sensor database

The end user sensor tree: An end-user friendly sensor database

Selection of the Most Effective Biological Early Warning System, Based on Ahp and Rembrandt Analysis

Arsenic Pollution Measured with an online Monitoring System using Daphnia

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