Next Article in Journal
Agricultural Product Price Forecasting Methods: A Review
Next Article in Special Issue
The Content, Uptake and Bioaccumulation Factor of Copper and Nickel in Grass Depending on Zinc Application and Organic Fertilization
Previous Article in Journal
The Use of Chosen Physicochemical Indicators for Estimation of Pork Meat Quality
Previous Article in Special Issue
The Environmental Tax Scheme in China’s Large-Scale Pig Farming: Balancing Economic Burden and Responsibility
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Biochar, Halloysite, and Alginite Improve the Quality of Soil Contaminated with Petroleum Products

Department of Soil Science and Microbiology, Faculty of Agriculture and Forestry, University of Warmia and Mazury in Olsztyn, Plac Łódzki 3, 10-727 Olsztyn, Poland
*
Author to whom correspondence should be addressed.
Agriculture 2023, 13(9), 1669; https://doi.org/10.3390/agriculture13091669
Submission received: 31 July 2023 / Revised: 18 August 2023 / Accepted: 21 August 2023 / Published: 24 August 2023
(This article belongs to the Special Issue Agricultural Environmental Pollution, Risk Assessment, and Control)

Abstract

:
Investigations into the effective, fast, and economically viable remediation of soils polluted with petroleum-derived products are still relevant. The vegetative pot experiment was conducted at the Didactic-Experimental Garden greenhouse (NE, Poland, 53.759° N, 20.452° E) on loamy sand (LS) and sandy loam (SL) soils. Its main research objective was to assess the effectiveness of biochar (B), halloysite (H) and alginite (A) in the biological regeneration of contaminated soil diesel oil (DO) and petrol (P). The assessment was conducted by determining the magnitude of the adverse impact of these xenobiotics on the growth and development of Zea mays, as well as the activity of seven soil enzymes. The impact of the tested contaminants and sorbents was assessed based on the impact factors (IF) of DO and P, as well as B, H, and A on Zea mays biomass and enzymatic activity of the soil. Soil contamination with petroleum-derived products disrupted the growth and development of Zea mays. DO had a stronger inhibitory effect on plant growth compared to P. Zea mays cultivated in LS, which was less resistant to the effects of these contaminants compared to that cultivated in SL. The impact of DO and P on enzyme activity depended on the soil texture. DO stimulated enzyme activity in LS and SL, while P only did so in LS. All remediation substances, and biochar in particular, led to an increase in plant biomass in the DO-contaminated soils. Both biochar, halloysite and alginite also improved the biochemical quality index (BA) of SL and LS. Despite the unquestionable remediation potential of the analyzed sorbents, their highest efficacy can only be achieved by their application on soils with physicochemical properties corresponding to their characteristics, which is a valuable guideline for further research.

1. Introduction

Viable techniques for the separation of petroleum-derived substances have long been a challenge in the oil industry [1,2,3,4]. Issues encountered during production, transportation, and storage have been regulated for years by the Seveso III Directive (2012/18/EU) [5], which sets provisions regarding hazard control. It obliges for entrepreneurs to obtain necessary permits, conduct audits, and monitoring. The Seveso III Directive (2012/18/EU) mandates that industrial facilities develop and implement a risk management system and take preventive actions to minimize the risk of major industrial accidents. Enterprises are also obliged to prepare emergency plans. It is important to note that obligations and regulations may vary among individual Member States of the European Union. Therefore, it is crucial for enterprises to comply with the regulations and guidelines stipulated by the relevant regulatory authorities in their respective countries [5].
Preventive actions are highly justified, due to the fact that soils contaminated with petroleum-derived products contain numerous toxic compounds such as benzene, toluene, xylene (BTEX) or polycyclic aromatic hydrocarbons (PAHs) [6]. They raise multiple concerns due to their hydrophobic nature, low biodegradability, and consequently high persistence in the soil environment [7]. This translates into disturbances in soil properties, such as mechanical properties, permeability, shear strength, texture, and porosity [8,9], fertility characteristics (N, P, and K contents) and its chemical properties (soil conductivity, pH, and organic matter content) [10]. Soil homeostasis disruption also reflects the plant’s response to the pressure of these pollutants. It involves changes in plant physiology and biochemistry, including reductions in plant biomass, chlorophyll, and root vitality [11,12]. These findings are consistent with the observed highly toxic impact of diesel oil on the growth and development of Avena sativa L. [13], Lolium perenne L. × hybridum, Poa pratensis, Festuca rubra, F. arundinacea, Phleum pratense, and Dactylis glomerata, with plants showing significantly greater sensitivity to petrol. Moreover, the plant species also influence the extent of degradation of individual PAH groups [14].
One of the techniques used to separate petroleum-derived substances from soil involves the use of minerals [15,16,17]. Iron- and calcium-rich minerals can react with pollutants in the soil binding and stabilize them, thus causing their immobilization [18,19]. Therefore, phytostabilization is a stage that can contribute to reducing the toxicity and availability of pollutants to living organisms by adsorbing pollutants on mineral surfaces [20,21,22]. This process leads to the formation of less toxic compounds. The coupling of phytostabilization and phytoextraction, which utilizes plants capable of accumulating contaminants, can yield even better results [23,24,25]. Hence, novel techniques are required for the effective protection of soil, water in the soil, and essential nutrients crucial for plants and microorganisms, ultimately leading to the enhancement of environmental quality.
Biochar, also known as plant charcoal or pyrolytic carbon, is a product obtained through the pyrolysis of biomass, involving its decomposition under limited oxygen conditions. It has been found capable of effectively mitigating the emission of toxic compounds [26]. Biochar exhibits immense potential in regulating soil properties and fertility, promoting microbial activity, and enhancing plant growth [26,27,28,29,30]. As described by Hamidzadeh et al. [26], biochar’s carboxylic acids and phenolic compounds, derived from biomass lignin, augment the specific surface area of biochar, enabling the elimination of pollutants and proper absorption and distribution of nutrients in the soil. Furthermore, by applying current environmental modifications to pyrolysis, soil pH and the efficacy of aromatic compounds in biochar can be improved [26,31]. Selvarajoo et al. [32] demonstrated that, apart from enhancing soil properties such as pH, biochar exerted positive effects on nutrient cycling, water retention, and exchangeable cations. It was also shown to enhance water-holding capacity, reduce soil density, nitrogen content, leaching of pesticide residues, and essential mineral loss [26,28,29,31]. Additionally, biochar can also act as a carrier for microorganisms, influencing various soil biological processes, such as organic matter decomposition and mineral transformation [30,33]. This sorbent increases the mobility of anionic toxic elements [34]. Due to its porous structure, biochar can adsorb and retain organic pollutants [35,36], heavy metals [37,38,39], and other harmful compounds [15].
Halloysite is a mineral that mainly consists of silicon dioxide and aluminium oxides [40]. Clay minerals, such as kaolin, bentonite, and halloysite, belong to the kaolinite-serpentine subgroup and are described by the general chemical formula Al2Si2O5(OH)4. These clay silicate minerals are utilized as fuel additives for the thermal conversion of biomass and waste [41]. They are currently used in the energy sector to mitigate the risk of ash deposition and high-temperature corrosion in low-quality fuels such as biomass and waste. Maj and Matus [41] demonstrated that the use of clay silicates minimized combustion-related issues by immobilizing alkalis in highly volatile compounds. In turn, Masoudniaragh et al. [42] noted that the application of halloysite, particularly in agricultural fields, could lead to increased production. Additionally, according to these authors, halloysite can act as a carrier for biostimulants or bioactive components, which may contribute to their improved stability. In the study conducted by Masoudniaragh et al. [42], halloysite proved effective as a carrier of pyroligneous acid in mitigating the effects of soil salinity.
The application of alginite, similar to biochar, influences an increase in water retention capacity [43,44]. Consequently, soil amended with alginite becomes more drought-resistant, and plants have access to water for a longer period. Alginite, as a natural rock, contains essential nutrients such as macro- and micronutrients [45,46]. By adding alginite to the soil, these nutrients can be supplied to plants, leading to their healthier growth, increased productivity and condition [47,48,49]. Zhao et al. [43,50] observed that alginite significantly reduces the activity of stress enzymes, catalase, and peroxidase, indicating potential damage to the plant’s defense system. This natural, ecological, and versatile polymer is commonly used as a carrier for microbial cultures, mainly Pseudomonas and Azotobacter [51,52]. Alginite has the ability to regulate soil pH. It acts as a natural buffer, helping to maintain the optimal pH for plant growth. If the soil is too acidic or alkaline, the addition of alginite can assist in balancing and maintaining the optimal pH [53].
The described properties of the sorbents have prompted authors to formulate a research hypothesis that biochar, halloysite, and alginite are effective in the bioremediation of soil contaminated with petroleum-derived products. Therefore, a study was conducted with the aim to assess the applicability of these environmentally friendly materials in mitigating the adverse effects of diesel oil and petrol on the growth and development of Zea mays, as well as the activity of soil enzymes belonging to the oxidoreductase and hydrolase classes. For the phytoremediation of soils contaminated with petroleum-derived products, it was decided to utilize a popular crop that is distributed worldwide [19], with its cultivation area steadily increasing [54,55] characterized by a short life cycle [56,57]. The implementation of this defined objective allowed evaluating of the effectiveness of biochar, halloysite, and alginite in enhancing the quality of soils contaminated with petroleum-derived products.

2. Materials and Methods

2.1. Material Characteristics

2.1.1. Soil

Two soils with different textures were utilized, loamy sand (LS) and sandy loam (SL), in the vegetative pot experiment conducted in the greenhouse. They were selected for the study as sandy soils occupy approximately 50% of the agricultural land in Poland [58]. Based on the classification by the International Union of Soil Sciences [59], they were classified as Eutric Cambisols. LS and SL were collected from the top layer (0–0.20 m) of a field located in northeastern Poland (NE, Poland, 53,713° N, 20,432° E), where winter oilseed rape was cultivated. The soils were then transported to the greenhouse and air-dried. The soil used for the vegetative experiment was sieved through a 5 mm mesh sieve, while the soil used for the basic physico-chemical, chemical, and biochemical analyses was sieved through a 2 mm mesh sieve. A detailed characterization of the soils is presented in Table 1.

2.1.2. Plant

Zea mays PR39H32 (variety registered in the European Union) easily adapts to unfavorable environmental conditions. An additional advantage for the utilization of Zea mays in the study was the fact that its biomass can be used in alternative energy production [60,61,62].

2.1.3. Petroleum-Derived Products

The latest generation fuels meeting European requirements for sulfur-free fuels were used as the contaminating substances: VERVA diesel oil (DO) and VERVA 98 petrol (P). The density of diesel oil ranges from 820–845 kg m−3, whereas that of petrol ranges from 720–775 kg m−3. Both products were purchased from a PKN Orlen fuel station (Poland), and their detailed characteristics can be found on the website http://www.orlen.pl/ (accessed on 20 May 2021).

