Skip to main content
Log in

Determination of Peptides by High Performance Liquid Chromatography with Coulometric Detection Following the Biuret Reaction

  • Original Papers
  • Published:
Analytical Sciences Aims and scope Submit manuscript

Abstract

An ultramicro method is described for the determination of peptides by high performance liquid chromatography with coulometric detection. The method is based on the formation of electrochenucally oxidizable copper(I) ion by reaction of peptides with copper(II) ion in an alkaline medium containing ammonia in postcolumn reaction. Di- and tripeptides used as model compounds (6 species) are separated on a reversed phase column. The detection limit was 200 pg for glycylglycylglycine. Prolylglycine was detected, but not glycylproline, which has no amide-bond in the molecule.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. M. Hermodson and W. C. Mahoney, Methods in Emymology, 91, 352 (1983).

    Article  CAS  Google Scholar 

  2. D. Aromatorio, K. Debra, J. Parker and W. E. Brown, Methods in Enzymohgy, 91, 384 (1983).

    Article  CAS  Google Scholar 

  3. K. Stulik, V. Pacakova and G. Jokuszies, J. Chromatogr., 436, 334 (1988).

    Article  CAS  Google Scholar 

  4. O. H. Lowry, N. J. Rosebrough, A. L. Farr and R. J. Randall, J. Biol. Chem., 193, 265 (1951).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kubo, H., Huang, Y. & Kinoshita, T. Determination of Peptides by High Performance Liquid Chromatography with Coulometric Detection Following the Biuret Reaction. ANAL. SCI. 6, 265–267 (1990). https://doi.org/10.2116/analsci.6.265

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.2116/analsci.6.265

Keywords

Navigation