Ion chromatography (IC) is an indispensable technique for the determination of trace concentrations of ionic impurities found in power plant waters. Dionex AN185 describes an automated RFIC method for the determination of trace anions in borated waters. This work updates AN185 with a Dionex IonPac AS28-Fast-4μm column for improved peak efficiencies and resolution, the IC instrument, and consumables. The calibration ranges, detection limits, precision, and accuracy of this method for determining trace anionic impurities in borated samples are described.
This work describes the use of Dionex IonPac AS28-Fast-4μm column that was designed specifically for the trace analysis of inorganic anions and monovalent organic acids. Improved peak efficiencies in combination with the smaller column inner diameter result in lower detection limits compared to the Dionex IonPac AS15-5μm column. The analytes are detected by suppressed conductivity with a Dionex ADRS™ 600 suppressor. This application note expands on work presented in Application Update 142, “Improved determination of trace anions in high purity waters by high-volume direct injection
Separation and quantification of ingredients and degradation products in coolants using IC-CD
This work uses IC with suppressed conductivity and mass spectrometry detection for organic acid determinations. This dual detection approach increases the information available from the sample. Samples were separated with a high-resolution Thermo Scientific™ Dionex™ IonPac™ AS11-HC-4μm column set using a Thermo Scientific™ Dionex™ Integrion™ HPIC™ system with suppressed conductivity detection, and an ISQ EC MS. Co-eluting organic acids can be accurately quantified with mass spectrometric detection, eliminating the need for the addition of methanol to the hydroxide eluent to enhance separation.
A platform using Dionex ion chromatography (IC) coupled to triple quadrupole mass spectrometry (MS) was developed to measure various metabolites in Brassica napus seeds. The IC tandem mass spectrometry (IC-MS/MS) technique provides a good tool to identify and quantify metabolites in a complex matrix.