2.1.4. Sorbents

The vegetative experiment, aiming to reduce the mobility of petroleum-derived products in soil and neutralize their impact on the growth and development of Zea mays, as well as the biochemical properties of the soil, was conducted with three substances with sorptive properties: biochar (Fluid, Sędziszów, Poland), halloysite (Halosorb minerals sorbents, Intermark, Gliwice, Poland), and alginite (Vázsony-Szövetkezeti Kft., Nagyvázsony Hungary). Biochar is produced through the pyrolysis of various raw materials under limited oxygen conditions [47,63,64]. The biochar used in the study was produced from the biomass waste of willow and miscanthus. Halloysite (Al2Si2O5(OH)4) is a clay mineral from the kaolinite group characterized by high porosity (pore diameter of 10–20 nm). The halloysite used in the experiment was extracted from the Dunino mine, which is the only deposit of this mineral in Europe and one of three worldwide [47,65]. Alginite is a naturally occurring mineral from the liptinite group, formed from fossilized algal biomass and weathered tuffs. Its pH ranges from 7.15 to 7.78. A comprehensive characterization of biochar and halloysite was presented in our previous publications [38,39,47], and alginite [17,47] was also previously described.

2.2. Research Design

The pot experiment was conducted in the greenhouse of the University of Warmia and Mazury in Olsztyn (NE, Olsztyn, Poland, 53.759° N, 20.452° E) with 5 replications. The procedure for setting up and conducting the experiment was as follows:
(1)
Preparation of 2.5 kg of LS or SL soils whose characteristics are presented in Table 1.
(2)
Soil amendment with:
  • N, P, K and Mg in the following amounts (mg kg−1 dm of soil): 112, 39, 112 and 15, respectively. Nitrogen was applied as N2H4CO, phosphorus as—KH2PO4, potassium as—KH2PO4 and KCl, and magnesium as—MgSO4 × 7H2O;
  • petroleum-derived products: diesel oil (DO) and petrol (P) at a rate of 0 and 7 cm3 kg−1 dm of soil;
  • sorbents: biochar (B), halloysite (H) or alginite (A) at a rate of 0 and 10 g kg−1 dm of soil.
(3)
Mixing the soils was conducted with mineral fertilizers and, in appropriate treatments, with petroleum-derived products and sorbents. The soil was packed into polyethylene pots with a capacity of 3.0 dm3 (upper base diameter: 18.5 cm; lower base diameter: 14 cm; height: 15 cm) and the soil moisture was adjusted to 60% of the maximum water-holding capacity. This moisture level was maintained throughout the entire plant growth period (60 days).
(4)
Sowing 8 Zea mays seeds and leaving 5 plants in each pot after germination.
(5)
Harvesting the aerial and root parts of Zea mays at the Biologische Bundesanstalt, Bundessortenamt and Chemical (BBCH) stage 59. On the same day as the plant harvest, soil samples were collected for biochemical analyses. These samples were sieved through a 2.0 mm mesh sieve.

2.3. Methodology for Physico-Chemical and Chemical Determinations

Prior to the experiment setup, using the methods described in our previous studies [66,67], the soil texture was determined using the aerometric method, and pH was measured in a 1 mol KCl dm−3 solution using a potentiometric method with an HI 2221 m (Hanna Instruments, Washington, UK) in three replicates of air-dried soils. Additionally, the sum of exchangeable base cations (EBC) and hydrolytic acidity (HAC) were determined, based on which the cation exchange capacity (CEC) and alkaline cation saturation (ACS) were calculated. The chemical properties of the soil were assessed by determining the contents of total nitrogen (Ntot), organic carbon (Corg), and available P, K, and Mg. The Buchi B-324 distillation unit (Buchi, Flawil, Switzerland), Jenway 6705 UV/VIS spectrophotometer (Jenway Ltd., Staffordshire, UK), Jenway PFP 7 flame photometer (Jenway Ltd., Staffordshire, UK), and GBC 932AA atomic absorption spectrophotometer (GBC Scientific Equipment, Braeside, Australia) were used for these analyses.

2.4. Methodology for Determining Soil Enzyme Activities

Before the initiation of the vegetation experiment and after the harvest of Zea mays, the activities of dehydrogenases (Deh), catalase (Cat), and β-glucosidase (Glu) were used as indicators of the carbon cycle, urease (Ure) as an indicator of the nitrogen cycle, acid phosphatase (Pac) and alkaline phosphatase (Pal) as indicators of the phosphorus cycle, and arylsulfatase (Aryl) as an indicator of the sulphur cycle, and were determined using specific enzyme assay procedures (buffers, incubation times, termination of reactions, and temperature) described in our previous studies [37,67], in soils with a moisture content of approximately 60% of the maximum water-holding capacity (three replicates). The activities of Deh, Ure, Pac, Pal, Glu, and Aryl were measured using a Perkin-Elmer Lambda 25 spectrophotometer (Waltham, MA, USA).

2.5. Calculations

By considering the biomass of Zea mays’ aerial and root parts, as well as the activity of seven enzymes involved in C, N, P, and S metabolism, in both uncontaminated and petroleum-contaminated soils supplemented and non-supplemented with of biochar (B), halloysite (H), and alginite (A), the Impact Index (IF) of DO, P, and Ad on these parameters was determined using Formulas (1)–(4).
IF DO = D O C 2 1   or   IF P = P C 2 1
where:
  • IF—impact index of DO or P,
  • DO—biomass of Zea mays or the activity value of the tested enzyme in DO-contaminated soil or P-contaminated soil without Ad,
  • C2—biomass of Zea mays or the activity value of the tested enzyme in the control soil uncontaminated by DO or P without Ad.
IF Ad = A d _ C 2 C 2 1
where:
  • IF—impact index of sorbents: B, H or A,
  • Ad_C2—biomass of Zea mays or the activity value of the tested enzyme in the control soil uncontaminated by DO or P with the addition of Ad (B, H, A),
  • C2—the explanation is provided in formula number 1.
IF Ad _ DO = A d _ D O D O 1
where:
  • IFAd_DO—impact index of sorbents: B, H lub A in soil contaminated DO,
  • Ad_DO—biomass of Zea mays or the activity value of the tested enzyme in DO-contaminated soil with the addition of Ad (B, H, or A),
  • DO—biomass of Zea mays or the activity value of the tested enzyme in DO-contaminated soil without Ad.
IF Ad _ P = A d _ P P 1
where:
  • IFAd_P—impact index of sorbents: B, H lub A in soil contaminated P,
  • Ad_P—biomass of Zea mays or the activity value of the tested enzyme in P-contaminated soil with the addition of Ad (B, H, or A),
  • P—biomass of Zea mays or the activity value of the tested enzyme in P-contaminated soil without Ad.
The above indexes can range from −1 to 1. An index of 1.00 indicates a 100% increase in the value of the measured parameter, whereas −1.00 represents a 100% decrease in its value. The indexes were presented on heat maps using RStudio 2023.06.0 [68] software with R 4.2.2 [69] and the gplots library [70].
Based on the activities of the analyzed enzymes, the soil quality index (BA) was calculated using formula number 5:
BA = Deh + Cat + Ure + Pac +Pal + Aryl + Glu
The BA index of soil quality assessment has been recognized as one of the most reliable, composite indicators of soil fertility from the pool of 21 indicators determining the condition of the soil. This is justified by the fact that it takes into account the activity of as many as seven soil enzymes presented in the formula, recognized not only as very sensitive indicators of early processes indicating the disturbance of soil equilibrium under the pressure of xenobiotics, but also indicators of the intensity of biological processes related to the physicochemical properties of soils [71].

2.6. Statistical Analyses

η2 coefficients were calculated and presented in a pie chart created using the Circos 0.68 package [72]. Principal Component Analysis (PCA) was performed to highlight the interdependencies between the data. The Shapiro–Wilk test was used to check for data normality. Statistical analysis, conducted separately for each tested soil, was carried out using the Tukey test with a significance level of p < 0.05. Standard deviations (SD) were also calculated for the yield of aerial parts and roots of Zea mays and for soil enzyme activity [73].

3. Results

3.1. The Biomass Yield of Zea mays under the Influence of Diesel Oil, Petrol, Biochar, Halloysite, and Alginite

Soil contamination with both DO and P had an adverse effect on the growth and development of Zea mays. However, plant response varied depending on the type of petroleum product and the soil texture (Table 2).
DO had a stronger inhibitory impact on the growth of the aerial parts and roots of Zea mays compared to P (Figure 1a,b). This effect was observed in both loamy sand (LS) and sandy loam (SL). Under DO pressure, the biomass of aerial parts and roots of Zea mays in LS was reduced by 88.0% and 81.2%, respectively, whereas in SL it was reduced by 39.8% and 46.7%, respectively. As a result of the different effects of DO and P in LS and SL, higher values of the aerial parts-to-root biomass ratio were determined in Zea mays grown in SL compared to LS. When P was added to both LS and SL, it had a significantly smaller disruptive effect on the growth of Zea mays, as indicated by the higher IFP values compared to IFDO (Figure 1a,b). Specifically, the IFB values of the aerial parts of Zea mays in LS and SL were higher by 0.700 and 0.306, respectively, whereas the values for roots were higher by 0.586 and 0.138, respectively.
In both soils not exposed to petroleum products, two out of the three sorbents (biochar and halloysite) among biochar, halloysite, and alginite induced the growth of the aerial parts and roots of Zea mays (Table 2, Figure 1a,b).
The greatest increase in the aboveground biomass (17.6%) was observed with the application of halloysite in LS, whereas for roots, the highest increase (25.0%) was observed with biochar, also in LS. Generally, the effectiveness of these sorbents was more pronounced in LS compared to SL.
The assessment of biochar, halloysite, and alginite for effectiveness in mitigating the toxic impact of DO and P revealed their potential in alleviating the adverse impact of petroleum products on the yield of Zea mays. However, this potential varied depending on contaminant type and soil texture. In LS, the effects of all sorbents on the yield of aerial parts and roots were significantly higher in the case of DO-contaminated soil compared to the P-contaminated soil, whereas in SL, such effects were only observed for the aboveground biomass (Table 2). These findings were supported by the influence indices of individual sorbents on the aboveground and roots biomass of Zea mays, which consistently showed positive values in DO contaminated LS and SL. Positive values were observed only in LS and SL supplemented with biochar, as well as LS supplemented with alginite in P-contaminated soils (Figure 1a,b).

