Seawater carbonate chemistry and chemical composition and functional properties of Ulva rigida, supplement to: Gao, Guang; Clare, Anthony S; Chatzidimitriou, Eleni; Rose, Craig; Caldwell, Gary S (2018): Effects of ocean warming and acidification, combined with nutrient enrichment, on chemical composition and functional properties of Ulva rigida. Food Chemistry, 258, 71-78

Ulva is increasingly viewed as a food source in the world. Here, Ulva rigida was cultured at two levels of temperature (14, 18°C), pH (7.95, 7.55, corresponding to low and high pCO2), and nitrate conditions (6 μmol L-1, 150 μmol L-1), to investigate the effects of ocean warming, acidification, and e...

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Bibliographic Details
Main Authors: Gao, Guang, Clare, Anthony S, Chatzidimitriou, Eleni, Rose, Craig, Caldwell, Gary S
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2018
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.892891
https://doi.pangaea.de/10.1594/PANGAEA.892891
Description
Summary:Ulva is increasingly viewed as a food source in the world. Here, Ulva rigida was cultured at two levels of temperature (14, 18°C), pH (7.95, 7.55, corresponding to low and high pCO2), and nitrate conditions (6 μmol L-1, 150 μmol L-1), to investigate the effects of ocean warming, acidification, and eutrophication on food quality of Ulva species. High temperature increased the content of each amino acid. High nitrate increased the content of all amino acid except aspartic acid and cysteine. High temperature, pCO2, and nitrate also increased content of most fatty acids. The combination of high temperature, pCO2, and nitrate increased the swelling capacity, water holding capacity, and oil holding capacity by 15.60%, 7.88%, and 16.32% respectively, compared to the control. It seems that future ocean environment would enhance the production of amino acid and fatty acid as well as the functional properties in Ulva species. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2016) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2018-08-06.