JOURNAL ARTICLE
Elemental concentrations in green vegetables from the perspective of urolithiasis risk.
Published In: International Journal of PIXE, 2023, v. 31, n. 1/4. P. 51 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sera, K.; Goto, S.; Hosokawa, T.; Saitoh, Y.; Terakawa, A.; Ishii, K. 3 of 3
Abstract
Although green vegetables are valuable sources of essential elements, and are safe in that they lack harmful elements, they are high in oxalic acid, increasing the risk of urolithiasis. We performed elemental analyses on spinach (Spinacia oleracea L), Malabar nightshade (Basella alba), and water Morning Glory (Ipomoea aquatica), which contain large amounts of oxalic acid, and compared the data to those of Japanese mustard spinach (Brassica rapa var. perviridis), which is the second most commonly consumed green vegetable (after spinach) in Japan. We focused on concentrations of Ca, Mg, and Sr that suppress the formation of ureteral stones (calculi). The calcium concentration in spinach was 6 , 8 8 3 ± 3 6 7 μ g/g in leaves and 2 , 1 9 0 ± 1 5 9. 2 μ g/g in stalks, and the level in Japanese mustard spinach were 1 6 , 3 6 0 ± 9 5 7 μ g/g in leaves and 2 0 , 1 2 0 ± 1 , 2 2 6 μ g/g in stalks. The overall Sr concentration in Japanese mustard spinach was thus 10-fold higher than in spinach, but the Mg concentration was lower than that in spinach. The concentrations of Ca and Sr in Malabar nightshade and water Morning Glory were 3- to 5-fold higher than in spinach. As the former vegetables are consumed much less often than spinach, the risk of urolithiasis is low. We explored how the concentrations of these elements changed after boiling. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of PIXE. 2023/12, Vol. 31, Issue 1/4, p51
- Document Type:Article
- Subject Area:Nutrition and Dietetics
- Publication Date:2023
- ISSN:0129-0835
- DOI:10.1142/S0129083523500055
- Accession Number:174066607
- Copyright Statement:Copyright of International Journal of PIXE is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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