Influence of MSWC on selected soil chemical properties
The control soil was weakly acidic (pH 6.36), had an organic matter content of approximately 2%, a very low concentration of total N and extractable P, and a low CEC (Table 1). After 6 years since MSWC addition, the effect of the amendment on the soil chemical properties was still significant. Indeed, the addition of MSWC caused a significant increase of the soil pH which was depending on its rate (i.e. +0.3, + 0.8 and + 0.9 pH units in soils amended with 1.5, 3.0 and 4.5% MSWC, respectively). This was probably due to the alkaline nature of compost (Table S1; Erana et al., 2019). Similarly, Asemaninejad et al. (2021) observed a slight increase in pH ( ~ + 0.4) in a neutral soil (pH 7.1) amended with compost after 4 and 10 years since its addition. As expected, significant increases in TOC (e.g., + 1.6% times in 4.5% MSWC) and DOC (e.g., + 5.0 times in 4.5% MSWC) were observed in MSWC-amended soils (Table 1). This result is articularly significant, since previous studies reported a reduction of TOC and DOC after several years since the addition of compost (Asemaninejad et al., 2021; Picariello et al., 2021). Also, the CEC increased in MSWC-amended soils, as well as the extractable P and total N (Table 1). The pseudo-total concentrations of As, Cd, Pb, Sb and Zn, did not vary in the different soil samples, but exceeded by 1.3, 10.2, 26.6, 41.2 and 300 times respectively the threshold concentrations for agricultural soils imposed by Italian regulations (Ministerial Decree 46, 2019; Table 1).
Table 1
Selected physico-chemical characteristics of control and MSWC-amended soils (mean ± standard error). Different letters in a line indicate statistically significant differences according –Tukey test (p < 0.05)
Soil parameter | Control | MSWC 1.5% | MSWC 3.0% | MSWC 4.5% |
pHH2O | 6.36 ± 0.07c | 6.63 ± 0.05b | 7.13 ± 0.07a | 7.23 ± 0.07a |
EC (dS m − 1) | 2.20 ± 0.06a | 0.81 ± 0.04b | 0.44 ± 0.08c | 0.33 ± 0.01c |
Organic matter (%) | 2.11 ± 0.07c | 2.64 ± 0.14b | 2.78 ± 0.06b | 3.66 ± 0.22a |
Total organic C (%) | 1.35 ± 0.04c | 1.59 ± 0.08b | 1.67 ± 0.04b | 2.26 ± 0.09a |
DOC (mg g − 1) | 0.01 ± 0.00c | 0.03 ± 0.00b | 0.03 ± 0.00b | 0.05 ± 0.00a |
Total N (‰) | 1.10 ± 0.00b | 1.94 ± 0.01a | 1.97 ± 0.01a | 1.69 ± 0.01a |
Active carbonate (g kg − 1) | 4.32 ± 0.40a | 4.14 ± 0.21a | 4.11 ± 0.41a | 3.29 ± 0.55a |
Extractable P (mg kg − 1) | 0.33 ± 0.02c | 3.35 ± 0.27b | 4.34 ± 0.08a | 3.48 ± 0.36ab |
CEC (cmol(+) kg − 1) | 4.64 ± 0.37b | 12.8 ± 0.71a | 12.9 ± 0.32a | 13.9 ± 0.63a |
Total PTEs (mg kg − 1) | | | | |
As | 38.2 ± 1.19a | 34.8 ± 1.18a | 35.5 ± 0.90a | 37.3 ± 1.26a |
Cd | 50.8 ± 2.84a | 50.5 ± 2.89a | 48.5 ± 2.67a | 40.7 ± 2.99a |
Pb | 2664 ± 39.1a | 2658 ± 30.7a | 2660 ± 75.4a | 2599 ± 66.4a |
Sb | 412 ± 25.5a | 411 ± 17.9a | 409 ± 16.2a | 411 ± 16.2a |
Zn | 7510 ± 274a | 7554 ± 322a | 7569 ± 287a | 7545 ± 287a |
USDA Texture | Coarse sand soil | |
Although previous studies (e.g., Fagnano et al., 2011; Huang et al., 2016) recommended an annual addition of compost to the soil, our results show the effectiveness of a single application over a medium to long term. The addition of MSWC increased soil fertility (e.g., organic matter and CEC) and the concentrations of essential plant nutrients (N total and extractable P), creating the preconditions for the establishment of a permanent plant cover. This represents a necessary key step in restoring the ecological functionality of PTEs-contaminated soils characterised by a poor fertility status.
