% 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{Tappe:62405,
author = {Tappe, W. and Zarfl, C. and Kummer, S. and Burauel, P. and
Vereecken, H. and Groeneweg, J.},
title = {{G}rowth-inhibitory effects of sulfonamides at different
p{H}: {D}issimilar susceptibility patterns of a soil
bacterium and a test bacterium used for antibiotic assays},
journal = {Chemosphere},
volume = {72},
issn = {0045-6535},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {PreJuSER-62405},
pages = {836 - 843},
year = {2008},
note = {Record converted from VDB: 12.11.2012},
abstract = {The ionic speciation of sulfonamides is pH-driven and this
may be crucial for their bioavailability and sorption to
soil constituents, as well as for their uptake into
bacterial cells. The inhibition behaviour of a bacterial
test strain (Pseudomonas aeruginosa; DSM 1117), which was
grown in the presence of different concentrations of 8
sulfonamides at pH values from 5 to 8, could be predicted by
models that take the speciation of sulfonamides in- and
outside of bacterial cells into account. Assuming a pH of
7.5 inside the cells (pH homeostasis), the strongest
inhibition was predicted for the lowest external pH and for
sulfonamides with the lowest pK(a) values. Growth
experiments with Ps. aeruginosa basically reflected this
predicted behaviour. However, Pantoea agglomerans -- a
bacterial strain isolated from arable soil -- behaved
surprisingly different regarding its pH dependency: all
sulfonamides showed the strongest effects at pH 7 to 8
instead of being most effective at lowest pH, although the
pK(a) dependencies followed the same pattern. Experimental
and modeling results could be brought into good agreement
for P. agglomerans if the cell-internal pH was admitted to
approximate the external pH instead of implying pH
homeostasis for modeling calculations. Thus, besides the
actual concentration of sulfonamides, the pH dependent mode
of reaction of different bacteria to sulfonamides may
additionally govern the population dynamics in soils.},
keywords = {Anti-Bacterial Agents: analysis / Anti-Bacterial Agents:
metabolism / Anti-Bacterial Agents: toxicity / Bacteria:
chemistry / Bacteria: drug effects / Bacteria: metabolism /
Biological Assay / Culture Media / Data Interpretation,
Statistical / Homeostasis / Hydrogen-Ion Concentration /
Models, Statistical / Pantoea: chemistry / Pantoea: drug
effects / Pantoea: metabolism / Pseudomonas aeruginosa:
chemistry / Pseudomonas aeruginosa: drug effects /
Pseudomonas aeruginosa: metabolism / Soil Microbiology /
Sulfonamides: analysis / Sulfonamides: metabolism /
Sulfonamides: toxicity / Anti-Bacterial Agents (NLM
Chemicals) / Culture Media (NLM Chemicals) / Sulfonamides
(NLM Chemicals) / J (WoSType)},
cin = {ICG-4 / JARA-SIM},
ddc = {333.7},
cid = {I:(DE-Juel1)VDB793 / I:(DE-Juel1)VDB1045},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Environmental Sciences},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:18396316},
UT = {WOS:000257223700021},
doi = {10.1016/j.chemosphere.2008.02.041},
url = {https://juser.fz-juelich.de/record/62405},
}