PuSH - Publikationsserver des Helmholtz Zentrums München: Method for dead time determination in reversed-phase capillary electrochromatography with methacrylate-based stationary phases.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

EVA: Veröffentlichen

Neuer EVA Antrag

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Ping, G.* ; Zhang, W.* ; Zhang, L.* ; Zhang, Li.* ; Shan, Y.`* ; Zhang, Y.* ; Schmitt-Kopplin, P. ; Kettrup, A.

Method for dead time determination in reversed-phase capillary electrochromatography with methacrylate-based stationary phases.

Chromatographia 58, 803-806 (2003)

DOI

Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.

Abstract
Metriken
Zusatzinfos

A method for dead time determination in reversed-phase capillary electrochromatography (RP-CEC) with methacrylate-based monolithic stationary phases has been presented based on homologue series method. The dead times measured with homologue series method and thiourea, a commonly used electroosmotic flow (EOF) marker are compared under various conditions, such as the type and the concentration of organic modifier, ionic strength, and applied voltage. Results show that the former one is larger than the latter one. Under high ionic strength and low applied voltage, EOF velocity measured by thiourea is close to that determined by homologue series method.

Impact Factor

Scopus SNIP

Web of Science
Times Cited

Altmetric

1.230

0.000