Influence of MSWC on PTEs mobility as assessed through sequential extraction procedures (SEP)
The mobility of PTEs in the soil samples was studied through different sequential extraction procedures based on the cationic or anionic nature of the PTEs. In both procedures, F1 and F2 are the most relevant fractions from an environmental point of view, since they represent the most mobile and easily available PTEs pools for plant (Fig. 1 and 2). The F1 of Sb and As in the different soils was less than 1.0 mg kg-1 and was significantly higher in the control soil than in the MSWC-treated ones (i.e., up to 77 and 70%, for Sb and As respectively) (Fig. 1). The immobilizing capability of MSWC can be attributed to the formation of stable interactions between the HAsO 2- or Sb(OH) ˉ oxyanions (the dominant As and Sb species in aerobic soils) with different functional groups of compost, such as oxy-carboxylic acids and polyols (Diquattro et al., 2018, 2021b; Dominguez et al., 2019; Garau et al., 2017; Picariello et al., 2021). In addition, the formation of ternary complexes in which polyvalent metal cations (released by compost) like Ca2+ or Mg2+ acted as bridging elements between the negatively charged functional groups of MSWC and arsenate or antimonate anions, as well as the co-precipitation of the latter with metals in compost (i.e., Ca2+), may have contributed to the immobilization of PTEs (Lyu et al., 2023; Pintor et al., 2021). Similarly, the Cd-F1 was significantly reduced after 6 years since compost addition (e.g., < 27% in MSWC 4.5% with respect to control), while no significant (p> 0.05) changes were observed for Pb-F1 (Fig. 2). On the opposite, an increase was observed for Zn-F1 in the compost amended soils (e.g., +28% in MSWC 4.5% with respect to control; Fig. 2). This latter could be attributed to the formation of soluble complexes between Zn and DOC, as well as to exchange reactions between divalent cations present in compost (e.g., Ca and Mg) and Zn adsorbed on soil colloids (Paradelo et al., 2018).
F2 of As and Sb (i.e., the non-specifically adsorbed fraction) was lower in the amended soils compared with the control (e.g., -33.5% for Sb and − 32.0% for As in MSWC 4.5% compared to control; Fig. 1). With regard to F3, which quantifies the Sb and As specifically adsorbed on the solid phase surface through inner- sphere complexes, a significant decrease of Sb-F3 was observed in the MSWC 4.5%-treated soil (i.e., − 20%) compared with control soil; while no changes were detected in As-F3 (Fig. 1). Similarly, Garau et al. (2019) observed a reduction of the Sb released with (NH4)H2PO4 in the short-term (i.e., after 4 months since MSWC addition), while compost addition did not affect the release of As. The F2 of Cd and Zn decreased in MSWC-treated soils, while the F2 of Pb was not significantly influenced by the treatments (Fig. 2). The F3 increased in all amended soils: e.g., + 21, +23 and + 15% for Cd, Pb and Zn in MSWC 4.5% respectively, with respect to C-soil; Fig. 2. This result is a significant outcome from an environmental point of view, since this step of the sequential extraction quantifies hardly bioavailable or hardly leachable PTEs (Garau et al., 2019; 2021).
The not readily mobile PTEs pool (i.e., residual fraction of Sb, As, Cd, Pb, and Zn; F4) represented more than 30% of pseudo-total PTEs (Fig.s1 and 2). The residual Sb, As and Zn fractions were higher in amended soils, particularly in those which received the highest MSWC rates (e.g., > 32, 13 and 15% in MSWC 4.5% respectively, compared to control); suggesting the occurrence of stable and long-lasting interactions between MSWC and PTEs. On the other hand, the long term effect of the MSWC amendment did not significantly affect the residual fraction of Cd, while that of Pb was higher in the control soil (e.g., -10.5% in the MSWC 4.5% soil). We attributed this result to the increased formation of strong complexes between Pb and organic matter in the MSWC, as evidenced by the rise of Pb extracted with Na2-EDTA (i.e., F3) (Ozbas and Catalbas, 2021).
The experimental results suggest that the PTE-MSWC interaction mechanisms were stable in the long term, and contributed to the reduction of the most environmentally hazardous fraction of PTEs
Influence of MSWC on PTEs distribution as assessed through XRPD and µXRF
The control and the MSWC amended soils were analyzed for mineralogy. However, only at the maximum-rate of amendment (e.g., MSWC 4.5%) we observed differences between the amended and control soils, and therefore only the results of the latter sample have been reported. For both control and MSWC 4.5%, the most abundant minerals detected were silicates and aluminosilicates; indeed, most diffraction peaks testify the prevalent presence of quartz and illite/muscovite, the latter showing less intense peaks in the amended soil (Fig. 3). Moreover, among the phases, the presence of sphalerite (ZnS) is clearly highlighted by some characteristic peaks (e.g., those visible at 2θ = 28.56 and 2θ = 47.52, 100% and 50% diffraction intensities, respectively). Despite the great similarity between the diffractograms of control and MSWC 4.5% (Fig. 3), some small differences were observed, that were associated to changes in the soil mineralogy that occurred over time after the addition of MSWC. First, mineral gypsum (2θ = 11.62 and 2θ = 20.74) was detected only in the control soil; further, a clear calcite peak at 2θ = 29.36 (100% diffraction intensity) was visible in the MSWC-amended soil, while it was weakly visible in the control. No peaks attributable to Pb, As, Cd and Sb mineral phases were identified by XRPD, due to either the low crystallinity of their compounds or to their concentration below the limit of detection of the instrument.
