1. Introduction
Petroleum contamination of soil remains a major environmental problem in regions with intensive oil extraction, transport, and storage. Once introduced into soil, petroleum hydrocarbons can alter soil physical properties, impair gas exchange and water relations, suppress biological activity, disrupt nutrient cycling, and create long-term ecological risks for terrestrial ecosystems and adjacent water resources [
1,
2,
3,
4]. These risks are especially significant in northern oil-producing regions, where adverse climatic conditions slow natural attenuation processes and prolong the persistence of contaminants in soil [
3,
4,
5,
6]. Therefore, the development of effective and environmentally compatible remediation strategies remains a priority in contaminated-land management [
1,
2,
3,
4].
Among the available remediation options, bioremediation is widely regarded as one of the most promising approaches for petroleum-contaminated soils because it relies on the metabolic potential of microorganisms and can often be implemented with lower disturbance and lower resource demand than intensive physicochemical treatments [
1,
2,
3,
4,
5]. In particular, biostimulation aims to enhance the activity of indigenous hydrocarbon-degrading microorganisms by correcting the main environmental constraints that limit biodegradation, including nutrient imbalance, insufficient aeration, and suboptimal moisture conditions [
3,
4,
5]. Nitrogen availability becomes a key limiting factor after oil spills because hydrocarbon inputs sharply increase the C/N ratio and can restrict microbial growth and enzyme synthesis even when an active degradative microbial community is present [
3,
5,
7,
8,
9].
This limitation becomes more pronounced in boreal and other cold-climate soils. Low temperatures reduce the rates of enzymatic reactions, microbial metabolism, contaminant diffusion, and mass transfer processes, while also influencing oil viscosity and hydrocarbon bioavailability [
5,
6]. As a result, petroleum hydrocarbons may persist for long periods in cold regions, making the optimization of bioremediation under low-temperature conditions particularly important [
5,
6]. At the same time, recent studies have shown that microorganisms from hydrocarbon-contaminated Arctic soils can remain metabolically active even at temperatures below the freezing point, indicating that the key challenge is not the impossibility of biodegradation itself, but rather the identification of site-adapted environmental conditions that allow this process to proceed efficiently [
6].
Although nitrogen amendment is widely used in biostimulation, there is still no consensus regarding the optimal nitrogen dose or the most suitable nitrogen form for petroleum-contaminated soils. Recent studies have shown that the remediation response depends on both the amount and the chemical form of added nitrogen, as well as on soil properties and the level of hydrocarbon contamination [
7,
8,
9,
10]. Moderate nitrogen supplementation may enhance petroleum hydrocarbon removal and improve ecological recovery, whereas excessive nitrogen inputs do not necessarily produce better remediation outcomes and may even redirect microbial metabolism toward nitrogen cycling rather than hydrocarbon degradation [
8,
9]. In addition, the chemical form of nitrogen also plays an important role: urea requires hydrolysis before mineral nitrogen becomes readily available to microorganisms, whereas ammonium- and nitrate-containing fertilizers can provide more immediately accessible nitrogen sources, although their effectiveness may still depend on site conditions and temperature regime [
9,
10]. These findings indicate that nutrient-assisted bioremediation should be considered a site-specific optimization problem rather than a universal remediation measure.
This issue is particularly relevant for nutrient-poor sandy podzolic soils of boreal regions, where low organic matter content, acidic reactions, and limited mineral nutrient reserves may further constrain microbial degradation of petroleum hydrocarbons. Most previous studies have examined individual components of nitrogen-assisted bioremediation, such as temperature effects, nitrogen dose, or nitrogen form, in separate experimental settings. By contrast, studies that evaluate temperature regime, initial contamination level, nitrogen form, and nitrogen dosage simultaneously within a unified factorial design remain limited, especially for sandy podzolic soils of boreal regions. As a result, the relative importance of these factors and their combined influence on petroleum hydrocarbon degradation are still insufficiently resolved for nutrient-poor northern soils. Addressing this knowledge gap is important from both mechanistic and applied perspectives, because remediation decisions in northern oil-producing regions often rely on simple, scalable, and cost-effective nutrient amendments that can be implemented under field conditions.
