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. Author manuscript; available in PMC: 2016 Jun 15.
Published in final edited form as: Sci Total Environ. 2015 Mar 13;0:507–517. doi: 10.1016/j.scitotenv.2015.02.072

Metal contamination of home gardens soils and cultivated vegetables in the province of Brescia, Italy: Implications for human exposure

Roberta Ferri 1, Dana Hashim 2, Donald R Smith 3, Stefano Guazzetti 4, Filippo Donna 1, Enrica Ferretti 5, Michele Curatolo 5, Caterina Moneta 5, Gian Maria Beone 6, Roberto G Lucchini 1,2,3
PMCID: PMC4388796  NIHMSID: NIHMS672428  PMID: 25777956

Abstract

Background

For the past century, ferroalloy industries in Brescia province, Italy produced particulate emissions enriched in manganese (Mn), lead (Pb), zinc (Zn), copper (Cu), cadmium (Cd), chromium (Cr), iron (Fe), aluminum (Al). This study assessed metal concentrations in soil and vegetables of regions with varying ferroalloy industrial activity levels.

Methods

Home gardens (n=63) were selected in three regions of varying ferroalloy plant activity duration in Brescia province. Total soil metal concentration and extractability were measured by X-ray fluorescence (XRF), aqua regia extraction, and modified Community Bureau of Reference (BCR) sequential extraction. Unwashed and washed spinach and turnips cultivated in the same gardens were analyzed for metal concentrations by flame atomic absorption spectrometry.

Results

Median soil Al, Cd, Fe, Mn, Pb, and Zn concentrations were significantly higher in home gardens near ferroalloy plants compared to reference home gardens. The BCR method yielded the most mobile soil fraction (the sum of extractable metals in Fractions 1 and 2) and all metal concentrations were higher in ferroalloy plant areas. Unwashed spinach showed higher metal concentrations compared to washed spinach. However, some metals in washed spinach were higher in the reference area likely due to history of agricultural product use. Over 60% of spinach samples exceeded the 2- to 4-fold Commission of European Communities and Codex Alimentarius Commission maximum Pb concentrations, and 10% of the same spinach samples exceeded 2- to 3-fold maximum Cd concentrations set by both organizations. Turnip metal concentrations were below maximum standard reference values.

Conclusions

Prolonged industrial emissions increase median metal concentrations and most soluble fractions (BCR F1+F2) in home garden soils near ferroalloy plants. Areas near ferroalloy plant sites had spinach Cd and Pb metal concentrations several-fold above maximum standard references. We recommend thoroughly washing vegetables to minimize metal exposure.

Keywords: metal, phytoavailability, ferroalloy industry emissions, vegetables, plant uptake, modified BCR sequential extraction procedure, Brescia, Italy

1. INTRODUCTION

Metal soil contamination resulting from anthropogenic activities has been demonstrated to be associated with health risks in nearby populations (Carrizales et al., 2006; Hinwood et al., 2004; Pruvot et al., 2006). Young children are highly susceptible to metal exposure via hand-to-mouth routes (Wang et al., 2010; Calabrese et al, 1997). Other exposure routes via inhalation/ingestion of re-suspended soil particulates (Harris and Davidson, 2005), and consumption of contaminated locally grown vegetables (Cambra et al, 1999, Hough et al, 2004) also occur in both children and adults. Since many communities rely on home gardens for dietary vegetable consumption, soil metal contaminations is a concern for residents in close proximity to industrial emissions (Yujing et al., 2005; Zheng N. et al., 2007).

Although Manganese (Mn) is a biologically essential mineral, it is also a harmful by-product of ferroalloy metal production. Chronic human Mn exposures may result in toxicity when concentrations exceed the nutritional homeostatic requirement. Higher lifetime Mn exposure was found to significantly increase the prevalence of Parkinsonian disturbances in Brescia province (Lucchini et al, 2007). Additionally, a significant positive association between soil Mn exposure and both impaired motor coordination and odor discrimination were observed among adolescents (Lucchini et al., 2012) and elderly (Zoni et al., 2012; Lucchini et al., 2014) who reside near ferroalloy emission sites located in Valcamonica, a valley in the Brescia province.

This study aimed to estimate the potential exposure among areas in Brescia, Italy with varying histories of ferroalloy activity. We examined concentrations and chemical mobility of typical ferroalloy industrial emission metals, including Mn, aluminum (Al), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), lead (Pb), and zinc (Zn) in home garden soil and vegetables in the province of Brescia, Italy. Soil metal concentrations in ferroalloy-impacted areas were compared to non-ferroalloy areas within the same province.

2. MATERIALS AND METHODS

2.1 Study site

Three areas within the province of Brescia, Italy, were investigated for soil metal concentrations: i) Valcamonica, a pre-Alps valley where three ferroalloy industrial sites had been active for about a century and ceased in 2001; ii) Bagnolo Mella, located in the southern plain of the province, where a ferroalloy plant has been active since the 1970s; and iii) Garda Lake, a region with no history of ferroalloy or other metal industry. Further details on these study areas have been reported (Ferri et al., 2012). In addition to soil sampling, home garden soils and cultivated vegetables were examined for metal analyses. Participating home gardens were 63 in total: 27 in Valcamonica, 9 in Bagnolo Mella and 27 in Garda Lake (Figure 1).

Figure 1.

Figure 1

Collection areas (arrows) and ferroalloy plant locations (pins) in the areas of Valcamonica, Bagnolo Mella, and Garda Lake.

2.2 Soil samples

Approximately 500 g of soil from each of the 63 participating home gardens were collected from February to April 2010 before seasonal planting, in concordance with the official Italian method I.1 for soil chemical analysis (Ministerial Decree 13/09/1999). Each ~500 g soil sample consisted of 10–15 sub-samples of surface soil (~30–50 g per sub-sample, excluding the first 2–3 cm of surface soil) and were collected in dry, clean plastic ziplock bags using an ‘X-shape’ sampling grid across each garden. Information on the sampling area, date and depth of the soil sample, and use of fertilizers was recorded. In addition to home gardens, a series of undisturbed surface soil samples (n=14) were collected at incremental distances (80 m to 22 km) from the ferroalloy plant point sources for comparison with home gardens soils. An aliquot of each sample was screened for total metal concentration using a portable X-Ray Fluorescence (XRF) spectrometer (Niton, ThermoFinnigan). Collected samples were processed and analyzed in the laboratory using a single extraction method of aqua regia with analysis by flame atomic absorption spectroscopy, or using the BCR three step sequential extraction procedures with analysis by inductive-coupled plasma-optical emission spectrometry (ICP-OES).

2.2.1 XRF analyses

Total soil Cu, Cd, Cr, Fe, Mn, Pb, Zn concentrations were determined by portable X-ray spectrometer (model NITON XL3t) equipped with GPS locator. Composite soil sample measurements were taken before sieving and starting the sequential extractions. U.S. standard soil reference materials NIST-2709-a and NIST-2710 were used for XRF calibration before each measurement.

2.2.2 Modified BCR three-step sequential extraction procedure

Each composite soil sample was thoroughly mixed and an aliquot (~1 g ± 10%) was removed and oven-dried (65°C) to a constant weight for 24 h and sieved to <150 μm. A subset of soil samples was processed in triplicate. Sieved soil samples were analyzed with the modified BCR-three step sequential extraction procedure as previously described (Ferri et al., 2012; Pueyo et al., 2008; Rauret et al., 2000; Mossop and Davidson, 2003). First, soil metals were extracted in 40 mL of 0.11 M acetic acid (fraction 1). Second, 40 mL of 0.5 M hydoxylammonium chloride were added to the soil residue from fraction 1 and extracted at pH 1.5 (fraction 2); Next, the soil residue was extracted using 20 mL of 8.8 M Hydrogen Peroxide and 50 mL of 1.0 M Ammonium Acetate (fraction 3); Lastly, the residual soil fraction was then digested in 5 mL of 7.5 N HNO3 at 80°C and extracted (fraction 4).

The modified BCR procedure yielded four fractions per soil sample. Fraction 1 (F1) reflected exchangeable and weak acid-soluble metals, and constituted the most mobile fraction of soil metals potentially available to vegetables. This fraction of metals in the sorption complex is often bound to carbonates (Agnieszka M., 2004). Fraction 2 (F2) contains reducible metals, often associated with Mn and Fe oxides. Fraction 3 (F3) contains oxidizable metals associated with organic matter and sulfides. F3 metals are less mobile compared to F1 and F2, and are often incorporated into stable high molecular weight humic substances (Dilek B. 2011). The residual fraction (R) contains complex metals that are relatively immobile and unavailable for plants (Dilek B. 2011).