Therefore, aiming to gain more information on the distribution of PTEs and their fate after treatment with MSWC, a µXRF analysis was carried out (Fig. 4). This technique allows the direct insight into the spatial distribution of elements within the soil solid fraction, thus providing valuable information to assess and/or predict the possible mobilization of PTEs based on their correlation with other elements (Porfido et al., 2022). Further, as in the case of the present study, µXRF allows visualizing changes in the distribution of elements in soil as a consequence of a treatment (i.e., MSWC amendment), with a focus on PTEs. The distribution maps of the main elements detected through µXRF, including Zn and Pb (As, Sb and Cd were below the limit of detection of the instrument) analysis are shown for control and MSWC 4.5% (Fig. 4). Aluminium, Si, K and Fe were the most abundant elements detected and widely distributed over the soil sections, being the main constituents of the mineral fraction. On the basis of the XRPD results, the portions of the slabs where the solely Si is detected were ascribed to quartz grains. Instead, when Si correlates with Al and K (see Al/Si/K multilayer distribution map in Fig. 4) its presence was attributed to aluminosilicates, e.g. illite-muscovite and feldspars.
In both soils, sulphur showed noticeable correlations with Zn and, although to a lesser extent, with Pb (Fig. S1). The S/Ca correlation was yet found only in the control soil (Fig. S1): indeed, there is no longer coincidence between S and Ca signals in MSWC 4.5% µXRF maps (Fig. 4). As such, µXRF confirms the
presence of gypsum only in the control soil (as expected from XRPD results) and the loss of such phase after the MSWC addition. Gypsum has been described in a previous study as a secondary mineral at the Argentiera site (Ara et al., 2013). In both soils, Ca correlated also with P (Fig. 4 and Fig. S1): this indicates that also Ca-phosphates were present, even if not previously detected by XRPD. In the amended soil, a higher concentration of Ca-P-rich particles can be seen (Fig. 4) that, along with other smaller particles in which Ca did not correlate with any other detected element (thus explainable as Ca-carbonate or as Ca-rich organic matter) were probably introduced with the compost. Mn, Fe, Zn and Pb were concentrated in grains that appeared darker at the light microscope, and in many cases formed encrustations around quartz or silicate grains. Sulphur correlation with Zn and Pb is attributable to sulfides, such as sphalerite (as observed by the XRPD technique) and galena, which are typical minerals of the Argentiera mining site, or sulphate as well. Such correlations persist after the amendment (Fig. S1), as expected from XRPD results, which showed the presence of sphalerite also in the MSWC 4.5% soil. In both control and MSWC 4.5% soils, Zn and Pb signals overlap in several soil particles with those of Mn and Fe (Fig. 4), suggesting possible adsorption process on Fe/Mn (hydro)oxides. This latter correlation was likely enhanced in MSWC 4.5%, based on the slightly increase of Zn/Fe and Pb/Mn ratios (Fig. S1). Besides, as it can be observed through the element distribution maps (Fig. 4), in most particles containing Zn and Pb of both treated and untreated soils, these elements do not show correlation with other elements. In such particles, Zn and Pb could therefore occur as carbonates, which are typical weathering phases in sub-alkaline and alkaline soil conditions (C and O are not detectable by µXRF), as well as forming complexes with the oxygenated organic functional groups of MSWC.
Overall, the combination of XRPD and µXRF analysis showed that no changes occurred in PTEs spatial distribution and mineralogy within the soil after the MSWC treatment, except for the increase in either the adsorption on Fe-Mn (hydro)oxides and in the complexing with the organic matter introduced. These results are consistent with those get through the sequential extraction analysis (which showed an increase of Zn mobility and suggested the formation of strong complexes between Pb and the organic matter of the MSWC, see paragraph 3.2). Further, an interesting outcome of XRD and µXRF analyses is the loss of Ca-sulphate after the MSWC application to soil. The Ca-sulphate could have been used by the colonizing vegetation as a source of Ca and/or by sulphate-reducing soil bacteria.
