Evaluation of a rapid biosensor tool for measuring PAH availability in petroleum-impacted sediment

Abstract

Decades of research have shown that the concentration of freely dissolved PAH (C_free) in sediment correlates with PAH bioavailability and toxicity to aquatic organisms. Passive sampling techniques and models have been used for measuring and predicting C_free, respectively, but these techniques require weeks for analytical chemical measurements and data evaluation. This study evaluated the performance of a portable, field-deployable antibody-based PAH biosensor method that can provide measurements of PAH C_free within a matter of minutes using a small volume of mechanically-extracted sediment porewater. Four sediments with a wide range of PAHs (ΣPAH 2.4 to 307 mg/kg) derived from petroleum, creosote, and mixed urban sources, were analyzed via three methods: 1) bulk chemistry analysis; 2) ex situ sediment passive sampling; and 3) biosensor analysis of mechanically-extracted sediment porewater. Mean ΣPAH C_free determined by the biosensor for the four sediments (3.1 to 55 μg/L) were within a factor of 1.1 (on average) compared to values determined by the passive samplers (2.0 to 52 μg/L). All mean values differed by a factor of 3 or less. The biosensor was also useful in identifying sediments that are likely to be non-toxic to benthic invertebrates. In two of the four sediments, biosensor results of 20 and 55 μg/L exceeded a potential risk-based screening level of 10 μg/L, indicating toxicity could not be ruled out. PAH Toxic Units (ΣTU) measured in these two sediments using the passive sampler C_free results were also greater than the ΣTU threshold of 1 (6.7 and 5.8, respectively), confirming the conclusions reached with the biosensor. In contrast, the other two sediments were identified as non-toxic by both the biosensor (3.1 and 4.3 μg/L) and the passive sampler (ΣTUs of 0.34 and 0.039). These results indicate that the biosensor is a promising tool for rapid screening of sediments potentially-impacted with PAHs.

Capsule:

A rapid and field-deployable biosensor tool to measure freely dissolved PAHs (Cfree) in sediment was evaluated, and results indicated it is a promising approach to optimize future investigations.

1. Introduction

Decades of research has shown that measuring freely dissolved PAH (C_free) in sediment provides a more accurate predictor of bioavailability and toxicity to aquatic organisms compared to measurement of “total” concentrations of PAHs in bulk sediment (Kreitinger et al., 2007; Fernandez et al., 2009; McGrath et al., 2019). Passive sampling methods are considered the most accurate and sensitive methods to measure C_free and are increasingly being used as primary lines of evidence to support site-specific regulatory-driven decisions and to evaluate active sediment management (USEPA, 2012a; Ghosh et al., 2014; USEPA, 2017a; Kirtay et al., 2018; Fetters et al. 2019).

A recently developed, immunoassay-based “biosensor” method has shown promise as a rapid and portable approach for measuring PAHs in aqueous media, including mechanically-extracted sediment porewater (Spier et al., 2011; Li et al., 2016; Behera et al. 2018). This method detects PAHs using a highly specific monoclonal antibody (Li et al., 2016). Biosensor results are reported as a concentration of the sum of PAHs (ΣPAH) in an aqueous sample (i.e., μg ΣPAH/L). The biosensor has been shown to be more accurate, precise, and quantitative than competitive enzyme-linked immunosorbent assays (ELISA) such as PAH RISc® or RaPID-ELISA (Behera et al., 2018). The analysis can be performed with a small volume (e.g., 20 mL) of mechanically-extracted sediment porewater, enabling its use as a measurement approach for C_free ΣPAH in sediment. The biosensor can be operated in the field using a battery power source and can generate a result from a liquid sample in approximately 10 minutes (Spier et al., 2011), making it an attractive option for real-time data collection. Using this approach, Hartzell et al. (2018) found that the biosensor porewater results obtained from two sediments spiked with PAHs correlated well with sediment toxicity to the benthic amphipod Leptocheirus plumulosus in the 10-day chronic test (r² = 0.98), and that lethality was generally observed above a biosensor measurement of 10 μg/L. Additionally, biosensor-derived C_free ΣPAH LC₅₀ values (24 to 29 μg/L) were more precise (within a factor of 1.2) than LC₅₀ values derived using concentrations in bulk sediment (within a factor of 3.2); however, this is not surprising, as measurements of dose that incorporate availability (i.e., Cfree) are generally more precise and accurate predictors of toxicity than measurements of compounds in bulk sediment.

