Screening of lipophilic marine toxins in shellfish and algae: Development of a library using liquid chromatography coupled to orbitrap mass spectrometry

Gerssen, Arjen; Mulder, Patrick P.J.; Boer, Jacob de

doi:10.1016/j.aca.2010.11.036

Cited by 93 publications

(69 citation statements)

References 18 publications

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“…For this purpose, Chlorine is used as disinfectant but new thing in this study is the specific dose is determined for three different samples of drinking water with no residue of chlorine left in treated water because it can cause cancer in humans. Contaminated canal water for drinking purpose needs dose 3mg/l of chlorine for complete disinfection without residue and 1.5 mg/l dose of chlorine is required for treating the drinking water of storage tanks without any toxicity causing by chlorine residue [8,9]. Hygiene information is very important for better utilization of safe water drinking.…”

Section: Discussionmentioning

confidence: 99%

Treatment of Drinking Water in Economical Cost Perspective

Badar¹,

Zia²,

Idrees³

et al. 2016

IJEAB

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Section: Discussionmentioning

confidence: 99%

Treatment of Drinking Water in Economical Cost Perspective

Badar¹,

Zia²,

Idrees³

et al. 2016

IJEAB

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“…Operating the software programme ToxID 2.1.2 (Thermo Fisher Scientific, San José, USA), the full-scan data of three culture extracts were efficiently screened. To this end, a ToxID database from Gerssen et al [15] was modified by adding new compounds and molecular formulas of 98 relevant toxins [24,[50][51][52][53][54][55][56][57][58][59][60][61][62], see Table S1 …”

Section: Algal Toxin Profilementioning

confidence: 99%

“…These unicellular organisms respond to favorable conditions in monospecific events to form dense concentrations of cells. Mollusks such as filter-feeding shellfish [15,16], gastropods [17], cephalopods [18] and fish [19] ingest phytoplankton from different sources and act as a vector to humans, causing different poisoning episodes. Phycotoxins do not only affect human health but are also responsible for massive die-offs of fish, marine mammals, birds and shellfish [20].…”

Section: Introductionmentioning

confidence: 99%

“…As far as we know, no studies have reported on the application of a validated method by HR-Orbitrap MS for these five groups of lipophilic marine toxins in algae. Finally, different microalgae strains were screened for the presence of multiple lipophilic marine intracellular toxins and metabolites using profiling software and a database adopted and updated from Gerssen et al (2011) [15].…”

Section: Introductionmentioning

confidence: 99%

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Quantification and profiling of lipophilic marine toxins in microalgae by UHPLC coupled to high-resolution orbitrap mass spectrometry

et al. 2015

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During the last decade, a significant increase in the occurrence of harmful algal blooms (HABs), linked to repetitive cases of shellfish contamination has become a public health concern and therefore, accurate methods to detect marine toxins in different matrices are required. In this study, we developed a method for profiling lipophilic marine microalgal toxins based on ultra-high-performance liquid chromatography coupled to high-resolution Orbitrap mass spectrometry (UHPLC-HR-Orbitrap MS). Extraction of selected toxins (okadaic acid (OA), dinophysistoxin-1 (DTX-1), pectenotoxin-2 (PTX-2), azaspiracid-1 (AZA-1), yessotoxin (YTX) and 13-desmethyl spirolide C (SPX-1)) was optimized using a Plackett-Burman design. Three key algal species, i.e., Prorocentrum lima, Protoceratium reticulatum and Alexandrium ostenfeldii were used to test the extraction efficiency of OA, YTXs and SPXs, respectively. Prorocentrum micans, fortified with certified reference solutions, was used for recovery studies. The quantitative and confirmatory performance of the method was evaluated according to CD 2002/657/EC. Limits of detection and quantification ranged between 0.006 and 0.050 ng mL(-1) and 0.018 to 0.227 ng mL(-1), respectively. The intra-laboratory reproducibility ranged from 6.8 to 11.7 %, repeatability from 6.41 to 11.5 % and mean corrected recoveries from 81.9 to 119.6 %. In addition, algae cultures were retrospectively screened for analogues and metabolites through a homemade database. Using the ToxID software programme, 18 toxin derivates were detected in the extract of three toxin producing microalgae species. In conclusion, the generic extraction and full-scan HRMS approach offers an excellent quantitative performance and simultaneously allows to profile analogues and metabolites of marine toxins in microalgae. Graphical Abstract Optimization of extraction, detection and quantification of lipophilic marine toxins in microalgae by UHPLC-HR Orbitrap MS.