PTEs distribution in the soil particle-size fractions
The physical separation of control and MSWC-amended soil samples in particle-size fractions (< 2, 2–10, 10–20, 20–50 and 50-2000 µm) evidenced a large occurrence of coarse sand particles (50-2000 µm), representing 77–81% of the total weight (Fig. S2), and thus, revealing the coarse-textured nature of this soil. The remaining fractions were quite uniformly distributed in fine sand (20–50 µm), course silt (10–20 µm), fine silt (2–10 µm) and clay (< 2 µm) particles. The last two fractions (< 10 µm), whose sum ranged from 10 to 14% of the total weight (Fig. S2), are the most concerning for the environment and human health, since they can contribute to airborne PM10 and PM2.5, when eroded by the wind and dispersed into the atmosphere (Khelifi et al., 2021).
The evaluation of the pseudo-total PTE concentrations in the different particle size fractions of the mining soil samples (Tables 2–3) revealed, as is well known, a significant tendency of PTEs to accumulate in the finer particle size fractions (i.e., < 2 and 2–10 µm) Soil amendment with MSWC did not produce significant differences in the PTE pseudo-total concentrations, in comparison to the control, except for Sb. This was conceivable, because soil amendment with organic matter can strongly affect the PTEs bioavailability, but not their total content in soil (apart from a negligible dilution effect).
Table 2
Pseudo-total (PS-TOT), and bioaccessible fractions (from G to CEN) of Zn, Pb and Cd in particle-size fractions of control and MSWC amended soils, extracted by: gastric (G) and gastro-intestinal (GI) solutions, lysosomal (ALF) and lung interstitial (GAM) fluids, acid (NIHS) and neutral (CEN) synthetic sweats
Source of variance | PS-TOT | G | GI | ALF | GAM | NIHS | CEN |
mg kg − 1 |
Zn | | | | | | | |
< 2 µm | 18575a | 9627a | 4766a | 14399a | 30a | 12671a | 84 |
2–10 µm | 12398b | 6979b | 3359b | 9898b | 13b | 9879a | 197 |
10–20 µm | 9379c | 4378c | 2047b | 6256c | 10b | 5630b | 41 |
20–50 µm | 11327bc | 4524c | 2011b | 6404c | 11b | 5211b | 23 |
Particle size (PS) | ** | *** | * | *** | ** | ** | ns |
Control | 12900 | 6662 | 2908 | 9548a | 10c | 8946 | 68 |
MSWC 1.5% | 14123 | 6647 | 3479 | 9733a | 17b | 9168 | 157 |
MSWC 3.0% | 11157 | 5397 | 2782 | 7480b | 29a | 7010 | 108 |
MSWC 4.5% | 13520 | 6515 | 3152 | 9888a | 14bc | 7668 | 31 |
Compost rate (CR) | ns | ns | ns | * | ** | ns | ns |
PS x CR | ns | ns | ns | ns | * | ns | ns |
Pb | | | | | | | |
< 2 µm | 5704a | 2655a | 561 | 3445a | 7.3a | 716 | 2.4 |
2–10 µm | 3980b | 2194b | 540 | 2569b | 2.8b | 739 | 2.2 |
10–20 µm | 3038c | 1678c | 538 | 1964c | 2.7b | 617 | 1.4 |
20–50 µm | 3600bc | 1899bc | 641 | 2200bc | 2.7b | 560 | 0.8 |
Particle size (PS) | ** | * | ns | ** | *** | ns | ns |
Control | 3778 | 1927 | 383 | 2331 | 2.1c | 611 | 1.3 |
MSWC 1.5% | 4584 | 2379 | 760 | 2834 | 3.7b | 773 | 3.3 |
MSWC 3.0% | 4135 | 2282 | 751 | 2585 | 8.0a | 733 | 1.5 |
MSWC 4.5% | 4126 | 2017 | 570 | 2642 | 3.1bc | 562 | 0.9 |
Compost rate (CR) | ns | ns | ns | ns | *** | ns | ns |
PS x CR | ns | ns | ns | ns | ** | ns | ns |
Cd | | | | | | | |
< 2 µm | 37a | 24a | 17a | 30a | 0.24 | 29a | 1.3 |
2–10 µm | 25bc | 17b | 12b | 20b | 0.17 | 21b | 2.1 |
10–20 µm | 23c | 13c | 9.1b | 16c | 0.13 | 15c | 0.7 |
20–50 µm | 30b | 14c | 9.5b | 17bc | 0.16 | 16c | 0.5 |
Particle size (PS) | * | ** | * | ** | ns | ** | ns |
Control | 28 | 18 | 13 | 21 | 0.14 | 22 | 1.1 |
MSWC 1.5% | 31 | 17 | 12 | 21 | 0.22 | 21 | 1.7 |
MSWC 3.0% | 25 | 15 | 11 | 17 | 0.22 | 19 | 1.2 |
MSWC 4.5% | 29 | 17 | 12 | 22 | 0.16 | 19 | 0.6 |
Compost rate (CR) | ns | ns | ns | ns | ns | ns | ns |
PS x CR | ns | ns | ns | ns | ns | * | ns |
For the sake of clarity, this wide table shows only the mean values, not followed by standard errors. Particle size (PS), Compost rate (CR) and their interactions were compared by two-way ANOVA, Duncan’s multiple-range test (* p < 0.05; ** p < 0.01; *** p < 0.001; ns: not significant). Different lowercase letters within each column indicate significant differences (p < 0.05). |
