% 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}, }