Metal extraction efficiency and reproducibility was evaluated using a soil standard reference material processed in triplicate with each soil extraction batch (BCR 483; sewage sludge amended soil certified by the Community Bureau of Reference). The reference material has certified values for Cd, Cr, Cu, Pb and Zn extracted using 0.05 mol L 1 EDTA and 0.43 mol L 1 acetic acid, which indicated readily extractable metal contents using the BCR sequential extraction procedure.

Concentrations of Al, Cd, Cr, Cu, Fe, Mn, Pb, Zn in soil extracts were determined by ICP-OES (Optima 4300 DV Series; PerkinElmer, Inc.) (Borgese et al., 2013). The relative amounts of metals extracted in F1 to R were determined and their sums normalized to 100% and results are described in terms of the percent distribution within each fraction. Total metal concentrations were calculated as the sum of values from all four fractions (F1, F2, F3 and R) obtained by the modified BCR sequential extraction procedure.

Average recovery of metals from the BCR 483 reference material was determined for each metal and fraction. This method resulted in a recovery range of 64–107% for each fraction extracted. The within-sample reproducibility of metal analysis was determined by analyzing a subset of composite soil sample extracts in triplicate. The relative standard error of samples processed and analyzed in triplicate was <5%, which was considered acceptable. Results are expressed as mg metal per kg of dry weight sample.

2.2.3 Aqua regia extraction procedure

The aqua regia procedure was also used to estimate speciation and mobility of metals in the soil. Soil samples were air dried at about 28–30°C in a shady area and ground to pass through a 0.2 mm sieve. Trace elements in soil samples were measured from aqua regia extractions, following the method XI.1 indicated by the specific Italian regulation (Ministerial Decree 13/09/1999).

Samples (~1g) were placed in 250 mL of Erlenmeyer flasks and 20 mL of H2O2 were added gradually to eliminate the organic matter. The suspension was heated and the volume was reduced to ~3 mL. Once cooled to room temperature, 9 mL HCL and 3mL HNO3 were added to the samples and digested for 2 hours. The digested samples were filtered through an ash-free paper filter, diluted to 100 mL with deionized water and stored in polyethylene bottles until analysis. The near-total concentrations of Cd, Cr, Cu, Fe, Mn, Pb and Zn were determined in the digestive sample by F-AAS. Aluminum was not analyzed with the aqua regia procedure.

2.3 Vegetable samples

Two of the commonest vegetable plants in Italian home gardens were selected: spinach (a leafy vegetable) and turnip (a root vegetable). Seeds of spinach ‘Spinacio lorelay’ and turnip ‘Rapa of Milan with violet collar’ were planted in the home gardens of the three study areas by participating gardeners from April to May. Approximately 6 g of spinach seeds were spread over a 1 m2 surface area. Three seeds of turnip were placed in each hollow with a sowing distance of ~20–30 cm between the rows and 15–20 cm on the row. After establishment, seedlings were thinned to one plant per hollow. The healthiest and strongest plants were chosen for analyses.

2.3.1 Samples harvesting and preparation

Plants were grown for 6–8 weeks and then harvested. Participating gardeners followed typical irrigation practices and were asked not to fertilize. Spinach and turnip samples were collected from a total of 47 and 54 home gardens, respectively. For spinach, 21 vegetable samples were collected from Valcamonica, 20 from Garda Lake and 6 from Bagnolo Mella. For turnip, 23 vegetable samples were collected from Valcamonica, 22 from Garda Lake, and 9 from Bagnolo Mella. After harvest and laboratory transportation, edible portions of vegetable sample were prepared for analysis. Edible spinach portions were randomly divided into two fractions. To estimate the amount of soil metals removed by washing, a portion of each vegetable sample was left unwashed and another portion was thoroughly washed with tap water. Washed and unwashed vegetable fractions were analyzed separately. Approximately 300 g of each vegetable fraction were homogenized using a blade homogenizer. Turnips were prepared for analyses by washing with tap water, peeling to remove the skin, and the edible portion of the turnip chopped for subsequent homogenization; ~300 g of chopped turnip was homogenized for digestion.

2.3.2 Digestion and analysis of the vegetable samples

Chemical analyses of vegetables were carried out by the Department of Food Chemistry’s, Metal Laboratory in IZSLER in Brescia, using atomic absorption spectroscopy techniques, according to International Organization for Standardization guidelines. A total of 3 g of homogenized sample was weighed into Teflon vessels, and 2 mL (30% H2O2 and 8 mL 65% HNO3) of trace metal grade were added to each vessel. The vessels were left for ~30 minutes at room temperature and then mineralized in MARSXpress microwave reaction system (CEM Corporation). The microwave and thermal programmes were as follows: Stage: 1; max power (W): 1600; ramp (min): 30.0; temperature: 200°C; hold (min): 20. After mineralization, each sample solution was poured into a 25 mL Class A precision flask and made up to the final volume with Milli-Q water (Millipore Corporation). In digested sample solutions, Pb and Cd were detected and quantified using a graphite furnace atomic absorption spectrometry (GF-AAS) system (model AAS240; Varian, Inc) with Zeeman background correction. Iron, Zn, and Mn were detected and quantified using a F-AAS system (Model 3110; PerkinElmer, Inc) using an air-acetylene flame; Cu was detected and quantified through both systems depending on its concentration in the mineralized sample. The analysis accuracy was evaluated for each batch using a spike recover approach, in which aliquots of vegetable digestates were fortified with known concentrations of metals, blank solutions, and the standard addition method. Concentrations of metals in vegetables are expressed in mg metal kg−1 fresh weight (fw) of vegetable sample. Spike recovery percentages on average were 60% for Cd, 76% for Zn, 82% for Cu and Pb, 83% for Mn and 89% for Fe. The lower value (60%) for Cd was due to the lower fortification than other metals.

2.3.3 Cd and Pb dietary contribution from locally grown vegetables

To assess the contribution of Cd- and-Pb-contaminated vegetables to dietary intake, two consumer groups were considered: children (3–10 years old), and those > 10 years old. To measure mean individual exposure, the FAO/WHO (1997) formula was applied:

Meanvegetablecontaminationlevel(μg/kg)×Meanindividualdailyvegetableconsumption(kg/day)Meanbodyweight(kg)

Mean Pb and Cd exposures were based on locally grown spinach and turnip measurements in the three research sites. The mean individual spinach and turnip consumption for Italian subjects were based on the data reported by Leclercq (2009).

Mean individual exposure results were expressed in μg kg−1 body weight (bw) day−1 and compared to Cd Tolerable Daily Intake (TDI) of 0.36 μg kg−1 bw day−1 threshold set by the European Food Safety Authority (EFSA, 2006 and 2011). Since there is no agreement of a Pb exposure threshold for developmental neurotoxicity in children (< 7 years) and cardiovascular effects and nephrotoxicity in adults, no TDI has been indicated for Pb (EFSA, 2010; WHO, 2010). However, the EFSA established a mean lifetime dietary Pb exposure of 1.03 μg kg−1 bw day−1 for 3–10 yrs old children and of 0.68 μg kg−1 bw day−1 for overall European population (EFSA 2012). Since Pb TDI has not yet been established, the following EFSA estimated benchmark dose levels were used to compare to our calculated individual contamination concentration results: of 0.5 μg kg−1 bw day−1 for developmental neurotoxicity, 1.50 μg kg−1 bw day−1 for effects on systolic blood pressure, 0.63 μg kg−1 bw day−1 for chronic kidney disease.

3. STATISTICAL ANALYSIS

Data were summarized using empirical quartiles. Non-parametric tests (Kruskal-Wallis Test) were applied to compare the distribution of soil and vegetable measures between the three study areas, followed by the post-hoc non-parametric ‘Nemenyi-Damico-Wolfe-Dunn’ test (Hollander, Wolfe 1999). Bland-Altman plots were used to compare metal concentration measurement procedures. A log transformation was applied to stabilize the variance of the mean difference between the measurements. After log transformation was applied, the inverse logarithm of the difference represented the ratio for mean soil concentration measurements obtained. Correlations between fractions of soil metal concentrations and vegetable metal concentrations were determined using Spearman’s rank correlation coefficient. The percentage of metal removal after washing was calculated by: [(unwashed-washed)/unwashed]*100 for each pair of vegetable samples. All statistical analysis were done using R (R Core Team, 2012). For all statistical tests of significance, alpha was set to 0.05.

4. RESULTS

4.1 Elements in soils

Descriptive statistics on soil metal concentration measurements using XRF, BCR modified sequential extraction with ICP-OES, and aqua regia extraction with F-AAS are reported in Table 1. The BCR modified procedure conferred significantly lower median concentration values than XRF, which was expected since the BCR modified procedure does not produce complete soil sample dissolution. Aqua regia extraction produced the highest median soil metal concentrations compared to both BCR modified and XRF procedures for all the analyzed metals except Mn (Supplementary Figure A).

Table 1.

