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Automated Multi-dimensional Liquid Chromatography: Sample Preparation and Identification of Peptides from Human Blood Filtrate by Egidijus Machtejevas; Harald John; Knut Wagner; Ludger Ständker; György Marko-Varga; Wolf-Georg Forssmann; Rainer Bischoff; Klaus K. Unger is a Chemistry article available to read on EtoBox.

What is Automated Multi-dimensional Liquid Chromatography: Sample Preparation and Identification of Peptides from Human Blood Filtrate about?

A comprehensive on-line sample clean-up with an integrated two-dimensional HPLC system was developed for the analysis of natural peptides. Samples comprised of endogenous peptides with molecular weights up to 20 kDa were generated from human hemofiltrate (HF) obtained from patients with chronic renal failure. The (poly-)peptides were separated using novel silica-based restricted access materials with strong cation-exchange functionalities (SCX-RAM). The size-selective sample fractionation step is followed by cation-exchange chromatography as the first dimension. The subsequent second dimension of separation is based on hydrophobic interaction using four parallel short reversed-phase (RP) columns implemented via a fully automated column switching technique. More than 1000 peaks were resolved within the total analysis time of 96 min. Substances of selected peaks were sampled to analyse their molecular weights by off-line MALDI-TOF mass spectrometry and to determine their amino acid sequence by Edman degradation. The potential for comprehensive peptide mapping and identification is demonstrated.

Who reads Automated Multi-dimensional Liquid Chromatography: Sample Preparation and Identification of Peptides from Human Blood Filtrate?

It is typically read by researchers, students, and practitioners in Chemistry.

Author
Egidijus Machtejevas; Harald John; Knut Wagner; Ludger Ständker; György Marko-Varga; Wolf-Georg Forssmann; Rainer Bischoff; Klaus K. Unger
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 1873-376X)
Published
2004
Language
EN
Field
Chemistry (Physical Sciences)

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