Arsenolipids—the underestimated threat in marine food sources?

J. F. Kopp, Z. Gajdosechova, A. Raab, E. Krupp, J. Feldmann

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

Abstract

The term arsenolipids describes a class of arsenic species that are not water-, but lipid-soluble. So far, there are 4 subcategories known: Arsenohydrocarbons (AsHC), Arseno Fatty Acids (AsFA), Trimethylarsino Fatty Alcohols (TMAsFOH), and Arsenosugar Phospholipids (AsPL). They have been found mainly in the marine environment (algae, various fish), but recent studies show their accumulation in land-based organisms after ingestion as well. Due to the lack of pure compounds, their toxicological potential was unclear until the synthesis was published (Taleshi et al., 2014) which made cytotoxicological studies possible. These studies quickly showed, that they are able to exert a similar cytotoxicity as inorganic As (Meyer et al., 2014). A study on Globicephala melas (long-finned pilot whale) regarding accumulation and metabolism of these compounds is being conducted in order to be able to assess the threat arsenolipids pose to humans and the environment.

Original languageEnglish
Title of host publicationArsenic Research and Global Sustainability
Subtitle of host publicationProceedings of the 6th International Congress on Arsenic in the Environment, AS 2016
EditorsProsun Bhattacharya, Marie Vahter, Jerker Jarsjö, Jurate Kumpiene, Arslan Ahmad, Charlotte Sparrenbom, Gunnar Jacks, Marinus Eric Donselaar, Jochen Bundschuh, Ravi Naidu
PublisherCRC Press/Balkema
Pages308-309
Number of pages2
ISBN (Electronic)9781315629438
ISBN (Print)9781138029415
DOIs
Publication statusPublished - 2016
Event6th International Congress on Arsenic in the Environment, AS 2016 - Stockholm, Sweden
Duration: 19 Jun 201623 Jun 2016

Conference

Conference6th International Congress on Arsenic in the Environment, AS 2016
Country/TerritorySweden
CityStockholm
Period19/06/1623/06/16

Bibliographical note

The authors would like to thank the School of Natural and Computing Sciences at University of Aberdeen for funding. Further acknowledgement goes to the entire group of Prof. Kevin Francesconi at the Karl-Franzens-University in Graz for very fruitful discussions and student-exchanges

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