Total soil metal concentrations (expressed in mg kg−1 of dry mater) at three different study areas determined by modified Community Bureau of Reference (BCR) sequential extraction, aqua regia procedure and X-Ray Fluorescence (XRF)

Study sites

Heavy metals Method Valcamonica
Median (IQR)
Bagnolo Mella
Median (IQR)
Garda Lake
Median (IQR)
p values §
Al BCR modified 10514 (4493–19169) 10280 (8030–11803) 6948 (3334–11201) <0.001
Cd BCR modified 2.54 (1.29–4.16) 2.38 (2.05–2.70) 2.04 (1.00–2.60) <0.001
aqua regia procedure 1 (0.00–3.00) 2 (1.00–3.00) 3 (1.00–4.00) 2*
Cr BCR modified 15.63 (6.96–34.4) 18.11 (13.3–30.5) 17.85 (7.21–277) 0.28
aqua regia procedure 93 (47.0–120) 50 (43.00–64.00 77
49.00–690.00
150*
XRF 69.93 (25.1–416) 29.02 (24.2–65.5) 84.21 (36.1–237) <0.001
Cu BCR modified 64.65 (24.8–373) 31.24 (23.8–58.7) 66.69 (23.4–162) 0.005
aqua regia procedure 74 (28.0–410) 43 (30.0–84.0) 87 (36.0–237) 120*
XRF 29037 (16414–37502) 21854 (17547–24508) 15813 (7952–23660) <0.001
Fe BCR modified 14173 (7648–19629) 11768 (8568–13654) 9268 (3431–12570) <0.001
aqua regia procedure 17160 (15920–18040) 17400 (16880–17680) 15680 (13040–17320) <0.001
XRF 1337 (690–2570) 806 (552–1440) 577 (442–893) <0.001
Mn BCR modified 982 (473–2113) 623 (466–1357) 393 (288–747) <0.001
aqua regia procedure 1025 (493–1612) 712 (555–1254) 437 (315–658) <0.001
XRF 62.1 (34.0–127) 45.6 (21.4–59.3) 39.9
19.0–212
0.005
Pb BCR modified 47.1 (24.2–109) 43.08 (27.0–50.0) 37.3 (16.9–128) 0.07
aqua regia procedure 65 (36.0–125) 90 (47.0–147) 64 (50.0–207) 100*
XRF 225.1 (90.7–643) 178 (89.7–216) 145 (65.8–458) 0.01
Zn BCR modified 172 (70.4–426) 128 (70.3–192) 113 (32.4–305) 0.01
aqua regia procedure 258 (92.0–845) 220 (114–275) 153 (58.0–474) 150*
§

comparison between Valcamonica, Bagnolo Mella and Garda Lake

*

Maximum allowable concentration.

For Mn, the inverse logarithm ratio between ICP-OES and F-AAS soil concentration measurements was 0.96 [i.e. ICP-OES underestimates F-AAS measurement by about the 4% (95% CI: 0.75, 1.21)]. The ratio between XRF and F-AAS was 1.32 [i.e. XRF overestimates F-AAS by 32% (95% CI: 0.99, 1.75)], and the ratio between ICP-OES and XRF was 0.73 (i.e. ICP-OES underestimates XRF by 27% (95% CI: 0.52, 1.02)].

According to BCR measurements, median soil concentrations were significantly higher in Valcamonica and Bagnolo Mella compared to the Garda Lake area for Al (P<0.001 for both), Cd (P <0.001; P=0.002), Fe (P<0.001 for both), Mn (P<0.001 for both), and Zn (P=0.01). Valcamonica median soil concentrations were significantly higher than Bagnolo Mella for Mn (P=0.003) and Fe (P<0.001). However, Cu median soil concentrations were significantly higher in Garda Lake compared to Bagnolo Mella (P=0.02).

Median soil concentrations were compared to the Italian regulation maximum allowable concentration (n°152, Annex 4-V5) for residential sites: 100 mg kg−1 for Pb, 2 mg kg−1 for Cd, 120 mg kg−1 for Cu, 150 mg kg−1 for Zn and Cr. The percentages of soil samples exceeding the maximum allowable concentrations for Pb were: 7% in Valcamonica, 0% in Bagnolo Mella, 4% in Garda Lake. For Cd, the soil sample percentages were: 85% in Valcamonica; 100% in Bagnolo Mella, 59% in Garda Lake. For Cu, the soil sample percentages were: 15% in Valcamonica, 0% in Bagnolo Mella, 11% in Garda Lake. For Cr, the soil sample percentages were: 0% in Valcamonica, 0% in Bagnolo Mella, 4% in Garda Lake. For Zn, the soil sample percentages were: 59% in Valcamonica, 33% in Bagnolo Mella, 22% in Garda Lake.

4.2 Metals in soil fractions

Results of Mn sequential extraction and the other metals are summarized in Table 2 and chemical partitioning percentages are shown in Figure 2. The only metal with the same chemical partitioning trend across the three study areas was Cd. Partitioning percentages of Cd for F2 and R for each site were: 30% and 55%, respectively, for Valcamonica, 27% and 52%, respectively, for Bagnolo Mella, and 30% and 44%, respectively, for Garda Lake. Remaining Cd was partitioned in F1 and F3 for Valcamonica samples (11% and 4%, respectively), Bagnolo Mella (17% and 4%, respectively) and Garda Lake (18% and 8%, respectively).

Table 2.

Median metal concentrations (mg kg−1) in different modified Community Bureau of Reference (BCR) extracted fractions of soils from the three study areas.

Element Fraction Study site
p value §
Valcamonica
Median (IQR)
Bagnolo Mella
Median (IQR)
Garda Lake
Median (IQR)
Al F1 32.2 (0.11–65.8) 10.1 (3.59–17.4) 0.11 (0.11–7.49) <0.001
F2 2120 (871–8890) 1280 (33.0–3110) 24.1 (0.90–3430) <0.0001
F3 881 (335–1360) 820 (486–1270) 768 (342–1250) 0.15
R 7780 (3270–13900) 8620 (5980–9980) 5220 (2980–9030) 0.002
Total (BCR + R) 10500 (4490–19200) 10300 (8030–11800) 6950 (3330–11200) <0.001
Cd F1 0.26 (0.09–0.62) 0.44 (0.27–0.55) 0.37 (0.15–0.50) 0.01
F2 0.63 (0.40–1.69) 0.62 (0.41–0.98) 0.56 (0.30–1.08) 0.2
F3 0.09 (0.03–0.39) 0.1 (0.04–0.15) 0.15 (0.03–0.61) 0.1
R 1.43 (0.44–2.33) 1.3 (0.94–1.50) 0.86 (0.03–1.41) <0.001
Total (BCR + R) 2.54 (1.30–4.16) 2.38 (2.05–2.71) 2.04 (1.00–2.60) <0.001
Cr F1 0.52 (0.20–0.93) 1.58 (1.05–1.99) 0.74 (0.46–5.71) <0.001
F2 3.3 (1.20–13.4) 2.24 (1.45–8.04) 1.61 (0.22–253) 0.1
F3 2.82 (0.02–17.3) 2.16 (1.42–12.6) 3.74 (0.67–49.6) 0.05
R 9.04 (3.66–16.9) 9.25 (7.48–14.8) 10.3 (4.81–15.8) 0.6
Total (BCR + R) 15.63 (6.96–34.5) 18.1 (13.3–30.5) 17.8 (7.21–277) 0.3
Cu F1 1.09 (0.08–8.19) 0.079 (0.07–0.08) 0.08 (0.07–7.18) <0.001
F2 18.1 (2.95–323) 7.07 (0.09–25.0) 0.1 (0.10–93.0) 0.0004
F3 12.6 (1.24–87.6) 6.85 (0.70–32.9) 21.9 (0.58–130) 0.02
R 24.6 (3.42–45.6) 19 (5.16–31.7) 26.3 (4.07–49.0) 0.1
Total (BCR + R) 64.6 (24.8–373) 31.2 (23.8–58.7) 66.7 (23.4–163) 0.005
Fe F1 4.37 (0.04–7.85) 0.44 (0.04–1.06) 0.71 (0.04–4.76) <0.001
F2 2710 (1670–7850) 1290 (350–3840) 372 (6.63–5420) <0.001
F3 571 (373–1350) 512 (240–814) 468 (147–1140) 0.07
R 10300 (3600–16400) 9710 (7700–10800) 6660 (3230–11400) <0.001
Total (BCR + R) 14200 (7650–19600) 11800 (8570–13700) 9270.00 <0.001
Mn F1 165 (108–280) 124 (97.2–179) 134 (94.2–198) 0.005
F2 681 (264–1650) 419 (280–996) 205 (116–477) <0.001
F3 19.1 (10.7–98.6) 17 (11.0–84.5) 13.2 (5.73–80.3) 0.04
R 127 (35.2–308) 75.1 (50.7–120) 49.4 (21.7–68.0) <0.001
Total (BCR + R) 983 (473–2110) 623 (466–1360) 393 (288–747) <0.001
Pb F1 2.19 (0.74–4.46) 2.31 (0.78–4.06) 3.49 (2.24–4.84) <0.001
F2 35.9 (19.8–84.7) 22.1 (6.30–36.1) 7.53 (1.12–53.10) <0.001
F3 3.53 (0.56–25.1) 3.09 (0.56–30.9) 11.7 (0.57–88.9) 0.01
R 4.33 (0.60–16.5) 3.67 (2.23–12.7) 5.3 (0.62–31.2) 0.4
Total (BCR + R) 47.1 (24.2–109) 43.1 (27.0–50.0) 37.3 (16.9–128) 0.07
Zn F1 34.5 (10.1–117) 28.7 (5.76–37.7) 11.5 (1.29–40.6) <0.001
F2 58.2 (22.6–247) 47.8 (33.1–70.1) 35.4 (4.63–108) 0.03
F3 7.52 (2.16–24.7) 6.86 (4.50–23.8) 8.62 (1.49–156) 0.5
R 50.8 (16.3–149) 45.3 (26.7–70.6) 37.4 (13.8–102) 0.1
Total (BCR + R) 172 (70.4–426) 128 (70.3–192) 113 (32.4–305) 0.01
§