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“…Initial capabilities are limited to targeted search capabilities in preprocessed metabolomics data. Metabolomics platforms for which analysis tools are provided are LCMS [28,29], GCMS and GCGCMS. Preprocessed data can be acquired using the MetAlign software and stored in MADMAX.…”

Section: Metabolomics Analysismentioning

confidence: 99%

MADMAX – Management and analysis database for multiple ~omics experiments

Lin

Kools²,

Groot³

et al. 2011

Journal of Integrative Bioinformatics

120

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SummaryThe rapid increase of ~omics datasets generated by microarray, mass spectrometry and next generation sequencing technologies requires an integrated platform that can combine results from different ~omics datasets to provide novel insights in the understanding of biological systems. MADMAX is designed to provide a solution for storage and analysis of complex ~omics datasets. In addition, analysis results (such as lists of genes) can be merged to reveal candidate genes supported by all datasets. The system constitutes an ISA-Tab compliant LIMS part, which is linked to the different analysis pipelines. A pilot study of different type of ~omics data in Brassica rapa demonstrates the possible use of MADMAX. The web-based user interface provides easy access to data and analysis tools on top of the database. IntroductionTo better understand how phenotypes emerge, increasingly series of ~omics technologies (genomics, transcriptomics, proteomics, metabolomics) rather than individual measurements are necessarily used within a single study. Such efforts boost the demands of both data storage and data analysis of different high-throughput approaches. However, in the past it was hardly possible to store metadata from different ~omics technologies in the same repository. To accommodate this demand the ISA-Tab [1] format was proposed to build up a common structured representation of the metadata of studies from a combination of technologies. This also triggered attempts to develop data processing tools tailored to the needs of biologists. Unfortunately most of these tools have high demands on hardware requirements, or contain non-intuitive command line-based interfaces.* To whom correspondence should be addressed: jack.leunissen@wur.nl Here we present MADMAX, a multi-purpose database for the management and analysis of data from multiple ~omics experiments. It includes an ISA-Tab compliant backend database and a series of analysis pipelines for transcriptomics, metabolomics and genomics datasets; these pipelines are connected to the database through webservices such that other pipelines can be easily integrated into the current system ( Figure 1 Through the web interface, the user can store a complete experiment with all fields required in ISA-Tab format, sufficient to allow for subsequent analysis or even repeating the experiment later. Another section on the website is the central access to different analysis pipelines. Both individual analysis results and combined gene lists can be retrieved in the system for download. Centrally stored experiments and analysis results can only be accessed by the creator by default and will be accessible for other users only if the creator desires to share the data. The system is on an automatic backup schedule.MADMAX can be reached at http://madmax2.bioinformatics.nl/ and is available upon request by sending an email to madmax.request@bioinformatics.nl. ImplementationMADMAX is built upon an Oracle relational database on a Linux server and a computational analysis engine for different...

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Screening of lipophilic marine toxins in shellfish and algae: Development of a library using liquid chromatography coupled to orbitrap mass spectrometry

Cited by 93 publications

References 18 publications

Treatment of Drinking Water in Economical Cost Perspective

Treatment of Drinking Water in Economical Cost Perspective

Quantification and profiling of lipophilic marine toxins in microalgae by UHPLC coupled to high-resolution orbitrap mass spectrometry

MADMAX – Management and analysis database for multiple ~omics experiments

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