Open Access Article
Rikke
Hammershøj
a,
Karina K.
Sjøholm
a,
Heidi
Birch
a,
Kristian K.
Brandt
b and
Philipp
Mayer
*a
aTechnical University of Denmark, Department of Environmental Engineering, Bygningstorvet, Building 115, 2800 Kgs. Lyngby, Denmark. E-mail: philm@env.dtu.dk
bUniversity of Copenhagen, Department of Plant and Environmental Sciences, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
First published on 4th September 2020
The biodegradation kinetics of UVCB substances (unknown or variable composition, complex reaction products or biological materials) should be determined below the solubility limit to avoid experimental artefacts by the non-dissolved mixture. Recently, we reported delayed biodegradation kinetics of single petroleum hydrocarbons even at concentrations just below the solubility limit and attributed this to toxicity. The present study aimed to determine the concentration effect on biodegradation kinetics for constituents in two UVCBs, using surface water from a rural stream as the inoculum. Parallel biodegradation tests of diesel and lavender oil were conducted at concentrations just below the solubility limit and two orders of magnitude lower. The biodegradation kinetics of diesel oil constituents were generally similar at the two concentrations, which coincided with the stimulation of bacterial productivity (growth) at both concentrations, determined by [3H]leucine incorporation. By contrast, the biodegradation of lavender oil constituents was significantly delayed or even halted at the high test concentration. This was consistent with lavender oil stimulating bacterial growth at low concentration but inhibiting it at high concentration. The delayed biodegradation kinetics of lavender oil constituents at high concentration was best explained by mixture toxicity near the solubility limit. Consequently, biodegradation testing of hydrophobic UVCBs should be conducted at low, environmentally relevant concentrations ensuring that mixture toxicity does not affect the biodegradation kinetics.
Environmental significance statementBiodegradation kinetics is a fundamental component of environmental risk and hazard assessment. However, biodegradation testing of complex mixtures is often limited by analytical and technical challenges. In this study, we apply a recently developed biodegradation platform to determine the biodegradation kinetics for constituents in two hydrophobic complex mixtures at two concentrations (just below the solubility limit and two orders of magnitude lower). The results demonstrate why it is important to test at low, non-toxic and fully dissolved concentrations, and show how this can be done when using advanced analytical methods. |
The chemical test concentration is important in biodegradation studies because at a low concentration a substance may serve as a substrate and stimulate microbial respiration and growth, and thus biodegradation, while at a higher concentration that same substance may be toxic and inhibit biodegradation. The link between the chemical test concentration and biodegradation kinetics is relatively well-studied for single chemicals.5–10 At very low concentrations of a single chemical (e.g. low ng L−1 range), biodegradation may be limited by substrate availability in the absence of other carbon sources.7,8 An increase in chemical concentration will stimulate the microbial metabolic activity and growth, but only up to a certain point.6,10 Increasing the concentration above this point will not increase the degradation activity, and eventually the substrate might reach a level where it becomes toxic.6,10 When conducting biodegradation tests with a complex mixture, however, many different interactions will take place. For instance, while biodegradation of a single chemical may be limited at very low concentrations,7,8 bacteria have been observed to subsist on a multitude of carbon substrates that were each present at minuscule concentrations.11 At the higher concentration end, hydrophobic organic chemicals (HOCs) typically exert baseline toxicity at concentrations above 1% of solubility, i.e. at chemical activity above 0.01.12 For mixtures of chemicals, antagonistic or synergistic interactions can result in the mixture toxicity being lower or higher than what would be expected based on concentration addition. The link between the chemical test concentration and biodegradation kinetics thus needs to be studied specifically for complex mixtures.