comparison between Valcamonica, Bagnolo Mella and Garda Lake using Kruskall-Wallis test

Figure 2.

Figure 2

Total percentages of each metal concentration for each of the modified Community Bureau of Reference (BCR) sequential extraction fractions: Fraction 1 (F1); Fraction 2 (F2); Fraction 3 (F3) and Residual (R) for soils collected in the three study areas.

The highest Cr chemical partitioning percentages of soil samples occurred in F3 and R (30% and 49%, respectively) for Garda Lake, whereas for Valcamonica, the highest percentage occurred in F2 and R (22% and 56%, respectively) and for Bagnolo Mella (20% and 54%, respectively). The F1 was 3% for Valcamonica, 8% for Bagnolo Mella and 4% for Garda Lake samples.

The chemical Cu partitioning percentage for F1 was 2% for soil samples collected in Valcamonica, and 0% for both Bagnolo Mella and Garda Lake samples. Higher Cu partitioning percentages were demonstrated in F2 for Valcamonica and Bagnolo Mella samples (38% and 31%, respectively) compared to Garda Lake area (18%). The highest Cu percentage in F3 in Garda Lake samples was 41% compared to Valcamonica and Bagnolo Mella (23% for both).

The percentage of Pb was highest in F2 of both Valcamonica and Bagnolo Mella samples (78% and 56% respectively). Similarly, the highest Zn concentrations occurred in F2 in Valcamonica and Bagnolo Mella samples (41% and 39%, respectively). The highest percentages of Al and Fe occurred in the R fraction in Valcamonica and Bagnolo Mella as well. The bivariate association between Al and Fe showed the highest positive correlation (ρ=0.78, P=0.03) among the metals considered in this study.

Although Mn was found to be highly extractable by weak acids, it was the most extracted analyte in F2 versus F1 in soil samples collected in Valcamonica and Bagnolo Mella. The order of Mn extracted soil fractions across the three study areas was the following: F2 (66%) > F1 (18%) > R (14%) > F3 (2%) in Valcamonica; F2 (67%) > F1 (19%) > R (11%) > F3 (3%) in Bagnolo Mella and F2 (52%) > F1 (32%) > R (12%) > F3 (4%) in Garda Lake soils. Low contents of Mn in the R fraction were obtained in Garda Lake. The Mn partitioning percentage contained in F2 was similar in samples near historic or currently active ferroalloy plant operations (~68%) that include Valcamonica and Bagnolo Mella home gardens. The Mn percentage was also higher in these areas than in Garda Lake home gardens (~52%).

4.3 Metal concentrations in vegetables

Trace metal concentrations in unwashed and washed spinach, as well as turnip samples grown in the home gardens of Valcamonica, Bagnolo Mella and Garda Lake are reported in Table 3. The highest metal concentrations were found to occur in leafy vegetables for all three study areas whilst the lowest concentrations of trace metals were found in root vegetables.

Table 3.

Median metal concentrations (mg Kg−1 fresh weight) in unwashed and washed spinach “S” (Spinacea Oleracea) and turnip “B” (Brassica Rapa) from home gardens from three study sites. The number of vegetable samples per study site and vegetable type is given in parentheses.

Element Plant Study site
P value §
Valcamonica
Median (IQR) (S=21; B=9)
Bagnolo Mella
Median (IQR) (S=6; B=9)
Garda Lake
Median (IQR) (S=20; B=22)
Cd Unwashed spinach 0.05 (0.02–0.14) 0.06 (0.02–0.13) 0.06 (0.01–0.36) 0.63
Washed spinach 0.04 (0.01–0.10) 0.02 (0.01–0.06) 0.05 (0.01–0.31) 0.07
Turnip 0.01 (0.01–0.02) 0.02 (0.01–0.04) 0.01 (0.01–0.04) 0.002
Cu Unwashed spinach 0.9 (0.67–3.10) 2.11 (0.82–3.06) 1.62 (0.52–40.50) 0.05
Washed spinach 0.72 (0.37–1.00) 0.56 (0.42–1.04) 0.85 (0.40–14.50) 0.15
Turnip 0.4 (0.28–1.08) 0.37 (0.28–0.59) 0.76 (0.36–5.21) <0.0001
Fe Unwashed spinach 93.2 (20.0–510) 537 (312–820) 166 (18.8–639) 0.003
Washed spinach 37.5 (9.20–96.8) 28.9 (8.92–43.6) 30.5 (7.28–126) 0.47
Turnip 5.48 (2.95–13.7) 4.14 (3.70–6.90) 4.31 (1.62–18.7) 0.32
Mn Unwashed spinach 5.43 (0.58–16.4) 7.77 (1.31–32.0) 4.87 (1.60–18.0) 0.86
Washed spinach 1.82 (0.15–4.73) 0.59 (0.06–2.34) 2.12 (0.95–8.50) 0.05
Turnip 0.92 (0.52–1.52) 1.08 (0.86–1.74) 1.01 (0.71–1.50) 0.05
Pb Unwashed spinach 0.69 (0.07–2.20) 0.95 (0.21–3.69) 0.89 (0.08–3.30) 0.21
Washed spinach 0.15 (0.04–0.43) 0.07 (0.04–0.19) 0.21 (0.07–1.00) 0.03
Turnip 0.01 (0.00–0.06) 0.02 (0.01–0.03) 0.02 (0.01–0.13) 0.06
Zn Unwashed spinach 9.03 (5.60–28.0) 9.54 (3.95–13.8) 10.15 (7.44–20.0) 0.18
Washed spinach 6.1 (2.80–18.0) 4.37 (2.97–5.33) 6.99 (4.10–13.1) 0.006
Turnip 2.18 (1.22–4.68) 2.81 (2.21–4.91) 2.59 (1.04–7.50) 0.03
§

Comparison between Valcamonica, Bagnolo Mella and Garda Lake using Kruskall-Wallis Test

In the home gardens, the concentrations of Fe (P=0.003) and Cu (P=0.05) measured in unwashed spinach were significantly higher in Bagnolo Mella compared to Valcamonica and Garda Lake. In washed spinach, Pb concentrations (P=0.02) and Zn concentrations (P=0.004) in the washed spinach were significantly higher in Garda Lake compared to Bagnolo Mella. Turnip Cu concentrations were significantly higher in Garda Lake compared to Valcamonica and Bagnolo Mella (P<0.001 and P<0.001, respectively) areas. Washed spinach had the least median metal concentration across all study sites.

A comparison of Cu, Fe, Mn, and Zn concentrations in vegetables with findings from previous studies are listed in Table 4. The overall mean metal concentrations in the vegetables were lower or similar to reference values. Turnip Cu concentration level collected from Garda Lake were approximately double the concentrations deemed safe for human consumption by the Food Composition and Nutrition Tables (Souci et al., 2008), but below the unsafe concentration according to the US National Nutrient Database for Standard Reference (USDA, 2011).

Table 4.

Mean metal concentrations in spinach and turnips (mg kg−1) reported in literature.

