A Fast Detection Strategy for Cyanobacterial blooms and associated cyanotoxins (FDSCC) reveals the occurrence of lyngbyatoxin A in campania (South Italy). (June 2019)

• Record Type: Journal Article
• Authors: Esposito, Germana; Teta, Roberta; Marrone, Raffaele; De Sterlich, Carlo; Casazza, Marco; Anastasio, Aniello; Lega, Massimiliano; Costantino, Valeria
• Is Part Of: Chemosphere. Volume 225(2019)
• Page Start: 342
• Page End: 351
• Publication Date: 2019-06
• Subjects: Cyanobacteria -- Cyanotoxins -- Lyngbyatoxin A -- LC-HRMS-based molecular networking -- Bivalves -- Remote sensing; ARPAC Campania Regional Environmental Protection Agency, Italy -- BuOH butanol -- Chl-a chlorophyll-a -- CHCl3 chloroform -- DDA Data-Dependent Acquisition -- FDSCC Fast Detection Strategy for Cyanobacterial blooms and Cyanotoxins -- GNPS Global Natural Products Social -- HCOOH formic acid -- H2O water -- LC-HRMS and LC-HRMS/MS Liquid Chromatography–High-Resolution Mass Spectrometry and tandem mass spectrometry -- MALDI-TOF MS Matrix-Assisted Laser Desorption Ionization–Time Of Flight Mass Spectrometry -- MC-LR microcystin-LR -- MeOH methanol -- MHRS man-hours -- MODIS Moderate-Resolution Imaging Spectroradiometer -- N-Me-Val N-methylvaline -- STXs saxitoxins -- Trp tryptophan; Pollution -- Periodicals; Pollution -- Physiological effect -- Periodicals; Environmental sciences -- Periodicals; Atmospheric chemistry -- Periodicals; 551.511
• DOI: 10.1016/j.chemosphere.2019.02.201
• Languages: English
• ISSNs: 0045-6535

Abstract

Abstract: Fast Detection Strategy for Cyanobacterial blooms and associated Cyanotoxins (FDSCC) is a multidisciplinary strategy that allows early detection, in 24 man-hours, of cyanobacteria and related cyanotoxins in water and bivalve samples. This approach combines the advantages of remote/proximal sensing with those of analytical/bioinformatics analyses, namely, LC-HRMS-based molecular networking. The detection of Lyngbyatoxin A, a lipophilic cyanotoxin, in all analyzed water samples and in bivalves, commonly used as food, was the proof of the reliability of the new method. Graphical abstract: Image 1 Highlights: FDSCC carried out for fast (24 man-hours) detection of cyanobacteria and cyanotoxins. Satellite monitoring and chlorophyll-a mapping for the definition of the sampling spots. LC-MS/MS data analyzed using a bioinformatics tool (molecular networking). Lyngbyatoxin A presence in environmental samples collected along Campania coasts (Italy). Lyngbyatoxin A from Pseudanabaena catenata, Leptolyngbya sp., and Chroococcus.