The biosensor method is optimized to detect 3- to 5-ring PAHs, and past studies indicate that biosensor ΣPAH results correlate with traditional gas chromatograph(GC)-based analyses of the sum of the 3- to 5-ring PAHs (ΣPAH_3–5) in aqueous samples (water, sediment porewater) containing spiked PAHs and PAHs derived from creosote and multiple industrial sources (Unger et al. 2010; Li et al., 2016; Hartzell et al., 2018). The antibody used in the biosensor analysis does have an affinity for 2-ring PAHs, albeit it is low relative to the 3- to 5- ring PAHs, and it is possible that 2-ring PAHs may contribute to the overall biosensor response signal if present in sufficiently high concentrations (Li et al., 2016). This hypothesis has not been tested, and the ability of the biosensor to respond to 2-ring PAHs is particularly relevant for the use of the biosensor with petroleum-impacted sediments. Unlike creosote and other pyrogenic sources of PAHs common in industrial waterways, petroleum PAH signatures are often enriched with 2-ring PAHs, particularly methylated naphthalenes (Neff et al., 2005). Thus, it is possible that the biosensor may underestimate C_free ΣPAH results in sediments impacted by petroleum.

The goal of this project was to evaluate the performance of the biosensor in detecting C_free PAHs in petroleum-impacted sediments. C_free ΣPAHs measured using the biosensor method and passive sampling were compared using a variety of disparate sediment types containing PAHs from a variety of sources (including petroleum sources) and exhibiting a range of PAHs likely to be encountered in a typical sediment site investigation. To evaluate the potential for the biosensor to serve as a screening approach to identify sediments that are potentially non-toxic to aquatic life (Neff et al., 2005; Hawthorne et al., 2006; McGrath et al., 2019; Simpson et al., 2020), biosensor results were also compared to PAH Toxic Unit (TU) results (USEPA, 2003; USEPA 2012b; USEPA, 2017b; Endo et al. 2020) calculated using passive sampler measurements and the United States Environmental Protection Agency (USEPA) Equilibrium Partitioning (EqP) models (USEPA, 2012b), as applied to concentrations of PAHs and organic carbon content measured in bulk sediment.

2. Materials and Methods

2.1. Test Sediments

Four sediments containing PAHs from a variety of sources were selected for this study: 1) Sediment “C (Petroleum Low)” was obtained from freshwater sediment near primarily petroleum refining sources; 2) Sediment “G2 (Petroleum High)” was obtained from an estuarine sediment near petroleum production (crude oil) sources; 3) Sediment “S (Urban Reference)” was obtained from a freshwater sediment near a variety of urban ambient sources; and 4) Sediment “V1 (Creosote)” was obtained from an estuarine sediment near a known historical creosote wood treatment facility. Sediments were obtained from surficial layers (approximately 30 cm or less below the sediment-water interface) and maintained at 4°C until processing and additional measurements. Additional details on the test sediments and processing are provided in Section 1 of the Supplementary Information.

2.2. Determination of Bulk Sediment PAHs

Following homogenization, aliquots of bulk sediment were analyzed at a commercial analytical laboratory (Eurofins TestAmerica, Knoxville, TN, USA) for parent (un-substituted) and alkylated PAHs via Gas Chromatography/Mass Spectrometry Isotope Dilution methods consistent with United States Environmental Protection Agency (USEPA) Method 8270 (USEPA, 2018), Total Petroleum Hydrocarbons (TPH) analytes TPH Diesel Range, TPH Oil Range, and TPH Gasoline Range via USEPA Method 8015C (USEPA, 2007), and Total Organic Carbon (TOC) and Black Carbon (BC) via the Lloyd Kahn method (USEPA, 1988). 35 PAH analytes were quantified by the USEPA Method 8270 analysis in sediment (Table S1). The analytical list of PAHs targeted in this study is directly comparable to the 34-analyte analytical programs (i.e., “PAH₃₄”) often used to evaluate PAHs in sediment (USEPA, 2012b), as our program provided results for benzo[b]fluoranthene and benzo[k]fluoranthene individually, rather than a summed “benzo[b + k]fluoranthene” analyte in PAH₃₄ programs. Additional details on the analysis of the analytes in the bulk sediment are provided in Section 1 of the Supplementary Information.