3.2. Changes in Soil Enzyme Activity under the Influence of Diesel Oil, Petrol, Biochar, Halloysite, and Alginite

The contamination of LS and SL soils with petroleum products resulted in a significant destabilization of the enzymatic properties of the soils, as shown in Table 3 and Table 4 and Figure 2 and Figure 3. The response of the enzymes to these pollutants varied depending on soil type. In LS, both DO and P stimulated the activity of Deh, Cat, Ure, Pac, and inhibited Glu and Aryl (Table 3), whereas in SL, they stimulated Pac and Glu activity (Table 4). The response of the other enzymes differed depending on contaminant type. In LS, DO significantly stimulated the activity of Pal, whereas in SL, it enhanced the activity of Deh, Cat, Ure, Pal, and Aryl. On the other hand, P decreased the activity of these enzymes. The response of soil enzymes to the application of sorbents to the soil not exposed to petroleum products was determined by multiple independent variables (Table 3 and Table 4, Figure 2 and Figure 3). Biochar, halloysite, and alginite significantly increased Deh activity (IF values were 0.538, 0.735, 0.385, respectively), Ure activity (IF—1.631, 3.269, 2.719), Pac activity (IF—0.245, 0.113, 0.098), and Aryl activity (IF—0.105, 0.067, 0.374) in LS. In SL, they significantly enhanced Pac activity (IF—0.522, 0.361, 0.397) and inhibited Cat activity (IF −0.379, −0.427, −0.410). Additionally, in LS, biochar induced Cat activity (IF 0.084) and Glu activity (IF 0.075), and halloysite induced Glu activity (IF 0.151), while in SL, Ure activity was stimulated by alginite (IF 0.227) and inhibited by biochar (IF −0.366).
Sorbents exhibited different effects on enzyme activity in the heavier soil contaminated with DO and P (Figure 3). In the DO series, Cat activity was significantly suppressed by all sorbents, while Ure and Aryl activities were reduced only by biochar. In the soil amended with P, the inhibitory effect of biochar was noted for Deh (IF −0.182) and Pac (IF −0.037), that of halloysite on Pal (IF −0.093), and that of alginite on Cat (IF −0.251). Conversely, in the soil contaminated with DO, biochar exhibited a stimulating effect on Pac (IF 0.175) and Pal (IF 0.078) activity, while P stimulated Ure (IF 0.142) and Glu (IF 0.079) activity. Halloysite increased the activity of Deh (IF 0.084) and Ure (IF 0.300) in the soil samples with DO and that of Ure (IF 0.142), Pac (IF 0.345), and Glu (IF 0.358) in the objects with P. Alginite enhanced Ure (IF 0.245–0.187) and Pac (IF 0.134–0.581) activity in the soil with DO and P, as well as Deh (IF 0.385) and Pal (IF 0.179) activity in the SL with DO, and Glu (IF 0.181) activity in P-treated soil.
The changes in soil enzyme activity observed under the influence of petroleum products and sorbents were reflected in the biochemical soil quality index (BA), which was 11.819 in LS and 14.563 in SL (Figure 4).
In the LS, both DO and P increased the BA value, while in SL, only DO exerted this effect. In the LS, all sorbents applied to the uncontaminated soil significantly increased the BA value, whereas only alginite exerted this effect in the SL. The greatest changes in the BA index in soil contaminated with DO were observed under the influence of halloysite and alginite, which increased the BA value by 6.4% to 39.5% in LS and by 8.3% to 27.4% in the SL. The sorbents tested for their effect on P caused significantly smaller fluctuations in the BA index in the experimental series.

3.3. Correlations between Zea mays Biomass and Soil Enzyme Activity—Independent Variable Analysis and PCA

The analysis of independent variables (η2) indicates that, in both soils, enzyme activity was mainly determined by soil contamination with petroleum products (Figure 5). An exception was the activity of Ure in LS, which was more dependent on soil amendment with sorbents than its contamination with DO and P. In LS, DO and P predominantly determined the activity of Pal (94.98% and 95.25% respectively), while sorbents influenced Ure activity (59.27% in LS) and Cat activity (35.00% in SL) to a greater extent. The biomass of the aerial parts of Zea mays in LS was primarily influenced by DO and P to a significant extent (97.51%), followed by root biomass (84.73%), whereas in SL, the influence was 91.28% and 47.08% respectively. Sorbents, on the other hand, influenced the above-ground biomass by 0.37% and 9.57% in LS and 3.01% and 24.25% in SL.
PCA analysis, considering all sorbents (B, H, and A) as well as petroleum products (DO and P), was performed separately for LS (Figure 6a) and SL (Figure 6b). In LS, positive correlations were observed between the activities of Pac and Pal with Cat, as well as Deh with Ure and Glu. In SL, Pal was correlated with Deh; Cat, and Ure; Aryl with Deh; Ure, and Pal, Deh with Ure, and Glu with Pac (Figure 7). Significant negative correlations were found between Cat, Pac, and Pal activities with the biomass of the aerial parts and roots of Zea mays in LS, as well as between Deh, Cat, Ure, Pal, and Aryl activities with the biomass of the aerial parts in SL. In both soils, DO had a greater destabilizing effect on Zea mays growth compared to P, resulting in a lower biomass yield of this plant (Figure 6a,b). The independent variables formed three groups: one in the soil not exposed to the pressure of petroleum products, the second in the soil with DO, and the third in the soil with P.

4. Discussion

4.1. Response of Zea mays and Soil Enzymes to Soil Contamination with Petroleum-Derived Products

The toxicity of petroleum-derived substances determines the quality of soils as well as the health of plants, animals, and even humans [20,22,74,75]. Therefore, the remediation of soil contaminated with organic compounds poses a challenge for scientists and practitioners [76,77,78], considering that there are approximately 2.8 million sites contaminated with diesel fuel, petrol, mineral oils, and heating oil in Europe alone [79]. Bica [80] estimates that the number of these sites will continue to increase. Therefore, the classification of contaminated areas into risk classes [80,81] and the selection of appropriate remediation measures are crucial for the restoration of these soils [82,83,84]. When choosing a remediation method, the type and extent of contamination, soil texture, size of the contaminated area, and its economic purpose use should be taken into account [85,86]. Therefore, the plants can play an invaluable role in mitigating potential hazards associated with the impact of petroleum-derived products [14,86,87]. They have the ability to eliminate organic pollutants through the acceleration of their degradation by microorganisms inhabiting the rhizosphere [14,88,89]. For successful phytoremediation, plants, especially those from the Poaceae family, should adapt well to the contaminated environment, be easy to cultivate, and produce a high biomass [89,90]. Worldwide research on phytoremediation potential [14,86,91] demonstrates that leguminous plants belonging to the Fabaceae family [85] and plants belonging to the Poaceae family [14,92,93,94,95] are most effective in degrading petroleum hydrocarbons in contaminated soils. All these plants have well-developed root systems capable of reaching deep soil layers where petroleum pollutants can accumulate [96,97,98]. The success of these plants in phytoremediation relies on the synergistic cooperation between plant roots and microorganisms inhabiting the rhizosphere [99], which participate in the breakdown and degradation of petroleum compounds [14,23]. Bacteria, fungi, and protozoa are the main producers of enzymes in the soil [100]. They secrete enzymes involved in the breakdown and degradation of organic compounds into simpler forms, releasing nutrients.
In the present research, we utilized Zea mays, belonging to the Poaceae family, whose biomass obtained from areas contaminated with organic compounds can be used for bioenergy production [62,101]. In our studies, both diesel oil and petrol disrupted the growth and development of Zea mays, although to varying degrees. The use of plants, particularly Poaceae, for the remediation of soils contaminated with petroleum substances offer a viable remediation strategy [85,102,103]. Diesel fuel and petrol containing aromatic hydrocarbons, benzene, toluene, and other toxic compounds, can exhibit strong phytotoxic effects [74]. The adverse impact of petroleum-derived products on plants, as observed in the present study, could be attributed to the reduction in nutrient levels and available water for plants, as well as disturbances in nutrient uptake [85,104], leading to oxidative stress in plants resulting from the overproduction of reactive oxygen species (ROS) impairing the synthesis of amino acids, enzymes, and proteins [105,106]. Dian et al. [104] and Meudec et al. [107] highlight the negative influence of hydrocarbons and heavy metals contained in petroleum-derived products on the reduction of chlorophyll levels and inhibition of photosynthesis. The extent of the impact of the tested petroleum-derived products in our studies, which are mixtures of organic compounds primarily composed of hydrogen and carbon atoms, as well as smaller amounts of nitrogen, oxygen, sulfur, and trace amounts of metallic components [108,109] on the growth and development of Zea mays, was determined by contaminant type and soil texture. Diesel oil exhibited more toxic effects on plants compared to petrol.
According to Al-Rubaye et al. [75], the toxicological effects of hydrocarbons depend on their molecular weight. Toxic substances present in diesel fuel can also increase the concentration of heavy metal salts [102,110,111], negatively affecting populations and activity of soil microorganisms, which play a significant role in the nutrient cycling and biological processes in the soil [4,67,74,103,112,113]. These changes can have an adverse impact on root development and the absorption of nutrients by plants. Compounds present in diesel fuel can therefore cause metabolic dysfunctions in plants, leading to their growth inhibition [85]. Since hydrocarbons persist in ecosystems for a long time, they can accumulate in animal and plant tissues, transferring from one trophic level to another in the food chain, causing death or genetic mutations. The interaction between petroleum-derived products and plants, as well as the soil enzyme activity, depends on the soil particle size distribution [67,87,112]. The present study results demonstrated that diesel fuel and petrol had significantly less disruptive effects on the growth of Zea mays cultivated on sandy loam compared to loamy sand. In loamy sand, both products increased the value of the biochemical soil quality index, which reflects the activity of seven enzymes, whereas in sandy loam, only diesel fuel did so. The differences in the effects of petroleum-derived products on soils with different agronomic categories arise from changes in the bioavailability of these products in individual soils [114,115].

4.2. The Role of Sorbents in Improving the Quality of Soil Contaminated with Petroleum-Derived Products

In recent years, there has been an intensive development of methods supporting the phytoremediation of soils contaminated with petroleum-derived compounds [90]. A modern approach to soil restoration under the pressure of organic compounds not only focuses on the use of biostimulation, bioaugmentation, and the application of biosurfactants [116], but also necessitates the search for newer remediation compounds. In our research, biochar, halloysite, and alginite were applied to enhance the phytoremediation potential. The higher impact indices noted for biochar, halloysite, and alginite in the soil exposed to DO pressure than P are a due to the stronger negative influence of DO on Zea mays biomass in both soils compared to P, as well as the unique properties of sorbents such as large surface area, porosity, carbon content, and increased water-retention capacity [43,44,90].
These properties of biochar, halloysite, and alginite induced an increase in the activity of dehydrogenases, catalase, urease, alkaline phosphatase, β-glucosidase, and arylsulfatase in loamy sand, as well as acidic and alkaline phosphatases in sandy loam. As a result of our research, a negative correlation was observed between Zea mays yield and soil enzymatic activity, most likely due to the negative, toxic interaction of petroleum-derived pollutants with plants. This negative correlation explains the positive response of Zea mays cultivated on soils contaminated with petroleum products to the applied sorbents (biochar, halloysite, and alginite). The sorbents used may have contributed to the improvement of nutrient availability for plants. Disturbances in the development of Zea mays and soil enzymatic activity were mitigated by the applied sorbents, although their effects varied depending on the tested soil. All remediation substances resulted in increased plant biomass in soils contaminated with DO. This is likely due to the adsorption of nutrients on the surface or within the sorbents, thereby protecting them from leaching or oxidation in the soil. The successive release of nutrients in a controlled and plant-adapted manner contributed to improved nutrient availability for plants, thus supporting the degradation of pollutants. This concept is supported by studies conducted by Fahimizadeh et al. [117], Guopeng et al. [118], and Wang et al. [119]. The use of sorbents for the remediation of soil contaminated with petroleum-derived products in combination with plants can be highly valuable. Based on our own research, it was found that biochar, halloysite, and alginite can be recommended for remediating soils contaminated with petroleum products, especially in coarser-textured soils. Differences in plant and enzyme response to soil contamination with petroleum products are attributable to the variability in colloidal clay content, which plays a similar role in the soil as the tested sorbents. This explains the underlying mechanism of the positive influence of sorbents on the development of Zea mays and enzyme activity in loamy sand. According to Zhang et al. [120], phosphorus-enriched biochar has great potential for use as a soil fertilizer. Additionally, Khosravi et al. [121] states that the use of biochar-based fertilizers can prevent nutrient leaching. The safe application of this sorbent is also supported by its certification based on two main credentials: the certification program of the Swiss-based European Biochar Certificate (EBC) [122] and the US-based International Biochar Initiative (IBI) [123].

