Assessing the aquatic toxicity of complex hydrocarbon mixtures using solid phase microextraction.

Assessing the ecotoxicity of hydrocarbon mixtures is complicated by the complex nature of these mixtures. Traditional analytical methods for characterizing hydrocarbon contamination are not good predictors of potential ecotoxicity because these methods fail to characterize the bioavailability of individual hydrocarbon components. Recent research indicates that hydrocarbons act by a common narcotic mode of action and that ecotoxicity occurs when the molar concentration in organism lipid exceeds a critical threshold. Since the ecotoxicity of narcotic mixtures appears to be additive, ecotoxicity thus depends upon the partitioning of individual hydrocarbons from the environment to lipids and the total molar sum of individual hydrocarbons in lipids. These insights have led previous investigators to advance the concept of 'biomimetic' extraction as a novel analytical tool for assessing narcosis-type or 'baseline'. Drawing from this earlier work, a simple method to quantify bioavailable petroleum hydrocarbons (BPHs) in hydrocarbon-contaminated aqueous and soil/sediment samples was developed. The proposed method combines the essential features of biomimetic extraction for simulating the bioconcentration process with the analytical advantages of solid phase microextraction (SPME). The procedure for determining BPH involves two steps. The sample is first equilibrated with a SPME fiber that serves as a surrogate for organism lipids. The total moles of hydrocarbons that partition to the SPME fiber is then quantified using GC/FID. The capability of this method to predict ecotoxicity was assessed by comparing BPH measurements for hydrocarbon contaminated aqueous samples to corresponding toxicity test results for rainbow trout. Results indicate that BPH analyses correlate to the observed acute toxicity. Consequently, BPH analyses offer a promising, cost-effective screening tool for predicting aquatic toxicity of complex hydrocarbon mixtures.