Toxic cyanobacteria and drinking water: Impacts, detection, and treatment

He, Xuexiang; Liu, Yen-Ling; Conklin, Amanda; Westrick, Judy A.; Weavers, Linda K.; Dionysiou, Dionysios D.; Lenhart, John J.; Mouser, Paula J.; Szlag, David C.; Walker, Harold W.

doi:10.1016/j.hal.2016.01.001

Cited by 254 publications

(179 citation statements)

References 200 publications

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“…Figure 2b,c,d,f,g and h are representative images of a mixed suspension of Microcystis aeruginosa and Anabaena flos-aquae cells exposed to normal white light at different excitation wavelengths, specifically 365, 450–490, and 546 nm. When using the standard enumeration method 11 in which cells in a hemocytometer are exposed to white light, it is difficult to enumerate using an automated algorithm 11,25,26 . Comparatively, when light at each of the selected wavelengths was used to excite the naturally fluorescent pigments within the cells, contrast was enhanced.…”

Section: Resultsmentioning

confidence: 99%

“…However they frequently require expensive equipment not found in typical water quality laboratories. As well, flow cytometry is not always accurate/specific enough to distinguish cells from other particulate matter in the water matrix; molecular biology-based methods are costly and non-specific, while non-specific binding may occur with polyclonal techniques resulting in overestimation of cell concentration 25 . Indirect methods based on the fluorescence of photosynthetic pigments produced by the cyanobacteria (especially chlorophyll-a) are not specific to the target cells and may thus, also result in overestimation 26–28 .…”

Section: Introductionmentioning

confidence: 99%

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Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature

Jin

Mesquita

Deglint

et al. 2018

Sci Rep

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A novel imaging-driven technique with an integrated fluorescence signature to enable automated enumeration of two species of cyanobacteria and an alga of somewhat similar morphology to one of the cyanobacteria is presented to demonstrate proof-of-concept that high accuracy, imaging-based, rapid water quality analysis can be with conventional equipment available in typical water quality laboratories-this is not currently available. The results presented herein demonstrate that the developed method identifies and enumerates cyanobacterial cells at a level equivalent to or better than that achieved using standard manual microscopic enumeration techniques, but in less time, and requiring significantly fewer resources. When compared with indirect measurement methods, the proposed method provides better accuracy at both low and high cell concentrations. It extends the detection range for cell enumeration while maintaining accuracy and increasing enumeration speed. The developed method not only accurately estimates cell concentrations, but it also reliably distinguishes between cells of Anabaena flos-aquae, Microcystis aeruginosa, and Ankistrodesmus in mixed cultures by taking advantage of additional contrast between the target cell and complex background gained under fluorescent light. Thus, the proposed image-driven approach offers promise as a robust and cost-effective tool for identifying and enumerating microscopic cells based on their unique morphological features.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature

Jin

Mesquita

Deglint

et al. 2018

Sci Rep

View full text Add to dashboard Cite

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“…Initially, the model-based event detection method involves a signal-to-noise principles using laboratory and sensor test-loop evaluation. Indication of contamination events is derived from the chemical changes in background water quality signals [88,89], [137][138][139][140][141][142][143], [163], [167], [217], [244,245], [429,430] Sensor Placements Approach [372][373][374][375][376][377], [380][381][382][383][384][385][386][387][388], [391], [400][401][402][403][404][405][406][407], [434][435][436][437][438] Event Detection Model-based -High true positive alarm rate -Low false alarm detections -Fast response time -Complicated calibration process -Highly dependable on predictions and estimations -Computationally intensive…”

Section: Algorithmic Model-based Event Detectionmentioning

confidence: 99%

Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications

Zulkifli

Rahim

Lau

2018

Sensors and Actuators B: Chemical

216

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a b s t r a c tWater monitoring technologies are widely used for contaminants detection in wide variety of water ecology applications such as water treatment plant and water distribution system. A tremendous amount of research has been conducted over the past decades to develop robust and efficient techniques of contaminants detection with minimum operating cost and energy. Recent developments in spectroscopic techniques and biosensor approach have improved the detection sensitivities, quantitatively and qualitatively. The availability of in-situ measurements and multiple detection analyses has expanded the water monitoring applications in various advanced techniques including successful establishment in hand-held sensing devices which improves portability in real-time basis for the detection of contaminant, such as microorganisms, pesticides, heavy metal ions, inorganic and organic components. This paper intends to review the developments in water quality monitoring technologies for the detection of biological and chemical contaminants in accordance with instrumental limitations. Particularly, this review focuses on the most recently developed techniques for water contaminant detection applications. Several recommendations and prospective views on the developments in water quality assessments will also be included.

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“…Neurotoxic analogues of ANTX include homoanatoxin-a, although ANTX is the most potent and most prevalent of the analogues in North America (Rellán, Osswald, Vasconcelos, & Gago-Martinez, 2007). Several ANTX-producing cyanobacterial genera have been identified, including Anabaena, Aphanizomenon, Microcystis, Oscillatoria, Phormidium, and Planktothrix (AWWA & Water Research Foundation, 2016;He et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Oxidation with ozone (Onstad, Strauch, Meriluoto, Codd, & Von Gunten, 2007), permanganate (Rodríguez et al, 2007), or advanced oxidation processes (Afzal, Oppenländer, Bolton, & El-Din, 2010) has been shown to be an effective drinking water treatment barrier for ANTX; however, chlorine-the most commonly applied oxidant in water treatment-is not a viable treatment option (Rodríguez et al, 2007). Reviews of cyanotoxin treatment strategies point to a lack of available information on the adsorption of ANTX and the anticipated difference in the behaviors of different carbon types (AWWA & Water Research Foundation, 2016;Global Water Research Coalition, 2012;He et al, 2016;Vlad, Anderson, Peldszus, & Huck, 2014;Westrick, Szlag, Southwell, & Sinclair, 2010).…”

Section: Introductionmentioning

confidence: 99%

Anatoxin‐a adsorption by virgin and preloaded granular activated carbon

et al. 2019

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Adsorption of the cyanotoxin anatoxin‐a (ANTX) in ultrapure water by five virgin and preloaded granular activated carbons (GACs) was examined using the bottle‐point technique; this article presents baseline adsorption data for ANTX not yet available in the literature. Of the virgin carbons, the two wood‐based carbons adsorbed ANTX more rapidly than the one coconut‐based or two coal‐based carbons. Virgin coal‐based carbons had the greatest equilibrium capacity (1.8–6.9 μg/mg at 1 μg/L aqueous ANTX) compared with their virgin coconut‐ and wood‐based counterparts (1.2 and 0.9–1.0 μg/mg, respectively). GAC preloading via exposure to surface water resulted in kinetic changes and reduced capacity. Preloaded coal‐based carbons adsorbed ANTX faster than the virgin equivalents. At environmentally relevant ANTX concentrations, coal‐based preloaded carbons retained higher equilibrium capacity (1.2 μg/mg) compared with coconut‐ and wood‐based carbons (1.0 and 0.6 μg/mg, respectively). Natural organic matter competition will affect adsorption performance and should be investigated.

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Toxic cyanobacteria and drinking water: Impacts, detection, and treatment

Cited by 254 publications

References 200 publications

Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature

Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature

Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications

Anatoxin‐a adsorption by virgin and preloaded granular activated carbon

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