HPAEC-PAD for oligosaccharide analysis—novel insights into analyte sensitivity and response stability


The rising importance of accurately detecting oligosaccharides in biomass hydrolyzates or as ingredients in food, such as in beverages and infant milk products, demands for the availability of tools to sensitively analyze the broad range of available oligosaccharides. Over the last decades, HPAEC-PAD has been developed into one of the major technologies for this task and represents a popular alternative to state-of-the-art LC-MS oligosaccharide analysis. This work presents the first comprehensive study which gives an overview of the separation of 38 analytes as well as enzymatic hydrolyzates of six different polysaccharides focusing on oligosaccharides. The high sensitivity of the PAD comes at cost of its stability due to recession of the gold electrode. By an in-depth analysis of the sensitivity drop over time for 35 analytes, including xylo- (XOS), arabinoxylo- (AXOS), laminari- (LOS), manno- (MOS), glucomanno- (GMOS), and cellooligosaccharides (COS), we developed an analyte-specific one-phase decay model for this effect over time. Using this model resulted in significantly improved data normalization when using an internal standard. Our results thereby allow a quantification approach which takes the inevitable and analyte-specific PAD response drop into account.

HPAEC-PAD analysis of oligosaccharides and determination of PAD response drop leading to an improved data normalization

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Financial support from the European Commission (Collaborative FP7-KBBE Project Valor Plus, contract No. 613802) and the German Federal Ministry of Education and Research (grant number FKZ: 031A556) is gratefully acknowledged.

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Correspondence to Petra Kornberger.

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Mechelke, M., Herlet, J., Benz, J.P. et al. HPAEC-PAD for oligosaccharide analysis—novel insights into analyte sensitivity and response stability. Anal Bioanal Chem 409, 7169–7181 (2017). https://doi.org/10.1007/s00216-017-0678-y

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  • Oligosaccharide analysis
  • XOS
  • AXOS
  • PAD response factor
  • Data normalization