Table 3
Pseudo-total (PS-TOT), and bioaccessible fractions (from G to CEN) of Sb and As in particle-size fractions of control and MSWC amended soils extracted by: gastric (G) and gastro-intestinal (GI) solutions, lysosomal (ALF), and lung interstitial (GAM) fluids, acid (NIHS) and neutral (CEN) synthetic sweats
Source of variance | PS-TOT | G | GI | ALF | GAM | NIHS | CEN |
mg kg − 1 |
Sb | | | | | | | |
< 2 µm | 1399a | 25a | 56a | 524a | 5.5a | 96a | 1.2 |
2–10 µm | 856b | 18b | 52ab | 307b | 2.6b | 100a | 0.7 |
10–20 µm | 541c | 13b | 44b | 179c | 1.9b | 79ab | 0.6 |
20–50 µm | 554c | 12b | 45b | 153c | 1.8b | 63b | 1.0 |
Particle size (PS) | *** | * | * | *** | ** | * | ns |
Control | 795c | 15 | 41c | 274 | 3.0 | 74b | 0.9 |
MSWC 1.5% | 902a | 21 | 62a | 328 | 2.4 | 108a | 0.7 |
MSWC 3.0% | 841b | 20 | 56ab | 284 | 3.1 | 93ab | 0.8 |
MSWC 4.5% | 856b | 15 | 47bc | 295 | 3.3 | 73b | 1.0 |
Compost rate (CR) | ** | ns | * | ns | ns | * | ns |
PS x CR | ** | ns | ns | ns | ns | ns | ns |
As | | | | | | | |
< 2 µm | 131a | 7.8a | 4.0c | 20a | 3.4a | 0.41 | 0.16 |
2–10 µm | 83b | 7.2a | 7.5a | 14b | 1.9b | 0.21 | 0.16 |
10–20 µm | 52c | 4.9b | 6.6ab | 8.6c | 1.0b | 0.30 | 0.16 |
20–50 µm | 54c | 4.0b | 5.3bc | 6.4c | 0.9b | 0.20 | 0.17 |
Particle size (PS) | ** | * | * | ** | * | ns | ns |
Control | 91 | 6.6 | 6.0 | 14 | 2.4 | 0.31 | 0.13 |
MSWC 1.5% | 70 | 5.9 | 6.4 | 12 | 1.2 | 0.36 | 0.15 |
MSWC 3.0% | 73 | 5.7 | 6.2 | 11 | 1.4 | 0.36 | 0.19 |
MSWC 4.5% | 75 | 5.1 | 4.7 | 10 | 1.6 | 0.06 | 0.22 |
Compost rate (CR) | ns | ns | ns | ns | ns | ns | ns |
PS x CR | ns | ns | ns | ns | ns | ns | ns |
For the sake of clarity, this wide table shows only the mean values, not followed by standard errors. Particle size (PS), Compost rate (CR) and their interactions were compared by two-way ANOVA, Duncan’s multiple-range test (* p < 0.05; ** p < 0.01; *** p < 0.001; ns: not significant). Different lowercase letters within each column indicate significant differences (p < 0.05). |
The distribution of PTEs in the different particle-size fractions - namely the product of the element concentration in the fraction (Tables 2–3 and S2) for the abundance of the fraction (Fig. S2) - is shown in Fig. 5. A large proportion of PTEs content (≥ 50%, Fig. 5) was distributed in the coarsest particle-size fraction (50-2000 µm; the most abundant in all the soil samples: 77–81% of the total weight, Fig. S2), containing particles which are prone to sedimentation and do not reside in the air for enough time to pose risks for human health (Schaider et al., 2007). We also observed a higher occurrence of cationic PTEs (Zn, Pb and Cd) in the coarsest fraction than that of anionic PTEs (Sb and As). However, a significant content of PTEs also accumulated in the fine particle-size fractions (2–10 and < 2 µm): on average, 18% of total Zn, 22% of total Pb, 13% of total Cd, 37% of total Sb and 32% of total As (Fig. 5). These fine particles are the greatest concern for human health, since soil particulate < 10 µm has the potential to enter in the human tracheobronchial (PM10) and alveolar (PM2.5) regions. Ljung et al. (2006) and Ajmone-Marsan et al. (2008) also observed a significant accumulation of As and Cu in fine soil particle-size fractions (< 50 µm for As; <2 µm for Cu). A similar trend of As in gold mine tailings was described by Meunier et al. (2011). The input of MSWC into the soil at increasing rates did not significantly change the distribution of PTEs in the soil particle-size fractions (Fig. 5). However, the addition of MSWC at higher rates (3.0% and 4.5%) slightly reduced the distribution of PTEs (except Pb) in the finer soil fractions (2–10 and < 2 µm) and increased that in the coarser soil particles (50-2000 µm).