Therefore, the aim of this study was to assess the effect of nitrogen biostimulation on the degradation of petroleum hydrocarbons in sandy podzolic soil representative of Western Siberia (Khanty–Mansi Autonomous Okrug–Yugra, Russia), with particular attention to the influence of temperature regime, nitrogen form, and initial contamination level. Crude oil contamination was modeled at three levels (25, 50, and 100 g·kg−1), and two nitrogen sources—urea and ammonium nitrate—were applied at several dosages under warm and cold incubation regimes. Unlike studies focused on single-factor optimization, the present work applies a factorial experimental design to compare the combined effects of these variables within one soil system. The response of the soil system was evaluated using changes in residual petroleum hydrocarbon content and the abundance of culturable microorganisms under the applied cultivation conditions. In this way, this study was designed not only to confirm the general stimulatory role of nitrogen addition but also to clarify how temperature, nitrogen form, contamination level, and dosage jointly shape hydrocarbon degradation in sandy boreal soils.
2. Materials and Methods
2.1. Soil Sampling and Characterization
This study was conducted using sandy podzolic soil collected in the city of Surgut (Khanty–Mansi Autonomous Okrug–Yugra, Western Siberia, Russia; 61°18′45.29″ N, 73°24′10.74″ E). The sampling site was characterized by moderate anthropogenic influence, including proximity to urban infrastructure and periodic exposure to low-intensity anthropogenic disturbances typical for peri-urban areas of Surgut, without direct recent petroleum contamination.
Soil samples were collected from the upper soil horizon (0–20 cm) using the envelope sampling method to obtain a representative composite sample [
11,
12]. Five individual subsamples of approximately 1 kg each were collected and combined into a composite sample of approximately 5 kg. After transportation to the laboratory, the soil was air-dried at room temperature (20–22 °C) under natural ventilation for 48 h to remove excess moisture while minimizing thermal alteration of microbial and physicochemical properties, and then homogenized. Typical soil parameters measured before contamination included granulometric composition, pH, exchangeable bases, hydrolytic acidity, humus content, mineral nitrogen forms, and available phosphorus [
13,
14].
Granulometric analysis of the soil was performed using the sieve method with mesh sizes of 5, 2, 1, 0.5, and 0.1 mm [
13]. According to the particle-size analysis, the soil consisted predominantly of sandy fractions (approximately 97%), with a dominant proportion of fine sand particles (91.91%). According to the classification of Kachinsky, the soil corresponds to loose sandy soil [
15].
The physicochemical properties of the soil were determined prior to the experiment. Soil pH (water extract) was 5.36 ± 0.30 [
14]. The sum of exchangeable bases was 13.41 ± 0.82 mg eq per 100 g of soil, and hydrolytic acidity was 8.66 ± 0.77 mg eq per 100 g of soil. The organic matter (humus) content was 1.62 ± 0.07%. The soil was characterized by low concentrations of mineral nutrients, including ammonium nitrogen (0.63 ± 0.03 mg kg
−1), nitrate nitrogen (1.10 ± 0.07 mg kg
−1), and available phosphorus (1.17 ± 0.09 mg kg
−1).
2.2. Experimental Design
A laboratory experiment was conducted to investigate the influence of nitrogen amendments and temperature on the degradation of petroleum hydrocarbons in soil.
Crude oil from the Fedorovskoye oil field (Khanty–Mansi Autonomous Okrug–Yugra, Russia), classified as light oil with a density of 0.818 g cm−3, was used to artificially contaminate the soil. Three contamination levels were established: 25, 50, and 100 g kg−1 relative to the dry soil mass. These contamination levels were selected to represent a wide experimental range, including heavily contaminated scenarios typical for accidental spills and legacy pollution sites, and to evaluate system response under conditions where physicochemical and biological limitations may become pronounced. After contamination, the soil samples were thoroughly mixed manually using a stainless-steel spatula in glass containers until visually homogeneous distribution of oil was achieved.
For each contamination level, the soil was divided into seven treatment groups, including one control without nitrogen amendment and six treatments with nitrogen-containing fertilizers. Two nitrogen sources were used: urea applied at 10, 25, and 50 g kg−1 of soil; ammonium nitrate applied at 5, 15, and 30 g kg−1 of soil. Urea (pure for analysis; Khimreaktivsnab, Ufa, Russia) and ammonium nitrate (pure for analysis; Khimreaktivsnab, Ufa, Russia) were used. The selected dosages were designed to cover a broad experimental range exceeding typical agronomic application rates in order to identify dose-dependent effects under controlled laboratory conditions.