2.3. Determination of C_free PAHs

C_free PAHs in sediment was measured ex situ using 250-mL aliquots of the four test sediments. Two approaches were used. The biosensor approach was conducted with an aliquot of sediment porewater (approximately 20 mL per sample) obtained via centrifugation of a portion of the 250-mL sediment sample in 50 mL Teflon® centrifuge tubes for 15 min at 3500 g. Sufficient porewater volume for the V1 sediment was not obtained via this approach, so a porewater sample was obtained via centrifugation of a sediment slurry that had been tumbled for 28 d (see Section 2 of the Supplementary Information). The resulting porewater supernatant from each sediment was decanted and temporarily stored in 20-mL glass scintillation vials. If fine particulates were observed to be present in the porewater samples, samples were filtered through a 0.45-μm Teflon® syringe filter. It should be noted that the centrifugation and filtration of porewater for use in the biosensor is likely insufficient to remove potentially unavailable PAHs that may be associated with colloidal matter and dissolved organic carbon. The same day of porewater collection and filtration, the samples were analyzed with a KinExA Inline instrument (Sapidyne Instruments, Boise ID) to determine the ΣPAH using the antibody-based biosensor method, as described in detail in Li et al. (2016). This method utilizes the monoclonal antibody 2G8 that has high affinity for parent and alkylated PAH compounds with 3 to 5 rings; the antibody has a lower affinity for 2-ring PAHs. The KinExA Inline instrument utilized an automated sample-handling program and was calibrated for ΣPAH concentration with phenanthrene standards (ICN Pharmaceuticals) ranging from 0.1 to 2.5 mg/L that were created daily in deionized water by serial dilution from a stock solution. Samples with a detector response outside the calibration curve were diluted with deionized water to bring the instrument response into the most linear portion of the concentration range. Additional procedures for the biosensor are described in more detail in Spier et al. (2011) and Li et al. (2016). Multiple biosensor C_free ΣPAH measurements were made on each sediment (Table S3); the mean value of the multiple measurements were used for subsequent data analysis.

The second approach for ex situ C_free determination used commercially-available equilibrium passive samplers (SP3^™, https://www.siremlab.com/). The SP3^™ sampler design consisted of a 3 centimeter (cm) × 3 cm piece of 13 micrometer (μm) thick low-density polyethylene (PE) housed in a stainless-steel mesh envelope that was solvent cleaned and spiked with Performance Reference Compounds (PRCs) consisting of rare PCBs congeners. Passive samplers were added to 500-mL amber glass jars containing a slurry composed of an approximate 250-mL aliquot of wet test sediment and 250-mL volume of ultrapure water spiked with 1 mL of a 25-g/L sodium azide solution to inhibit microbial transformation (Jonker et al., 2020). The jars (four per test sediment) were maintained at an average temperature of 20°C and rotated end-over-end for 28 d to facilitate uptake of C_free PAHs by the passive sampler. After the exposure period, the passive samplers were removed from the jars and packaged individually for storage at 4°C until they could be processed, weighed, and solvent-extracted prior to analysis of the solvent to determine the concentration of 35 PAH analytes (Table S1) in the PE via standard methods at a commercial analytical laboratory. The resulting data were then used to calculate C_free for the 35 individual PAH analytes. Samplers exposed to the S (Urban Reference) sediment indicated that many of the PAH analytes were undetectable, so two of the four solvent extracts were combined, concentrated further under inert gas to enable lower detection limits to be achieved, and reanalyzed (see Section 2 of the Supplementary Information). Methods for passive sampler preparation, deployment, storage, extraction, analysis, and estimation of C_free values are detailed further in Section 2 of the Supplementary Information, and were consistent with passive sampling practices recommended by USEPA (2017a).