5. Conclusions

The study demonstrates a negative correlation between the yield of Zea mays and soil enzymatic activity, which was mainly caused by the toxic effect of diesel oil and petrol on this crop. The magnitude of disturbances in the growth and development of Zea mays was determined by the type of contaminant and the texture of soils. Diesel oil exerted a more toxic effect on plants than petrol. Both pollutants caused greater disturbances in the development of aerial parts and roots of plants grown in loamy sand soils compared to sandy loam soils. This finding explains the positive response of Zea mays, cultivated in soils contaminated with petroleum-derived products, to the applied sorbents (biochar, halloysite, and alginite). All of these sorbents can be recommended for the remediation of soils contaminated with petroleum-derived products, especially in coarser-textured soils, as in the case of loamy sand, where they can improve enzymatic activity, as indicated by the magnitude of the biochemical soil quality index. The present study results demonstrate that combining the determination of biochemical indicators with the evaluation of plant responses to diesel oil and petrol pressure is a viable approach in soil quality assessment. The conducted research indicates that effective soil remediation depends on a thoughtful selection of a sorbent, based on the knowledge of its characteristics combined with well-defined physicochemical properties of the soil and the type of petroleum-derived substances. In the case of selecting the appropriate sorbent, one should consider its sorption capacity, ability to immobilize pollutants, biodegradability, and environmental impact. Simultaneously, we suggest that further research is necessary to better understand the successful phytoremediation processes, particularly regarding changes in soil microbiome quality, plants cultivated in contaminated areas, and the interactions between soil, plants, pollutants, and soil enzyme activity.

Author Contributions

Conceptualization, J.W., A.B., M.Z. and J.K.; Methodology, J.W., A.B., M.Z. and J.K.; Investigation, J.W. and A.B.; Formal & Statistical Analysis, J.W. and A.B.; Writing—Original Draft Preparation J.W. and A.B., Writing—Review & Editing, J.W., A.B. and M.Z.; Supervision, J.K., Funding Acquisition, J.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the University of Warmia and Mazury in Olsztyn, Faculty of Agriculture and Forestry, Department of Soil Science and Microbiology (grant No. 30.610.006-110).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Data are available by contacting the authors.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

DO—VERVA diesel oil, P—VERVA 98 petrol, B—biochar, H—halloysite, A—alginite, SL—sandy loam; LS—loamy sand; Deh—dehydrogenases; Cat—catalase; Ure—urease; Pac—acid phosphatase; Pal—alkaline phosphatase; Aryl—arylsulfatase, Glu—β-glucosidase; BA—biochemical soil quality index; Corg—total organic carbon; Ntotal—total nitrogen; HAC—hydrolytic acidity, CEC—cation exchange capacity, ACS—alkaline cation saturation.