After preparation of the experimental variants, the samples were divided into two groups and incubated under two temperature regimes: warm conditions: 20–25 °C; cold conditions: 6–8 °C. These temperature regimes were selected to simulate warm and cold seasonal conditions typical of the study region. Samples were incubated in loosely covered glass containers to allow gas exchange under aerobic conditions. Soil moisture was maintained at approximately 60% of water holding capacity by periodic addition of distilled water. All samples were incubated in temperature-controlled chambers without forced aeration. The soil was not sterilized prior to incubation, and all experiments were conducted under natural microbial conditions.
In total, the experimental design included 42 experimental variants (3 contamination levels × 7 nitrogen treatments × 2 temperature regimes). The structure of the experimental design is summarized in
Table 1.
The selected nitrogen dosages were intended to cover a broad experimental range in order to detect treatment-dependent responses across different contamination levels under controlled laboratory conditions. These dosages should therefore be interpreted as experimental levels for comparative evaluation rather than as direct recommendations for field-scale application.
2.3. Characterization of Crude Oil
The crude oil used for artificial contamination was characterized using Fourier-transform infrared spectroscopy (FTIR) (Shimadzu IRAffinity-1S, Kyoto, Japan) with attenuated total reflectance (ATR). Spectra were recorded in the range of 400–4000 cm−1 with 16 scans.
Based on the obtained spectra, aromaticity, oxidation, sulfurization, and paraffinicity coefficients were calculated from the ratios of optical density values in characteristic absorption regions [
16]. These parameters were used to characterize the structural composition of the hydrocarbon mixture.
The analyzed oil had a density of approximately 0.818 g cm−3 and corresponded to light crude oil.
2.4. Determination of Petroleum Hydrocarbon Content
The concentration of petroleum hydrocarbons in soil samples was determined using a fluorometric method with a Fluorat-02-5M fluorometric analyzer (Lumex Instruments, Sankt-Peterburg, Russia) [
17].
Prior to analysis, soil samples were air-dried, homogenized, and sieved through a 1 mm mesh. A weighed portion of 1.00 ± 0.01 g (dry weight) of soil was extracted with 10 mL of hexane in a glass conical flask using mechanical shaking at 200 rpm for 15 min. All extraction and handling procedures were performed using glassware to minimize potential adsorption of hydrocarbons onto plastic materials. The extract was filtered through filter paper and transferred into a 25 mL volumetric flask. The extraction vessel and filter were rinsed with additional hexane, and the combined extract was adjusted to the final volume.
Fluorescence intensity was measured using the fluorometric analyzer, and the concentration of petroleum hydrocarbons was calculated based on calibration data.
The mass concentration of petroleum hydrocarbons in soil (X) was calculated according to the following equation: X = (C
meas × V × K) / m, where C
meas is the hydrocarbon concentration in the extract (mg dm
−3), V is the extract volume (dm
3), K is the dilution coefficient, and m is the soil sample mass (g) [
17].
2.5. Determination of Culturable Microorganisms
The abundance of culturable microorganisms was determined using the plate count method [
18].
For microbiological analysis, soil suspensions were prepared by adding 1 g of soil to 9 mL of sterile distilled water to obtain the initial dilution (10−1). A series of decimal dilutions was then prepared.
Aliquots from appropriate dilutions were inoculated onto a solid synthetic nutrient medium containing (g L−1): Na2HPO4—4.5; KH2PO4—3.0; (NH4)2SO4—1.0; MgSO4—0.25. After incubation, colonies were counted and expressed as colony-forming units (CFU) per gram of soil. It should be noted that this method provides an estimate of culturable heterotrophic microorganisms capable of growth under the given conditions and does not allow strict selective quantification of hydrocarbon-degrading populations.
The number of microorganisms was calculated using the following equation: N = c/((n
1 + 0.1n
2) × d), where c is the total number of colonies counted, n
1 and n
2 are the numbers of plates at the first and second dilutions, and d is the dilution factor [
19].
2.6. Statistical Analysis
Statistical analysis of the experimental data was performed using Microsoft Excel 2010 (Microsoft Corp., Redmond, WA, USA). Arithmetic mean values and standard deviations were calculated based on three independent replicates (n = 3) for each experimental variant. Differences between selected treatments were evaluated using Student’s t-test (p < 0.05). Because the study included multiple experimental factors, the statistical analysis was used primarily to support pairwise comparisons and trend identification rather than to provide a full factorial decomposition of main and interaction effects.