Water and trace elements Reference
Italian Food Composition database (BDA, 2008) Food Composition and Nutrition Tables (Souci et al., 2008) USDA National Nutrient Database for Standard Reference (USDA, 2011)
Spinach
Water 90.1 g 91.2 g 91.4 g
Cu 1.6 mg kg−1 0.9 mg kg−1 1.3 mg kg−1
Fe 29.000 mg kg−1 34.000 mg kg−1 27.000 mg kg−1
Mn / 5.99 mg kg−1 8.97 mg kg−1
Zn 14.3 mg kg−1 6.7 mg kg−1 5.3 mg kg−1
Turnip
Water 93.3 g 89.9 g 91.87 g
Cu / 0.56 mg kg−1 0.85 mg kg−1
Fe 6 mg kg−1 3.83 mg kg−1 3 mg kg−1
Mn / 0.68 mg kg−1 1.34 mg kg−1
Zn 0.80 mg kg−1 2.30 mg kg−1 2.7 mg kg−1

A high percentage of spinach produced in the kitchen gardens on the Garda Lake, Valcamonica and Bagnolo Mella (65%, 62% and 17%, respectively) exceeded the Pb safety limit guidelines set by the Commission of the European Communities and the Codex Alimentarius Commission. Ten percent of spinach collected in the Garda Lake area exceeded both limits for Cd concentration. The turnip samples did not exceed these standards.

4.4 Spinach and Turnip consumption and dietary intake assessment for Cd and Pb

Estimates of daily Pb and Cd intake due to vegetable consumption are reported in Table 5. The estimated daily intake of Pb and Cd due to spinach consumption was higher in Valcamonica and Garda Lake. Based on spinach consumption alone, daily intake of Pb and Cd reached almost 60% of the mean lifetime dietary level for Pb and the TDI level for Cd., The mean and 95th percentile daily intake for children on the Garda Lake area were 52% and 116%, respectively, of the EFSA’s benchmark dose level for Pb-induced developmental neurotoxicity. In other words, spinach consumption would provide 52% of the maximum Pb daily intake reference value. Estimated daily intake of Pb and Cd due to turnip consumption was similar across study sites.

Table 5.

Estimate of vegetable consumption contribution from the three study areas: Garda Lake (GL), Valcamonica (VC), Bagnolo Mella (BM) to the maximum tolerable daily lead intake (Pb) and mean lifetime dietary cadmium (Cd) intake in children and persons > 10 years old.

Spinach Turnip

Pb* Cd§ Pb* Cd§
VC BM GL VC BM GL VC BM GL VC BM GL
Children (3–10 years old)
mean daily intake (%) 0.16 (15) 0.08 (8) 0.26 (25) 0.04 (11) 0.03 (8) 0.07 (19) 0.01 (1) 0.01 (1) 0.02 (2) 0.01 (2) 0.01 (4) 0.01 (3)
95th percentile (%) 0.33 (32) 0.15 (15) 0.59 (57) 0.09 (26) 0.05 (15) 0.21 (58) 0.03 (3) 0.02 (2) 0.03 (3) 0.01 (3) 0.03 (7) 0.03 (8)
Persons > 10 years old
mean daily intake (%) 0.13 (18) 0.07 (10) 0.20 (30) 0.03 (9) 0.02 (6) 0.05 (15) 0.00 (0) 0.00 (1) 0.00 (1) 0.00 (1) 0.01 (2) 0.00 (1)
95th percentile (%) 0.40 (39) 0.19 (18) 0.70 (68) 0.08 (21) 0.04 (12) 0.16 (46) 0.00 (1) 0.00 (1) 0.00 (1) 0.00 (1) 0.01 (3) 0.01 (3)
*

μg kg−1 body weight day−1 in percentage of Mean Pb Lifetime Dietary Intake of 1.03 μg kg−1 bw day−1 for 3–10 yrs old children and of 0.68 μg kg−1 bw day−1 for persons >10 years old.

§

μg kg−1 body weight day−1 in percentage of Cd Tolerable Daily Intake of 0.36 μg kg−1 bw.

4.5 Correlation between soil extractable metal concentration and plant metal concentrations

Turnip metal concentrations were correlated with soil concentrations for F3 Cu (ρ=0.35; P= 0.01) and total Cu (ρ= 0.47; P<0.001). Turnip metal concentrations were also correlated with soil F1 Pb (ρ = 0.31; P=0.03); with soil F3 Pb (ρ=0.29; P=0.04), with R Pb (ρ=0.28; P=0.04) and with soil F1 Cd (ρ=0.31; P= 0.02). No other correlation resulted between the turnip metal concentrations and the soil fractions extracted. No significant correlation was noted between metal concentrations in washed spinach leaves and extractable metal concentrations in different fractions of soils.

5. DISCUSSION

Total metal concentrations in surface soil showed higher levels on Mn, Cd, Fe, Zn in the areas of current (Bagnolo Mella) and historical (Valcamonica) metal emission from ferroalloy industry compared to the reference area (Garda Lake). As an area with the longest ferroalloy activity history, Valcamonica soil contained the highest total metal concentrations. Intermediate total metal concentrations were found in Bagnolo Mella and reflect current, shorter relative history (~40 yrs) of ferroalloy plant activities.

Each of the analytical methods used served different purposes in the investigation of local ferroalloy plant activity impact on metal contamination in home garden soils and cultivated vegetables. Portable XRF for was used for field-based screening of surface soil metal levels. The aqua regia digestion of soil was useful in determining total extractable metals and modified BCR sequential extraction method to estimate metal fractionation in the soil in addition to the chemical mobility and the potential bioavailability of metals to cultivated plants.

Cadmium, Mn and Zn were extracted using modified BCR primarily in F1 in all study sites, which is the most chemically labile fraction of the soil samples. F1 extractions of Cd and Mn (ρ=0.66), Cd and Zn (ρ=0.65), Mn and Zn (ρ=0.54) were strongly correlated and highly significant (P<0.001), suggesting similar chemical mobility of these elements across the three sites. In particular, Cd partitioning percentage trend for each fraction were similar across all three areas of Brescia and this was in agreement with previous studies since Cd is an easily removed and chemically labile metal (Sahuquillo et al, 2003). High percentages of Mn and Zn in F1 were probably due to the close association of these metals with carbonates (Marin, Giresse, 2001).

Extracted F2 concentrations, which include reducible metals bound to Fe and Mn oxides, were significantly higher in Al, Fe, Mn and Zn for Valcamonica and Bagnolo Mella soil samples compared to Garda Lake reference samples. High concentrations of these metals in F2 extracted soils reflected the synthetic oxide reactions typical of ferroalloy production (i.e. MnO2 or Mn3O4). The relationship of these metals to the historic presence of ferroalloy plant emissions was further demonstrated by comparing both extracted soil and home garden samples and proximity to current or historic ferroalloy plant emissions. Total Mn concentrations were higher in in the most ferroalloy-impacted soils compared to Mn in Garda Lake home gardens with no history of metallurgic activities. Surface metal soil concentrations declined with greater distance from the closest ferroalloy plant, which supports the notion that plant emissions are a substantial source of higher soil metal concentrations (Ferri et al, 2012). Our data on Mn fractionation were in agreement with previous results examining metal loadings and mobility amongst the same three sites in Brescia, Italy (Borgese, 2013). Large differences were found in F2 between the reference area and the areas of ferroalloy industrial activity. Another study also found that the Mn partitioned percentage of R from an area of anthropogenic heavy metal emissions in Turkey was lower than Mn percentage of R from agricultural area soils (Tokalioglu et al, 2010). This supports an anthropogenic origin of Mn because the R extraction, which consists of immobile and less phytoavailable metals bound to organic matter, was proportionally higher in areas with no history of ferroalloy industrial activity.

The highest Al and Fe partitioning percentages in this study also occurred in the R fraction, indicating that these metals are strongly bound to minerals and biologically unavailable to plants (Borgese, 2013). However, across the three study sites, F2 and total Al and Fe concentration differences between the Garda Lake reference area and Valcamonica and Bagnolo Mella were highly significant.

Conversely, Cr, Cu, and Pb concentrations of F3 soil extractions were higher in Garda Lake compared to Valcamonica and Bagnolo Mella, reflecting the strong complexation of these metals with soil rich in organic matter and/or sulfides. This has been observed in a similar metal speciation study for Cu and Pb in sediments of Algeciras Bay, Spain (Diaz et al., 2011). An increase in Pb and Cu in F2 was expected since these two metals are adsorbed by clay minerals, organic matter, Fe, and are co-precipitated with Fe and Mn oxides (Favas, 2011). After F3 metal-organic complexations, the availability of these metals to plants is reduced (Gupta and Sinha, 2006). According to Udom et al. (2004), metal-organic complexation also decreases metal mobility in soils. Therefore, even though the Cu soil concentrations in Garda Lake contained greater levels of these metals in total, the higher Cu concentrations in F3 fraction means that Cu was less mobile and less bioavailable to plants compared to Cu contaminating Valcamonica and Bagnolo Mella soils.

