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      Determination of total arsenic and hydrophilic arsenic species in seafood

      , , ,
      Journal of Food Composition and Analysis
      Elsevier BV

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          Is Open Access

          Algae as nutritional and functional food sources: revisiting our understanding

          Global demand for macroalgal and microalgal foods is growing, and algae are increasingly being consumed for functional benefits beyond the traditional considerations of nutrition and health. There is substantial evidence for the health benefits of algal-derived food products, but there remain considerable challenges in quantifying these benefits, as well as possible adverse effects. First, there is a limited understanding of nutritional composition across algal species, geographical regions, and seasons, all of which can substantially affect their dietary value. The second issue is quantifying which fractions of algal foods are bioavailable to humans, and which factors influence how food constituents are released, ranging from food preparation through genetic differentiation in the gut microbiome. Third is understanding how algal nutritional and functional constituents interact in human metabolism. Superimposed considerations are the effects of harvesting, storage, and food processing techniques that can dramatically influence the potential nutritive value of algal-derived foods. We highlight this rapidly advancing area of algal science with a particular focus on the key research required to assess better the health benefits of an alga or algal product. There are rich opportunities for phycologists in this emerging field, requiring exciting new experimental and collaborative approaches. Electronic supplementary material The online version of this article (doi:10.1007/s10811-016-0974-5) contains supplementary material, which is available to authorized users.
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            Scientific Opinion on Arsenic in Food

            (2009)
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              Is Open Access

              Human exposure to organic arsenic species from seafood.

              Seafood, including finfish, shellfish, and seaweed, is the largest contributor to arsenic (As) exposure in many human populations. In contrast to the predominance of inorganic As in water and many terrestrial foods, As in marine-derived foods is present primarily in the form of organic compounds. To date, human exposure and toxicological assessments have focused on inorganic As, while organic As has generally been considered to be non-toxic. However, the high concentrations of organic As in seafood, as well as the often complex As speciation, can lead to complications in assessing As exposure from diet. In this report, we evaluate the presence and distribution of organic As species in seafood, and combined with consumption data, address the current capabilities and needs for determining human exposure to these compounds. The analytical approaches and shortcomings for assessing these compounds are reviewed, with a focus on the best practices for characterization and quantitation. Metabolic pathways and toxicology of two important classes of organic arsenicals, arsenolipids and arsenosugars, are examined, as well as individual variability in absorption of these compounds. Although determining health outcomes or assessing a need for regulatory policies for organic As exposure is premature, the extensive consumption of seafood globally, along with the preliminary toxicological profiles of these compounds and their confounding effect on assessing exposure to inorganic As, suggests further investigations and process-level studies on organic As are needed to fill the current gaps in knowledge.
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                Author and article information

                Contributors
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                Journal
                Journal of Food Composition and Analysis
                Journal of Food Composition and Analysis
                Elsevier BV
                08891575
                March 2021
                March 2021
                : 96
                : 103729
                Article
                10.1016/j.jfca.2020.103729
                0a71d803-2431-49b2-833d-86f0b98d049f
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

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