3. Results
3.1. Characterization of the Crude Oil Used for Soil Contamination
The crude oil used for artificial contamination was characterized by FTIR. The infrared spectrum of the oil is presented in
Figure 1. The spectrum exhibits characteristic absorption bands typical of petroleum hydrocarbons.
Based on the FTIR spectrum, several structural coefficients describing the group composition of the oil were calculated (
Table 2). The aromaticity coefficient (D1600/D720) was 0.342, indicating the presence of aromatic hydrocarbons in the oil composition. The oxidation coefficient (D1710/D1465) was 0.073, while the sulfurization coefficient (D1030/D1465) was 0.169. The paraffinicity coefficient ((D720 + D1380)/D1600) reached 7.437, suggesting a relatively high contribution of paraffinic hydrocarbons.
The analyzed oil had a density of 0.818 g cm−3, corresponding to light crude oil. Overall, the hydrocarbon mixture was characterized by the predominance of aliphatic hydrocarbons with moderate aromatic content and relatively low sulfur levels. These properties were considered when interpreting the degradation dynamics observed during the soil incubation experiments.
3.2. Natural Dynamics of Petroleum Hydrocarbon Concentration in Soil
The natural dynamics of petroleum hydrocarbon concentration were first evaluated in control variants without nitrogen amendments. The first experimentally measured petroleum hydrocarbon concentrations were obtained on day 2 after contamination and homogenization and were used as the initial reference values in the study.
Under warm incubation conditions (20–25 °C), a gradual decrease in hydrocarbon concentration was observed for all contamination levels (
Figure 2a). During the initial stage, the relative decrease in hydrocarbon content followed the sequence: 25 g kg
−1 > 50 g kg
−1 > 100 g kg
−1.
However, after 30 days of incubation, the trend temporarily changed, with the largest relative decrease recorded at the highest contamination level (100 g kg−1). By the end of the 60-day observation period, the original pattern was restored, and the greatest relative reduction was again observed for the lowest contamination level.
Under cold incubation conditions (6–8 °C), the reduction in petroleum hydrocarbon concentration was substantially slower (
Figure 2b). In most cases, the decrease did not exceed 3–4% during the observation period. The influence of the initial contamination level on degradation dynamics was also less pronounced than under warm conditions.
These results demonstrate that temperature was a key factor controlling the natural attenuation of petroleum hydrocarbons in sandy podzolic soil.
3.3. Effect of Urea on Petroleum Hydrocarbon Degradation
The addition of urea stimulated petroleum hydrocarbon degradation.
Figure 3 summarizes the kinetics of the residual petroleum hydrocarbon concentration at the 50 g kg
−1 contamination level for the control and all tested urea dosages under warm and cold incubation conditions.
At a dosage of 10 g kg−1, a moderate decrease in hydrocarbon concentration was observed during incubation. Under warm conditions, the reduction was most noticeable for the intermediate contamination level (50 g kg−1). Under cold conditions, the degradation dynamics were considerably weaker.
During the 60-day incubation period, increasing the urea dosage to 25 g kg−1 further enhanced hydrocarbon degradation across most experimental variants.
The highest tested dosage of 50 g kg−1 urea resulted in the most pronounced reduction in hydrocarbon concentration among the urea treatments. At the 50 g kg−1 contamination level under warm conditions, the residual petroleum hydrocarbon concentration decreased by approximately 20–35% relative to day 2 in the 10, 25, and 50 g kg−1 urea treatments, respectively. Under cold conditions, the corresponding reductions were limited to 6.8%, 10.1%, and 8.6%. In the highest-dose treatment under warm conditions, the hydrocarbon concentration decreased from 46.39 g kg−1 on day 2 to 29.88 ± 1.46 g kg−1 after 60 days.
Under cold incubation conditions, the effect of urea remained weaker across all contamination levels, with most of the reduction occurring during the first month of incubation.
These results indicate that the observed effectiveness of urea-based biostimulation depended substantially on the temperature and initial contamination level under the tested laboratory conditions.
3.4. Effect of Ammonium Nitrate on Petroleum Hydrocarbon Degradation
Ammonium nitrate also stimulated petroleum hydrocarbon degradation.
