An improved immunoassay for detection of saxitoxin by surface plasmon resonance biosensors

B.J. Yakes, S. Prezioso, S.A. Haughey, Katrina Campbell, Christopher Elliott, S.L. DeGrasse

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)


Saxitoxin and its analogs, the causative agents of paralytic shellfish poisoning (PSP), are a worldwide threat to seafood safety. Effective monitoring of potentially contaminated fishing areas as well as screening of seafood samples is necessary to adequately protect the public. While many analytical methods exist for detecting paralytic shellfish toxins (PSTs), each technique has challenges associated with routine use. One recently developed method [1] that overcomes ethical or performance-related issues of other techniques is the surface plasmon resonance (SPR) bioassay. Notwithstanding the advantages of this method, much research remains in optimizing the sensor substrate and assay conditions to create a robust technique for rapid and sensitive measurement of PSTs. This manuscript describes a more rigorous and stable SPR inhibition immunoassay through optimization of the surface chemistry as well as determination of optimum mixture ratios and mixing times. The final system provides rapid substrate formation (18 h saxitoxin conjugation with low reagent consumption), contains a reference channel for each assay, and is capable of triplicate measurements in a single run with detection limits well below the regulatory action level. Published by Elsevier B.V.
Original languageEnglish
Pages (from-to)805-811
Number of pages7
Issue number2
Publication statusPublished - Aug 2011

ASJC Scopus subject areas

  • Instrumentation
  • Materials Chemistry
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


Dive into the research topics of 'An improved immunoassay for detection of saxitoxin by surface plasmon resonance biosensors'. Together they form a unique fingerprint.

Cite this