C_free of the 35 PAHs were also predicted using USEPA Equilibrium Partitioning (EqP) modeling (USEPA, 2012b) with the concentration of PAHs in bulk sediment, TOC and BC contents of the bulk sediment, and model constants (i.e. TOC and BC partitioning coefficients). Two predictions of C_free of each PAH for each of the four test sediments were calculated. The first predicted C_free value was calculated using the 1-carbon model, which assumes partitioning between TOC and sediment porewater; the second value was calculated using 2-carbon model, which assumes partitioning among TOC, BC, and sediment porewater. Additional details on the modeling, as well as EqP predictions, are provided in Section 3 of the Supplementary Information.

3. Results and Discussion

3.1. C_free ΣPAH Values

In terms of providing an estimate of an inclusive measurement to reflect a sum of freely-dissolved PAHs within a particular sediment, the biosensor indicated comparable results to C_free ΣPAH measured by the passive sampler and predicted by EqP modeling (Figure 1, Table S6), although, as discussed below, these approaches do not align perfectly in terms of the analytes they quantify. Mean C_free ΣPAH values between the biosensor and passive sampler for the four test sediments agreed within a factor of 3 or less. On average, mean (SD) biosensor C_free ΣPAH values were 1.1 (0.53) times higher than mean C_free ΣPAH measured by the passive sampler. C_free ΣPAH results were sufficiently precise to indicate statistically-significant differences (t-test, P < 0.05; see Section 4 of the Supplementary Information) between the biosensor and passive sampler in two of the three test sediments in which multiple measurements with both approaches were available (sediments C, G2, and V1). However, it is not uncommon to obtain statistically-detectable differences between measurements using two different aliquots of sediment by two different laboratories, even with standardized chemical measurements (Quevauviller, 1998; Turle et al., 2007). Thus, while statistically different, the correspondence of biosensor and passive sampler results are close enough to be considered functionally indifferent given the intended goal of the biosensor as a predictive or screening tool.

Fig. 1.

Sum of the total detected C_free PAHs (ΣPAH) predicted by 1-carbon and 2-carbon EqP models and measured via passive samplers and the biosensor in the four test sediments. In cases where multiple measurements are available, values are mean (SD). The nested, dashed-line columns represent the C_free ΣPAH_3–5 predicted EqP models and measured via passive samplers.

Agreement between the 1-carbon and 2-carbon EqP model C_free ΣPAH predictions and the values measured by the biosensor was good for three of the four test sediments. For test sediments C, G2, and S, mean (SD) C_free ΣPAH values indicated by the biosensor were a factor of 1.1 (0.4) and 1.4 (0.4) times higher than the 1-carbon and 2-carbon EqP model predictions, respectively (Figure 1, Table S6). A similar level of agreement for these three sediments was found between the C_free ΣPAH values indicated by the passive sampler and the EqP models. The exception was found in the case of the creosote (V1) sediment, as the 1-carbon and 2-carbon EqP model C_free ΣPAH predictions were approximately 60 times higher than mean C_free ΣPAH values indicated by the biosensor and approximately 20 times higher than values measured via passive sampling. Many researchers have observed that EqP models often tend to overestimate C_free of hydrophobic organic compounds (Hawthorne et al., 2007; Arp et al., 2009; Fernandez et al., 2009; McDonough et al 2010; Gschwend et al., 2011; Brennan and Johnson, 2018; McGrath et al., 2019; Endo et al., 2020). The inability of the EqP model to accurately predict C_free in the V1 sediment further indicates the importance of accurate C_free measurement approaches.

Overall, the relative level of agreement observed between the biosensor and passive sampler approaches is notable, considering the approaches rely on completely different methods to quantify and detect C_free PAHs. The PAHs in the test sediments varied in PAH signature (reflecting different sources and environmental setting, as detailed in Table S2 and Supplementary Information Section 5), exhibited C_free ΣPAH ranging over two orders of magnitude (Figure 1), and featured detectable concentrations of all 35 PAHs measured (Table S4). The relatively good agreement among methods indicates the potential utility of the rapid biosensor method to serve as a powerful screening tool for use in a diverse array of sediment and PAH characteristics likely to be encountered by typical sediment site investigations.

