Sulfadimethoxine-d6 is an isotopically labeled compound of sulfonamide antibiotics. It is typically utilized as an analytical standard in chromatographic determinations.[1]
Application
Refer to the product′s Certificate of Analysis for more information on a suitable instrument technique. Contact Technical Service for further support.
Sulfadoxine-d6 may be used as an analytical standard for the determination of various sulfonamides in:
Wastewater samples by ultra-performance liquid chromatography-triple quadrupole-linear ion trap mass spectrometer (UPLC-QqLit-MS).[1]
Fish samples[2] as well as soil, sludge and manure samples[3] by LC with tandem mass spectrometry (MS/MS).
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Simultaneous extraction of four classes of antibiotics in soil, manure and sewage sludge and analysis by liquid chromatography-tandem mass spectrometry with the isotope-labelled internal standard method.
Huang Y, et al.
Analytical Methods : Advancing Methods and Applications, 5(15), 3721-3731 (2013)
Multiresidue antimicrobial determination in Nile tilapia (Oreochromis Niloticus) cage farming by liquid chromatography tandem mass spectrometry.
Journal of food science, 85(3), 736-743 (2020-02-06)
By utilizing the coffee-ring effect and microfluidic paper-based analytical devices (µPADs), this study improved the sensitivity of the determination of norfloxacin in four different food matrices. Micro-PADs in this study were fabricated by designing and embedding wax channels onto cellulose-based
Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes, 51(12), 817-823 (2016-08-06)
The aim of this study was to investigate the relationship between antibiotic residues found in the muscle of cage-farm-raised Nile tilapia (Oreochromisniloticus), the occurrence of resistant bacteria, and the sanitary practices adopted by farmers in Ilha Solteira reservoir, Brazil. Nine
Liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technology in metabolomics. In particular, label-free quantification based on LC-MS is easily amenable to large-scale studies and thus well suited to clinical metabolomics. Large-scale studies, however, require automated processing
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