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1.
Curr Microbiol ; 78(7): 2615-2622, 2021 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-33988742

RESUMO

Two aerobic endospore-forming bacteria (AEFB), isolates SAB19 and SAD18, capable of biosurfactant production were isolated from a sediment core sampled from Mfabeni peatland, St Lucia, KwaZulu-Natal, South Africa. The isolates were screened for biosurfactant activity using drop collapse assay, hemolysis assay, oil spreading assay, emulsification, and surface tension measurement. The effect of environmental parameters--temperature [35 - 100 °C], pH [3.0 - 10.0], and salinity [0.5 - 15%]--on biosurfactant stability was also determined. Ultra-performance liquid chromatography in conjunction with electrospray ionization time-of-flight mass spectrometry (UPLC ESI-TOF MS) analysis revealed that both isolates produced surfactin isomers and a common mass peak of m/z 1326.1 that was ascribed to a precursor of the antibiotic plantazolicin (PZN). Isolate SAD18 was also found to produce the lipopeptides fengycin and iturin. Taxonomic classification based on partial 16S rRNA gene sequencing revealed that isolates SAB19 and SAD18 belonged to the Brevibacillus and Bacillus genera, respectively. The GenBank accession numbers obtained for SAB19 and SAD18 are MW429226 and MW441217. Biosurfactant extracts from isolate SAD18 exhibited the greatest level of surfactant activity and stability over the range of environmental parameters tested. Although no novel biosurfactants were identified, it was confirmed that the peatland environment represents an untapped source of microbial diversity with potential biotechnological applications.


Assuntos
Bactérias Formadoras de Endosporo , Tensoativos , Lipopeptídeos , RNA Ribossômico 16S/genética , África do Sul
2.
J Air Waste Manag Assoc ; 57(3): 268-78, 2007 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-17385592

RESUMO

The Savannah River National Laboratory (SRNL) Weather Information and Display System was used to provide meteorological and atmospheric modeling/consequence assessment support to state and local agencies after the collision of two Norfolk Southern freight trains on the morning of January 6, 2005. This collision resulted in the release of several toxic chemicals to the environment, including chlorine. The dense and highly toxic cloud of chlorine gas that formed in the vicinity of the accident was responsible for 9 fatalities and caused injuries to more than 500 others. Transport model results depicting the forecast path of the ongoing release were made available to emergency managers in the county's Unified Command Center shortly after SRNL received a request for assistance. Support continued over the ensuing 2 days of the active response. The SRNL also provided weather briefings and transport/consequence assessment model results to responders from the South Carolina Department of Health and Environmental Control, the Savannah River Site (SRS) Emergency Operations Center, Department of Energy headquarters, and hazard material teams dispatched from the SRS. Operational model-generated forecast winds used in consequence assessments conducted during the incident were provided at 2-km horizontal grid spacing during the accident response. High-resolution Regional Atmospheric Modeling System (RAMS, version 4.3.0) simulation was later performed to examine potential influences of local topography on plume migration in greater detail. The detailed RAMS simulation was used to determine meteorology using multiple grids with an innermost grid spacing of 125 m. Results from the two simulations are shown to generally agree with meteorological observations at the time; consequently, local topography did not significantly affect wind in the area. Use of a dense gas dispersion model to simulate localized plume behavior using the higher-resolution winds indicated agreement with fatalities in the immediate area and visible damage to vegetation.


Assuntos
Acidentes , Poluentes Atmosféricos/análise , Cloro/análise , Modelos Teóricos , Ferrovias , Simulação por Computador , Desastres , Substâncias Perigosas/análise , South Carolina , Vento
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