It is acknowledged that the C_free approaches evaluated in this investigation may not fully quantify all freely-dissolved PAHs that may be present. As noted in the introduction, the biosensor is optimized to detect 3- to 5-ring PAHs, and there is uncertainty with regards to its ability to fully and accurately quantify 2-ring PAHs that may comprise a large proportion of the PAHs found in petroleum-impacted sediment. Passive sampler results indicated that 2-ring PAHs represented a significant proportion (22% to 98%) of the total detected C_free (Figure 2), especially for the sediments with PAHs primarily derived from petroleum sources (e.g., sediments C and G2). Despite the large proportion of 2-ring PAHs in the petroleum-impacted C and G2 sediments, C_free ΣPAH values as measured by the biosensor and passive sampler were comparable, with the biosensor values 1.2 to 1.5 higher than passive sampler values (Figure 1). If the biosensor only responded to 3- to 5-ring PAHs, it would be expected that the C_free ΣPAH_3–5 in the C and G2 sediments, as measured by the passive sampler and predicted by the EqP models, would be in closer agreement with the C_free ΣPAH values indicated by the biosensor. This was not the case, as passive sampler and EqP C_free ΣPAH_3–5 values were a factor of 2 to 8 times lower than C_free ΣPAH values indicated by the biosensor (Figure 1). It is also likely that the GC-based measurements used for the analysis of passive samplers and bulk sediment do not fully quantify the hundreds of environmentally relevant PAHs that may be present in PAH-impacted sediment (Neff et al., 2005). For example, the biosensor may detect a wider array of alkylated PAHs compared to GC-based methods (Li et al., 2016), and this may explain the discrepancy between passive sampler and EqP C_free ΣPAH_3–5 values and C_free ΣPAH values indicated by the biosensor (if one assumes the biosensor primarily detects 3- to 5-ring PAHs). Sediments with PAHs derived from petroleum are more likely to exhibit higher amounts of alkylated PAHs compared to sediments with creosote-derived PAHs. For example, 81–96% (on average) of the C_free PAH measured by passive samplers in sediments C and G2 were comprised of alkylated PAHs (Table S4). Thus, it is possible that all alkylated PAHs are not fully or directly quantified in the analysis of the passive sampler, and this may explain the difference in C_free ΣPAH (biosensor) and ΣPAH_3–5 (passive sampler) for these two sediments. Additional experimentation with expanded GC analytical capability and controlled experiments with single compound PAHs would be useful in evaluating biosensor PAH responses.

Fig. 2.

Mean percentage of total detected C_free PAHs (ΣPAH) comprised of 2-, 3-, 4-, and 5-ring PAHs, as measured by passive samplers. 6-ring PAHs comprised less than 0.04% of C_free ΣPAH, and are not included in the graph.

3.2. Biosensor Results and PAH Toxic Units

Ultimately, a key role for C_free measurements or predictions within the context of a sediment investigation is to predict the likelihood of adverse effects on biota in a particular sediment or resolve the contribution of PAHs (relative to other sediment characteristics) in sediments in which adverse effects are observed with sediment toxicity tests or other biological evaluations. C_free measurements with passive samplers or C_free EqP predictions can be evaluated with respect to the potential toxicity of PAHs to aquatic life using the PAH Toxic Unit (TU) approach (USEPA, 2003; Hawthorne et al., 2006; Hawthorne et al., 2007; Kreitinger et al., 2007; McDonough et al., 2010; Arp et al., 2011; USEPA 2012b; USEPA, 2017b; Brennan and Johnson, 2018; McGrath et al., 2019; Endo et al. 2020; Simpson et al., 2020). This approach calculates PAH TU values via dividing the concentrations of individual PAHs (or other organic compounds) in an aqueous medium by their respective toxic thresholds (no-observed effect concentrations, effective concentration 20%, etc.). Summation of the TU values generates a single value (ΣTU). For the USEPA (2003, 2012b) PAH TU approach, ΣTU values less than one are considered to indicate sediments in which PAH-derived effects are not expected, whereas ΣTU values above one indicates that the absence of potential toxicity cannot be assumed without additional evaluation. The precise ΣTU (above a value of one) at which adverse effects become apparent is unclear. For example, various studies have indicated that for PAH-impacted sediments tested with laboratory benthic organisms, relatively consistent reductions in survival are observed at ΣTU values of approximately 10 or higher (Kreitinger et al., 2007; McDonough et al 2010; Arp et al., 2011; McGrath et al., 2019). It should be noted that this approach is specific to PAHs, and it does not evaluate the potential for toxicity derived from other chemicals that may be present.