The poor correlation of soil extractable metal concentration and plant metal concentrations found in this study was consistent with similar prior studies (Oyeyiola et al., 2011; Olayinka et al., 2011; Anawar et al., 2008; Menzies et al., 2007) and may be due to a number of factors. Phytoavailability of soil metals is influenced by soil composition and chemistry (pH, oxygen content, etc.), organic matter content and composition, metal content and speciation, microbial activity and the biochemical/molecular processes of plants that regulate metal uptake and utilization (Agbenin J, 2009). A study in Turkey has also found correlations between soil and plant bioavailability to vary by plant type (Tokalıoglu S., 2006). Furthermore, bioavailability of these metals to humans is further complicated by additional factors such as differences in origin, sorption behavior, clay content and pH dependence (Ljung et al., 2007).

Direct soil contamination due to re-suspension of soil particulates and direct airborne particulate matter deposition onto plant surfaces likely distorted the relationship between soil metal content and plant accumulation. For spinach leaves, which are more exposed to airborne deposition than turnips, no significant correlation was found for any extraction fraction of the studied metals. Several other bio-monitoring studies had demonstrated that plants accumulated trace elements from the atmosphere (Bargagli 1998; Rossini Oliva and Valdes, 2004; De Temmerman and Hoenig, 2004). A principal component analysis examining the relationship between vegetable metal content, agricultural soil and airborne particulate matter in northern Greece found that the dominant pathway for Pb, Cr and Cd trace elements in vegetable leaves originated primarily from the atmosphere (Voutsa et al., 1996) while in Spain found a direct relationship between soil Cu and Cu concentrations in particulate matter (Rossini Oliva and Fernandez Espinosa., 2007). Other studies on vegetables harvested at planting sites in inner-city Berlin, Germany and Nanjing, China have demonstrated significantly higher Pb concentrations in edible crops than areas of less urban traffic (Säumel et al., 2012; Fang et al., 2011). The pollutants emitted from the more traffic-heavy Garda Lake area than Valcamonica and Bagnolo Mella, also contributed to the disproportionately greater Pb median spinach concentrations in this reference area. For edible turnip portions growing beneath the soil with less susceptibility to airborne matter contamination, lower concentrations of all metals were found compared to both washed and unwashed spinach. Furthermore, across study sites, the variation of Pb turnip concentrations among Garda Lake, Valcamonica and Bagnolo Mella was not statistically different.

Despite low correlations between soil and plant metal concentrations, the daily flux of outdoor particle deposition was very low compared to loadings of metal-enriched particulates in the soil. It is unlikely that the soil metal concentrations varied after planting. It is more likely that the lack of correlation between soil metal extractions and plant metal accumulations was due to the specific plant species as well as contributing factors from the environment. There had been no noted disturbance of soils or reason to expect that metal soil concentrations would change during the plant growth process. Farmers were instructed not to use fertilizers or fungicides since doing so may contaminate soils with trace metals (Murray et al, 2011). Additionally, samples of soil and vegetables were retrieved around the same time of harvesting in order to optimally relate vegetable surface metal content with soil. Furthermore, the consistent finding of greater metal concentrations on unwashed versus washed spinach and even lower metal concentrations on root vegetables across all three study sites were consistent with our expectations regarding plants grown on undisturbed soil.

Although the extraction procedures were able to classify soil metal fractions, they may not be a true reflection of plant metal accumulation. Rather, sequential metal extraction can be used to disentangle effects of the chemical mobility and bioavailability of metals in soils and their uptake by plants (Kennedy et al, 1997; Dilek et al., 2011).

Spinach consumption constituted a substantially higher proportion of Cd and Pb metals compared to turnip consumption (Table 5). For spinach consumption, estimated contribution to Pb TDI was high for children and persons greater than 10 years old. Similarly, the contribution of Cd to percentage of TDI for both children and persons greater than 10 years old was substantial, even though the contamination concentrations were lower than the the EU Regulation limit 1881/2006. This is consistent with the EFSA report of a mean Cd oral intake in Europe is close to the tolerable weekly intake (TWI) of 2.5 μg kg-1 bw (EFSA 2007). Some subgroups such as vegetarians and smokers, can exceed the TWI estimations by about 2-fold (EFSA 2007). Since vegetables are a staple food, a mean contribution close to 15–20% of the TDI is highly relevant (Chen et al., 2011). In addition to vegetable ingestion, children may obtain metal exposure in areas of past ferroalloy industrial activity from soil ingestion (Wang et al., 2010). Children are particularly vulnerable to consequences of high Pb exposure since increased Pb absorption during development leads to adverse health outcomes.

The concentrations of Pb and Cd in plants grown for commercial distribution are regulated by legislative standards that we used to compare concentrations measured in home-garden vegetables (Douay, 2007). Over 60% of spinach samples, including washed spinach, exceeded the 2- to 4-fold Commission of European Communities and Codex Alimentarius Commission maximum international Pb concentrations standards. Ten percent of the same spinach samples exceeded 2- to 3-fold maximum Cd concentrations set by both organizations. Turnip metal concentrations were below maximum standard reference values.

The Pb content of spinach was reduced by more than four-fold by washing with tap water. In standard preparation of vegetables for consumption, thoroughly washing vegetables with tap water was effective in reducing plant metal concentrations. Iron was the most efficiently removed from the spinach leaves by washing. As a common component of dust, Fe adheres to the leaf surface until washing away part of the deposition fraction. Thus, both mobility and water solubility of contaminants are factors strictly related to the washing effect (Zwolinski et al., 1998). The results obtained in this study suggest that washing efficacy depends on the metal contaminant in addition to metal plant concentrations.

6. CONCLUSION

High concentrations of soil metal-oxides, inferred by the relatively high percentage of metals in the F2 fraction, reflect typical ferroalloy emissions. The low correlation between the soil metal concentrations and vegetable metal concentrations suggests that metal concentrations in different fractions of soils extracted using the modified BCR procedure were poor predictors of phytoavailability.

Spinach grown in areas near historic or current ferroalloy industrial activity are contaminated with higher metal concentrations than recommended by European standards, and thus poses a threat to human health. The trend of higher metal concentrations in unwashed versus washed samples demonstrates that washing vegetables with tap water was able to remove metallic elements deposited on spinach leaf surface. However, washing with fresh tap water may not be sufficient in reducing the Pb TDI for children, since even washed spinach in some home gardens did not conform to Pb concentrations by both of the international food standard guidelines.

Supplementary Material

supplement

Highlights.

  • Total soil metal concentration and extractability were measured by X-ray fluorescence (XRF), aqua regia extraction, and modified Community Bureau of Reference (BCR) sequential extraction.

  • Unwashed and washed spinach and turnips cultivated in the same gardens were analyzed for metal concentrations by flame atomic absorption spectrometry.

  • Median soil Al, Cd, Fe, Mn, Pb, and Zn concentrations were significantly higher in home gardens near ferroalloy plants compared to reference home gardens.

  • Over 60% of spinach samples exceeded the 2- to 4-fold Commission of European Communities and Codex Alimentarius Commission maximum Pb concentrations, and 10% of the same spinach samples exceeded 2- to 3-fold maximum Cd concentrations set by both organizations.

Acknowledgments

This study was supported by funding from the European Union via the Sixth Framework Program for RTD (contract no FOOD-CT-2006- 016253). It reflects only the authors’ views, and the European Commission is not liable for any use that may be made of the information contained therein. The project was supported also by award number R01ES019222 from the National Institute of Environmental Health Sciences (NIEHS). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIEHS or the National Institutes of Health.

