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@ARTICLE{Sentek:878663,
author = {Sentek, Valerie and Braun, Gianna and Braun, Melanie and
Sebesvari, Zita and Renaud, Fabrice G. and Herbst, Michael
and Frindte, Katharina and Amelung, Wulf},
title = {{S}alinity-independent dissipation of antibiotics from
flooded tropical soil: a microcosm study},
journal = {Scientific reports},
volume = {10},
number = {1},
issn = {2045-2322},
address = {[London]},
publisher = {Macmillan Publishers Limited, part of Springer Nature},
reportid = {FZJ-2020-02984},
pages = {14088},
year = {2020},
abstract = {River deltas are frequently facing salinity intrusion, thus
challenging agricultural production in these areas. One
adaption strategy to increasing salinity is shrimp
production, which however, heavily relies on antibiotic
usage. This study was performed to evaluate the effect of
increasing salinity on the dissipation rates of antibiotics
in tropical flooded soil systems. For this purpose, paddy
top soil from a coastal Vietnamese delta was spiked with
selected frequently used antibiotics (sulfadiazine,
sulfamethazine, sulfamethoxazole, trimethoprim) and
incubated with flood water of different salt concentrations
(0, 10, 20 g L−1). Antibiotic concentrations were
monitored in water and soil phases over a period of 112 days
using liquid chromatography and tandem mass spectrometry. We
found that sulfamethazine was the most persistent antibiotic
in the flooded soil system (DT50 = 77 days), followed by
sulfadiazine (DT50 = 53 days), trimethoprim
(DT50 = 3 days) and sulfamethoxazole (DT50 = 1
days). With the exception of sulfamethoxazole, the apparent
distribution coefficient increased significantly
(p < 0.05) for all antibiotics in course of the
incubation, which indicates an accumulation of antibiotics
in soil. On a whole system basis, including soil and water
into the assessment, there was no overall salinity effect on
the dissipation rates of antibiotics, suggesting that common
e-fate models remain valid under varying salinity.},
cin = {IBG-3},
ddc = {600},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32839521},
UT = {WOS:000568833100004},
doi = {10.1038/s41598-020-70943-w},
url = {https://juser.fz-juelich.de/record/878663},
}