Literature DB >> 12830352

Benefits of high resolution IC-ICP-MS for the routine analysis of inorganic and organic arsenic species in food products of marine and terrestrial origin.

Ute Kohlmeyer1, Eckard Jantzen, Jürgen Kuballa, Sandra Jakubik.   

Abstract

A recently developed and validated method for simultaneous determination of 17 inorganic and organic arsenic compounds in marine biota has been successfully applied to routine analysis of different food products, including fish, shellfish, edible algae, rice, and other types of grain. During one year, approximately 250 food samples were analyzed, mostly fish and rice. Long-term stability and robustness of the system was observed and reproducible results for certified reference materials were ensured by means of control charts. The separation was performed by ion-pair chromatography on an anion-exchange column to separate anionic, neutral, and cationic arsenic species in one chromatographic run. Hyphenation to ICP-MS allowed element-specific and sensitive detection of the different arsenic species with a detection limit as low as 8 ng As L(-1 )in the sample extract, which is equivalent to 2 ng As g(-1) in the original sample. Special emphasis was laid on the analysis of marine algae and rice samples. These food types can contain elevated levels of the very toxic inorganic arsenic species (up to 90% in rice) and therefore are the focus of interest in the food industry. In marine algae, inorganic arsenic was mainly present as arsenate whereas in rice arsenite predominated.

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Year:  2003        PMID: 12830352     DOI: 10.1007/s00216-003-2064-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  7 in total

1.  Synthesis and characterization of magnetic bio-adsorbent developed from Aegle marmelos leaves for removal of As(V) from aqueous solutions.

Authors:  Uttam Kumar Sahu; Sumanta Sahu; Siba Sankar Mahapatra; Raj Kishore Patel
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-12       Impact factor: 4.223

Review 2.  A review of recent developments in the speciation and location of arsenic and selenium in rice grain.

Authors:  Anne-Marie Carey; Enzo Lombi; Erica Donner; Martin D de Jonge; Tracy Punshon; Brian P Jackson; Mary Lou Guerinot; Adam H Price; Andrew A Meharg
Journal:  Anal Bioanal Chem       Date:  2011-12-08       Impact factor: 4.142

Review 3.  Analytical Methodologies for the Determination of Organoarsenicals in Edible Marine Species: A Review.

Authors:  Caleb Luvonga; Catherine A Rimmer; Lee L Yu; Sang Bok Lee
Journal:  J Agric Food Chem       Date:  2020-02-07       Impact factor: 5.279

4.  Exploring the associations between microRNA expression profiles and environmental pollutants in human placenta from the National Children's Study (NCS).

Authors:  Qian Li; Maya A Kappil; An Li; Priyanthi S Dassanayake; Thomas H Darrah; Alan E Friedman; Michelle Friedman; Luca Lambertini; Philip Landrigan; Christopher J Stodgell; Yulin Xia; Jessica A Nanes; Kjersti M Aagaard; Eric E Schadt; Jeff C Murray; Edward B Clark; Nancy Dole; Jennifer Culhane; James Swanson; Michael Varner; Jack Moye; Carol Kasten; Richard K Miller; Jia Chen
Journal:  Epigenetics       Date:  2015-08-07       Impact factor: 4.528

5.  In vivo assessment of arsenic bioavailability in rice and its significance for human health risk assessment.

Authors:  Albert L Juhasz; Euan Smith; John Weber; Matthew Rees; Allan Rofe; Tim Kuchel; Lloyd Sansom; Ravi Naidu
Journal:  Environ Health Perspect       Date:  2006-12       Impact factor: 9.031

Review 6.  A review of the pharmaceutical exposome in aquatic fauna.

Authors:  Thomas H Miller; Nicolas R Bury; Stewart F Owen; James I MacRae; Leon P Barron
Journal:  Environ Pollut       Date:  2018-04-10       Impact factor: 8.071

7.  Shifting the Specificity of E. coli Biosensor from Inorganic Arsenic to Phenylarsine Oxide through Genetic Engineering.

Authors:  Hyojin Kim; Yangwon Jeon; Woonwoo Lee; Geupil Jang; Youngdae Yoon
Journal:  Sensors (Basel)       Date:  2020-05-30       Impact factor: 3.576

  7 in total

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