References

  1. Ambaye, T.G.; Chebbi, A.; Formicola, F.; Prasad, S.; Gomez, F.H.; Franzetti, A.; Vaccari, M. Remediation of Soil Polluted with Petroleum Hydrocarbons and its Reuse for Agriculture: Recent Progress, Challenges, and Perspectives. Chemosphere 2022, 293, 133572. [Google Scholar] [CrossRef] [PubMed]
  2. Fu, L.; Wei, M.; Liao, K.; Qianli, M.; Shao, M.; Gu, F.; Fan, Y.; Longjie, L.; Yanfeng, H. Application of Environmentally Stimuli-Responsive Materials in the Development of Oil and Gas Field. J. Pet. Sci. Eng. 2022, 219, 111088. [Google Scholar] [CrossRef]
  3. Ossai, I.C.; Ahmed, A.; Hassan, A.; Hamid, F.S. Remediation of Soil and Water Contaminated with Petroleum Hydrocarbon: A Review. Environ. Technol. Innov. 2020, 17, 100526. [Google Scholar] [CrossRef]
  4. Borowik, A.; Wyszkowska, J.; Kucharski, M.; Kucharski, J. Implications of Soil Pollution with Diesel Oil and BP Petroleum with ACTIVE Technology for Soil Health. Int. J. Environ. Res. Public. Health 2019, 16, 2474. [Google Scholar] [CrossRef]
  5. Directive 2012/18/EU of the European Parliament and of the Council of 4 July 2012 on the Control of Major-Accident Hazards Involving Dangerous Substances, Amending and Subsequently Repealing Council Directive 96/82/EC Text with EEA Relevance. Available online: https://eur-lex.europa.eu/eli/dir/2012/18/oj (accessed on 13 July 2023).
  6. Khalilova, H.K. The impact of oil contamination on soil ecosystem. Biol. Chem. Res. 2015, 2015, 133–139. [Google Scholar]
  7. Mohan, S.V.; Kisa, T.; Ohkuma, T.; Kanaly, R.A.; Shimizu, Y. Bioremediation technologies for treatment of PAH-contaminated soil and strategies to enhance process efficiency. Rev. Environ. Sci. Biotechnol. 2006, 5, 347–374. [Google Scholar] [CrossRef]
  8. Nasehi, S.A.; Uromeihy, A.; Nikudel, M.R.; Morsali, A. Influence of gas oil contamination on geotechnical properties of fine and coarse-grained soils. Geotech. Geol. Eng. 2016, 34, 333–345. [Google Scholar] [CrossRef]
  9. Kucharski, J.; Jastrzębska, E. Effects of heating oil on the count of microorganisms and physico-chemical properties of soil. Pol. J. Environ. Stud. 2005, 14, 189–198. [Google Scholar]
  10. Bolan, N.; Sarkar, B.; Yan, Y.; Li, Q.; Wijesekara, H.; Kannan, K.; Tsang, D.C.W.; Schauerte, M.; Bosch, J.; Noll, H.; et al. Remediation of poly- and perfluoroalkyl substances (PFAS) contaminated soils—To mobilize or to immobilize or to degrade? J. Hazard. Mater. 2021, 401, 123892. [Google Scholar] [CrossRef]
  11. Haghollahi, A.; Fazaelipoor, M.H.; Schaffie, M. The effect of soil type on the bioremediation of petroleum contaminated soils. J. Environ. Manag. 2016, 180, 197–201. [Google Scholar] [CrossRef]
  12. Yuan, L.; Wu, Y.; Fan, Q.; Li, P.; Liang, J.; Liu, Y.; Ma, R.; Li, R.; Shi, L. Remediating petroleum hydrocarbons in highly saline–alkali soils using three native plant species. J. Environ. Manag. 2023, 339, 117928. [Google Scholar] [CrossRef] [PubMed]
  13. Borowik, A.; Wyszkowska, J. Response of Avena sativa L. and the soil microbiota to the contamination of soil with Shell diesel oil. Plant Soil. Environ. 2018, 64, 102–107. [Google Scholar] [CrossRef]
  14. Wyszkowska, J.; Borowik, A.; Kucharski, J. The Resistance of Lolium Perenne L. × Hybridum, Poa Pratensis, Festuca Rubra, F. Arundinacea, Phleum Pratense and Dactylis Glomerata to Soil Pollution by Diesel Oil and Petroleum. Plant Soil. Environ. 2019, 65, 307–312. [Google Scholar] [CrossRef]
  15. Yu, J.; Feng, H.; Tang, L.; Pang, Y.; Wang, J.; Zou, J.; Xie, Q.; Liu, Y.; Feng, C.; Wang, J. Insight into the Key Factors in Fast Adsorption of Organic Pollutants by Hierarchical Porous Biochar. J. Hazard. Mater. 2021, 403, 123610. [Google Scholar] [CrossRef] [PubMed]
  16. Wyszkowska, J.; Borowik, A.; Zaborowska, M.; Kucharski, J. The Usability of Sorbents in Restoring Enzymatic Activity in Soils Polluted with Petroleum-Derived Products. Materials 2023, 16, 3738. [Google Scholar] [CrossRef]
  17. da Silva, L.J.; Alves, F.C.; de França, F.P. A Review of the Technological Solutions for the Treatment of Oily Sludges from Petroleum Refineries. Waste Manag. Res. 2012, 30, 1016–1030. [Google Scholar] [CrossRef]
  18. Bandura, L.; Woszuk, A.; Kołodyńska, D.; Franus, W. Application of Mineral Sorbents for Removal of Petroleum Substances: A Review. Minerals 2017, 7, 37. [Google Scholar] [CrossRef]
  19. Padhye, L.P.; Srivastava, P.; Jasemizad, T.; Bolan, S.; Hou, D.; Shaheen, S.M.; Rinklebe, J.; O’Connor, D.; Lamb, D.; Wang, H. Contaminant Containment for Sustainable Remediation of Persistent Contaminants in Soil and Groundwater. J. Hazard. Mater. 2023, 455, 131575. [Google Scholar] [CrossRef]
  20. Wyszkowski, M.; Kordala, N. Role of Different Material Amendments in Shaping the Content of Heavy Metals in Maize (Zea mays L.) on Soil Polluted with Petrol. Materials 2022, 15, 2623. [Google Scholar] [CrossRef]
  21. Valdiviezo Gonzales, L.G.; Castañeda-Olivera, C.A.; Cabello-Torres, R.J.; García Ávila, F.F.; Cerrón, R.V.M.; Alfaro Paredes, E.A. Scientometric Study of Treatment Technologies of Soil Pollution: Present and Future Challenges. Appl. Soil. Ecol. 2023, 182, 104695. [Google Scholar] [CrossRef]
  22. Wyszkowski, M.; Wyszkowska, J.; Kordala, N.; Borowik, A. Effects of Coal and Sewage Sludge Ashes on Macronutrient Content in Maize (Zea mays L.) Grown on Soil Contaminated with Eco-Diesel Oil. Materials 2022, 15, 525. [Google Scholar] [CrossRef] [PubMed]
  23. Borowik, A.; Wyszkowska, J. Remediation of Soil Contaminated with Diesel Oil. J. Elementol. 2018, 23, 767–788. [Google Scholar] [CrossRef]
  24. Stepanova, A.Y.; Gladkov, E.A.; Osipova, E.S.; Gladkova, O.V.; Tereshonok, D.V. Bioremediation of Soil from Petroleum Contamination. Processes 2022, 10, 1224. [Google Scholar] [CrossRef]
  25. Kisić, I.; Hrenović, J.; Zgorelec, Ž.; Durn, G.; Brkić, V.; Delač, D. Bioremediation of Agriculture Soil Contaminated by Organic Pollutants. Energies 2022, 15, 1561. [Google Scholar] [CrossRef]
  26. Hamidzadeh, Z.; Ghorbannezhad, P.; Ketabchi, M.R.; Yeganeh, B. Biomass-Derived Biochar and Its Application in Agriculture. Fuel 2023, 341, 127701. [Google Scholar] [CrossRef]
  27. Jabborova, D.; Annapurna, K.; Paul, S.; Kumar, S.; Saad, H.A.; Desouky, S.; Ibrahim, M.F.M.; Elkelish, A. Beneficial Features of Biochar and Arbuscular Mycorrhiza for Improving Spinach Plant Growth, Root Morphological Traits, Physiological Properties, and Soil Enzymatic Activities. J. Fungi 2021, 7, 571. [Google Scholar] [CrossRef]
  28. Song, X.; Li, H.; Song, J.; Chen, W.; Shi, L. Biochar/Vermicompost Promotes Hybrid Pennisetum Plant Growth and Soil Enzyme Activity in Saline Soils. Plant Physiol. Biochem. 2022, 183, 96–110. [Google Scholar] [CrossRef]
  29. Wang, Y.; Ma, Z.; Wang, X.; Sun, Q.; Dong, H.; Wang, G.; Chen, X.; Yin, C.; Han, Z.; Mao, Z. Effects of Biochar on the Growth of Apple Seedlings, Soil Enzyme Activities and Fungal Communities in Replant Disease Soil. Sci. Hortic. 2019, 256, 108641. [Google Scholar] [CrossRef]
  30. Ajeng, A.A.; Abdullah, R.; Ling, T.C.; Ismail, S.; Lau, B.F.; Ong, H.C.; Chew, K.W.; Show, P.L.; Chang, J.-S. Bioformulation of Biochar as a Potential Inoculant Carrier for Sustainable Agriculture. Environ. Technol. Innov. 2020, 20, 101168. [Google Scholar] [CrossRef]
  31. Li, C.; Ahmed, W.; Li, D.; Yu, L.; Xu, L.; Xu, T.; Zhao, Z. Biochar Suppresses Bacterial Wilt Disease of Flue-Cured Tobacco by Improving Soil Health and Functional Diversity of Rhizosphere Microorganisms. Appl. Soil. Ecol. 2022, 171, 104314. [Google Scholar] [CrossRef]
  32. Selvarajoo, A.; Wong, Y.L.; Khoo, K.S.; Chen, W.-H.; Show, P.L. Biochar Production via Pyrolysis of Citrus Peel Fruit Waste as a Potential Usage as Solid Biofuel. Chemosphere 2022, 294, 133671. [Google Scholar] [CrossRef]
  33. Ren, H.-Y.; Wei, Z.-J.; Wang, Y.; Deng, Y.-P.; Li, M.-Y.; Wang, B. Effects of Biochar Properties on the Bioremediation of the Petroleum-Contaminated Soil from a Shale-Gas Field. Environ. Sci. Pollut. Res. 2020, 27, 36427–36438. [Google Scholar] [CrossRef]
  34. Guo, M.; Song, W.; Tian, J. Biochar-Facilitated Soil Remediation: Mechanisms and Efficacy Variations. Front. Environ. Sci. 2020, 8, 521512. [Google Scholar] [CrossRef]
  35. Fedeli, R.; Alexandrov, D.; Celletti, S.; Nafikova, E.; Loppi, S. Biochar Improves the Performance of Avena Sativa L. Grown in Gasoline-Polluted Soils. Environ. Sci. Pollut. Res. 2023, 30, 28791–28802. [Google Scholar] [CrossRef] [PubMed]
  36. Wei, Z.; Wei, Y.; Liu, Y.; Niu, S.; Xu, Y.; Park, J.-H.; Wang, J.J. Biochar-Based Materials as Remediation Strategy in Petroleum Hydrocarbon-Contaminated Soil and Water: Performances, Mechanisms, and Environmental Impact. J. Environ. Sci. 2024, 138, 350–372. [Google Scholar] [CrossRef]
  37. Gao, J.; Han, H.; Gao, C.; Wang, Y.; Dong, B.; Xu, Z. Organic Amendments for in Situ Immobilization of Heavy Metals in Soil: A Review. Chemosphere 2023, 335, 139088. [Google Scholar] [CrossRef]
  38. Wyszkowska, J.; Borowik, A.; Zaborowska, M.; Kucharski, J. Evaluation of the Usefulness of Sorbents in the Remediation of Soil Exposed to the Pressure of Cadmium and Cobalt. Materials 2022, 15, 5738. [Google Scholar] [CrossRef] [PubMed]
  39. Wyszkowska, J.; Borowik, A.; Zaborowska, M.; Kucharski, J. Mitigation of the Adverse Impact of Copper, Nickel, and Zinc on Soil Microorganisms and Enzymes by Mineral Sorbents. Materials 2022, 15, 5198. [Google Scholar] [CrossRef]
  40. Tamsu Selli, N.; Basaran, N. Controlling the Hardness and Wear Resistance of Opaque White Glaze by Addition of Halloysite Clay in the Composition. Bol. Soc. Esp. Ceram. Vidr. 2023, 62, 243–256. [Google Scholar] [CrossRef]
  41. Maj, I.; Matus, K. Aluminosilicate Clay Minerals: Kaolin, Bentonite, and Halloysite as Fuel Additives for Thermal Conversion of Biomass and Waste. Energies 2023, 16, 4359. [Google Scholar] [CrossRef]
