33880
AOZ-d4
VETRANAL®, analytical standard
别名:
3-氨基-2-恶唑烷基酮-d4, 4,4,5,5-四氘-3-氨基-2-恶唑烷酮
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关于此项目
经验公式（希尔记法）:
C3H2D4N2O2
化学文摘社编号:
分子量:
106.12
NACRES:
NA.24
PubChem Substance ID:
UNSPSC Code:
41116107
MDL number:
InChI
1S/C3H6N2O2/c4-5-1-2-7-3(5)6/h1-2,4H2/i1D2,2D2
SMILES string
[2H]C1([2H])OC(=O)N(N)C1([2H])[2H]
InChI key
KYCJNIUHWNJNCT-LNLMKGTHSA-N
grade
analytical standard
product line
VETRANAL®
shelf life
limited shelf life, expiry date on the label
technique(s)
HPLC: suitable, gas chromatography (GC): suitable
application(s)
clinical testing
format
neat
mass shift
M+4
Quality Level
General description
它是一种同位素标记的AOZ（也称 3-氨基-2-恶唑啉酮）的溶液，是合成 硝基呋喃兽用抗生素― 呋喃唑酮的代谢产物。
Application
该分析标准品可用作以下应用中的内标物：
- 通过超高效液相色谱（UHPLC）和串联质谱（MS/MS）对120个鱼样品中的四种硝基呋喃代谢产物残留量进行多残留分析
- 在以固相微萃取（SPME）探针萃取后后通过液相色谱-串联质谱（LC-MS/MS）测定各种食品样品中的四种硝基呋喃代谢产物
- 通过UHPLC和高分辨率质谱（HRMS）同时评估硝基呋喃和氯霉素残留量
- 开发一种UHPLC-MS/MS方法用于评估生物样品中的硝基呋喃及其代谢产物
- 用于LC-MS/MS分析的氯霉素、氟洛芬和硝基呋喃代谢产物的液液萃取
- 通过液相色谱和串联质谱（LC-MS/MS）评估家禽肌肉和蛋中的硝基呋喃代谢产物
Other Notes
有关合适的仪器技术的更多信息，请参阅产品′的检验报告。想要获得更多支持，请联系技术服务部。
Legal Information
VETRANAL is a registered trademark of Merck KGaA, Darmstadt, Germany
signalword
Warning
hcodes
Hazard Classifications
Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3
target_organs
Respiratory system
存储类别
11 - Combustible Solids
wgk
WGK 3
ppe
dust mask type N95 (US), Eyeshields, Gloves
Determination of nitrofuran metabolites in poultry muscle and eggs by liquid chromatography-tandem mass spectrometry
Finzi KJ, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences, 824(1-2), 30-35 (2005)
Analysis of nitrofuran metabolic residues in salt by liquid chromatography--tandem mass spectrometry
Pereira S.A, et al.
Analytica Chimica Acta, 514(1), 9-13 (2004)
EunChae Ryu et al.
Environmental science and pollution research international, 28(6), 7551-7563 (2020-10-11)
A simplified method is described for reducing the analysis time of nitrofurans (NFs) and nitrofuran metabolites (NFMs) in the aquatic animals. Most existing HPLC-MS/MS methods are intended only for NFMs and are based on their fast metabolic transformations. We optimized
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