Remote, subsurface detection of the algal toxin domoic acid onboard the Environmental Sample Processor: Assay development and field trials

By G. Doucette, C. Mikulski, Kelly L. Jones, Kristen L King, D. Greenfield, R. Marin, S. Jensen, B. Roman, Christopher T. Elliott, C. Scholin. 2009

88 citations recorded by the source corpus.

Subfields: Ecology, Environmental Chemistry, Oceanography

View Paper: https://www.semanticscholar.org/paper/82f77f6f2a0528d0abf81108eeec3b354a1cd036

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. M. Poulin
2. Nina Lundholm
3. Anne E. Thessen
4. N. Daugbjerg
5. Stephen Bates
6. R. Gradinger
7. W. Cochlan
8. V. Trainer

In Environmental Chemistry

1. Stephen Bates
2. V. Trainer
3. W. Cochlan
4. Nina Lundholm
5. Anne E. Thessen
6. Charles G. Trick
7. N. Daugbjerg
8. N. Adams

In Oceanography

1. Stephen Bates
2. V. Trainer
3. W. Cochlan
4. Nina Lundholm
5. Charles G. Trick
6. Anne E. Thessen
7. N. Daugbjerg
8. R. Gradinger

Citations in the corpus

• The pan-Arctic biodiversity of marine pelagic and sea-ice unicellular eukaryotes: a first-attempt assessment (2011, methodology): “Real-time PCR based on sequence information obtained from PCR clone libraries or pyrosequencing can then be used to get abundance estimates of dominant or harmful/toxic species (Doucette et al. 2009; Scholin et al. 2009).”
• Pseudo-nitzschia physiological ecology, phylogeny, toxicity, monitoring and impacts on ecosystem health (2012, methodology): “An example of a remote sensing technology is the automated molecular detection and quantification of Pseudo-nitzschia cells and DA, using the environmental sample processor (ESP; Scholin et al., 1999; Greenfield et al., 2006, 2008; Doucette et al., 2009).”