  42. Masoudniaragh, A.; Oraei, M.; Gohari, G.; Akbari, A.; Faramarzi, A. Using Halloysite Nanotubes as Carrier for Proline to Alleviate Salt Stress Effects in Sweet Basil (Ocimum Basilicum L.). Sci. Hortic. 2021, 285, 110202. [Google Scholar] [CrossRef]
  43. Gömöryová, E.; Vass, D.; Pichler, V.; Gömöry, D. Effect of Alginite Amendment on Microbial Activity and Soil Water Content in Forest Soils. Biologia 2009, 64, 585–588. [Google Scholar] [CrossRef]
  44. Mukherjee, A.; Zimmerman, A.R.; Harris, W. Surface Chemistry Variations among a Series of Laboratory-Produced Biochars. Geoderma 2011, 163, 247–255. [Google Scholar] [CrossRef]
  45. Hippmann, S.; Ahmed, S.S.; Fröhlich, P.; Bertau, M. Demulsification of Water/Crude Oil Emulsion Using Natural Rock Alginite. Colloids Surf. A Physicochem. Eng. Asp. 2018, 553, 71–79. [Google Scholar] [CrossRef]
  46. Wang, B.; Gao, B.; Zimmerman, A.R.; Zheng, Y.; Lyu, H. Novel Biochar-Impregnated Calcium Alginate Beads with Improved Water Holding and Nutrient Retention Properties. J. Environ. Manag. 2018, 209, 105–111. [Google Scholar] [CrossRef]
  47. Strachel, R.; Wyszkowska, J.; Baćmaga, M. An Evaluation of the Effectiveness of Sorbents in the Remediation of Soil Contaminated with Zinc. Water Air Soil. Pollut. 2018, 229, 235. [Google Scholar] [CrossRef]
  48. Matvieieva, N.; Duplij, V.; Vozár, Ľ.; Kovár, P.; Hric, P. Stimulation Effect of Alginite on Rhodiola Rosea L. in Vitro Growth. Agrobiodivers Improv. 2023, 7, 7–16. [Google Scholar]
  49. Pour, M.M.; Riseh, R.S.; Ranjbar-Karimi, R.; Hassanisaadi, M.; Rahdar, A.; Baino, F. Microencapsulation of Bacillus Velezensis Using Alginate-Gum Polymers Enriched with TiO2 and SiO2 Nanoparticles. Micromachines 2022, 13, 1423. [Google Scholar] [CrossRef]
  50. Zhao, L.; Angel Hernandez-Viezcas, J.; Peralta-Videa, J.R.; Bandyopadhyay, S.; Peng, B.; Munoz, B.; Keller, A.A.; Gardea-Torresdey, J.L. ZnO Nanoparticle Fate in Soil and Zinc Bioaccumulation in Corn Plants (Zea mays) Influenced by Alginate. Environ. Sci. Process. Impacts 2013, 15, 260–266. [Google Scholar] [CrossRef]
  51. Szopa, D.; Mielczarek, M.; Skrzypczak, D.; Izydorczyk, G.; Mikula, K.; Chojnacka, K.; Witek-Krowiak, A. Encapsulation Efficiency and Survival of Plant Growth-Promoting Microorganisms in an Alginate-Based Matrix—A Systematic Review and Protocol for a Practical Approach. Ind. Crops Prod. 2022, 181, 114846. [Google Scholar] [CrossRef]
  52. Saberi Riseh, R.; Hassanisaadi, M.; Vatankhah, M.; Soroush, F.; Varma, R.S. Nano/Microencapsulation of Plant Biocontrol Agents by Chitosan, Alginate, and Other Important Biopolymers as a Novel Strategy for Alleviating Plant Biotic Stresses. Int. J. Biol. Macromol. 2022, 222, 1589–1604. [Google Scholar] [CrossRef]
  53. Song, Y.; Bechtel, A.; Sachsenhofer, R.F.; Groß, D.; Liu, Z.; Meng, Q. Depositional Environment of the Lower Cretaceous Muling Formation of the Laoheishan Basin (NE China): Implications from Geochemical and Petrological Analyses. Org. Geochem. 2017, 104, 19–34. [Google Scholar] [CrossRef]
  54. OECD-FAO. OECD-FAO Agricultural Outlook 2021–2030; OECD Publishing: Paris, France, 2021; ISBN 978-92-64-43607-7. [Google Scholar]
  55. Erenstein, O.; Chamberlin, J.; Sonder, K. Estimating the Global Number and Distribution of Maize and Wheat Farms. Glob. Food Secur. 2021, 30, 100558. [Google Scholar] [CrossRef]
  56. Yi, L.; Shenjiao, Y.; Shiqing, L.; Xinping, C.; Fang, C. Growth and Development of Maize (Zea mays L.) in Response to Different Field Water Management Practices: Resource Capture and Use Efficiency. Agric. Meteorol. 2010, 150, 606–613. [Google Scholar] [CrossRef]
  57. Aghili, S.; Golzary, A. Greening the Earth, Healing the Soil: A Comprehensive Life Cycle Assessment of Phytoremediation for Heavy Metal Contamination. Environ. Technol. Innov. 2023, 32, 103241. [Google Scholar] [CrossRef]
  58. Usowicz, B.; Lipiec, J. Spatial Variability of Soil Properties and Cereal Yield in a Cultivated Field on Sandy Soil. Soil Tillage Res. 2017, 174, 241–250. [Google Scholar] [CrossRef]
  59. IUSS Working Group WRB. World Reference Base for Soil Resources 2014, Update 2015. International Soil Classification System for Naming Soils and Creating Legends for Soil Maps; World Soil Resources Reports No. 106.; FAO: Rome, Italy, 2015. [Google Scholar]
  60. Morales-Máximo, C.N.; López-Sosa, L.B.; Rutiaga-Quiñones, J.G.; Corral-Huacuz, J.C.; Aguilera-Mandujano, A.; Pintor-Ibarra, L.F.; López-Miranda, A.; Delgado-Domínguez, S.N.; Rodríguez-Magallón, M.D.C.; Morales-Máximo, M. Characterization of Agricultural Residues of Zea mays for Their Application as Solid Biofuel: Case Study in San Francisco Pichátaro, Michoacán, Mexico. Energies 2022, 15, 6870. [Google Scholar] [CrossRef]
  61. Wyszkowska, J.; Borowik, A.; Zaborowska, M.; Kucharski, J. Calorific Value of Zea mays Biomass Derived from Soil Contaminated with Chromium (VI) Disrupting the Soil’s Biochemical Properties. Energies 2023, 16, 3788. [Google Scholar] [CrossRef]
  62. Liao, C.; Xu, W.; Lu, G.; Liang, X.; Guo, C.; Yang, C.; Dang, Z. Accumulation of Hydrocarbons by Maize (Zea mays L.) in Remediation of Soils Contaminated with Crude Oil. Int. J. Phytoremediation 2015, 17, 693–700. [Google Scholar] [CrossRef]
  63. Murtaza, G.; Ahmed, Z.; Eldin, S.M.; Ali, B.; Bawazeer, S.; Usman, M.; Iqbal, R.; Neupane, D.; Ullah, A.; Khan, A.; et al. Biochar-Soil-Plant Interactions: A Cross Talk for Sustainable Agriculture under Changing Climate. Front. Environ. Sci. 2023, 11, 1059449. [Google Scholar] [CrossRef]
  64. Ayaz, M.; Feizienė, D.; Tilvikienė, V.; Akhtar, K.; Stulpinaitė, U.; Iqbal, R. Biochar Role in the Sustainability of Agriculture and Environment. Sustainability 2021, 13, 1330. [Google Scholar] [CrossRef]
  65. Radziemska, M.; Gusiatin, Z.M.; Kumar, V.; Brtnicky, M. Co-Application of Nanosized Halloysite and Biochar as Soil Amendments in Aided Phytostabilization of Metal(-Oid)s-Contaminated Soil under Different Temperature Conditions. Chemosphere 2022, 288, 132452. [Google Scholar] [CrossRef] [PubMed]
  66. Zaborowska, M.; Wyszkowska, J.; Borowik, A.; Kucharski, J. Effect of Separate and Combined Toxicity of Bisphenol A and Zinc on the Soil Microbiome. Int. J. Mol. Sci. 2022, 23, 5937. [Google Scholar] [CrossRef] [PubMed]
  67. Borowik, A.; Wyszkowska, J.; Wyszkowski, M. Resistance of Aerobic Microorganisms and Soil Enzyme Response to Soil Contamination with Ekodiesel Ultra Fuel. Environ. Sci. Pollut. Res. 2017, 24, 24346–24363. [Google Scholar] [CrossRef]
  68. RStudio Team RStudio Team. RStudio: Integrated Development for R. RStudio Version 2023.06.0, PBC, Boston, MA, USA. 2020. Available online: http://www.rstudio.com/ (accessed on 10 July 2023).
  69. R Core Team R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing, Version 4.2.2. Vienna, Austria. 2022. Available online: https://www.r-project.org/ (accessed on 10 July 2023).
  70. Warnes, G.R.; Bolker, B.; Bonebakker, L.; Gentleman, R.; Huber, W.; Liaw, A.; Lumley, T.; Maechler, M.; Magnusson, M.; Moeller, S.; et al. Gplots: Various R Programming Tools for Plotting Data. Gplots 3.1.3. 2022. Available online: https://cran.r-project.org/web/packages/gplots/ (accessed on 10 July 2023).
  71. Wyszkowska, J.; Borowik, A.; Kucharski, M.; Borowik, A. Applicability of biochemical indices to quality assessment of soil polluted with heavy metal. J. Elementol. 2013, 18, 733–756. [Google Scholar] [CrossRef]
  72. Krzywinski, M.; Schein, J.; Birol, İ.; Connors, J.; Gascoyne, R.; Horsman, D.; Jones, S.J.; Marra, M.A. Circos: An Information Aesthetic for Comparative Genomics. Genome Res. 2009, 19, 1639–1645. [Google Scholar] [CrossRef]
  73. TIBCO Software Inc Statistica, Version 13; Data Analysis Software System; Tibco Software Inc.: Palo Alto, CA, USA. 2021. Available online: http://statistica.io (accessed on 10 July 2023).
  74. Thacharodi, A.; Hassan, S.; Singh, T.; Mandal, R.; Chinnadurai, J.; Khan, H.A.; Hussain, M.A.; Brindhadevi, K.; Pugazhendhi, A. Bioremediation of Polycyclic Aromatic Hydrocarbons: An Updated Microbiological Review. Chemosphere 2023, 328, 138498. [Google Scholar] [CrossRef]
  75. Al-Rubaye, A.H.; Jasim, D.J.; Ameen, H.F.M.; Al-Robai, H.A.; Al-Assal, J.R. The Impacts of Petroleum on Environment. IOP Conf. Ser. Earth Environ. Sci. 2023, 1158, 032014. [Google Scholar] [CrossRef]
  76. Panchenko, L.; Muratova, A.; Dubrovskaya, E.; Golubev, S.; Turkovskaya, O. Natural and Technical Phytoremediation of Oil-Contaminated Soil. Life 2023, 13, 177. [Google Scholar] [CrossRef]
  77. Borowik, A.; Wyszkowska, J. Bioaugmentation of Soil Contaminated with Diesel Oil. J. Elementol. 2018, 23, 1161–1178. [Google Scholar] [CrossRef]
  78. Wang, W.; Gao, Y.; Du, J.; Zheng, L.; Kong, X.; Wang, H.; Yang, X.; Duan, L.; Zhao, Q.; Liu, Y.; et al. Dose–Effect of Nitrogen Regulation on the Bioremediation of Diesel Contaminated Soil. Environ. Technol. Innov. 2023, 32, 103245. [Google Scholar] [CrossRef]
  79. Pérez, A.P.; Eugenio, N.R. Status of Local Soil Contamination in Europe: Revision of the Indicator ‘Progress in the Management Contaminated Sites in EUROPE’. JRC. 2018. Available online: https://data.europa.eu/doi/10.2760/093804 (accessed on 15 July 2023).
  80. Bica, I. Contaminated Sites Investigation. Objectives and Methods. E3S Web Conf. 2020, 169, 02002. [Google Scholar] [CrossRef]
  81. Brombal, D.; Wang, H.; Pizzol, L.; Critto, A.; Giubilato, E.; Guo, G. Soil Environmental Management Systems for Contaminated Sites in China and the EU. Common Challenges and Perspectives for Lesson Drawing. Land Use Policy 2015, 48, 286–298. [Google Scholar] [CrossRef]
  82. Wanner, P.; Freis, M.; Peternell, M.; Kelm, V. Risk Classification of Contaminated Sites—Comparison of the Swedish and the German Method. J. Environ. Manag. 2023, 327, 116825. [Google Scholar] [CrossRef]