Footnotes

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References

  1. Agbenin JO, Danko M, Welp G. Soil and vegetable compositional relationships of eight potentially toxic metals in urban garden fields from northern Nigeria. Journal of the Science of Food and Agriculture. 2009;89(1):49–54. [Google Scholar]
  2. Agnieszka M, Witold W. Three-step extraction procedure for determination of heavy metals availability to vegetables. Anal Bioanal. 2004;380:813–817. doi: 10.1007/s00216-004-2832-6. [DOI] [PubMed] [Google Scholar]
  3. Anawar HM, Garcia-Sanchez A, Regina SI. Evaluation of various chemical extraction methods to stimate plant-available arsenic in mine soils. Chemosphere. 2008;70:1459–1467. doi: 10.1016/j.chemosphere.2007.08.058. [DOI] [PubMed] [Google Scholar]
  4. Bargagli R. Piante vascolari come bioaccumulatori di Metalli in traccia: Stato dell’Arte in Italia. Biologia Ambientale In Atti del Workshop Biomonitoraggio Della Qualità dell’aria Sul Territorio Nazionale; Roma. Novembre 26–27, 1998; Roma: Sped; 1998. pp. 55–75. [Google Scholar]
  5. BDA (Banca Dati di Composizione degli Alimenti per Studi Epidemiologici in Italia) Food Composition Database for Epidemiological Studies in Italy. European Institute of Oncology; 2008. http://www.ieo.it/bda2008/homepage.aspx. [Google Scholar]
  6. Borgese L, Federici S, Zacco A, Gianoncelli A, Rizzo L, Smith DR, Donna F, Lucchini R, Depero LE, Bontempi E. Metal speciation fractionation in soils and assessment of environmental contamination in Valle Camonica, Italy. Environmental Science and Pollution Research. 2013;20:5067–5075. doi: 10.1007/s11356-013-1473-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Calabrese EJ, Stanek EJ, Pekow P, Barnes RM. Soil ingestion estimates for children residing on a superfund site. Ecotox Environ Safe. 1997;36:258–268. doi: 10.1006/eesa.1996.1511. [DOI] [PubMed] [Google Scholar]
  8. Cambra K, Martínez T, Urzelai A, Alonso E. Risk analysis of a farm area near a lead and cadmium contaminated industrial site. J Soil Contam. 1999;8:527–540. [Google Scholar]
  9. Carrizales L, Razo I, Tellez-Hernandez JI, Torres-Nerio R, Torres A, Batres LE, Cubillas AC, Dıaz-Barriga F. Exposure to arsenic and lead of children living near a Cu-smelter in San Luis Potosi, Mexico: importance of soil contamination for exposure of children. Environmental Research. 2006;101:1–10. doi: 10.1016/j.envres.2005.07.010. [DOI] [PubMed] [Google Scholar]
  10. Chen C, Yongzhong Q, Qiong C, Chuanyong L. Assessment of Daily Intake of Toxic Elements Due to Consumption of Vegetables, Fruits, Meat, and Seafood by Inhabitants of Xiamen, China. Journal of Food Science. 2011;76(8):T181–8. doi: 10.1111/j.1750-3841.2011.02341.x. [DOI] [PubMed] [Google Scholar]
  11. Codex Alimentarius Commission. Lead: Maximum Levels, Vol. 1, Codex Stan. 2001a. p. 230. [Google Scholar]
  12. Codex Alimentarius Commission. Report of the 36th Session of the Codex Alimentarius Committee on food Additives and Contaminants; Rotterdam, The Netherlands. March 2004; 2004b. pp. 22–26. [Google Scholar]
  13. Commission of the European Communities. Commission Regulation (EC) No 1881/2006 of 19 December 2006 setting maximum levels for certain contaminants in foodstuffs. Official Journal of the European Union, L 364. 2006:5–24. [Google Scholar]
  14. De Temmerman L, Hoenig M. Vegetable Crops for Biomonitoring Lead and Cadmium Deposition. Journal of Atmospheric Chemistry. 2004;49:121–135. [Google Scholar]
  15. Diaz-de Alba M, Galindo-Riàno MD, Casanueva-Marenco MJ, Garcia-Vargas M, Kosore CM. Assessment of the metal pollution, potential toxicity and speciation of sediment from Algeciras Bay (South of Spain) using chemometric tools. Journal of Hazardous Materials. 2011;190:177–187. doi: 10.1016/j.jhazmat.2011.03.020. [DOI] [PubMed] [Google Scholar]
  16. Dilek B, Yasemin Bakircioglu K, Hilmi I. Investigation of trace elements in agricultural soils by BCR sequential extraction method and its transfer to wheat plants. Environ Monit Assess. 2011;175:303–314. doi: 10.1007/s10661-010-1513-5. [DOI] [PubMed] [Google Scholar]
  17. Douay F, Roussel H, Fourrier H, Heyman C, Chateau G. Investigation of heavy metal cncentrations on urban soils, dust and vegetables nearby a former smelter site in Mortagne du Nord, northern France. J Soils Sediments. 2007;7(3):143–146. [Google Scholar]
  18. EFSA. Opinion of the scientific panel on contaminants in the food chain on a request from the commission related to ochratoxinA in food. The EFSA Journal. 2006;365:1–56. [Google Scholar]
  19. EFSA. Question n° EFSA-Q-2007-138. 2007. Cadmium in food. Scientific Opinion of the Panel on Contaminants in the Food Chain. Adopted on 30 January 2009. [Google Scholar]
  20. EFSA. Scientific Opinion on Lead in Food. EFSA Panel on Contaminants in the Food Chain, European Food Safety Authority (EFSA), Parma, Italy. EFSA Journal. 2010;8(4):1570–1574. [Google Scholar]
  21. EFSA. Panel on Contaminants in the Food Chain (CONTAM) Scientific Opinion on tolerable weekly intake for cadmium. EFSA Journal. 2011;9(2):1975–1994. [Google Scholar]
  22. EFSA. Lead dietary exposure in the European population. EFSA Journal. 2012;10(7):2831–2833. [Google Scholar]
  23. Fang S-B, Hao H, Sun W-C, Pan J-J. Spatial Variations of Heavy Metals in the Soils of Vegetable-Growing Land along Urban-Rural Gradient of Nanjing, China. International Journal of Environmental Research in Public Health. 2011;8:1805–1816. doi: 10.3390/ijerph8061805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. FAO/WHO. Report of a WHO/FAO consultation. Geneva, Switzerland: 1997. Food consumption and exposure assessment of chemicals. [Google Scholar]
  25. Favas PJC, Pratas J, Gomes MEP, Cala V. Selective chemical extraction of heavy metals in tailings and soils contaminated by mining activity: Environmental implications. Journal of Geochemical Exploration. 2011;111:160–171. doi: 10.1016/j.gexplo.2011.04.009. [DOI] [Google Scholar]
  26. Ferri R, Donna F, Smith DR, Guazzetti S, Zacco A, Rizzo L, Bontempi E, Zimmerman NJ, Lucchini RG. Heavy metals in soil and salad in the proximity of historical ferroalloy emission. Journal of Environmental Protection. 2012;3:374–385. doi: 10.4236/jep.2012.35047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Gupta AK, Sinha S. Chemical fractionation and heavy metal accumulation in the plant of Sesamum indicum (L.) var. T55 grown on soil amended with tannery sludge: Selection of single extractants. Chemosphere. 2006;64:161–173. doi: 10.1016/j.chemosphere.2005.10.016. [DOI] [PubMed] [Google Scholar]
  28. Harris AR, Davidson CI. The role of resuspended soil in lead flows in the California South Coast Air Basin. Environmental science & technology. 2005;39(19):7410–7415. doi: 10.1021/es050642s. [DOI] [PubMed] [Google Scholar]
  29. Hinwood AL, Sim MR, Jolley D, de Klerk N, Bastone EB, Gerostamoulos J, Drummer OH. Exposure to inorganic arsenic in soil increases urinary inorganic arsenic concentrations of residents living in old mining areas. Environmental Geochemistry and Health. 2004;26:27–36. doi: 10.1023/b:egah.0000020897.15564.93. [DOI] [PubMed] [Google Scholar]
  30. Hollander M, Wolfe DA. Nonparametrics Statistical Methods. 2. Wiley-Blackwell; 1999. p. 816. [Google Scholar]
  31. Hough RL, Breward N, Young SD, Crout NMJ, Tye AM, Moir AM, Thornton I. Assessing potential risk of heavy metal exposure from consumption of home-produced vegetables by urban populations. Environ Health Perspect. 2004;112(2):215–221. doi: 10.1289/ehp.5589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Kennedy VH, Sanchez AL, Oughton DH, Rowland AP. Use of single and sequential chemical extractants to assess radionuclide and heavy metal availability from soils for roots uptake. Analyst. 1997;122:89–100. [Google Scholar]
  33. Leclercq C, Arcella D, Piccinelli R, Sette S, Le Donne C, Turrini A. The Italian National food consumption survey INRAN-SCAI 2005–06: main results in terms of food consumption. Public Health Nutrition. 2009;12(12):2504–2532. doi: 10.1017/S1368980009005035. [DOI] [PubMed] [Google Scholar]
  34. Ljung K, Oomen A, Duits M, Selinus O, Berglund M. Bioaccessibility of metals in urban playground soils. Journal of Environmental Science and Health Part A. 2007;42:1241–1250. doi: 10.1080/10934520701435684. [DOI] [PubMed] [Google Scholar]