Oral, lung and dermal bioaccessibility of PTEs
The bioaccessible fractions of PTEs from the four finer particle-size fractions (20–50, 10–20, 2–10 and < 2 µm) of the control and MSWC-amended soils, are reported in Table 2 for Zn, Pb and Cd, and Table 3 for Sb and As. The relative bioaccessibility (RB) of these PTEs is provided in Tables S3 and S4. In both the soil samples, the bioaccessibility was higher in the acid fluids (G, ALF and NIHS) compared to neutral mimicking solutions (GI, GAM and CEN) for all the PTEs considered (Tables 2–3). Therefore, the pH and the chemical composition (nature and concentration of salts, organic compounds, amino acids, large- molecular-mass proteins, antioxidants, etc.) of these formulations have strongly affected the bioaccessibility of PTEs (Khelifi et al., 2021). In fact, many organic chemicals of the synthetic fluids can exert a strong complexing capacity towards soil PTEs (Hedberg et al., 2011). A higher bioaccessibility of the PTEs in the acid vs. neutral synthetic formulations was also found by Khelifi et al. (2020) (digestive juices), Gosselin and Zagury (2020) (respiratory fluids), and Chaparro Leal et al. (2018) (dermal fluids). All synthetic formulations extracted greater bioaccessible fractions of each PTE from the fine particle-size fractions (< 2 and 2–10 µm) than from the coarse particles (10–20 and 20–50 µm) (p < 0.05, in the most of the cases; Tables 2–3). This was basically due to the higher PTEs content loaded in the smaller particles, which have a high specific surface area and thus a high capacity to adsorb PTEs (see also column PS-TOT in Tables 2 and 3), as well as a higher concentration of organic matter, Fe/Al oxides, and clay minerals and a lower biodurability in the body fluids (Li et al., 2020). These findings make the finer particle-size fractions (< 2 and 2–10 µm) even more dangerous for human health, since they can easily enter the human body through inhalation, dermal contact and accidental ingestion (Kastury et al., 2017).
The amendment of soil with increasing rates of MSWC did not produce significant variations in the bioaccessibility of the PTEs in the soil particle-size fractions, except in a few cases (i.e., Zn: ALF and GAM; Pb: GAM; Sb: GI and NIHS; Tables 2–3). Accordingly, the interaction between the two factors, particle size (PS) and compost rate (CR) was rarely statistically significant (except for Zn: GAM; Pb: GAM; Cd: NIHS; Table 2). Similarly, non-significant variations of the PTEs bioaccessibility, after application of compost and microbial biostimulant to a contaminated soil of Southern Italy, were also observed by Visconti et al. (2023). The small effect of MSWC on PTEs bioaccessibility may be due to the specific extraction conditions, such as very low pH value, 24-h reaction time, etc. Consequently, in the milder extraction, i.e. Gamble’s sub-neutral solution (GAM), a significant effect of MSWC application on Zn and Pb bioaccessibility was observed (Table 2). In these two cases, the higher bioaccessibility was basically associated with small particles (< 2 µm) and medium MSWC rates (3.0% − 1.5%), while the lowerbioaccessibility was observed with coarser particles (20–50 µm − 10–20 µm) and unamended soil (control).