Mean (SD) PAH ΣTUs, as calculated using the passive sampler C_free measurements (Section 7 of the Supplementary Information) were 0.34 (0.04), 5.8 (0.49), 0.039, and 6.7 (1.3) for the petroleum low (C), petroleum high (G2), and urban reference (S), and creosote (V1) sediments, respectively (Table S7). 1-carbon and 2-carbon model predicted PAH ΣTU values for three of the four test sediments were within a factor of 3 of PAH ΣTU values based on those measured with passive samplers, with the exception of the creosote (V1) sediment (Figure 3). The passive sampler, 1-carbon model, and 2-carbon model were all in agreement with regards to which sediments exceeded the ΣTU threshold of 1 (petroleum high (G2) and creosote (V1)). The biosensor indicated mean values C_free ΣPAH of 20 and 55 μg/L for petroleum high (G2) and creosote (V1) sediments, respectively (Table S6). C_free ΣPAH for these two sediments exceed a previously noted 10 μg/L biosensor threshold, at which the onset of mortality was observed in 10-d Leptocheirus plumulosus sediment toxicity tests (Hartzell et al., 2018). In contrast, the biosensor indicated mean values C_free ΣPAH of 3.1 to 4.3 μg/L for the other sediments (petroleum low (C) and urban reference (S)). Passive sampler PAH ΣTUs were 0.34 and 0.039 for the C and S sediments, respectively (Table S7), and EqP model-predicted PAH ΣTU values were below 1 for these sediments (Table S8); thus, all three approaches indicated that the C and S sediments would not be expected to be toxic. Overall, the passive sampler, biosensor, and EqP model results agreed regarding the identification of the two test sediments for which PAH-derived toxicity was not expected; however, additional toxicity testing on a wider-range of PAH-contaminated sediments is needed to validate the 10 μg/L biosensor threshold as an appropriate toxicity screening threshold for site assessment.

Fig. 3.

Mean C_free total PAH Toxic Units (PAH ΣTU) measured with passive samplers compared to 1-carbon (a) and 2-carbon (b) EqP model predictions of C_free PAH ΣTU. Points between the diagonal dashed lines indicate agreement within a factor of 3 or less between measured and predicted values.

The agreement between the passive sampler PAH ΣTUs values and biosensor results (with respect to a hypothetical 10 μg/L biosensor threshold) is less likely to be affected by the potential discrepancies in the two methods with regards to detecting 2-ring PAHs. For example, an average of 60% (range 44% to 85%) of the mean PAH ΣTUs indicated by the passive sampler were derived from the 3- to 5-ring PAHs (Figure 4) that are likely to be most accurately quantified by the biosensor. Thus, if most of the contribution to toxic potential is due to 3- to 5-ring PAHs (as in these sediments), biosensor and passive sampler results would be expected to agree with respect to identifying non-toxic sediments.

Fig. 4.

Percentage of mean C_free total PAH Toxic Units (PAH ΣTU) derived from 2-, 3-, 4-, and 5-ring PAH TUs, as measured by passive samplers. 6-ring PAH TUs comprised less than 1% of C_free PAH ΣTU, and are not included in the graph.

Conclusions

The C_free PAH results from the four test sediments, ranging over two orders of magnitude and derived from different sources (petroleum, creosote, and mixed urban sources), indicated that the biosensor is a promising tool for evaluating the availability and potential toxicity of PAHs to aquatic life at sediment sites. The biosensor offers flexible field- or laboratory-based rapid assessment capabilities for generating real-time data that can be used to prioritize sediment for additional evaluations such as C_free determination with passive samplers, toxicological testing, or other ecological evaluations. These capabilities are particularly attractive for evaluating sediments in remote locations and during a variety of investigation and remediation monitoring phases of typical sediment sites. This application would benefit from additional field demonstration with higher sample numbers and types of sediments, ideally involving organism toxicity testing to evaluate the ability of the biosensor to serve as a screening tool for identifying potential sediment toxicity due to PAHs. Standardization and commercialization of a sediment porewater biosensor method would also be worthwhile so that this approach can be widely applied by sediment assessment practitioners.