A fair amount of research has been conducted on aquatic biodegradation of petroleum products such as crude oil,13,14 gasoline,15–18 diesel oil18 and biodiesel.19 Many of these studies targeted oil spill situations and most were conducted at concentrations above the water solubility limit of the oil constituents. Prince et al.14 reviewed twenty-two papers published between 1995 and 2016 that studied biodegradation of dispersed oil in seawater and reported half-lives ranging from 1 to 276 days (some results were extrapolated beyond the study duration). They inferred that the main driver for this variability was the large difference in the initial oil concentration (between 2 and 10
000 mg L−1) and further derived that many of these studies must have contained hydrocarbon constituents in a free phase. When Prince et al.14 studied the degradation of dispersed crude oil in seawater at different concentrations (between approximately 2.5 and 2500 mg L−1) they observed that increasing the oil concentration significantly slowed the biodegradation. However, in all these tests some constituents were also present as oil droplets. When reviewing the literature, no studies were found on the effect of test concentration on the biodegradation kinetics of hydrophobic complex mixtures at concentrations below the solubility limit.
Primary biodegradation kinetics can be determined for individual chemicals in mixtures by specific chemical analysis (e.g. gas chromatography),20–22 and recent advancements in analytical chemistry have enabled biodegradation kinetics studies without labelled substances even in the sub μg L−1 concentration range.23,24 The present study applied a recently developed experimental and analytical platform for biodegradation kinetics testing of hydrophobic chemicals in defined mixtures.20,23 Primary biodegradation kinetics were determined for individual constituents in two complex mixtures, diesel oil and lavender oil, at two different concentrations. Passive dosing was used to set initial concentrations in a surface water inoculum, thus avoiding undissolved compounds or co-solvents.4 Automated headspace solid phase microextraction was applied directly on the test systems, which had the advantage of reduced test substance losses and an enhanced sensitivity for the most hydrophobic mixture constituents whereby the number of detectable mixture constituents was increased.
The mixture effect on bacterial productivity (growth) was determined by measuring the rates of [3H]leucine incorporation during the first nine days of the biodegradation experiment. Leucine incorporation is a widely used method25 to evaluate bacterial productivity and has, for example, been used to assess the toxicity of gasoline vapors to soil bacterial communities,26 and of antibiotics27,28 and surfactants29 to limnic bacterial communities. Most freshwater bacterial groups can take up leucine and incorporate it in proteins,25 and leucine incorporation is considered a sensitive assay for determining the toxic effects of chemicals in complex microbial communities.28,29
The aim of this study was to determine the concentration effect of diesel and lavender oil on the biodegradation kinetics of their constituents, and then to link this to the mixture effect on bacterial productivity.
Biodegradation tests were conducted at two test concentrations, (i) just below the solubility limit, i.e. within the range where baseline toxicity has been observed in microorganisms, and (ii) two orders of magnitude below the solubility limit. The working hypothesis was that the biodegradation of mixture constituents can be inhibited at high test concentrations due to mixture toxicity, resulting in a longer lag phase and half-life compared to the lower test concentrations.
In brief, a pre-cleaned silicone rod was loaded with the liquid chemical test mixture in one of two ways. At low loading levels (<5 g mixture per g silicone), a defined volume of the mixture was added to a silicone rod in a glass jar using a gastight Hamilton syringe. The glass jar was then closed and rolled horizontally for 48 h, which allowed the rod to absorb the added test mixture. At high loading levels, an excess amount of the mixture was added to a silicone rod in a glass jar using a gastight Hamilton syringe. The glass jar was then closed and rolled horizontally until a loading level was reached that corresponded to approximately 70% of saturation.4 The time that was required to reach this loading level was predetermined from a loading-kinetics curve made for each test mixture (ESI 1†). After loading, all rods were rinsed with ultrapure water and stored individually in 240 mL gas-tight amber glass bottles for 2 weeks until use.