  83. Gao, J.; Faheem, M.; Yu, X. Global Research on Contaminated Soil Remediation: A Bibliometric Network Analysis. Land 2022, 11, 1581. [Google Scholar] [CrossRef]
  84. Wyszkowski, M.; Wyszkowska, J.; Kordala, N.; Borowik, A. Applicability of Ash Wastes for Reducing Trace Element Content in Zea mays L. Grown in Eco-Diesel Contaminated Soil. Molecules 2022, 27, 897. [Google Scholar] [CrossRef]
  85. Rusin, M.; Gospodarek, J.; Barczyk, G.; Nadgórska-Socha, A. Antioxidant Responses of Triticum Aestivum Plants to Petroleum-Derived Substances. Ecotoxicology 2018, 27, 1353–1367. [Google Scholar] [CrossRef]
  86. Mishra, P.; Kiran, N.S.; Romanholo Ferreira, L.F.; Yadav, K.K.; Mulla, S.I. New Insights into the Bioremediation of Petroleum Contaminants: A Systematic Review. Chemosphere 2023, 326, 138391. [Google Scholar] [CrossRef]
  87. Borowik, A.; Wyszkowska, J.; Kucharski, M.; Kucharski, J. The Role of Dactylis Glomerata and Diesel Oil in the Formation of Microbiome and Soil Enzyme Activity. Sensors 2020, 20, 3362. [Google Scholar] [CrossRef]
  88. Ptaszek, N.; Pacwa-Płociniczak, M.; Noszczyńska, M.; Płociniczak, T. Comparative Study on Multiway Enhanced Bio- and Phytoremediation of Aged Petroleum-Contaminated Soil. Agronomy 2020, 10, 947. [Google Scholar] [CrossRef]
  89. Mitter, E.K.; Kataoka, R.; de Freitas, J.R.; Germida, J.J. Potential Use of Endophytic Root Bacteria and Host Plants to Degrade Hydrocarbons. Int. J. Phytoremediation 2019, 21, 928–938. [Google Scholar] [CrossRef] [PubMed]
  90. Kafle, A.; Timilsina, A.; Gautam, A.; Adhikari, K.; Bhattarai, A.; Aryal, N. Phytoremediation: Mechanisms, Plant Selection and Enhancement by Natural and Synthetic Agents. Environ. Adv. 2022, 8, 100203. [Google Scholar] [CrossRef]
  91. Meištininkas, R.; Vaškevičienė, I.; Dikšaitytė, A.; Pedišius, N.; Žaltauskaitė, J. Potential of Eight Species of Legumes for Heavy Fuel Oil-Contaminated Soil Phytoremediation. Sustainability 2023, 15, 4281. [Google Scholar] [CrossRef]
  92. Gawryluk, A.; Stępniowska, A.; Lipińska, H. Effect of Soil Contamination with Polycyclic Aromatic Hydrocarbons from Drilling Waste on Germination and Growth of Lawn Grasses. Ecotoxicol. Environ. Saf. 2022, 236, 113492. [Google Scholar] [CrossRef]
  93. Hou, J.; Wang, Q.; Liu, W.; Zhong, D.; Ge, Y.; Christie, P.; Luo, Y. Soil Microbial Community and Association Network Shift Induced by Several Tall Fescue Cultivars during the Phytoremediation of a Petroleum Hydrocarbon-Contaminated Soil. Sci. Total Environ. 2021, 792, 148411. [Google Scholar] [CrossRef]
  94. He, M.; Li, Z.; Chen, C.; Mei, P. Impact of Soil Types and Root Exudates on Cadmium and Petroleum Hydrocarbon Phytoremediation by Sorghum Sudanense, Festuca Arundinace, and Lolium Perenne. Front. Ecol. Evol. 2022, 10, 1036765. [Google Scholar] [CrossRef]
  95. Lin, M.-S.; Huang, C.-Y.; Lin, Y.-C.; Lin, S.-L.; Hsiao, Y.-H.; Tu, P.-C.; Cheng, P.-C.; Cheng, S.-F. Green Remediation Technology for Total Petroleum Hydrocarbon-Contaminated Soil. Agronomy 2022, 12, 2759. [Google Scholar] [CrossRef]
  96. Yavari, S.; Malakahmad, A.; Sapari, N.B. A Review on Phytoremediation of Crude Oil Spills. Water Air Soil. Pollut. 2015, 226, 279. [Google Scholar] [CrossRef]
  97. Hussein, Z.S.; Hamido, N.; Hegazy, A.K.; El-Dessouky, M.A.; Mohamed, N.H.; Safwat, G. Phytoremediation of Crude Petroleum Oil Pollution: A Review. EJBO 2022, 62, 611–640. [Google Scholar] [CrossRef]
  98. Franchi, E.; Cardaci, A.; Pietrini, I.; Fusini, D.; Conte, A.; De Folly D’Auris, A.; Grifoni, M.; Pedron, F.; Barbafieri, M.; Petruzzelli, G.; et al. Nature-Based Solutions for Restoring an Agricultural Area Contaminated by an Oil Spill. Plants 2022, 11, 2250. [Google Scholar] [CrossRef]
  99. Cook, R.L.; Hesterberg, D. Comparison of Trees and Grasses for Rhizoremediation of Petroleum Hydrocarbons. Int. J. Phytoremediation 2013, 15, 844–860. [Google Scholar] [CrossRef] [PubMed]
  100. Aluvihara, S.; Weerawardena, T.E.; Gunaratne, H.D.A.K.; Deniyapahala, D.V.R.I.; Dissanayake, S.S.; Gunawardana, S.I. Advanced Review on Soil Microbiology and Fertility of Soils. Mech. Agric. Conserv. Resour. 2023, 67, 27–31. [Google Scholar]
  101. Singh, H.; Pant, G. Phytoremediation: Low Input-Based Ecological Approach for Sustainable Environment. Appl. Water Sci. 2023, 13, 85. [Google Scholar] [CrossRef]
  102. Tan, H.W.; Pang, Y.L.; Lim, S.; Chong, W.C. A State-of-the-Art of Phytoremediation Approach for Sustainable Management of Heavy Metals Recovery. Environ. Technol. Innov. 2023, 30, 103043. [Google Scholar] [CrossRef]
  103. Borowik, A.; Wyszkowska, J.; Gałązka, A.; Kucharski, J. Role of Festuca Rubra and Festuca Arundinacea in Determinig the Functional and Genetic Diversity of Microorganisms and of the Enzymatic Activity in the Soil Polluted with Diesel Oil. Environ. Sci. Pollut. Res. 2019, 26, 27738–27751. [Google Scholar] [CrossRef] [PubMed]
  104. Duan, Q.; Han, G.; Cui, B.; Rennenberg, H. The Effects of Petroleum Contaminated Soils on the Growth, Gas Exchange and Antioxidative Level of Sea-Buckthorn. Plant Soil. 2023, 486, 535–550. [Google Scholar] [CrossRef]
  105. Houshani, M.; Salehi-Lisar, S.Y. Agronomic Crop Responses and Tolerance to Polycyclic Aromatic Hydrocarbon Toxicity. In Agronomic Crops: Volume 3: Stress Responses and Tolerance; Hasanuzzaman, M., Ed.; Springer: Singapore, 2020; pp. 265–283. ISBN 9789811500251. [Google Scholar]
  106. da Silva Correa, H.; Blum, C.T.; Galvão, F.; Maranho, L.T. Effects of Oil Contamination on Plant Growth and Development: A Review. Environ. Sci. Pollut. Res. 2022, 29, 43501–43515. [Google Scholar] [CrossRef]
  107. Meudec, A.; Poupart, N.; Dussauze, J.; Deslandes, E. Relationship between Heavy Fuel Oil Phytotoxicity and Polycyclic Aromatic Hydrocarbon Contamination in Salicornia Fragilis. Sci. Total Environ. 2007, 381, 146–156. [Google Scholar] [CrossRef]
  108. Yemashova, N.; Murygina, V.; Zhukov, D.; Zakharyantz, A.; Gladchenko, M.; Appanna, V.; Kalyuzhnyi, S. Biodeterioration of Crude Oil and Oil Derived Products: A Review. Rev. Environ. Sci. Biotechnol. 2007, 6, 315–337. [Google Scholar] [CrossRef]
  109. Koshlaf, E.; Ball, A.S. Soil Bioremediation Approaches for Petroleum Hydrocarbon Polluted Environments. AIMS Microbiol. 2017, 3, 25–49. [Google Scholar] [CrossRef]
  110. Wyszkowski, M.; Kordala, N. Applicability of Compost and Mineral Materials for Reducing the Effect of Diesel Oil on Trace Element Content in Soil. Materials 2023, 16, 3655. [Google Scholar] [CrossRef]
  111. Wyszkowski, M.; Kordala, N. Trace Element Contents in Petrol-Contaminated Soil Following the Application of Compost and Mineral Materials. Materials 2022, 15, 5233. [Google Scholar] [CrossRef]
  112. Borowik, A.; Wyszkowska, J.; Kucharski, J. Microbiological Study in Petrol-Spiked Soil. Molecules 2021, 26, 2664. [Google Scholar] [CrossRef]
  113. Wyszkowska, J.; Borowik, A.; Kucharski, J. Response of Avena Sativa, Microorganisms and Enzymes to Contamination of Soil with Diesel Oil. Plant Soil. Environ. 2015, 61, 483–488. [Google Scholar] [CrossRef]
  114. Dindar, E.; Şağban, F.O.T.; Başkaya, H.S. Variations of Soil Enzyme Activities in Petroleum-Hydrocarbon Contaminated Soil. Int. Biodeterior. Biodegrad. 2015, 105, 268–275. [Google Scholar] [CrossRef]
  115. Wu, B.; Lan, T.; Lu, D.; Liu, Z. Ecological and Enzymatic Responses to Petroleum Contamination. Environ. Sci. Process. Impacts 2014, 16, 1501–1509. [Google Scholar] [CrossRef] [PubMed]
  116. Song, Y.; Li, R.; Chen, G.; Yan, B.; Zhong, L.; Wang, Y.; Li, Y.; Li, J.; Zhang, Y. Bibliometric Analysis of Current Status on Bioremediation of Petroleum Contaminated Soils during 2000–2019. Int. J. Environ. Res. Public Health 2021, 18, 8859. [Google Scholar] [CrossRef]
  117. Fahimizadeh, M.; Pasbakhsh, P.; Mae, L.S.; Tan, J.B.L.; Raman, R.K.S. Sustained-Release of Nutrients by Yeast Extract-Loaded Halloysite Nanotubes Supports Bacterial Growth. Appl. Clay Sci. 2023, 240, 106979. [Google Scholar] [CrossRef]
  118. Teng, G.; Chen, C.; Jing, N.; Chen, C.; Duan, Y.; Zhang, L.; Wu, Z.; Zhang, J. Halloysite Nanotubes-Based Composite Material with Acid/Alkali Dual PH Response and Foliar Adhesion for Smart Delivery of Hydrophobic Pesticide. Chem. Eng. J. 2023, 451, 139052. [Google Scholar] [CrossRef]
  119. Wang, C.; Gu, L.; Ge, S.; Liu, X.; Zhang, X.; Chen, X. Remediation Potential of Immobilized Bacterial Consortium with Biochar as Carrier in Pyrene-Cr(VI) Co-Contaminated Soil. Environ. Technol. 2019, 40, 2345–2353. [Google Scholar] [CrossRef]
  120. Zhang, H.; Yang, H.; Shao, J.; Chen, Y.; Zhang, S.; Chen, H. Multifunctional Carboxymethyl Cellulose Sodium Encapsulated Phosphorus-Enriched Biochar Composites: Multistage Adsorption of Heavy Metals and Controllable Release of Soil Fertilization. J. Chem. Eng. 2023, 453, 139809. [Google Scholar] [CrossRef]
  121. Khosravi, A.; Zheng, H.; Liu, Q.; Hashemi, M.; Tang, Y.; Xing, B. Production and Characterization of Hydrochars and Their Application in Soil Improvement and Environmental Remediation. Chem. Eng. J. 2022, 430, 133142. [Google Scholar] [CrossRef]
  122. European-BioChar. The European Biochar Certificate. Available online: http://www.european-biochar.org/en (accessed on 10 August 2023).
  123. International Biochar Initiative. About the IBI Biochar Certification Program. Available online: http://www.biochar-international.org/certification (accessed on 10 August 2023).
Figure 1. Index of the impact of DO and P and sorbents on the yield (Y) of Zea mays cultivated on loamy sand (a) and sandy loam (b). The abbreviations are explained in the Table 2.
Figure 1. Index of the impact of DO and P and sorbents on the yield (Y) of Zea mays cultivated on loamy sand (a) and sandy loam (b). The abbreviations are explained in the Table 2.
Agriculture 13 01669 g001