The analysis of the relative bioaccessibility (RB) of PTEs (Tables S3 - S4) in relation to the synthetic fluids used showed that the cationic PTEs were more bioaccessible than the anionic ones: Cd (41 and 96% of mean and max RB respectively; mean and max calculated considering all the 6 synthetic fluids and all the 16 cases deriving from the PS x CR factorial combination) and Zn (mean RB: 34%; max RB: 97%) were the most bioaccessible PTEs; Pb (mean RB: 24%; max RB: 68%) was highly bioaccessible as well. The anionic elements, such as Sb (mean RB: 9%; max RB: 42%) and As (mean RB: 6%; max RB: 19%), were the least bioaccessible (Tables S3-S4). These findings are consistent with those of Schaider et al. (2007) and Khelifi et al. (2020; 2021), which found that Cd was more bioaccessible than Zn and Pb in size- fractionated waste from a mining area of USA, and soil/sediments/tailings from a phosphate-mining area of Tunisia, respectively. Unlike cationic PTEs, anionic PTEs (i.e., Sb and As) are less soluble at acid pH, because they can be stably adsorbed on positively-charged minerals, such as Al and Fe (hydr)oxides (Caporale and Violante, 2016), and/or can form stable precipitates with soluble Fe3+ and/or Al3+. This different chemical behavior can explain, at least in part, the low bioaccessibility of Sb and As, in particular when extracted with acid synthetic fluids (Tables S3-S4). A pH-dependent bioaccessibility of Cd, Pb, Sb, and As was also described by Denys et al. (2012) in a validation study of the UBM (i.e., Unified BARGE Method) through a juvenile swine model, on 16 contaminated smelting/mining soils.
Regarding the synthetic fluids, the highest RB was achieved with ALF solution (on average, 51% for all the PTEs; 68% for the cationic PTEs; 24% for the anionic PTEs; mean values calculated considering all the 5 PTEs or only the cationic or anionic ones, and all the 16 cases deriving from the PS x CR factorial combination), followed by G > NIHS > GI > CEN > GAM. The chemical composition and the pH of the synthetic fluids, matched with the reaction time, the chemical properties of the PTEs, and possible interactions between them and the added chemicals, are the key factors behind the results obtained (Gosselin and Zagury, 2020; Khelifi et al., 2021).
Risk assessment
The NCR and CR health risks for adults and children due to ingestion, dermal contact and inhalation of bioaccessible fractions of PTEs extracted from medium-fine particle-size fractions (< 10 µm via inhalation; <50 µm via ingestion and dermal contact) of MSWC-treated and untreated soil samples, are provided in Table 4.
Table 4
Non-carcinogenic (NCR) and carcinogenic (CR) health risks for adults and children, due to ingestion, dermal contact and inhalation of bioaccessible fractions of PTEs (i.e., Zn, Pb, Cd, Sb and As) extracted from medium-fine particle-size fractions (< 10 µm via inhalation; <50 µm via ingestion and dermal contact) of control and MSWC amended soils
Source of variance | Adults | | Children |
NCR | HQ As | HQ Sb | HQ Cd | HQ Pb | HQ Zn | HI PTEs | | HQ As | HQ Sb | HQ Cd | HQ Pb | HQ Zn | HI PTEs |
Ingestion | 5.5E−02a | 2.3E−01a | 4.1E−02a | 1.1E + 00a | 4.5E−02a | 1.4E + 00a | | 5.1E−01a | 2.2E + 00a | 3.8E−01a | 1.0E + 01a | 4.2E−01a | 1.3E + 01a |
Dermal contact | 2.1E−05b | 5.9E−02b | 1.2E−02b | 6.9E−03b | 8.1E−04b | 7.9E−02b | | 1.3E−04b | 3.8E−01b | 8.1E−02b | 4.5E−02b | 5.3E−03b | 5.2E−01b |
Inhalation | 3.6E−04b | 1.8E−05c | 2.1E−08c | 3.1E−07b | 1.7E−08b | 3.7E−04b | | 6.6E−05b | 4.7E−04c | 1.1E−05c | 3.5E−04b | 1.7E−05b | 9.2E−04b |
Exposure route (ER) | *** | *** | *** | *** | *** | *** | | *** | *** | *** | *** | *** | *** |
Control | 2.0E−02 | 8.3E−02 | 1.9E−02 | 3.1E−01 | 1.6E−02 | 4.5E−01 | | 1.9E−01 | 7.2E−01 | 1.7E−01 | 2.9E + 00 | 1.5E−01 | 4.1E + 00 |
MSWC 1.5% | 1.9E−02 | 1.3E−01 | 1.8E−02 | 4.3E−01 | 1.7E−02 | 6.1E−01 | | 1.8E−01 | 1.1E + 00 | 1.6E−01 | 4.0E + 00 | 1.6E−01 | 5.6E + 00 |
MSWC 3.0% | 1.8E−02 | 1.1E−01 | 1.6E−02 | 4.0E−01 | 1.3E−02 | 5.5E−01 | | 1.7E−01 | 9.4E−01 | 1.4E−01 | 3.7E + 00 | 1.2E−01 | 5.1E + 00 |
