HPLC Method for Analysis of Kynurenic Acid on Primesep 100 Column

High Performance Liquid Chromatography (HPLC) Method for Analysis of Kynurenic Acid on Primesep 100 by SIELC Technologies

Separation type: Liquid Chromatography Mixed-mode SIELC Technologies

HPLC Method for Analysis of Kynurenic Acid on Primesep 100 Column


 High Performance Liquid Chromatography (HPLC) Method for Analysis of Kynurenic Acid

Kynurenic acid (KYNA) is a metabolite in the kynurenine pathway, which degrades the amino acid tryptophan. It acts as an antagonist to receptors in the brain, such as NMDA and alpha-7 nicotinic acetylcholine receptors, playing a dual role in the central nervous system. KYNA is neuroprotective by inhibiting excitatory neurotransmission and reducing oxidative stress, but elevated levels are linked to cognitive impairments and disorders like schizophrenia and depression.

Kynurenic Acid can be retained, separated and analyzed using a Primesep 100 mixed-mode stationary phase column. The analysis employs a gradient method with a simple mobile phase comprising water, acetonitrile (MeCN), and sulfuric acid as a buffer. This method allows for detection using UV 240 nm.

You can find detailed UV spectra of Kynurenic Acid and information about its various lambda maxima by visiting the following link.

ColumnPrimesep 100, 4.6 x 150 mm, 5 µm, 100 A
Mobile PhaseGradient MeCN from 5% to 50%
BufferGradient H2SO4 from 0.1% to 0.2%
Flow Rate1.0 ml/min
DetectionUV 240 nm
* 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
quinolinemonocarboxylic acid
Analyzing CompoundsKynurenic Acid

Application Column

Primesep 100

Column Diameter: 4.6 mm
Column Length: 150 mm
Particle Size: 5 µm
Pore Size: 100 A

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Application Analytes:
Kynurenic Acid
Application Detection:
UV 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.