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DTSTAMP:20240516T165719Z
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DTSTART;TZID=America/Chicago:20240514T161000
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UID:IOSC_IOSC 2024_sess140_PAPER238@linklings.com
SUMMARY:Generating data for oil spill models: Applications of passive dosi
 ng of polycyclic aromatic compounds with marine microalgae
DESCRIPTION:Paper\n\nDanielle Philibert and Benjamin de Jourdan (Huntsman 
 Marine Science Centre)\n\nMathematical models predicting the toxicity of i
 ndividual polycyclic aromatic compounds (PAC) play a pivotal role in provi
 ding stakeholders with essential insights for anticipating effects, assess
 ing damage, and prioritizing vulnerable habitats in the event of an oil sp
 ill. Despite their importance, toxicity tests with PACs pose challenges, p
 rimarily due to compound loss through adsorption and volatilization during
  exposure. Passive dosing techniques emerge as a valuable solution for dos
 ing exposure media and maintaining consistent exposure concentrations thro
 ughout the test duration. In this study, we investigated the toxicity of s
 ix selected PACs (9-fluorenone, 1-methylnaphthalene, dibenzothiophene, phe
 nanthrene, pyrene, and fluoranthene) to the model marine flagellate Dunali
 ella tertiolecta (DT). DT, chosen for its ease of cultivation and wide tem
 perature tolerance, proved ideal for temperature toxicity studies. Exposur
 es were conducted at 15, 20, and 30°C to explore the influence of temperat
 ure on PAC-induced algal growth inhibition. Additionally, we assessed the 
 impact of photomodification on algae growth by subjecting passively dosed 
 dibenzothiophene, pyrene, 1-methylnaphthalene, and fluoranthene test solut
 ions to UV light. The study revealed that growth inhibition occurred selec
 tively with certain PACs, and warmer temperatures intensified the inhibito
 ry effects of methylnaphthalene. EC50 values derived from the experiments 
 were utilized to compute species- and temperature-specific critical target
  lipid body burdens (CTLBBs) for DT, a species not previously considered i
 n the target lipid model (TLM) acute toxicity database. Surprisingly, phot
 omodification of single PACs had no discernible effect on the observed tox
 icity of the three tested compounds. The data generated in this study cont
 ributes to refining oil spill models and enables comparisons of the sensit
 ivity of different algal species to compounds recognized as primary contri
 butors to crude oil toxicity. This research enhances our understanding of 
 PAC toxicity dynamics and provides valuable insights for improving environ
 mental risk assessments associated with oil spills.\n\nTag: Preparedness\n
 \nSession Chair: Richard Johnson (ITOPF)
URL:https://iosc2024.conference-program.com/presentation/?id=PAPER238&sess
 =sess140
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