Species distribution characteristics of arsenic in shellfish seafood collected from Fujian Province of China
• Six different arsenic species were detected in shellfish collected from Fujian, China. • Arsenic species in shellfish were dependent on both the species and sampling sites. • The 5-deoxy-5-dimethylarsinoyl-β-ribofuranose was first identified in shellfish.
Gespeichert in:
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Qiu, ZongQing [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
Arsenobetaine (PubChem CID: 47364) Dimethylarsinic acid (PubChem CID: 2513) Disodium arsenate (PubChem CID: 24500) 5-Deoxy-5-dimethylarsinoyl-β-ribofuranose (PubChem CID: 6426713) |
|---|
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9 |
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| Übergeordnetes Werk: |
Enthalten in: 2H-5,10,15,20-tetrakis( - Kuzmin, Sergey M. ELSEVIER, 2022, an international journal, Orlando, Fla |
|---|---|
| Übergeordnetes Werk: |
volume:72 ; year:2018 ; pages:132-140 ; extent:9 |
| Links: |
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| DOI / URN: |
10.1016/j.jfca.2018.07.002 |
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| 520 | |a • Six different arsenic species were detected in shellfish collected from Fujian, China. • Arsenic species in shellfish were dependent on both the species and sampling sites. • The 5-deoxy-5-dimethylarsinoyl-β-ribofuranose was first identified in shellfish. | ||
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| 700 | 1 | |a Rensing, Christopher |4 oth | |
| 700 | 1 | |a Fu, FengFu |4 oth | |
| 700 | 1 | |a Yang, GuiDi |4 oth | |
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10.1016/j.jfca.2018.07.002 doi GBV00000000000310_01.pica (DE-627)ELV044731825 (ELSEVIER)S0889-1575(18)30501-5 DE-627 ger DE-627 rakwb eng 540 620 VZ 35.27 bkl Qiu, ZongQing verfasserin aut Species distribution characteristics of arsenic in shellfish seafood collected from Fujian Province of China 2018 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Six different arsenic species were detected in shellfish collected from Fujian, China. • Arsenic species in shellfish were dependent on both the species and sampling sites. • The 5-deoxy-5-dimethylarsinoyl-β-ribofuranose was first identified in shellfish. Arsenobetaine (PubChem CID: 47364) Elsevier Dimethylarsinic acid (PubChem CID: 2513) Elsevier Disodium arsenate (PubChem CID: 24500) Elsevier 5-Deoxy-5-dimethylarsinoyl-β-ribofuranose (PubChem CID: 6426713) Elsevier Sodium arsenite (PubChem CID: 443495) Elsevier Lv, ZhenMao oth Wang, KaiTeng oth Lan, Yan oth Yang, XiaoJun oth Rensing, Christopher oth Fu, FengFu oth Yang, GuiDi oth Enthalten in Academic Press Kuzmin, Sergey M. ELSEVIER 2H-5,10,15,20-tetrakis( 2022 an international journal Orlando, Fla (DE-627)ELV008144826 volume:72 year:2018 pages:132-140 extent:9 https://doi.org/10.1016/j.jfca.2018.07.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.27 Elektrochemische Analyse VZ AR 72 2018 132-140 9 |
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species distribution characteristics of arsenic in shellfish seafood collected from fujian province of china |
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Species distribution characteristics of arsenic in shellfish seafood collected from Fujian Province of China |
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• Six different arsenic species were detected in shellfish collected from Fujian, China. • Arsenic species in shellfish were dependent on both the species and sampling sites. • The 5-deoxy-5-dimethylarsinoyl-β-ribofuranose was first identified in shellfish. |
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• Six different arsenic species were detected in shellfish collected from Fujian, China. • Arsenic species in shellfish were dependent on both the species and sampling sites. • The 5-deoxy-5-dimethylarsinoyl-β-ribofuranose was first identified in shellfish. |
| abstract_unstemmed |
• Six different arsenic species were detected in shellfish collected from Fujian, China. • Arsenic species in shellfish were dependent on both the species and sampling sites. • The 5-deoxy-5-dimethylarsinoyl-β-ribofuranose was first identified in shellfish. |
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GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
| title_short |
Species distribution characteristics of arsenic in shellfish seafood collected from Fujian Province of China |
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https://doi.org/10.1016/j.jfca.2018.07.002 |
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Lv, ZhenMao Wang, KaiTeng Lan, Yan Yang, XiaoJun Rensing, Christopher Fu, FengFu Yang, GuiDi |
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Lv, ZhenMao Wang, KaiTeng Lan, Yan Yang, XiaoJun Rensing, Christopher Fu, FengFu Yang, GuiDi |
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10.1016/j.jfca.2018.07.002 |
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2024-07-06T22:16:36.910Z |
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