Project Details
Robotic, Underwater Sensor for Harmful Algal Bloom Toxins
Project Status: This project began in January, 2002 and is Ongoing
We developed a device to provide resource managers and public-health officials with valuable, real-time data on harmful algal bloom (HAB) toxicity. This robotic, underwater sensor provides fast and accurate measurements of harmful toxins associated with marine algal blooms. Bloom toxicity is one of several factors that determine the potential for adverse effects on humans and wildlife, and toxicity levels are known to fluctuate rapidly over a wide range.
Why We Care
Each year domoic acid released from harmful algal blooms causes more than $20 million in fishery- related economic losses in US coastal communities. Toxin levels change constantly according to environmental conditions during the course of an algal bloom, making real-time toxicity measurements essential for managers and responders. Early warning of a toxic bloom and rapid response are critical in minimizing risks associated with a bloom event such as human illness and death, and fishery closures.
What We’re Doing
We worked with the Monterey Bay Aquarium Research Institute to develop an autonomous, underwater sensor that detects both harmful algae of the genus Pseudo-nitzschia and the potent neurotoxin they produce, domoic acid.
The Environmental Sample Processor (ESP) instrument:
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uses DNA probes to detect the algae and antibodies to detect their toxin;
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sends the information in near-real time to users located on ship or shore;
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reveals the abundance and toxicity of algal cells present during a bloom and helps managers make informed decisions to mitigate the bloom’s impacts;
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provides early warning of increasing toxicity, allowing strategic shellfish harvesting closures and re-openings, and minimizes the risk of human exposure.
The ESP is now available commercially.
What’s Next
We’re developing a new application that will allow the ESP to detect another class of algal toxins: paralytic shellfish poisoning toxins. Several partners are investigating the use of this sensor technology to monitor harmful algal blooms along the coasts of New England (Woods Hole Oceanographic Institution) and the Pacific Northwest (NOAA West Coast Center for Oceans and Human Health).
We envision the ESP as an integral part of the US Integrated Ocean Observing System (IOOS), providing critical information on harmful algal blooms to coastal resource managers. A follow-on project funded by the National Science Foundation will transition the ESP’s HAB species and toxin detection capabilities onto an autonomous underwater vehicle (AUV). Deployment of the AUV-mounted ESP will provide an unprecedented ability to track HABs in both time and space while measuring changes in cell abundance and toxicity, along with other factors such as temperature, salinity, and nutrients, characteristics that may influence growth and toxin production in these algae.
Related Regions of Study: California, South Carolina
Primary Contact: Greg Doucette
Research Area:
Harmful Algal Blooms (Sensor Development, Forecasting, Rapid Response)
Related NCCOS Center: CCEHBR
Publications
- Babin, M., J.J. Cullen, C.S. Roesler, P.L. Donaghay, G.J. Doucette, M. Kahru, M.R. Lewis, C.A. Scholin, M.E. Sieracki, and H.M. Sosik. 2005. New approaches and technologies for observing harmful algal blooms. Oceanography 18(2):210–227.
- Greenfield, Dianne I., Roman Marin III, Gregory J. Doucette, G.J., Christina Mikulski, , Kelly Jones, Scott Jensen, Brent Roman, Nilo Alvarado, Jason Feldman, and Chris Scholin. 2008. Field applications of the second-generation Environmental Sample Processor (ESP) for remote detection of harmful algae: 2006-2007. Limnology and Oceanography: Methods 6:667-679
- Scholin, C.A., G.J. Doucette, and A.D. Cembella. 2008. Prospects for developing automated systems for in situ detection of harmful algae and their toxins. In: Babin, M., J. Cullen, and C. Roessler (eds.), Real time coastal observing systems for ecosystem dynamics and harmful algal blooms. Monographs on Oceanographic Methodologies, Vol. 10. Paris: Intergovernmental Oceanographic Commission of UNESCO. pp. 413-462.
- Scholin, C., G. Doucette, S. Jensen, B. Roman, D. Pargett, R. Marin III, C. Preston, W. Jones,
J. Feldman, C. Everlove, A. Harris, N. Alvarado, E. Massion, J. Birch, D. Greenfield,
R. Vrijenhoek, C. Mikulski, and K. Jones. 2009. Remote detection of marine microbes, small
invertebrates, harmful algae, and biotoxins using the Environmental Sample Processor (ESP).
Oceanography 22(2):158–167, doi:10.5670/oceanog.2009.46
- Doucette, Gregory J., Christina M. Mikulski, Kelly L. Jones, Kristen L. King, Dianne I. Greenfield, Roman Marin III, Scott Jensen, Brent Roman, Christopher T. Elliott, and Christopher A. Scholin. 2009. Remote, subsurface detection of the algal toxin domoic acid onboard the Environmental Sample Processor: Assay development and field trials. Harmful Algae 8(6):880-888.
- Ryan, J., D. Greenfield, R. Marin III, C. Preston, B. Roman, S. Jensen, D. Pargett, J. Birch, C. Mikulski, G. Doucette, and C. Scholin. 2011. Harmful phytoplankton ecology studies using an autonomous molecular analytical and ocean observing network. Limnology & Oceanography 56(4):1255–1272.
- Doucette, Gregory J., Christina M. Mikulski, Kelly L. Jones, Kristen L. King, Dianne I. Greenfield, Roman Marin III, Scott Jensen, Brent Roman, Christopher T. Elliott, and Christopher A. Scholin. 2009. Remote, subsurface detection of the algal toxin domoic acid onboard the Environmental Sample Processor: Assay development and field trials. Harmful Algae 8(6):880-888.
- Ryan, J., D. Greenfield, R. Marin III, C. Preston, B. Roman, S. Jensen, D. Pargett, J. Birch, C. Mikulski, G. Doucette, and C. Scholin. 2011. Harmful phytoplankton ecology studies using an autonomous molecular analytical and ocean observing network. Limnology & Oceanography 56(4):1255–1272.
- Ryan, J.P., M.A. McManus, R.M. Kudela, M. Lara Artigas, J.G. Bellingham, F.P. Chavez, G. Doucette, D. Foley, M. Godin, J.B.J. Harvey, R. Marin III, M. Messié, C. Mikulski, T. Pennington, F. Py, K. Rajan, I. Shulman, Z. Wang, and Y. Zhang. 2013. Boundary influences on phytoplankton ecology in a stratification-enhanced upwelling shadow. Deep-Sea Research II (in press, available online) http://dx.doi.org/10.1016/j.dsr2.2013.01.017.
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