% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Posch:20489,
author = {Posch, T.N. and Müller, A. and Schulz, W. and Pütz, M.
and Huhn, C.},
title = {{I}mplementation of a design of experiments to study the
influence of the background electrolyte on separation and
detection in non-aqueous capillary electrophoresis-mass
spectrometry},
journal = {Electrophoresis},
volume = {33},
issn = {0173-0835},
address = {Weinheim},
publisher = {Wiley-Blackwell},
reportid = {PreJuSER-20489},
pages = {583 - 598},
year = {2012},
note = {The help of Jorg Roscher is gratefully acknowledged. We
thank the Helmholtz Initiative and Networking Fund for
financial support.},
abstract = {Non-aqueous capillary electrophoresis (NACE) background
electrolytes are most often composed of a mixture of
methanol and acetonitrile (ACN) with soluble ammonium salts
added as electrolyte. In this study on NACE-MS, we used a
mixture of glacial acetic acid and ACN giving rise to an
acidic background electrolyte (BGE) with a very low
dielectric constant. Impressive changes in selectivity and
resolution were observed for structurally closely related
indole alkaloids including diastereomers upon addition of
ammonium formate as electrolyte and upon variation of the
solvent ratio. In order to obtain best separation and MS
detection conditions and to reveal the influence of the
parameters of the BGE on separation and detection and vice
versa of the MS parameters on separation, an optimization
strategy was employed using a design of experiments in a
central composite design with response surface methodology.
It was proven that at high electroosmotic flow conditions
capillary electrophoretic separations and thus optimization
can be realized without interference from the coupling to an
MS system. Several significantly interacting parameters were
revealed, which are not accessible with classical univariate
optimization approaches. With this optimization, alkaloid
mixtures from a plant extract of Mitragyna speciosa,
containing a large number of diastereomeric compounds were
successfully separated.},
keywords = {Acetic Acid: chemistry / Acetonitriles: chemistry /
Analysis of Variance / Electrolytes: chemistry /
Electrophoresis, Capillary: methods / Indole Alkaloids:
analysis / Indole Alkaloids: isolation $\&$ purification /
Mass Spectrometry: methods / Mitragyna: chemistry / Models,
Chemical / Plant Extracts: chemistry / Research Design /
Acetonitriles (NLM Chemicals) / Electrolytes (NLM Chemicals)
/ Indole Alkaloids (NLM Chemicals) / Plant Extracts (NLM
Chemicals) / Acetic Acid (NLM Chemicals) / acetonitrile (NLM
Chemicals) / J (WoSType)},
cin = {ZCH},
ddc = {570},
cid = {I:(DE-Juel1)ZCH-20090406},
pnm = {Techniken, Innovation und Gesellschaft (TIG)},
pid = {G:(DE-Juel1)FUEK506},
shelfmark = {Biochemical Research Methods / Chemistry, Analytical},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:22451051},
UT = {WOS:000302010700007},
doi = {10.1002/elps.201100381},
url = {https://juser.fz-juelich.de/record/20489},
}