  35. Lucchini RG, Albini E, Benedetti L, Borghesi S, Coccaglio R, Malara EC, Parrinello G, Garattini S, Resola S, Alessio L. High prevalence of Parkinsonian disorders associated to manganese exposure in the vicinities of ferroalloy industries. Am J Ind Med. 2007;50(11):788–800. doi: 10.1002/ajim.20494. [DOI] [PubMed] [Google Scholar]
  36. Lucchini RG, Guazzetti S, Zoni S, Donna F, Peter S, Zacco A, Salmistraro M, Bontempi E, Zimmerman NJ, Smith DR. Tremor, olfactory and motor changes in Italian adolescents exposed to historical ferro-manganese emission. Neurotoxicology 2012. 2012;33(4):687–96. doi: 10.1016/j.neuro.2012.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Lucchini RG, et al. Neurofunctional Dopaminergic impairment in elderly after lifetime exposure to manganese. Neurotoxicology. 2014 doi: 10.1016/j.neuro.2014.05.006. http://dx.doi.org/10.1016/j.neuro.2014.05.006. [DOI] [PMC free article] [PubMed]
  38. Marin B, Giresse P. Particulate manganese and iron in recent sediments of the Gulf of Lions continental margin (north-western Mediterranean Sea): deposition and diagenetic process. Marine geology. 2001;172:147–165. [Google Scholar]
  39. Menzies NW, Donn MJ, Kopittke PM. Evaluation of extractants for the estimation of the phytoavailable trace metals in soils. Environ Pollut. 2007;145:121–130. doi: 10.1016/j.envpol.2006.03.021. [DOI] [PubMed] [Google Scholar]
  40. Ministerial Decree. Official methods for soil chemical analysis. Rome, Italy: Sep 13, 1999. D.M. n. 185. [Google Scholar]
  41. Mossop KF, Davidson CM. Comparison of original and modified BCR sequential extraction procedures for the fractionation of copper, iron, lead, manganese and zinc in soils and sediments. Analytica Chimica Acta. 2003;478:111–118. [Google Scholar]
  42. Murray H, Pinchin TA, Macfie SM. Compost application affects metal uptake in plants grown in urban garden soils and potential human health risk. J Soils Sediments. 2011;11:815–829. [Google Scholar]
  43. Olayinka KO, Oyeyiola AO, Odujebe FO, Oboh B. Uptake of potentially toxic metals by vegetable plants grown on contaminated soil and their potential bioavailability using sequential extraction. Journal of Soil Science and Environmental Management. 2011;2(8):220–227. [Google Scholar]
  44. Oyeyiola AO, Olayinka KO, Alo BI. Comparison of three sequential extraction protocols for the fractionation of potentially toxic metals in coastal sediments. Environmental Monitoring and Assessment. 2011;172:319–327. doi: 10.1007/s10661-010-1336-4. [DOI] [PubMed] [Google Scholar]
  45. Pruvot C, Douay F, Herve F, Waterlot C. Heavy metals in soil, crops and grass as a source of human exposure in the former mining areas. Journal of Soils and Sediments. 2006;6:215–220. [Google Scholar]
  46. Pueyo M, Mateu J, Rigol A, Vidal M, Lòpez-Sànchez JF, Rauret G. Use of the modified BCR three-step sequential extraction procedure for the study of trace element dynamics in contaminated soils. Environmental Pollution. 2008;152:330–341. doi: 10.1016/j.envpol.2007.06.020. [DOI] [PubMed] [Google Scholar]
  47. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; Vienna, Austria: 2012. http://www.Rproject.org/ [Google Scholar]
  48. Rauret G, Lopez-Sanchez JF, Sahuquillo A, Barahona E, Lachica M, Ure AM, Davidson CM, Gomez A, Luck D, Bacon J, Yli-Halla M, Muntaub H, Quevauvilleri Ph. Application of a modified BCR sequential extraction (three-step) procedure for the determination of extractable trace metal contents in a sewage sludge amended soil reference material (CRM 483) complemented by a three-year stability study of acetic acid and EDTA extractable metal content. J Environ Monit. 2000;2:228–233. doi: 10.1039/b001496f. [DOI] [PubMed] [Google Scholar]
  49. Rauret G, López-Sánchez JF, Sahuquillo A, Rubio R, Davidson C, Ure A, Quevauviller Ph. Improvement of the BCR three step sequential extraction procedure prior to the certification of new sediment and soil reference materials. J Environ Monit. 1999;1:57–61. doi: 10.1039/a807854h. [DOI] [PubMed] [Google Scholar]
  50. Rossini Oliva S, Fernandez Espinosa AJ. Monitoring of heavy metals in topsoils, atmospheric particles and plant leaves to identify possible contamination sources. Microchemical Journal. 2007;86:131–139. [Google Scholar]
  51. Rossini Oliva S, Valdès B. Influence of Washing on Metal Concentrations in Leaf Tissue. Communications in soil science and plant analysis. 2004;35:1543–1552. [Google Scholar]
  52. Sacchi E, Brenna S, Fornelli Genot S, Sale VM, Azzolina L, Leoni MA. Realizzazione di analisi del contenuto di metalli pesanti nei suoli agricoli lombardi. 2007. Sperimentazione condotta nell’ambito del progetto di ricerca RAMET. (dgr n. 20733 del 16/02/2005) [Google Scholar]
  53. Sahuquillo A, Rigol A, Rauret G. Overview of the use of leaching/extraction tests for risk assessment of trace metals in contaminated soils and sediments. Trends in Analytical Chemistry. 2003;22(3):152–159. [Google Scholar]
  54. Säumel I, Kotsyuk I, Hölscher M, Lenkereit C, Weber F, Kowarik I. How healthy is urban horticulture in high traffic areas? Trace metal concentrations in vegetable crops from plantings within inner city neighbourhoods in Berlin, Germany. Environmental Pollution. 2012;165:124–132. doi: 10.1016/j.envpol.2012.02.019. [DOI] [PubMed] [Google Scholar]
  55. Souci SW, Fachmann W, Kraut H. Food Composition and Nutrition Tables. 7 2008. 7th revised and completed edition. [Google Scholar]
  56. Tokalıoglu S, Kartal S. Statistical Evaluation of the Bioavailability of Heavy Metals from Contaminated Soils to Vegetables. Bulletin of Environmental Contamination and Toxicology. 2006;76:311–319. doi: 10.1007/s00128-006-0923-0. [DOI] [PubMed] [Google Scholar]
  57. Tokalıoglu S, Yılmaz V, Kartal S. An Assessment on metal sources by multivariate analysis and speciation of metals in soil samples using the BCR sequential extraction procedure. Clean – Soil, Air, Water. 2010;38(8):713–718. [Google Scholar]
  58. Udom BE, Mbagwu JSC, Adesodun JK, Agbim NN. Distribution of Zinc, copper, cadmium and lead in a tropical ultisol after long term disposal of sewage sludge. Environmental International. 2004;30:467–470. doi: 10.1016/j.envint.2003.09.004. [DOI] [PubMed] [Google Scholar]
  59. USDA, United States Department of Agriculture. National Nutrient Database for Standard Reference. Release 24, 2011 http://www.ars.usda.gov/Services/docs.htm?docid=8964.
  60. Voutsa D, Grimanis A, Samara C. Trace elements in vegetables grown in an industrial area in relation to soil and air particulate matter. Environmental Pollution. 1996;94(3):325–335. doi: 10.1016/s0269-7491(96)00088-7. [DOI] [PubMed] [Google Scholar]
  61. Wang Z, Chai L, Yang Z, Wang Y, Wang H. Identifying sources and assessing potential risk of heavy metals in soils from direct exposure to children in a mine-impacted city, Changsha, China. Journal of Environmental Quality. 2010;39(5):1616–1623. doi: 10.2134/jeq2010.0007. [DOI] [PubMed] [Google Scholar]
  62. WHO. Food additives and contaminants (flavours; cadmium and lead); Seventy-third meeting of the Joint FAO/WHO Expert Committee on Food Additives; Geneva, Switzerland: 2010. Available online. http://www.who.int/entity/foodsafety/publications/chem/summary73.pdf. [Google Scholar]
  63. Yujing C, Yong-Guan Z, Rihong Z, Yizhong H, Yi Q, Jianzhong L. Exposure to metal mixtures and human health impacts in a contaminated area in Nanning, China. Environ Intern. 2005;31:784–790. doi: 10.1016/j.envint.2005.05.025. [DOI] [PubMed] [Google Scholar]
  64. Zheng N, Wang Q, Zheng D. Health risk of Hg, Pb, Cd, Zn, and Cu to the inhabitants around Huludao Zinc Plant in China via consumption of vegetables. Science of the Total Environment. 2007;383:81–89. doi: 10.1016/j.scitotenv.2007.05.002. [DOI] [PubMed] [Google Scholar]
  65. Zimmerman AJ, Weindorf DC. Heavy Metal and Trace Metal Analysis in Soil by Sequential Extraction: A Review of Procedures. International Journal of Analytical Chemistry. 2010;2010:Article ID 387803, 7. doi: 10.1155/2010/387803. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Zoni S, Bonetti G, Lucchini R. Olfactory functions at the intersection between environmental exposure to manganese and Parkinsonism. Trace Elem Med Biol. 2012;26(2–3):179–82. doi: 10.1016/j.jtemb.2012.04.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Zwolinski J, Matuszezyk I, Zwolinska B. Accumulation of sulphur and metals in and on pine (Pinus Sylvestris L.) and spruce (Picea Abies (L.) Karst.) needles in industrial regions in southern Poland. Folia For Plo. 1998;40(Ser A):47–57. [Google Scholar]

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