Seven identical passive dosing systems (loaded rod in a 240 mL gas-tight amber glass bottle) were made for each of the four biodegradation tests (Table S1†). The dimensions of the passive dosing systems were chosen to ensure fast kinetics (high donor surface area to water volume ratio) and avoid donor depletion for all mixture constituents (high donor volume to water volume ratio, i.e. Vdonor/Vwater > 0.1 L/L for constituents with silicone to water partition coefficients, Ksilicone/water, > 100 L/L).4 Since the lavender oil included constituents with Ksilicone/water < 100 L/L (Table S7†), larger silicone donors were used in the passive dosing systems with lavender oil than with diesel oil. The diesel oil passive dosing systems were loaded at 0.010 g oil per g silicone (low loading) and 0.42 g oil per g silicone (high loading) and the lavender oil passive dosing systems were loaded at 0.010 g oil per g silicone (low loading) and 0.44 g oil per g silicone (high loading). Further details are given in ESI 1.†
Three additional biotic test systems (15 mL dosed surface water inoculum in a 20 mL autosampler vial) from each passive dosing bottle and fifteen surface water controls (15 mL non-dosed surface water inoculum in a 20 mL autosampler vial) were also prepared. These test systems were used to measure the rates of [3H]leucine incorporation in growing bacteria during the first nine days of the biodegradation experiment relative to the non-dosed surface water inoculum. The test systems and surface water controls were incubated with the other test systems and sampled after 0 (only surface water controls), 1, 3 and 9 days.
All test systems had a 5 mL headspace to ensure aerobic conditions throughout the test, and for confirmation, the oxygen level was measured in separate test systems after 10, 21 and 29 days (n = 1, Table S3†).
:
1 split (diesel oil near saturation) or with a 25
:
1 split (lavender oil near saturation), and with a septum purge flow of 3 mL min−1. Post-conditioning of the fiber was performed for 10 min at 320 °C. Separation was obtained on a 122-5562UI DB-5 ms Ultra Inert column (Agilent) of 60 m length, 250 μm inner diameter and 0.25 μm film thickness. Helium was used as the carrier gas at a flow rate of 1.2 mL min−1. The GC oven temperature was 40 °C for the 10 min desorption followed by a ramp of 10 °C min−1 to 100 °C, 1.5 °C min−1 to 200 °C and 20 °C min−1 to 320 °C. The total GC cycle time was 89 min. All samples were analyzed by full scan MS from 50 to 500 amu with a gain factor of 3. 20 mL autosampler vials containing 15 mL ultrapure water or 15 mL poisoned surface water inoculum (0.05 wt% NaN3) were included in each run as blanks. Furthermore, duplicate 2 mL samples of 0.01 g g−1 (diesel) or 0.01 g g−1 (lavender) oil in PDMS silicone oil in 20 mL autosampler vials served as reference standards that were used to check for differences in instrument sensitivity and retention time drifts between runs.
The detection limit and quantification limit were selected as ten times and twenty times the root-mean-square signal-to-noise ratio, calculated using MSD ChemStation Enhanced Data Analysis for the extracted ion chromatogram. Constituents below the detection limits were omitted from further analysis. If a constituent was below the quantification limit at the low test concentration but not at the high test concentration, its biodegradation kinetics were only determined at the high test concentration. One diesel oil constituent was omitted due to an elevated blank response. One abiotic vial (lavender at high concentration on day 2) had leaked, and the corresponding biotic/abiotic pair was thus excluded.
The background concentrations of mixture constituents in the surface water inoculum were below 1% of the lowest test concentration for all diesel oil and lavender oil constituents. This was determined by comparing levels in poisoned surface water with levels in dosed abiotic test vials analyzed in the same GC-MS run.
After deconvolution, tentative identifications were done by library spectral search in NIST 17 using MassHunter Unknown Analysis (Version B.09.00/Build 9.0.647.0, Agilent Technologies). The spectral matches were manually checked and the suggestion with the highest match factor was generally selected. In a few cases the second or third suggestion was selected due to better spectral match based on the visual comparison of spectra. Only tentative identifications with a match factor >80% are reported. A list of the selected mixture constituents is given for the two test mixtures in ESI S3.†
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For the purpose of this study, the single first-order model was deemed adequate by the evaluation of the visual fit, but we acknowledge that other models may give a better fit to the data, and that the underlying process may not be truly first-order at all test concentrations.
The test system half-life (T½) for a constituent was calculated as ln(2)/ksystem. The test system biodegradation half-time (DegT50) was calculated as the sum of the lag phase and half-life. Biodegradation kinetics parameters (tlag, ksystem, T½ and DegT50) were reported when at least two measurements were made during the visual degradation phase (10% < Crelative < 90%) and the goodness of fit was R2 > 0.8. Otherwise only DegT50 was reported.