MSWC 4.5% | 1.5E−02 | 8.7E−02 | 1.7E−02 | 3.4E−01 | 1.5E−02 | 4.7E−01 | | 1.3E−01 | 7.7E−01 | 1.5E−01 | 3.2E + 00 | 1.4E−01 | 4.3E + 00 |
MSWC rate (CR) | ns | ns | ns | ns | ns | ns | | ns | ns | ns | ns | ns | ns |
ER x CR | ns | ns | ns | ns | ns | ns | | ns | ns | ns | ns | ns | ns |
CR | CR As | CR Sb | CR Cd | CR Pb | CR Zn | CR PTEs | | CR As | CR Sb | CR Cd | CR Pb | CR Zn | CR PTEs |
Ingestion | 1.1E−05a | - | 1.1E−04 | 4.4E−01 | - | 4.4E−01a | | 1.0E−04a | - | 1.0E−03 | 4.1E + 00 | - | 4.1E + 00a |
Dermal contact | 6.9E−10b | - | - | - | - | 6.9E−10b | | 4.5E−09b | - | - | - | - | 4.5E−09b |
Inhalation | 1.9E−10b | - | 6.1E−10 | 1.1E−05 | - | 1.1E−05b | | 5.3E−10b | - | 1.7E−09 | 2.9E−05 | - | 2.9E−05b |
Exposure route (ER) | *** | | *** | *** | | *** | | *** | | *** | *** | | *** |
Control | 4.0E−06 | - | 5.8E−05 | 1.9E−01 | - | 1.3E−01 | | 3.7E−05 | - | 5.4E−04 | 1.8E + 00 | - | 1.2E + 00 |
MSWC 1.5% | 3.8E−06 | - | 5.5E−05 | 2.6E−01 | - | 1.8E−01 | | 3.6E−05 | - | 5.1E−04 | 2.5E + 00 | - | 1.6E + 00 |
MSWC 3.0% | 3.5E−06 | - | 4.7E−05 | 2.5E−01 | - | 1.6E−01 | | 3.3E−05 | - | 4.4E−04 | 2.3E + 00 | - | 1.5E + 00 |
MSWC 4.5% | 2.9E−06 | - | 5.2E−05 | 2.1E−01 | - | 1.4E−01 | | 2.7E−05 | - | 4.9E−04 | 1.9E + 00 | - | 1.3E + 00 |
MSWC rate (CR) | ns | | ns | ns | | ns | | ns | | ns | ns | | ns |
ER x CR | ns | | ns | Ns | | ns | | ns | | ns | ns | | ns |
Exposure route (ER), Compost rate (CR) and their interactions were compared by two-way ANOVA, Duncan’s multiple-range test (* p < 0.05; ** p < 0.01; *** p < 0.001; ns: not significant). Different lowercase letters within each column indicate significant differences (p < 0.05). HQ indicates Hazard Quotient, HI stands for Hazard Index. |
Data analysis highlighted that children exposed to soil particulate matter from Argentiera mining site are subject to higher NCR and CR risks than adults (Table 4). This is basically due to the relatively higher dose of PTEs that can enter a lighter human body, the higher breathing frequency, the duration of outdoor activities and so on (Buonanno et al. 2013; Yang et al. 2014). According to the USEPA-based risk assessment, oral ingestion was the riskiest exposure way, as it produces a significantly higher Hazard Quotient (HQ, Supplementary text) and CR than dermal contact and inhalation (Table 4). Similarly, the ingestion of PTEs was the route that primarily contributed to rise of NCR and CR risks in similar case studies (Khelifi et al., 2021; Yu and Yang, 2019; Visconti et al., 2023; Zhao et al., 2014).
Among the PTEs, Pb showed the highest HQ (for both adults and children, considering all the exposure routes and all the experimental treatments; Table 4), because of its high toxicity (leading to low reference values) and high content in fine particle-size fractions; then, Sb was the second most risky PTE, followed by Cd and As which contributed similarly to the overall NCR and CR risks (Table 4). The ingestion HQ of Zn (the most abundant element in the site) was also consistent with that of Cd and As, while the dermal and inhalation HQs were lower in comparison to the other more toxic PTEs.
The sum of the ingestion HQs of each PTE resulted in a Hazard Index (HI) greater than 1, namely a trigger value indicating possible serious non-carcinogenic effects on human health (US EPA, 2011). Accordingly, the sum of the ingestion CR of each PTE also resulted in values of concern (magnitude of 10−1). In general, CR values lower than 10− 6 are considered negligible, while those above 10− 4 are considered harmful and can lead to serious carcinogenic effects on human health (US.EPA, 2011). The worrying results of the risk assessment were largely affected by the parameters associated with each exposure pathway (US.EPA, 2011) and the PTE-specific reference values (related to the toxicity of each PTE). In other words, the real risks to human health are probably lower than those estimated by the risk assessment (Table 4), if we consider the nature, geochemical distribution and mobility of the PTEs analysed in the study area (Figs. 1 and 2).