Figure 4 summarizes the kinetics of residual petroleum hydrocarbon concentration at the 50 g kg
−1 contamination level for the control and all tested ammonium nitrate dosages under warm and cold incubation conditions. At a dosage of 5 g kg
−1, hydrocarbon degradation was already enhanced relative to the control, particularly under warm incubation conditions. Increasing the dosage to 15 g kg
−1 resulted in a further reduction in hydrocarbon concentration.
The most pronounced degradation was observed at the highest dosage of 30 g kg−1 ammonium nitrate. At the 50 g kg−1 contamination level under warm conditions, the residual petroleum hydrocarbon concentration decreased by approximately 20–43% relative to day 2 in the 5, 15, and 30 g kg−1 ammonium nitrate treatments, respectively. Under cold conditions, the corresponding reductions were 7.3%, 7.6%, and 10.9%. In the highest-dose ammonium nitrate treatment under warm conditions, the residual petroleum hydrocarbon concentration reached 26.56 ± 1.29 g kg−1 on day 60.
Even under cold incubation conditions, ammonium nitrate showed a detectable stimulatory effect, although the magnitude of hydrocarbon degradation remained lower than that under warm conditions.
Overall, the data indicate that treatments with ammonium nitrate were generally associated with stronger reductions in petroleum hydrocarbon concentration than treatments with urea across the tested experimental variants.
3.5. Abundance of Culturable Microorganisms
To provide supporting microbiological context for the observed hydrocarbon degradation patterns, the abundance of culturable microorganisms was determined for the contamination level 50 g kg−1, which showed the strongest degradation effects in the experiment. No microbial abundance data were obtained for the 25 or 100 g kg−1 contamination levels. Microbial counts were determined on day 60 of the experiment. Differences in microbial abundance were observed between nitrogen-amended treatments and between temperature regimes. Therefore, these data should be interpreted as indicative rather than definitive evidence of microbial processes associated with the observed treatment response.
Under warm incubation conditions, nitrogen amendments were associated with higher numbers of culturable microorganisms compared with the control (
Figure 5a).
Under cold conditions, microbial abundance was generally lower, although the same trend of increased microbial counts in nitrogen-amended variants was observed (
Figure 5b).
The observed patterns in microbial abundance were qualitatively aligned with the degradation dynamics of petroleum hydrocarbons but do not establish a direct causal relationship. Because microbial counts were determined only on day 60 and only for the intermediate contamination level, these data should be interpreted as limited supportive evidence rather than as a comprehensive characterization of microbial mechanisms across the entire experimental design.
When the results obtained for all treatments were considered together, three main factors controlling petroleum hydrocarbon degradation were identified: incubation temperature, nitrogen form, and initial contamination level. Among these factors, temperature appeared to exert the strongest influence on degradation dynamics, whereas the form and dosage of nitrogen amendment determined the magnitude of the stimulatory effect. The most pronounced hydrocarbon removal was consistently observed at the intermediate contamination level (50 g kg−1), suggesting that both insufficient and excessive hydrocarbon loads may limit microbial degradation efficiency in sandy podzolic soils. Overall, the experimental results consistently indicated the following qualitative hierarchy of controlling factors under the tested conditions: temperature > nitrogen form and dosage > contamination level.
5. Conclusions
This laboratory factorial study showed that petroleum hydrocarbon degradation in sandy podzolic soil from Western Siberia was jointly influenced by temperature regime, nitrogen form, contamination level, and nitrogen dosage. Among these variables, temperature appeared to exert the strongest control on remediation efficiency, with substantially slower attenuation under cold conditions.
Both nitrogen amendments enhanced petroleum hydrocarbon removal relative to the untreated control, indicating that nutrient limitation constrained biodegradation in the studied soil. Within the tested laboratory range, ammonium nitrate was generally associated with stronger hydrocarbon removal than urea, particularly at the intermediate contamination level of 50 g kg−1. The accompanying increase in culturable microorganisms on day 60 was consistent with stimulation of the biological component of remediation, although the microbiological evidence remained limited in scope.
This study contributes new insight by comparing multiple controlling variables within one factorial experimental design for a sandy boreal soil system. At the same time, the results should be interpreted within the limitations of controlled laboratory conditions, simplified microbiological assessments, and pairwise statistical analysis. Therefore, further mechanistic studies and field-scale validation are needed before the tested treatment levels can be translated into practical remediation recommendations.