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| Fig. 2 First-order degradation model fitted to experimental biodegradation data for four diesel oil constituents at the low and the high test concentration. The four constituents were selected based on the best fit (R2, Fig. S6†) at the low test concentration. Note that compound identifications are tentative. Error bars represent the standard error of the mean, n = 3. | ||
All but four diesel oil constituents were fully degraded within the 28 day test duration. These four constituents (Rt 45.55, m/z 132; Rt 45.85, m/z 159; Rt 45.98, m/z 159; and Rt 47.53, m/z 159) were 70–90% degraded at the end of the test at the high concentration while they were all below the quantification limit at the low concentration. Degradation kinetics were rather similar for most of the 100 diesel oil constituents that were fully degraded within 28 days. Lag phases were between 1 and 9 days (low test concentration) or 1 and 7 days (high test concentration), followed by degradation with half-lives of 0.5 to 12 days (ESI 5†). The observed degradation pattern for the diesel oil constituents in Fig. 2 was thus generally consistent with the degradation of the other diesel oil constituents.
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| Fig. 3 First-order degradation model fitted to experimental biodegradation data for four lavender oil constituents at the low and the high test concentration. The four constituents were selected based on the best fit (based on R2, Fig. S6†) at the low test concentration. Compound identifications are tentative. Error bars represent the standard error of the mean, n = 3. | ||
Biodegradation kinetics (i.e. lag phase and degradation half-life or half-time) varied notably between the lavender oil constituents (Fig. 3 and S5†). Two constituents (tentatively identified as caryophyllene and cis-beta-farnesene) were fully degraded at the low concentration and partially degraded at the high concentration after 28 days. Another three constituents were fully degraded (tentative id. endo-borneol and 3-octanone) or partly degraded (tentative id. lavandulol, ∼84%) at the low concentration while there were no visible signs of degradation at the high concentration after 28 days. For the remaining five constituents, there were no visible signs of biodegradation at either test concentration within the 28 day test duration.
The two main constituents in the lavender oil were linalyl acetate and linalool. In this study, the lavender oil constituent that was tentatively identified as linalyl acetate rapidly dissipated from both abiotic and biotic test systems at both the high and the low test concentration (data not shown), which can be explained by its ability to undergo hydrolysis within a day.34 The constituent that was tentatively identified as linalool was not visibly degraded within the 28 day test duration at any of the two test concentrations (Fig. S5†) even though linalool is listed as readily biodegradable under REACH.35 A similar discrepancy was observed for the constituent tentatively identified as eucalyptol, which was not visibly degraded in this study but is listed as readily biodegradable in its REACH dossier.36 No conclusions could be drawn on the reason for this difference, but potential explanations include a limited number of competent degraders in the used surface water, or mixture effects such as a preferential substrate consumption leading to sequential degradation, or competitive inhibition.
The variations in biodegradation kinetics between the lavender oil constituents could be due to the larger diversity in the chemical structure compared to the diesel oil constituents, since some chemical structures are inherently more recalcitrant to biodegradation than others. It could also be hypothesized, that the different chemical structures are degraded by different types of microorganisms, some of which were present whereas others were not.
For the diesel oil constituents, the DegT50's were overall similar at the two test concentrations though slightly longer at the low concentration (Fig. 4). This was attributable to longer lag phases at the low test concentration (Fig. S4† and 2). Once the degradation was initiated, the first-order biodegradation half-lives were similar at low and high test concentrations (Fig. S4†). The similar degradation kinetics are consistent with the initial stimulation of [3H]leucine incorporation observed at both test concentrations (Fig. 1A).
For lavender oil, the DegT50's varied notably between the lavender oil constituents and between the two test concentrations (Fig. 4). The high lavender oil test concentration delayed the biodegradation kinetics for all constituents that were degraded at the lower test concentration. This increase in the degradation half-time at the higher test concentration could be due to growth-linked kinetics as described by the Monod equation.37 A lag phase represents processes such as adaptation and growth of degrading microorganisms, and a longer apparent lag phase can occur when a higher bacterial density is needed to degrade a higher substrate concentration. However, the [3H]leucine incorporation rates showed a near-complete inhibition of bacterial productivity (growth) at the high lavender oil concentration (Fig. 1B). Thus, the delayed biodegradation kinetics near the solubility limit were more likely due to toxicity. In a recent study, Trac et al.38 observed that the toxicity of both the diesel and lavender oil towards Daphnia magna was within the baseline toxicity range but with a higher toxicity of lavender oil compared to diesel oil, and in general, many types of lavender oil are known to have antimicrobial properties.39 This is consistent with the strong inhibition of microbial growth at the high test concentration of lavender oil observed in this biodegradation study. Some biodegradation still occurred at the high test concentration for the constituents tentatively identified as caryophyllene and cis-beta-farnesene. This pattern, with a decoupling of growth and biodegradation, has also been observed for microorganisms in soil, where an exposure to gasoline vapors at toxic levels led to a decoupling between microbial growth and respiration.26
The near absence of a concentration effect for the diesel oil constituents might be explained by the surface water inoculum containing degrading microorganisms that were not very sensitive to the diesel oil,40 which is not unlikely given that hydrocarbons are ubiquitous in the aquatic environment due to their many diffuse sources.41
Analytical challenges and technical issues are some of the main limitations to biodegradation testing of UVCB substances.2,42 In this study, the automated HS-SPME-GC/MS method used directly on the test systems ensured minimal losses and low detection limits, which made it possible to obtain primary biodegradation kinetics for many individual, and potentially diverse, mixture constituents even at the low test concentration. The method is thus highly useful for determining primary biodegradation kinetics of individual mixture constituents, whereas it cannot directly be used to determine how much of the original mixture has been degraded in total. This is because the enrichment into the SPME fiber coating and the sensitivity of the MS detector are constituent specific, which results in chromatograms that are not directly representative of the mixture composition in the aqueous phase. Furthermore, the SPME fiber is only sensitive to hydrophobic constituents, and more polar degradation products may therefore not be detected. The total and ultimate biodegradation (mineralization) of a complex mixture can be determined by measuring a non-specific analytical parameter such as CO2 production.42 However, determining the overall mineralization of a mixture will not provide information on potentially persistent constituents, even if a pass criterion43 like 60% of the theoretical CO2 production is reached. Future biodegradation testing strategies for UVCB substances may thus require a combination of specific and non-specific approaches.
A focal feature of the partitioning-based biodegradation platform used in this study is the consistent pairing of biotic and abiotic test vials. For some lavender oil constituents this pairing was insufficient to separate the biodegradation from other dissipation processes. Many essential oil constituents can be converted into each other through abiotic transformations such as hydrolysis, autoxidation and isomerization processes, which can occur rapidly even at room temperature.44 Only a few studies are currently available on the biodegradation of essential oils or essential oil constituents,45 and this is thus an area where further research is needed.
The observations of this study show the potentially complex relationship between the concentration of a complex mixture of substrates and complex microbial communities, and demonstrate that it is essential to control and understand the effect of the test concentration in biodegradation testing of UVCB substances. Ideally, all mixture constituents should be fully dissolved and below toxic levels when conducting biodegradation studies with complex mixtures for environmental risk assessment purposes, given that this is the case in most aquatic environments. The analytical methods that are widely available today make it possible to test even hydrophobic chemicals orders of magnitude below their solubility limit, and we thus advocate that the persistence and biodegradability of UVCB substances should be tested at low concentrations more similar to those that are found in the relevant aquatic environments.
Footnote |
| † Electronic supplementary information (ESI) available: The following files are available free of charge: list of mixture constituents and tentative identifications, passive dosing loading kinetics, characterization of the surface water inoculum, mass balance calculations, degradation curves and kinetics for diesel oil constituents, degradation curves and kinetics for lavender oil constituents, and Fig. 2 and 3 with R2 values (PDF). See DOI: 10.1039/d0em00288g |
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