HPLC MS Method for Analysis of Procainamide on Primesep 200 Column

HPLC MS Method for Analysis of Procainamide on Primesep 200 Column

Separation type: Liquid Chromatography Mixed-mode SIELC Technologies

HPLC Method for Analysis of Procainamide on Primesep 200 Column by SIELC Technologies


 High Performance Liquid Chromatography (HPLC) Method for Analysis of Procainamide

Procainamide is a medication that belongs to the class of antiarrhythmic drugs. It is used to treat certain types of irregular heartbeats (arrhythmias), particularly those associated with atrial and ventricular fibrillation or atrial flutter. Procainamide works by stabilizing the heart’s electrical activity and helping to restore a normal rhythm.

Procainamide blocks sodium channels in the heart, which helps to slow down the conduction of electrical impulses. By doing so, it can prevent abnormal electrical activity in the heart.

Procainamide can be retained and analyzed using a Primesep 200 mixed-mode stationary phase column. The analysis employs an isocratic method with a simple mobile phase comprising water, acetonitrile (MeCN), and ammonium formate as a buffer. This method allows for detection using UV at 280 nm

ColumnPrimesep 200, 2.1 x 100 mm, 5 µm, 100 A
Mobile PhaseGradient MeCN 30-60%, 10 min
BufferAmFm pH 3.0  – 10 mM
Flow Rate0.2 ml/min
DetectionUV 280nm, SIM + 236
Samples0.15mg/ml
Injection volume5 µl
LOD*30 ppb
* LOD was determined for this combination of instrument, method, and analyte, and it can vary from one laboratory to another even when the same general type of analysis is being performed.

Class of Compounds
Antiarrhythmic agent, Amide
Analyzing CompoundsProcainamide

Application Column

Primesep 200

Column Diameter: 2.1 mm
Column Length: 100 mm
Particle Size: 5 µm
Pore Size: 100 A

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Application Analytes:
Procainamide
Application Detection:
UV Detection
LC MS Detection
SIELC Technologies usually develops more than one method for each compound. Therefore, this particular method may not be the best available method from our portfolio for your specific application. Before you decide to implement this method in your research, please send us an email to research@sielc.com so we can ensure you get optimal results for your compound/s of interest.