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Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
JoVE Journal
Chemistry
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JoVE Journal Chemistry
Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

DOI:
10.3791/61889-v

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07:13 min

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February 25, 2021

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, , , ,
1TheBlueChemistryLab, Department of Pharmacy,University of Naples Federico II, 2Department of Public Health,University of Naples Federico II, 3Department of Engineering,University Parthenope

Chapters

  • 00:05Introduction
  • 01:17Remote and Proximal Sensing Data Retrieval and Analysis
  • 02:38Cyanobacteria Species Identification
  • 03:04Cyanotoxin Identification and Bioinformatic Analysis and Molecular Networking
  • 04:53Results: Representative Fast Detection Strategy Analysis
  • 06:19Conclusion

Summary

Automatic Translation

Automatic Translation

A fast-multidisciplinarystrategy for early detection of cyanobacterial blooms and associated cyanotoxins is described here. It allows for the detection of cyanobacteria and related cyanotoxins in water samples and in organic matrices, such as bivalve samples, in 24 h.

Tags

Keywords: Cyanobacteria BloomsCyanotoxinsEarly DetectionFast Detection StrategyRemote SensingProximal SensingWater SamplingMicroscopic AnalysisEnvironmental ParametersMobile LabDrone SurveyTaxonomic Analysis

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