Figure 2. The index of the impact of DO, P, and sorbents on enzyme activity in loamy sand. On the X-axis are abbreviations of enzyme names, and on the Y-axis are abbreviations of research objects. Abbreviations are explained under the Table 3.
Figure 2. The index of the impact of DO, P, and sorbents on enzyme activity in loamy sand. On the X-axis are abbreviations of enzyme names, and on the Y-axis are abbreviations of research objects. Abbreviations are explained under the Table 3.
Agriculture 13 01669 g002
Figure 3. The index of the impact of DO, P, and sorbents on enzyme activity in sandy loam. On the X-axis are abbreviations of enzyme names, and on the Y-axis are abbreviations of research objects. Abbreviations are explained under the Table 3.
Figure 3. The index of the impact of DO, P, and sorbents on enzyme activity in sandy loam. On the X-axis are abbreviations of enzyme names, and on the Y-axis are abbreviations of research objects. Abbreviations are explained under the Table 3.
Agriculture 13 01669 g003
Figure 4. The effect of DO and P on the biochemical soil quality Index (BA). Abbreviations are explained under the Table 3. Homogeneous groups denoted with letters (a–j) were calculated separately for each soil.
Figure 4. The effect of DO and P on the biochemical soil quality Index (BA). Abbreviations are explained under the Table 3. Homogeneous groups denoted with letters (a–j) were calculated separately for each soil.
Agriculture 13 01669 g004
Figure 5. The share of independent variables (η2) in shaping the dependent variables in loamy sand (a) and sandy loam (b). Abbreviations are explained under Table 2 and Table 3.
Figure 5. The share of independent variables (η2) in shaping the dependent variables in loamy sand (a) and sandy loam (b). Abbreviations are explained under Table 2 and Table 3.
Agriculture 13 01669 g005
Figure 6. The share of independent variables (η2) in shaping the dependent variables in loamy sand (a) and sandy loam (b). Abbreviations are explained under Table 2 and Table 3.
Figure 6. The share of independent variables (η2) in shaping the dependent variables in loamy sand (a) and sandy loam (b). Abbreviations are explained under Table 2 and Table 3.
Agriculture 13 01669 g006
Figure 7. Pearson’s simple correlation coefficients. * significant at p = 0.05, n = 12. Agriculture 13 01669 i001—Sandy loam, Agriculture 13 01669 i002—Loamy sand. Abbreviations are explained under the Table 2 and Table 3.
Figure 7. Pearson’s simple correlation coefficients. * significant at p = 0.05, n = 12. Agriculture 13 01669 i001—Sandy loam, Agriculture 13 01669 i002—Loamy sand. Abbreviations are explained under the Table 2 and Table 3.
Agriculture 13 01669 g007
Table 1. Some properties of the soil used in the experiment.
Table 1. Some properties of the soil used in the experiment.
AbbreviationPropertiesUnitSoil
Loamy Sand (LS)Sandy Loam (SL)
Grain-size Composition
Sand0.05–2.0 mm %74.3070.38
Silt0.02–0.05 mm23.6927.19
Clay<0.002 mm2.012.43
Chemical and Physicochemical Properties
NtotTotal Nitrogeng kg−1 dm0.981.01
CorgOrganic Carbon11.2011.50
PavailablePhosphorus Availablemg kg−1 dm164.05172.73
KavailablePotassium Available53.9578.85
MgavailableMagnesium Available46.0038.00
pHSoil pHKCl Reaction1 mol KCl dm−36.987.13
EBCSum of Exchangeable Base CationsmM (+) kg−1 dm84.20181.80
HACHydrolytic Acidity8.005.70
CECCation Exchange Capacity%92.20187.50
ACSAlkaline Cation Saturation91.3296.96
Enzymatic Activity per 1 kg dm h−1
DehDehydrogenasesµM TFF5.4268.007
CatCatalaseM O20.2110.369
UreUreasemM N-NH40.1531.114
PacAcid PhosphatasemM PN2.2910.954
PalAlkaline Phosphatase2.0371.572
Gluβ-glucosidase0.5420.914
ArylArylsulphatase0.3860.721
Table 2. The effect of soil contamination with diesel oil (DO) and petrol (P) and sorbents on Zea mays biomass.
Table 2. The effect of soil contamination with diesel oil (DO) and petrol (P) and sorbents on Zea mays biomass.
Type of SorbentObjectsLoamy Sand (LS)Sandy Loam (SL)
Aerial Parts
(Ap)
Roots
(r)
Ap/rAerial Parts
(Ap)
Roots
(r)
Ap/r
g dm of pot−1g dm of pot−1
Control (C1)C240.712 b
±1.721
8.818 bc
±0.192
4.61746.708 a
±1.031
8.533 ab
±0.293
5.474
DO4.903 e
±0.690
1.656 f
±0.238
2.96028.122 d
±2.060
4.545 e
±0.816
6.188
P33.378 d
±3.270
6.826 d
±0.131
4.89042.422 b
±1.594
5.723 de
±0.468
7.412
Biochar (B)C241.930 b
±0.408
11.022 a
±1.495
3.80446.733 a
± 0.726
9.501 a
±0.206
4.919
DO7.214 e
±0.148
4.953 e
±0.488
1.45731.745 c
±1.011
5.302 de
±1.462
5.987
P35.805 d
±1.940
8.486 cd
±0.523
4.21943.042 b
±0.489
6.588 cd
±0.363
6.534
Halloysite (H)C247.858 a
±1.433
10.186 ab
±0.623
4.69848.907 a
±0.893
9.212 a
± 0.629
5.309
DO6.025 e
±0.022
3.885 e
±0.188
1.55131.124 cd
±1.421
8.385 ab
±0.855
3.712
P32.799 d
± 1.070
8.492 cd
± 0.603
3.86240.200 b
±1.270
8.181 abc
±0.819
4.914
Alginite (A)C240.097 bc
± 1.850
9.234 bc
± 0.835
4.34247.796 a
±2.553
8.404 ab
±0.418
5.687
DO7.304 e
± 0.768
3.876 e
± 0.012
1.88433.092 c
±0.699
7.031 bcd
±0.922
4.707
P36.641 cd
± 2.069
8.058 cd
± 1.098
4.54746.807 a
±1.064
5.682 de
±0.367
8.237
C1—soil without sorbent, C2—soil uncontaminated with DO or P; DO—diesel oil VERVA; P—VERVA 98 petrol. Homogeneous groups denoted with letters (a–f) were calculated separately for each part of the plant and each kind of soil and each kind of soil.
Table 3. The impact of diesel oil (DO) and petrol (P) contamination, as well as sorbents, on enzyme activity in 1 kg dm of soil × h−1 of loamy sand (LS).
Table 3. The impact of diesel oil (DO) and petrol (P) contamination, as well as sorbents, on enzyme activity in 1 kg dm of soil × h−1 of loamy sand (LS).
Type of SorbentObject DehCatUrePacPalGluAryl
C1C25.901 h
±0.090
0.227 g
±00.008
0.160 g
±0.125
2.473 g
±0.004
2.086 de
±0.001
0.571 cd
±0.004
0.401 d
±0.002
DO6.824 g
±0.087
0.339 c
±0.000
0.264 f
±0.027
3.551 bc
±0.012
2.606 b
±0.010
0.476 fg
±0.003
0.385 de
±0.003
P7.388 ef
±0.219
0.386 a
±0.011
0.266 f
±0.045
3.369 cd
±0.094
1.986 e
±0.005
0.446 h
±0.007
0.256 g
±0.007
BC29.075 c
±0.001
0.246 f
±0.004
0.421 d
±0.025
3.079 e
±0.024
2.131 cd
±0.060
0.614 b
±0.006
0.443 c
±0.009
DO7.614 e
±0.183
0.347 bc
±0.008
0.311 e
±0.027
3.722 ab
±0.190
2.619 b
±0.017
0.515 e
±0.004
0.009
P7.105 fg
±0.242
0.310 d
±0.008
0.334 e
±0.025
3.829 a
±0.113
2.123 cd
±0.026
0.494 ef
±0.024
0.275 g
±0.003
HC210.240 b
±0.069
0.227 g
±0.008
0.683 b
±0.025
2.752 f
±0.010
2.204 c
±0.009
0.657 a
±0.002
0.428 c
±0.009
DO7.707 e
±0.173
0.384 a
±0.004
0.287 e
±0.013
3.289 de
±0.020
2.738 a
±0.006
0.493 ef
±0.001
0.476 b
±0.007
P6.686 g
±0.090
0.287 e
±.0.000
0.421 d
±0.025
3.180 de
±0.002
2.110 cd
±0.010
0.501 ef
±0.004
0.298 f
±0.003
AC28.173 d
±0.007
0.234 fg
±0.005
0.595 c
±0.025
2.715 f
±0.008
2.148 cd
±0.009
0.589 bc
±0.005
0.551 a
±0.005
DO11.594 a
±0.256
0.364 b
±0.008
0.893 a
±0.013
3.591 b
±0.055
2.754 a
±0.026
0.558 d
±0.017
0.009
P5.732 h
±0.135
0.227 g
±0.000
0.465 d
±0.025
3.314 d
±0.015
2.046 de
±0.006
0.453 gh
±0.003
0.375 e
±0.003
C1—soil without sorbent, C2—soil uncontaminated with DO or P; B—biochar, H—halloysite, A—alginite, DO—VERVA diesel oil; P—VERVA 98 petrol; Deh—dehydrogenases; Cat—catalase; Ure—urease; Pac—acid phosphatase; Pal—alkaline phosphatase; Glu—β-glucosidase; Aryl—arylsulfatase. Homogeneous groups denoted with letters (a–h) were calculated separately for each enzyme.
Table 4. The impact of diesel oil (DO) and petrol (P) contamination, as well as sorbents, on enzyme activity in 1 dm of soil × h−1 of sandy loam (SL).
Table 4. The impact of diesel oil (DO) and petrol (P) contamination, as well as sorbents, on enzyme activity in 1 dm of soil × h−1 of sandy loam (SL).
Type of SorbentObject DehCatUrePacPalGluAryl
C1C28.550 d
±0.327
0.393 b
±0.004
1.238 de
±0.066
1.011 h
±0.014
1.619 de
±0.013
0.986 e
±0.004
0.765 de
±0.014
DO11.395 c
±0.116
0.437 a
±0.012
1.664 b
±0.069
1.640 d
±0.011
2.318 c
±0.018
1.092 cd
±0.020
0.934 a
±0.021
P7.588 e
±0.125
0.303 ef
±0.004
0.979 g
±0.020
1.454 f
±0.031
1.553 de
±0.044
1.044 cde
±0.041
0.677 f
±0.034
BC28.746 d
±0.490
0.244 g
±0.004
0.785 h
±0.012
1.539 e
±0.025
1.679 d
±0.011
0.998 e
±0.009
0.757 e
±0.004
DO11.168 c
±0.162
0.338 d
±0.008
1.074 fg
±0.069
1.927 b
±0.008
2.499 b
±0.128
1.100 c
±0.020
0.858 bc
±0.018
P6.206 f
±0.276
0.310 e
±0.008
1.118 ef
±0.025
1.400 g
±0.006
1.515 ef
±0.008
1.126 c
±0.004
0.681 f
±0.017
HC28.769 d
±0.207
0.225 h
±0.007
1.282 d
±0.025
1.376 g
± 0.006
1.628 de
±0.011
1.004 de
±0.009
0.815 cde
±0.035
DO12.351 b
±0.300
0.374 c
±0.004
2.163 a
±0.026
1.644 d
±0.003
2.531 b
±0.019
1.127 c
±0.012
0.914 ab
±0.017
P7.651 e
±0.139
0.287 f
±0.004
1.118 ef
±0.025
1.956 b
±0.012
1.408 f
±0.064
1.418 a
±0.086
0.680 f
±0.021
AC29.210 d
±0.149
0.232 gh
±0.004
1.519 c
±0.045
1.412 fg
±0.012
1.621 de
±0.011
1.004 de
±0.005
0.817 cd
±0.008
DO15.779 a
±0.466
0.354 d
±0.008
2.072 a
±0.026
1.859 c
±0.036
2.733 a
±0.021
1.109 c
±0.026
0.908 ab
±0.008
P6.884 ef
±0.344
0.227 gh
±0.004
1.162 def
±0.025
2.299 a
±0.015
1.568 de
±0.009
1.233 b
±0.020
0.654 f
±0.013
Abbreviations are explained under the Table 3. Homogeneous groups denoted with letters (a–h) were calculated separately for each enzyme.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wyszkowska, J.; Borowik, A.; Zaborowska, M.; Kucharski, J. Biochar, Halloysite, and Alginite Improve the Quality of Soil Contaminated with Petroleum Products. Agriculture 2023, 13, 1669. https://doi.org/10.3390/agriculture13091669

AMA Style

Wyszkowska J, Borowik A, Zaborowska M, Kucharski J. Biochar, Halloysite, and Alginite Improve the Quality of Soil Contaminated with Petroleum Products. Agriculture. 2023; 13(9):1669. https://doi.org/10.3390/agriculture13091669

Chicago/Turabian Style

Wyszkowska, Jadwiga, Agata Borowik, Magdalena Zaborowska, and Jan Kucharski. 2023. "Biochar, Halloysite, and Alginite Improve the Quality of Soil Contaminated with Petroleum Products" Agriculture 13, no. 9: 1669. https://doi.org/10.3390/agriculture13091669

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop