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Article

Effect of Cadmium, Copper and Lead on the Growth of Rice in the Coal Mining Region of Quang Ninh, Cam-Pha (Vietnam)

by
J. Eduardo Marquez
1,†,
Olivier Pourret
2,*,
Michel-Pierre Faucon
2,
Sebastian Weber
1,‡,
Thi Bích Hòa Hoàng
1,§ and
Raul E. Martinez
1,*,||
1
Institute for Earth and Environmental Science, Albert-Ludwigs University, 79104 Freiburg, Germany
2
AGHYLE, UniLaSalle, 60026 Beauvais cedex, France
*
Authors to whom correspondence should be addressed.
†
Current address: SRK Consulting, Vancouver, BC V6E 3X2, Canada.
‡
Current address: Sächsisches Landesamt für Umwelt und Geologie, 09599 Freiberg, Germany.
§
Current address: Quang Ninh University of Industry, Dong Trieu, Quang Ninh, Vietnam.
||
Current address: Max-Planck-Research Group Paleobiogeochemistry, University of Bremen, 28359 Bremen, Germany.
Sustainability 2018, 10(6), 1758; https://doi.org/10.3390/su10061758
Submission received: 3 May 2018 / Revised: 18 May 2018 / Accepted: 23 May 2018 / Published: 27 May 2018
(This article belongs to the Special Issue Heavy Metals in Agricultural Soils: Sources, Releases and Environmental Impacts)
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Abstract

:
The goal of this study was to quantify the mobility and partitioning of trace elements originating from mine waste rocks derived from open pit coal extraction activities. The results showed that native rice plants were adapted to growing in metal contaminated soils, posing a severe health risk to local population. Sequential extraction procedures and bulk soil chemical analyses both suggest enrichment of Cd, Pb and Cu in rice paddy soils. Lead was shown to be evenly partitioned among all mineral and organic phases. Copper was associated with carbonates and organic matter. Smaller fractions of Pb and Cu were also bound to Fe and Mn oxides. Only 25% of Cd, 9% of Pb and 48% of Cu were associated with the exchangeable fraction, considered mobile and thus bioavailable for plant uptake. Effects of Cd, Cu and Pb on local Cam Pha Nep cai Hoa vang, and control Asia Italian rice, showed marked differences in growth. The local Vietnamese variety grew close to control values, even upon exposure to higher trace metal concentrations. Whereas the development of the control rice species was significantly affected by increasing trace metal concentrations. This result suggests toxic trace elements accumulation in the edible parts of crops.

1. Introduction

Open-pit coal mining in countries such as China and Vietnam, is one of the major causes of freshwater, soil and air pollution [1,2]. Indeed, overburden and acid mine drainage (AMD) from coal mining contaminate fertile soils and induce unproductive wastelands, as shown in Australia [3], Bangladesh [4], China [5,6], India [2,7] and Vietnam [8]. Open-pit coal mining involves excavation of the earthly bound ore, a process which releases large quantities of mine spoil [7]. Subsequent pollution with the characteristic leaching of toxic metal elements (not heavy metals as often read; see details in Pourret and Bollinger [9]) occurs and is of major concern for population cultivating near mining sites (e.g., Cd, Cu, Pb or Zn; [2,7,10]).
Waste rock material derived from open pit coal mining contains significant concentrations of reduced sulfides. These include pyrite (FeS2), chalcopyrite (CuFeS2) and other metal sulfides, including covellite (CuS), chalcocite (Cu2S) and galena (PbS). The Cd containing sulfide, greenockite (CdS), has been found to be frequently associated with sphalerites and wurtzites [(Zn,Fe)S] [11]. The chemical weathering of these minerals enhances the solubility, mobilization and bioavailability of trace metals [11]. In contaminated areas, these elements may be transported by colloidal or suspended particulates present in water used to irrigate agricultural land [12].
Trace elements in soils have detrimental effects on the growth of staple crops (e.g., rice, barley, garlic, wheat, maize) [13,14,15,16], and can accumulate in their edible parts posing a serious health risk to humans [8,17,18,19]. Cadmium, Cu and Pb have been identified as having adverse effects on rice (Oryza sativa L.) and wheat (Triticum aestivum L.) growth [16,17,20,21,22]. In addition, toxic metal tolerance in crop varieties has been shown in rice, sunflower, wheat and leguminous species, leading to an increment in metal uptake and to their concentration in edible plant parts, posing a severe health risk [8,23,24].
In this study, a first approach quantifies metal fractionation and mobility in mine waste rock and rice paddy soil samples, from the open-pit coal mining region of Quang Ninh, (Vietnam). A second part of the study focuses on determining the effect of mobile toxic elements (e.g., Cd, Cu, Pb) on the growth of native and control rice plant varieties.

2. Materials and Methods

2.1. Study Area

The northeastern province of Quang Ninh hosts the largest anthracite coal reserves in Vietnam (http://www.eia.gov). A substantial increase in anthracite production in the past decades has had a detrimental effect on the quality of agricultural soils in this region [8]. In recent years, this problem has worsened since Vietnam became one of the world’s major coal exporter (Fong-Sam, 2017). The Coc Sau mine is the largest open pit coal facility and is located near Cam Pha city (Figure 1 and Figure 2) (http://www.vinacomin.vn/en.html). This facility has operated in this area for more than 100 years, extracting approximately 1 Mt of anthracite coal annually. During the wet season, the tropical climate of this region enhances chemical weathering of coal-mine tailings. This is known to lead to the oxidation of primary sulfides, the generation of AMD, and the release of trace metals, into aquatic environments such as streams, lakes and agricultural soils [11].

2.2. Sampling of Coal and Waste Rock Material

Coal and mine waste rock samples were collected for bulk chemical analysis, from the locations shown in Figure 2. Between 10 and 15 hand specimen coal and waste rock samples were collected from these locations and subjected to further analyses. The mine tailing sampling sites were labelled as S1, S2 and S4, and the coal sampling site from inside the Coc-Sau mine, was named: “S3”. “S5” in Figure 2 is the location of rice paddy soil sample collection, as previously described in Martinez et al. [16]. The coal samples were prepared for bulk metal content analysis following the ISO13909-4:2016 protocol (ISO 2016). Both the waste rock and coal samples were dried at 40 °C for 4 h. The samples were then powdered to an approximate grain size of 212 μm for bulk chemical analyses.

2.3. Bulk Chemical Analysis of Coal and Mine Waste Rock

Approximately 5 g of powdered coal or mine waste rock samples were dried overnight in an oven at 60 °C. Subsequently, these samples were digested with 60 mL of boiling 2 mol/L HNO3 for 2 h in a reflux apparatus [25]. The solutions were further allowed to cool before filtration using a Whatman No. 595 filtration device. Thereafter, the filtrate was quantitatively transferred to a clean volumetric flask, diluted to 100 mL with 2 mol/L HNO3. The final solution was analyzed for bulk trace metal concentrations using flame (AAS vario-6 analytik Jena) and graphite-furnace (Zeeman Atomic Absorption Spectrometer 4110ZL—Perkin Elmer) atomic absorption spectroscopy (F-AAS and GF-AAS) in the Geochemistry Laboratory at the University of Freiburg, Germany. F-AAS and GF-AAS methods had a precision better than 5%, and detection limits of 0.029 mg/kg, 0.015 mg/kg and 0.005 mg/kg for Cd, Cu and Pb, respectively [26]. In order to validate F- and GF-AAS methods, a NIST reference material (i.e., SRM 2710) with elevated trace element concentrations, was prepared according to the protocol described by US EPA [25] (Table 1).

2.4. Sequential Extraction of Metals form Coal, Waste Rock and Soil Samples

The sequential extraction of metals from coal, waste rock or soil samples was performed as described below (protocol modified from Tessier et al. [27]). The procedure consisted of five steps: (i) Exchangeable fraction: To 2 g of coal, waste rock or soil sample, 16 mL of 1 mol/L C2H7NO2 (ammonium acetate instead of MgCl2, pH = 7 [26]) were added to the sample and mixed with mechanical shaker at 200 rpm for 1 h (VWR® Advanced digital shaker—Model 3500). The resulting solution was centrifuged at 4000 rpm for 1 h. The supernatant was filtered through a 0.45 μm cellulose acetate filter, and stored for chemical analysis. The remaining solid sample was then washed with 16 mL of ultrapure water (UPW—18 MΩ) and centrifuged for 30 min. (ii) Carbonate fraction: To the solid from Step 1, 16 mL of 1 mol/L C2H3NaO2 (sodium acetate) in acetic acid (i.e., 12.5 mL of acetic acid (100%) for 500 mL of 1 mol/L C2H3NaO2, pH = 5) were added and mixed in a mechanical shaker for 4 h. The solution was then allowed to stand overnight. After this time, the sample was centrifuged at 4000 rpm for 1 h, the supernatant was collected, washed and stored as in step (i). Fe-Mn oxides fraction: to the remaining solid, 40 mL of 0.04 mol/L NH2OH∙HCl (hydroxylammonium chloride) in acetic acid (2.78 g NH2OH∙HCl in 1 L 25% acetic acid; pH = 1.6) were added to a 50 mL sterile Falcon® tube in a water bath set at 96 °C. The sample was tightly closed and allowed to stand overnight. It was then centrifuged for 1 h at 4000 rpm and the supernatant filtered through a 0.45 μm cellulose acetate filter and stored for further chemical analysis. The remaining solid was washed as described above. (iv) Organic matter fraction: 6 mL of 0.02 mol/L HNO3 and 10 mL of 30% H2O2 (pH = 2) were added to the remaining solid at 85 °C for 2 h. After this time, 6 mL of 30% H2O2 (pH = 2) were added at 85 °C for a further 3 h. The solution was allowed to cool and 10 mL of 3.2 mol/L ammonium acetate in 20% HNO3 were added. The resulting solution was diluted to a maximum volume of 40 mL with UPW and mixed at 200 rpm for 30 min and left standing overnight. The sample was then centrifuged at 4000 rpm for 1 h, the supernatant was filtered through a cellulose 0.45 μm acetate filter and stored for chemical analysis. The remaining solid sample was dried to a constant weight at 40 °C and its weight was noted down. (v) Residual fraction: To the remaining solid from (iv), 10 mL of 2 mol/L HNO3 (instead of a mixture of HF-HClO4 as in the original protocol [26]) were added to 1 g of the previously dried sample and the resulting mixture was placed in a water bath for 2 h at 90 °C. The solution was then centrifuged at 4000 rpm for 1 h. The supernatant was collected with a 20 mL syringe, filtered through a 0.45 μm cellulose acetate filter and stored in a 15 mL Falcon® tube for chemical analysis.

2.5. Experiments of Rice Plant Growth

In order to quantify the effects of trace metals (e.g., Cu, Cd and Pb) on rice plant growth two Oryza sativa L. rice cultivars were used. The Asia cultivar, used as a control, and the local Vietnamese variety (Nep cai hoa vang). Asia cultivar whole grains were obtained in collaboration with the Unità di Ricerca per la Risicoltura (CREA, Vercelli, Italy). Native Vietnamese seeds of the Nep cai hoa vang cultivar were acquired from the Quang Ninh Seedlings Joint Stock Company in Cam Pha, Vietnam. For growth experiments sterile rice growth medium (RGM) was prepared. The RGM contained 6 g/L of phyto-agar, 0.049 g/L of Murashige and Skoog (MS) medium basal salt mixture, and 0.050 g/L of MES (2-(Nmorpholino) ethanesulfonic acid) biological buffer as described in Martinez et al. [28]. All components were obtained from Duchefa Biochemicals (Haarlem, The Netherlands). The phyto-agar generated a solid medium for the germination of the rice seeds. The RGM pH was adjusted to 5.7 with 0.1 mol/L NaOH prior to the addition of the phyto-agar. The RGM was subsequently sterilized by autoclaving at 121 °C for 20 min. Eventually, the RGM does not contain any trace metals [28].
To test the effect of Cd, Cu and Pb on the growth of rice plants, 200 mL of 0.01 mol/L Cd(NO3)∙4H2O, 0.01 mol/L CuSO4∙5H2O, and 0.01 mol/L Pb(NO3)2 were prepared in liquid RGM. Before the addition of the phyto-agar and the pH adjustment, volumes of the trace metal stock solutions were added to the RGM to yield final trace metal concentrations of: 2, 5 and 10 μmol Cd2+/L; 2, 5, 10 and 50 μmol Cu2+/L; and 50, 150, 300 and 500 μmol Pb2+/L. These concentrations were chosen based on the labile trace metal content of the paddy soil in Cam Pha reported previously by Martinez et al. [8]. Rice grains from each variety were planted in sterile 15 mL Falcon® tubes, containing 10 mL of solid RGM control, or with a corresponding trace metal content added. Nitrate and sulfate do not have effect on the experiment given the chosen pH (e.g., [8,28,29]).
A total of 120 seeds from each rice cultivar were exposed to the metal concentrations described earlier for a period of 15 days in a greenhouse at the University of Freiburg. A day/night cycle (14 h light/10 h dark) was generated under homogeneous light intensity of 55,000 to 60,000 lx. The temperature ranged from 28 to 32 °C, with a humidity of 85 to 90%. After 15 days, the rice plants were carefully pulled out of the growth medium and any remaining agar on the roots was removed. The plants were then dried overnight, in an oven at 60 °C. Growth was quantified by measuring the dry root biomass, as described previously [8,30,31].

2.6. Statistical Analysis

Descriptive statistics were performed on rice plant root dry weights from control (Asia) and native (Nep cai Hoa vang) rice plant varieties exposed to trace metal concentrations. Normality of data and homogeneity of variances was verified. A one-way ANOVA (Analysis of Variance) tested differences in root dry weight from rice plants grown in the presence of Cd, Cu and Pb concentrations. Significance was defined and represented as follows: ***: p < 0.001, **: p < 0.01, *: p < 0.05, NS = non-significant.

3. Results and Discussion

3.1. Coal and Mine Waste Rock Mineralogy and Bulk Chemical Analysis

The waste rock samples mostly show a massive, fine grained dark groundmass. However, more coarse-grained anthracitic layers displaying a brilliant, almost metallic luster can also be observed. Some samples display fibrous veins on joint surfaces. These coatings primarily consist of chlorite (e.g., clinochlore (Mg5Al)(AlSi3)O10(OH)8) and calcite (CaCO3). Even though bulk chemical analyses of coal samples indicate a significant sulfide content (0.45 wt %), all sulfides were present in small grain sizes. Back-scattered electron imaging revealed fine-grained sub-crystalline to amorphous metal sulfides. This can further indicate an increased surface area and therefore a higher extent of sulfide chemical weathering [1]. In addition, mine waste tailings comprised residues of clastic sediments, intercalated with the commercial coal seams. These sediments show a clast-supported, breccious fabric and a high degree of silica cementation. All clasts are composed of quartz, and show curved cracks running parallel to each other. This indicates the sediments underwent tectonic stress after diagenesis, favoring physical weathering and the kinetics of water-rock interaction. The matrix between the quartz clasts reveals a darkish color. It can be expected, that it contains impurities of sulfides and organic constituents. As all investigated samples contained coal to various amounts, the release through chemical weathering of associated trace metals is implied. Table 2 shows the results of the sequential extraction analyses of coal and mine waste rock samples collected at the locations indicated in Figure 2. Selected toxic trace metals (e.g., Cd, Pb, Cu) associated with reduced sulfides are reported in Table 2. As mentioned earlier, these metals can be mobilized upon chemical weathering, therefore contaminating freshwater sources and agricultural fields. Enrichment of these elements in Cam Pha agricultural soils, may be suggested by the results of bulk chemical analysis, in this study. In mine waste rocks, average concentrations of 0.09 ± 0.01, 24.5 ± 0.3 and 24.8 ± 0.8 mg/kg for Cd, Pb and Cu were determined respectively, whereas for rice paddy soils in Cam Pha, these values increased to 0.2 ± 0.1, 35 ± 1, and 27 ± 1 mg/kg as described in a previous study [8].

3.2. Trace Metal Sequential Extraction from Mine Waste Rocks

Results of sequential extraction analyses of coal and mine waste rock are shown in Table 2. Sequential extraction procedures revealed that Cu and Pb were associated to different extents with all mineral fractions in these mine waste rocks (Table 2). Cadmium concentrations were found to be below the detection limit. This finding is in good agreement with previous studies where no or little Cd was detected in mine tailings from sequential extraction protocols [32]. Lead was bound to carbonates, Fe- and Mn-oxides and organic matter. For samples collected from locations S1 and S2, 28% to 35% of the total Pb was bound to the carbonate fraction, and up to 28% of the total Pb was associated to organic matter (samples from location S3). In rocks from location S4, however, 35% of the total Pb concentration was detected in the Fe and Mn oxide fraction. This complex distribution pattern with a fairly even partition of Pb among all mineral phases in all samples suggests these waste rocks constitute a significant Pb source to Cam Pha agricultural soils. However, the release of Pb to aquatic soil environments, would be subjected to conditions resulting from chemical weathering, such as varying pH and Eh, as well as the presence of autochthonous organo-mineral colloids, capable of controlling the mobilization of trace elements through surface sorption processes [33]. In freshwater irrigation sources, used for Cam Pha rice paddies, pH and Eh values were measured to be 2.87 ± 0.55 and 549 ± 133 mV respectively [34], indicating an oxidizing environment, arising from the oxidation of reduced sulfide minerals in coal and waste rock particles and appropriate for the release of trace elements. Further support for this process can be obtained from the measured concentrations of Fe and SO42− in these waters, which ranged from 6.5 to 62.5 mg/L and 718 to 1132 mg/L respectively, as compared to control water values of 0 mg/L (Fe) and 173 to 225 mg/L (SO42−) [34].
Compared to the homogenous partitioning of Pb among the different mineral phases in waste rocks, Cu was preferentially bound to the organic fraction, with a 58% and 65% bound to organic matter in rock samples from locations S1 and S3 and 41% to 43% in rock samples from S2 and S4 respectively (Table 2). It should be noted, however, that 16% to 21% of the Cu was also associated with the carbonates in these two latter samples. Within the heterogeneous nature of the mine waste rocks, the results from the extraction of Pb and Cu, suggest that carbonates and organic matter are the dominant fractions giving rise to enhanced concentrations of these trace metals in paddy soils [8]. Iron- and Mn-oxides were associated with Pb and Cu in waste rock samples, to a lesser extent. Physical and chemical weathering of these mineral fractions can similarly generate low pH waters from the oxidation of sulfides within these rocks. Acidic conditions will lead to the release and mobilization of metal cations such as Cu and Pb into nearby agricultural land, such as rice paddy soils, as observed previously in Martinez et al. [8]. Although not detected through sequential extraction procedures (Table 2), Cd should not be disregarded as a potential contaminant in rice paddy soils, and in freshwater field irrigation sources. The presence of this element in Cam Pha rice paddies as shown by Martinez et al. [8], suggests a continuous accumulation of Cd in organic-rich soils, which can become mobile and thus bioavailable to growing crops, including the local rice plants.

3.3. Sequential Extraction of Cd, Cu and Pb from Cam Pha Rice Paddy Soil

Results of sequential extraction analyses of soil sample are shown in Table 3. Sequential extraction experiments were further carried out to understand the distribution of the toxic trace elements in Cam Pha rice paddy soils. As explained earlier, the mobility of an element largely depends on its distribution within geochemical fractions. Generally, it increases as follows: exchangeable > bound to carbonates > bound to Fe and Mg oxides > bound to organic matter >> bound to crystalline stable mineral phases (residual fraction) [35]. In soils, metal cations should be expected in two different pools, where hydrated metal cations may be found as “free” ions, or bound to dissolved organic matter. This dissolved fraction is the source of trace elements bioavailable to rice plant roots, whereas the metals remaining on the less mobile fractions, would not be regarded as being able to affect plant growth. The results in Table 3 show that 25% of the total Cd was bound to the exchangeable fraction, as it has been reported for soil systems with a pH < 8 [36]. Approximately 28% of the extracted Cd was associated with carbonates, 42% with Fe and Mg oxides, and 5% was bound to organic matter. It is consistent with recently published results from Yu et al. [37] and He et al. [38]. Consequently, the mobility of Cd is largely determined by the exchangeable, carbonate and Fe and Mn oxide fractions, which indicates that Cd would be progressively enriched in Cam Pha rice paddy soils.
The results in Table 3 show a distinct pattern of Pb partitioning in Cam Pha rice paddy soils. As suggested by previous studies, 71% of the Pb was found associated to the Fe and Mn oxide fraction [32], whereas only 14%, 9%, and 7% of the Pb was bound to the organic, exchangeable and carbonate fractions, respectively. These results coincide with those of Martley et al. [32], where Pb was found to be strongly associated with the Fe- and Mn-oxide fractions. As shown by the results in this study, a significant portion the Pb was associated with the carbonates in Cam Pha soils, similarly to what has been described earlier for other areas [8,32,39,40]. The combined binding of Pb to Fe and Mn oxides and the carbonate fraction may be explained by a higher near-neutral soil pH, attributed to the buffering by carbonate minerals found in mine tailings. Lead mobility may be also constrained by its complexation with organic matter [41,42]. Indeed, at slightly acidic pH values (i.e., 4 < pH < 6), a portion of the reactive functional groups within the organic matter matrix can become protonated, generating the release of otherwise bound Pb through a H+/Pb2+ competition reaction, which in turn would depend on acidity and metal sorption constants as indicated previously for Cd [43].
Copper was found associated to the exchangeable fraction (48%) and bound to carbonates (52%), suggesting a pH dependent mobility of Cu in paddy soils. This distribution pattern is consistent with that described as characteristic for highly mobile Cu contamination in soils [32]. However, in cases were the degree of Cu contamination is low, this metal is also present in less mobile forms, such as bound to hydrous Fe–Mn oxides [44,45]. The high-concentration of Cu associated to more exchangeable fraction implies that the Cu would be bioavailable for plant uptake. As further evidence, the results of trace metal sequential extraction in this study are in good agreement with those of chemical equilibrium and metal speciation modeling approaches as shown previously [46,47,48]. Plants, such as the native rice variety in Cam Pha require Cu as an essential micronutrient for their growth. However, at high concentrations, Cu may have toxic effects as was observed in this study, from growth experiments with Cu concentrations higher than 10 µmol/L. Thus, of the total extracted metals, 25% of Cd, 9% of Pb and 48% of Cu were considered to be mobile and thus bioavailable in Cam Pha rice paddy soils. These results correlate with previously published results from plant growth experiments in the presence of elevated metal cation concentrations [29,37,49].

3.4. Effects of Cd, Cu and Pb on Rice Plant Growth

Cadmium, Pb and Cu were found to be present in Cam Pha rice paddy soils, with concentrations in the range of 0.2 ± 0.1 mg/kg, 35 ± 1 mg/kg, and 27 ± 1 mg/kg of dry soil, as previously described by Martinez et al. [8]. In order to further understand the effects of toxic trace elements on rice plant growth, hydroponic laboratory experiments were performed, with two rice cultivars, namely: the local Nep cai hoa vang and the control Asia cultivars obtained as described earlier. The cultivars were exposed to various concentrations of the trace elements Cd, Cu and Pb to test their effects on the growth of the local Cam Pha and the Asia control plant varieties. Under laboratory control conditions (i.e., in the absence of added trace metals), the biomass for the Nep cai hoa vang and the Asia rice cultivars averaged 7.2 ± 1.9 mg and 3.6 ± 1.9 mg, respectively.
Results from the one-way ANOVA analyses for the two rice varieties, are shown in Figure 3. For each variety, there are no significant differences in rice plant growth between conditions when the same letter is shown [upper case letters for control (Asia) and lower case letters for native (Nep cai Hoa vang) rice plant varieties]. Figure 3a–c show the effects of Cd, Cu, and Pb concentrations, respectively on the growth of control Asia and native Nep cai hoa vang rice plant varieties. Growth was quantified by measuring the root dry weight, as suggested previously [30,31]. The results in Figure 3a show that the local Nep cai hoa vang cultivar had a better growth than the Asia species at high Cd levels. However, both varieties revealed a significant decrease in root dry weight relative to the control experiments at 2 μmol/L Cd. Under this condition, the biomass of the Asia rice root decreased by 53% relative to the control, while the Nep cai hoa vang cultivar weight declined by 38%. This suggests the presence of growth stress for the Asia variety when exposed to 2 µmol/L Cd concentrations. This coincides with results observed previously by Wang et al. [50]. The difference in growth between the control and native rice cultivars in Cd containing medium could be explained by the divergent selection of cultivars best growing in soil types presenting a high variability of Cd contamination [37,50,51]. This mechanism may be suggested by the results in Figure 3a where the local cultivar (Nep cai hoa vang) grows closer to control values in the presence of 5 and 10 µmol/L Cd and may be therefore adapted to high Cd concentrations. Rice plants have been shown to develop trace metal protection mechanisms by sequestering metals in roots or by combining them with deprotonated organic acids, proteins, and polysaccharides [52]. For the 5 and 10 µmol/L Cd conditions, the results in Figure 3a show further a significant decrease in biomass for the Asia variety of 41% and 60% respectively with respect to the control at 0 µmol/L Cd. The toxic effect observed on the local variety for the 2 µmol/L Cd and the subsequent growth recovery at higher concentrations (5 and 10 µmol/L Cd) may further suggest the presence of a protective antioxidant mechanism in Cam Pha rice.
Figure 3b illustrates the effect of Cu concentrations (2, 5, 10 and 50 µmol/L) on the growth of control and local Cam Pha rice plant varieties. Within experimental error, Cu at concentrations ranging from 2 to 10 µmol/L did not significantly affect the growth of the control Asia rice species. This result suggests that the resistance to Cu shown by the control variety could be associated to an important nutritional need for Cu as highlighted in a few Cu tolerant plant species [53,54,55]. However, Cu showed a mild toxic effect for the local Nep cai Hoa vang rice cultivar. This metal plays a significant role in cellular metabolism and growth in plants. However, its presence in concentrations higher than those required may impose severe toxic effects [54,56]. At concentrations higher than 3 mg/kg and ranging up to 200 mg/kg (~3000 µmol/L) Cu has been described to affect the rice root plasma membrane and hinder important physiological processes. Photosynthetic reactions involving photosystem II (PSII) have been proposed to be the principal target of Cu toxicity. In rice plants, Cu has been associated with the production of reactive oxygen species (ROS), leading to oxidative stress [52,55]. For sensitive plant species, such as local rice variety in Vietnam, 3.2 mg/kg (equivalent to 50 µmol/L Cu) were shown to be toxic, yielding decrease of about 10–20% in root biomass as shown in Figure 3b. These results are consistent with those of Xu et al. [57] who report similar effects for Cu induced toxicity in crops. The difference in the response of rice cultivars to Cu may be explained by differences in resistance mechanisms and/or plant nutritional needs. A future perspective will be to examine both the physiological pathways involved in Cu nutrition and oxidative stress in these two rice cultivars.
The results from growth experiments with Pb(NO3)2 in sterile rice growth medium and two different rice cultivars are presented in Figure 3c. The results suggest a stress-induced growth of roots at 50 μmol/L Pb, as shown in Figure 3c and Figure 4. The sensitivity and tolerance index of rice against Pb stress mainly depends on uptake of Pb from the soil and internal sequestration of the plants [19]. As Pb concentrations in the rice growth medium increased, the growth of both rice cultivars relative to the control condition decreased significantly (Figure 3c and Figure 4). At 150 μmol/L Pb, the Nep cai hoa vang rice root dry weight decreased to 82% relative to the control, while the weight of the Asia cultivar roots was limited to 63%. At 300 μmol/L Pb, the roots of the Nep cai hoa vang variety showed a root dry weight of 69% relative to the control condition, whereas the Asia cultivar achieved a weight of only 14%. These results are in good agreement with previous studies suggesting that high Pb concentrations (>300 mg/kg ~ >5000 µmol/L) in rice paddy soils lead to changes in plant cell physiological pathways and result in rice yield decline and deterioration of rice quality [58]. The growth of the local rice cultivar at highest Pb concentration strongly suggests a higher resistance of the local rice plants to Pb, which can be explained by its adaptation to trace element contaminated rice paddies in this area, as explained earlier for Cd [8].
The combination of sequential extraction and rice growth experiments shows that mine waste rocks are the source of trace metal bioavailability in Cam Pha rice paddies. Although it has been shown that at low concentrations rice plant growth may be enhanced by these elements, further studies are needed to assess in detail the physiological mechanisms in rice affected by the presence of excess trace metals. Unlike some other higher plants, i.e., maize [59] rice is not considered to be an efficient metal accumulator, however, the difference in growth observed between rice varieties can cause an artificial selection of plants adapted to growing in soils with high trace metal concentrations. This mechanism would lead to the accumulation of these elements, in edible plant parts (e.g., rice grain endosperm) leading to chronic illnesses in humans, as indicated earlier by Martinez et al. [8], for the Vietnamese rice variety in this study. Exposure of rice plants to trace elements, such as those derived from mine waste rocks in Cam Pha, significantly reduces the root length and shoot length of rice seedlings, in the presence of the highest metal concentrations. The uptake of toxic metal elements by the rice roots may be in part impeded by the presence of root iron plaques, composed mainly of Fe (III) (oxy)hydroxides which heterogeneously cover the root surface. However, further detailed studies are needed to determine the mechanisms of iron plaque formation and quantifying their role in mitigating trace metal uptake by rice roots.

4. Conclusions

Sequential extraction of mine waste tailings from the Cam Pha area show a heterogeneous distribution of trace elements bound to distinct mineral composites (e.g., Pb to Fe-Mn oxides) and organic matter (e.g., Cu). Chemical weathering of waste rocks, especially under tropical climate conditions, leads to an enhanced release of potentially toxic trace elements, which become mobile in agricultural soils and become bioavailable to essential food crops, such as rice. Particles derived from mine waste rocks through weathering are composed of a number of different primary and secondary minerals and organic matter which have different sorption capacities for trace metals. These processes contribute to the accumulation of high levels of Cd, Cu, and Pb within the upper layers of rice paddy soil in excess of the established concentration maxima for healthy agricultural soils as shown by a previous study done on this area. Exposure of control Asia and local Nep cai Hoa vang rice varieties to increasing concentrations of trace metals (e.g., Cd, Cu and Pb) caused a significant decrease in growth for the Asia variety as compared to the local vietnamese rice. This divergence in growth response points to a possible local adaptation of local rice plants to contaminated Cam Pha paddy soils. In the third world, agricultural development in tropical regions with contaminated soils would not be able to discard toxic metal resistant rice varieties to ensure a required rice production, however this implies a danger for human consumption of this major staple crop in these areas.

Author Contributions

J.E.M. and R.E.M conceived and designed the experiments; J.E.M. performed the experiments; J.E.M., O.P., S.W., M.-P.F., T.B.H.H. and R.E.M. analyzed the data and wrote the paper.

Funding

This research received no external funding.

Acknowledgments

R.E.M. would like to acknowledge funding for this research project provided by the Institute for Earth and Environmental Science and the Faculty of Environment and Natural Resources, at the University of Freiburg. The authors would also like to thank Giampiero Valé of the Consiglio per la Ricerca e la Sperimentazione in Agricoltura—Unità di Ricerca per la Risicoltura in Vercelli, Italy, for kindly providing model Oryza sativa L. whole rice grain varieties. Sigrid Hirth-Walther, of the Institute of Earth and Environmental Sciences, for analysis of soil and plant biomass samples with for AAS and IC. This work was also made possible through a M. Sc. DAAD/CONACYT Scholarship to J.E.M.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Orem, W.H.; Finkelman, R.B. 9.8-Coal Formation and Geochemistry A2-Holland, Heinrich D. In Treatise on Geochemistry, 2nd ed.; Turekian, K.K., Ed.; Elsevier: Oxford, UK, 2014; pp. 207–232. [Google Scholar]
  2. Masto, R.E.; George, J.; Rout, T.K.; Ram, L.C. Multi element exposure risk from soil and dust in a coal industrial area. J. Geochem. Explor. 2017, 176, 100–107. [Google Scholar] [CrossRef]
  3. Larsson, M.; Nosrati, A.; Kaur, S.; Wagner, J.; Baus, U.; Nydén, M. Copper removal from acid mine drainage-polluted water using glutaraldehyde-polyethyleneimine modified diatomaceous earth particles. Heliyon 2018, 4, e00520. [Google Scholar] [CrossRef] [PubMed]
  4. Bhuiyan, M.A.H.; Parvez, L.; Islam, M.A.; Dampare, S.B.; Suzuki, S. Heavy metal pollution of coal mine-affected agricultural soils in the northern part of Bangladesh. J. Hazard. Mater. 2010, 173, 384–392. [Google Scholar] [CrossRef] [PubMed]
  5. Basnet, P.; Amarasiriwardena, D.; Wu, F.; Fu, Z.; Zhang, T. Elemental bioimaging of tissue level trace metal distributions in rice seeds (Oryza sativa L.) from a mining area in China. Environ. Pollut. 2014, 195, 148–156. [Google Scholar] [CrossRef] [PubMed]
  6. Hu, X.-F.; Jiang, Y.; Shu, Y.; Hu, X.; Liu, L.; Luo, F. Effects of mining wastewater discharges on heavy metal pollution and soil enzyme activity of the paddy fields. J. Geochem. Explor. 2014, 147, 139–150. [Google Scholar] [CrossRef]
  7. Choudhury, B.U.; Malang, A.; Webster, R.; Mohapatra, K.P.; Verma, B.C.; Kumar, M.; Das, A.; Islam, M.; Hazarika, S. Acid drainage from coal mining: Effect on paddy soil and productivity of rice. Sci. Total Environ. 2017, 583, 344–351. [Google Scholar] [CrossRef] [PubMed]
  8. Martinez, R.E.; Marquez, J.E.; Hoàng, T.B.H.; Gieré, R. Open-pit coal-mining effects on rice paddy soil composition and metal bioavailability to Oryza sativa L. plants in Cam Pha, northeastern Vietnam. Environ. Sci. Pollut. Res. 2013, 20, 7686–7698. [Google Scholar] [CrossRef] [PubMed]
  9. Pourret, O.; Bollinger, J.-C. “Heavy metal”—What to do now: To use or not to use? Sci. Total Environ. 2018, 610, 419–420. [Google Scholar] [CrossRef] [PubMed]
  10. Ashraf, U.; Kanu, A.S.; Mo, Z.; Hussain, S.; Anjum, S.A.; Khan, I.; Abbas, R.N.; Tang, X. Lead toxicity in rice: Effects, mechanisms, and mitigation strategies—A mini review. Environ. Sci. Pollut. Res. 2015, 22, 18318–18332. [Google Scholar] [CrossRef] [PubMed]
  11. Blowes, D.W.; Ptacek, C.J.; Jambor, J.L.; Weisener, C.G.; Paktunc, D.; Gould, W.D.; Johnson, D.B. 11.5-The Geochemistry of Acid Mine Drainage A2-Holland, Heinrich D. In Treatise on Geochemistry, 2nd ed.; Turekian, K.K., Ed.; Elsevier: Oxford, UK, 2014; pp. 131–190. [Google Scholar]
  12. Moyé, J.; Picard-Lesteven, T.; Zouhri, L.; El Amari, K.; Hibti, M.; Benkaddour, A. Groundwater assessment and environmental impact in the abandoned mine of Kettara (Morocco). Environ. Pollut. 2017, 231 Pt 1, 899–907. [Google Scholar] [CrossRef] [PubMed]
  13. Adriano, D.C. Trace Elements in Terrestrial Environments: Biogeochemistry, Bioavailability and Risks of Metals; Springer: Berlin, Germany, 2001. [Google Scholar]
  14. Kabata-Pendias, A.; Pendias, H. Trace Elements in Soils and Plants, 3rd ed.; CRC Press: Boca Raton, FL, USA, 2001; p. 403. [Google Scholar]
  15. Rinklebe, J.; Shaheen, S.M.; Yu, K. Release of As, Ba, Cd, Cu, Pb, and Sr under pre-definite redox conditions in different rice paddy soils originating from the U.S.A. and Asia. Geoderma 2016, 270, 21–32. [Google Scholar] [CrossRef]
  16. Abin, S.; Panitlertumpai, N.; Nakbanpote, W.; Prasad, M.N.V. 14 Fate of Trace Elements in Rice Paddies. In Trace Elements in Waterlogged Soils and Sediments; Jörg Rinklebe, A.S.K., Michael, P., Eds.; CRC Press: Boca Raton, FL, USA, 2017. [Google Scholar]
  17. Yap, D.W.; Adezrian, J.; Khairiah, J.; Ismail, B.S.; Ahmad-Mahir, R. The uptake of heavy metals by paddy plants (Oryza sativa) in Kota Marudu, Sabah, Malaysia. Am. Eurasian J. Agric. Environ. Sci. 2009, 6, 16–19. [Google Scholar]
  18. Li, H.; Luo, N.; Li, Y.W.; Cai, Q.Y.; Li, H.Y.; Mo, C.H.; Wong, M.H. Cadmium in rice: Transport mechanisms, influencing factors, and minimizing measures. Environ. Pollut. 2017, 224, 622–630. [Google Scholar] [CrossRef] [PubMed]
  19. Liang, C.; Xiao, H.; Hu, Z.; Zhang, X.; Hu, J. Uptake, transportation, and accumulation of C60 fullerene and heavy metal ions (Cd, Cu, and Pb) in rice plants grown in an agricultural soil. Environ. Pollut. 2018, 235, 330–338. [Google Scholar] [CrossRef] [PubMed]
  20. Williams, P.N.; Lei, M.; Sun, G.; Huang, Q.; Lu, Y.; Deacon, C.; Meharg, A.A.; Zhu, Y.-G. Occurrence and Partitioning of Cadmium, Arsenic and Lead in Mine Impacted Paddy Rice: Hunan, China. Environ. Sci. Technol. 2009, 43, 637–642. [Google Scholar] [CrossRef] [PubMed]
  21. Hu, Y.; Cheng, H.; Tao, S. The Challenges and Solutions for Cadmium-contaminated Rice in China: A Critical Review. Environ. Int. 2016, 92–93, 515–532. [Google Scholar] [CrossRef] [PubMed]
  22. Sun, L.; Yang, J.; Fang, H.; Xu, C.; Peng, C.; Huang, H.; Lu, L.; Duan, D.; Zhang, X.; Shi, J. Mechanism study of sulfur fertilization mediating copper translocation and biotransformation in rice (Oryza sativa L.) plants. Environ. Pollut. 2017, 226, 426–434. [Google Scholar] [CrossRef] [PubMed]
  23. Lei, M.; Tie, B.; Williams, P.N.; Zheng, Y.; Huang, Y. Arsenic, cadmium, and lead pollution and uptake by rice (Oryza sativa L.) grown in greenhouse. J. Soils Sediments 2011, 11, 115–123. [Google Scholar] [CrossRef]
  24. Ge, L.; Cang, L.; Yang, J.; Zhou, D. Effects of root morphology and leaf transpiration on Cd uptake and translocation in rice under different growth temperature. Environ. Sci. Pollut. Res. 2016, 23, 24205–24214. [Google Scholar] [CrossRef] [PubMed]
  25. United States Environmental Protection Agency. Method 3050B: Acid Digestion of Sediments, Sludges, and Soils; US EPA: Washington, DC, USA, 1996.
  26. Marquez, J.E. Geochemical Characterization of Coal and Mine Rock Waste Samples from the Region of Cam Pha in NE-Vietnam and Their Effect on Rice Paddy Soil Composition and Toxic Metal Bioavailability. Master’s Thesis, Institute for Earth and Environmental Science, University of Freiburg, Freiburg, Germany, 2013. [Google Scholar]
  27. Tessier, A.; Campbell, P.G.C.; Bisson, M. Sequential extraction procedure for the speciation of particulate trace metals. Anal. Chem. 1979, 51, 844–851. [Google Scholar] [CrossRef]
  28. Martinez, R.E.; Pourret, O.; Faucon, M.-P.; Dian, C. Effect of rare earth elements on rice plant growth. Chem. Geol. 2018, 489, 28–37. [Google Scholar] [CrossRef]
  29. Lange, B.; Pourret, O.; Meerts, P.; Jitaru, P.; Cancès, B.; Grison, C.; Faucon, M.P. Copper and cobalt mobility in soil and accumulation in a metallophyte as influenced by experimental manipulation of soil chemical factors. Chemosphere 2016, 146, 75–84. [Google Scholar] [CrossRef] [PubMed]
  30. Bashan, Y.; De-Bashan, L.E. Fresh-weight measurements of roots provide inaccurate estimates of the effects of plant growth-promoting bacteria on root growth: A critical examination. Soil Biol. Biochem. 2005, 37, 1795–1804. [Google Scholar] [CrossRef]
  31. Gardea-Torresdey, J.L.; Peralta-Videa, J.R.; Montes, M.; De La Rosa, G.; Corral-Diaz, B. Bioaccumulation of cadmium, chromium and copper by Convolvulus arvensis L.: Impact on plant growth and uptake of nutritional elements. Bioresour. Technol. 2004, 92, 229–235. [Google Scholar] [CrossRef] [PubMed]
  32. Martley, E.; Gulson, B.; Louie, H.; Wu, M.; Di, P. Metal partitioning in soil profiles in the vicinity of an industrial complex, New South Wales, Australia. Geochem. Explor. Environ. Anal. 2004, 4, 171–179. [Google Scholar] [CrossRef]
  33. Martinez, R.E.; Sharma, P.; Kappler, A. Surface binding site analysis of Ca2+-homoionized clay–humic acid complexes. J. Colloid Interface Sci. 2010, 352, 526–534. [Google Scholar] [CrossRef] [PubMed]
  34. Hoàng, T.B.H. Mineralogical and Chemical Characterization of Airborne Dust Particles and Their Environmental Effects in the Open-Pit Coal Mining Area in Quang Ninh, NE Vietnam. Ph.D. Thesis, Institute for Earth and Environmental Science, University of Freiburg, Freiburg, Germany, 2017. [Google Scholar]
  35. Yin, H.; Tan, N.; Liu, C.; Wang, J.; Liang, X.; Qu, M.; Feng, X.; Qiu, G.; Tan, W.; Liu, F. The associations of heavy metals with crystalline iron oxides in the polluted soils around the mining areas in Guangdong Province, China. Chemosphere 2016, 161, 181–189. [Google Scholar] [CrossRef] [PubMed]
  36. United States Environmental Protection Agency. Review of Geochemistry and Available Kd Values for Cadmium, Cesium, Chromium, Lead, Plutonium, Radon, Strontium, Thorium, Tritium (3H), and Uranium; EPA 402-R-99-004B; US EPA: Washington, DC, USA, 1999.
  37. Yu, H.-Y.; Liu, C.; Zhu, J.; Li, F.; Deng, D.-M.; Wang, Q.; Liu, C. Cadmium availability in rice paddy fields from a mining area: The effects of soil properties highlighting iron fractions and pH value. Environ. Pollut. 2016, 209, 38–45. [Google Scholar] [CrossRef] [PubMed]
  38. He, H.; Tam, N.F.Y.; Yao, A.; Qiu, R.; Li, W.C.; Ye, Z. Growth and Cd uptake by rice (Oryza sativa) in acidic and Cd-contaminated paddy soils amended with steel slag. Chemosphere 2017, 189, 247–254. [Google Scholar] [CrossRef] [PubMed]
  39. Merrington, G.; Alloway, B.J. The flux of Cd, Cu, Pb and Zn in mining polluted soils. Water Air Soil Pollut. 1994, 73, 333–344. [Google Scholar] [CrossRef]
  40. Maskall, J.E.; Thornton, I. Chemical Partitioning of Heavy Metals in Soils, Clays and Rocks at Historical Lead Smelting Sites. Water Air Soil Pollut. 1998, 108, 391–409. [Google Scholar] [CrossRef]
  41. Ponthieu, M.; Pourret, O.; Marin, B.; Schneider, A.R.; Morvan, X.; Conreux, A.; Cancès, B. Evaluation of the impact of organic matter composition on metal speciation in calcareous soil solution: Comparison of Model VI and NICA-Donnan. J. Geochem. Explor. 2016, 165, 1–7. [Google Scholar] [CrossRef]
  42. Schneider, A.R.; Cancès, B.; Ponthieu, M.; Sobanska, S.; Benedetti, M.F.; Pourret, O.; Conreux, A.; Calandra, I.; Martinet, B.; Morvan, X.; et al. Lead distribution in soils impacted by a secondary lead smelter: Experimental and modelling approaches. Sci. Total Environ. 2016, 568, 155–163. [Google Scholar] [CrossRef] [PubMed]
  43. Martinez, R.E.; Pedersen, K.; Ferris, F.G. Cadmium complexation by bacteriogenic iron oxides from a subterranean environment. J. Colloid Interface Sci. 2004, 275, 82–89. [Google Scholar] [CrossRef] [PubMed]
  44. Pourret, O.; Lange, B.; Houben, D.; Colinet, G.; Shutcha, M.; Faucon, M.P. Modeling of cobalt and copper speciation in metalliferous soils from Katanga (Democratic Republic of Congo). J. Geochem. Explor. 2015, 149, 87–96. [Google Scholar] [CrossRef]
  45. Hall, G.E.M.; Vaive, J.E.; Beer, R.; Hoashi, M. Selective leaches revisited, with emphasis on the amorphous Fe oxyhydroxide phase extraction. J. Geochem. Explor. 1996, 56, 59–78. [Google Scholar] [CrossRef]
  46. Lange, B.; Faucon, M.P.; Meerts, P.; Shutcha, M.; Mahy, G.; Pourret, O. Prediction of the edaphic factors influence upon the copper and cobalt accumulation in two metallophytes using copper and cobalt speciation in soils. Plant Soil 2014, 379, 275–287. [Google Scholar] [CrossRef]
  47. Cui, Y.; Weng, L. Interpretation of heavy metal speciation in sequential extraction using geochemical modelling. Environ. Chem. 2015, 12, 163–173. [Google Scholar] [CrossRef]
  48. Pourret, O.; Lange, B.; Bonhoure, J.; Colinet, G.; Decrée, S.; Mahy, G.; Séleck, M.; Shutcha, M.; Faucon, M.-P. Assessment of soil metal distribution and environmental impact of mining in Katanga (Democratic Republic of Congo). Appl. Geochem. 2016, 64, 43–55. [Google Scholar] [CrossRef]
  49. Adamo, P.; Dudka, S.; Wilson, M.J.; McHardy, W.J. Chemical and mineralogical forms of Cu and Ni in contaminated soils from the Sudbury mining and smelting region, Canada. Environ. Pollut. 1996, 91, 11–19. [Google Scholar] [CrossRef]
  50. Wang, Y.; Jiang, X.; Li, K.; Wu, M.; Zhang, R.; Zhang, L.; Chen, G. Photosynthetic responses of Oryza sativa L. seedlings to cadmium stress: Physiological, biochemical and ultrastructural analyses. BioMetals 2014, 27, 389–401. [Google Scholar] [CrossRef] [PubMed]
  51. Rizwan, M.; Ali, S.; Adrees, M.; Rizvi, H.; Zia-ur-Rehman, M.; Hannan, F.; Qayyum, M.F.; Hafeez, F.; Ok, Y.S. Cadmium stress in rice: Toxic effects, tolerance mechanisms, and management: A critical review. Environ. Sci. Pollut. Res. 2016, 23, 17859–17879. [Google Scholar] [CrossRef] [PubMed]
  52. Kuang, X.; Gu, J.-D.; Tie, B.; Yao, B.; Shao, J. Interactive effects of cadmium and Microcystis aeruginosa (cyanobacterium) on the growth, antioxidative responses and accumulation of cadmium and microcystins in rice seedlings. Ecotoxicology 2016, 25, 1588–1599. [Google Scholar] [CrossRef] [PubMed]
  53. Chipeng, F.K.; Hermans, C.; Colinet, G.; Faucon, M.P.; Ngongo, M.; Meerts, P.; Verbruggen, N. Copper tolerance in the cuprophyte Haumaniastrum katangense (S. Moore) P.A. Duvign. & Plancke. Plant Soil 2010, 328, 235–244. [Google Scholar]
  54. Faucon, M.P.; Chipeng, F.; Verbruggen, N.; Mahy, G.; Colinet, G.; Shutcha, M.; Pourret, O.; Meerts, P. Copper tolerance and accumulation in two cuprophytes of South Central Africa: Crepidorhopalon perennis and C. tenuis (Linderniaceae). Environ. Exp. Bot. 2012, 84, 11–16. [Google Scholar] [CrossRef]
  55. Lange, B.; van der Ent, A.; Baker, A.J.M.; Echevarria, G.; Mahy, G.; Malaisse, F.; Meerts, P.; Pourret, O.; Verbruggen, N.; Faucon, M.-P. Copper and cobalt accumulation in plants: A critical assessment of the current state of knowledge. New Phytol. 2017, 213, 537–551. [Google Scholar] [CrossRef] [PubMed]
  56. Shutcha, M.N.; Mubemba, M.M.; Faucon, M.P.; Luhembwe, M.N.; Visser, M.; Colinet, G.; Meerts, P. Phytostabilisation of copper-contaminated soil in Katanga: An experiment with three native grasses and two amendments. Int. J. Phytoremediat. 2010, 12, 616–632. [Google Scholar] [CrossRef] [PubMed]
  57. Xu, J.; Yang, L.; Wang, Z.; Dong, G.; Huang, J.; Wang, Y. Toxicity of copper on rice growth and accumulation of copper in rice grain in copper contaminated soil. Chemosphere 2006, 62, 602–607. [Google Scholar] [CrossRef] [PubMed]
  58. Zeng, F.; Ali, S.; Zhang, H.; Ouyang, Y.; Qiu, B.; Wu, F.; Zhang, G. The influence of pH and organic matter content in paddy soil on heavy metal availability and their uptake by rice plants. Environ. Pollut. 2011, 159, 84–91. [Google Scholar] [CrossRef] [PubMed]
  59. Anjum, S.A.; Tanveer, M.; Hussain, S.; Bao, M.; Wang, L.; Khan, I.; Ullah, E.; Tung, S.A.; Samad, R.A.; Shahzad, B. Cadmium toxicity in Maize (Zea mays L.): Consequences on antioxidative systems, reactive oxygen species and cadmium accumulation. Environ. Sci. Pollut. Res. 2015, 22, 17022–17030. [Google Scholar] [CrossRef] [PubMed]
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Figure 1. Location of Quang Ninh province in NE-Vietnam (A) and the municipalities of Quang Ninh, showing the location of the region of Cam Pha (B).
Figure 1. Location of Quang Ninh province in NE-Vietnam (A) and the municipalities of Quang Ninh, showing the location of the region of Cam Pha (B).
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Figure 2. Location of coal, soil and mine tailing sampling sites in the area of Cam Pha in the Quang Ninh province in NE Vietnam. S1, S2 and S4 refer to mine waste rock sampling locations, where samples were collected from each site. S3 refers to the location where coal samples retrieved from the Coc-Sau open pit coal mine. S5 refers to location of rice paddy soil samples, collected and analyzed as described previously in Martinez et al. [8].
Figure 2. Location of coal, soil and mine tailing sampling sites in the area of Cam Pha in the Quang Ninh province in NE Vietnam. S1, S2 and S4 refer to mine waste rock sampling locations, where samples were collected from each site. S3 refers to the location where coal samples retrieved from the Coc-Sau open pit coal mine. S5 refers to location of rice paddy soil samples, collected and analyzed as described previously in Martinez et al. [8].
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Figure 3. Root dry weight for the 3 experimental conditions, namely: Asia control and Nep cai Hoa vang native rice plant varieties exposed to increasing, (a) Cd, (b) Cu and (c) Pb, concentrations. A 0 µmol/L metal concentration represents the control growth condition. Control root dry weights represent 100% growth. Error bars = standard deviation. For each variety, there are no significant differences in rice plant growth between conditions when the same letter is shown For each conditions, significance between variety was defined and represented as follow: ***: p < 0.001, **: p < 0.01, NS = non-significant. The results of one-way ANOVA analyses were followed by post-hoc multiple comparison, Tukey HSD test. No results were obtained for plants growing on the 50 µmol/L Cu.
Figure 3. Root dry weight for the 3 experimental conditions, namely: Asia control and Nep cai Hoa vang native rice plant varieties exposed to increasing, (a) Cd, (b) Cu and (c) Pb, concentrations. A 0 µmol/L metal concentration represents the control growth condition. Control root dry weights represent 100% growth. Error bars = standard deviation. For each variety, there are no significant differences in rice plant growth between conditions when the same letter is shown For each conditions, significance between variety was defined and represented as follow: ***: p < 0.001, **: p < 0.01, NS = non-significant. The results of one-way ANOVA analyses were followed by post-hoc multiple comparison, Tukey HSD test. No results were obtained for plants growing on the 50 µmol/L Cu.
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Figure 4. Photograph illustrating the effects of increasing Pb concentrations (from 0 to 500 µmol/L in growth medium) on the growth of the Asia control rice plant variety. The roots biomass decreases with increasing metal concentration, however, an increase in root length is observed at the lowest Pb concentration of 50 µmol/L.
Figure 4. Photograph illustrating the effects of increasing Pb concentrations (from 0 to 500 µmol/L in growth medium) on the growth of the Asia control rice plant variety. The roots biomass decreases with increasing metal concentration, however, an increase in root length is observed at the lowest Pb concentration of 50 µmol/L.
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Table
Table 1. Analysis of NIST Standard Reference Material (SRM) 2710.
Table 1. Analysis of NIST Standard Reference Material (SRM) 2710.
Element* Certified Mass Fractions for SRM 2710 (mg/kg Dry Weight)AAS Analysis of SRM 2710 (Univ. Freiburg) (mg/kg Dry Weight)
Cd20.8 ± 0.220.6 ± 0.6
Cu2950 ± 1302759 ± 3
Pb5532 ± 805367 ± 11
* From the NIST certification, July 2003.
Table
Table 2. Partitioning of Cu and Pb in mine waste rock (S1, S2 and S4) and coal (S3) samples from the open pit coal-mining region of Cam Pha in NE-Vietnam. Samples collected from the locations indicated in Figure 2.
Table 2. Partitioning of Cu and Pb in mine waste rock (S1, S2 and S4) and coal (S3) samples from the open pit coal-mining region of Cam Pha in NE-Vietnam. Samples collected from the locations indicated in Figure 2.
Sample LocationFraction **Cu (mg/kg) +Pb (mg/kg) +
S1Exchangeable0.460.43
Bound to carbonates1.852.67
Bound to Mn and Fe oxides1.132.33
Bound to organic matter7.971.68
Residual ***2.372.40
Total13.779.51
S2Exchangeable0.981.43
Bound to carbonates3.114.25
Bound to Mn and Fe oxides2.463.36
Bound to organic matter5.981.44
Residual ***2.161.61
Total14.6912.09
S3Exchangeable00.12
(coal sample)Bound to carbonates0.770.86
Bound to Mn and Fe oxides01.082
Bound to organic matter8.641.29
Residual ***3.721.24
Total13.124.59
S4Exchangeable1.400.50
Bound to carbonates3.424.10
Bound to Mn and Fe oxides1.577.39
Bound to organic matter9.102.57
Residual ***5.796.58
Total21.2921.14
** The “Fraction” corresponds to the steps of the sequential extraction method used described in the material and methods section. *** The “Residual” fraction signifies the metal concentration in the crystalline structure of primary and secondary minerals not expected to be released in solution. + Error in metal concentration measured by AAS ranges between 2% and 4%.
Table
Table 3. Partitioning of Cd, Cu and Pb in rice paddy soil samples from the open pit coal-mining region of Cam Pha in NE-Vietnam. Samples collected from location (S5) as indicated in Figure 2.
Table 3. Partitioning of Cd, Cu and Pb in rice paddy soil samples from the open pit coal-mining region of Cam Pha in NE-Vietnam. Samples collected from location (S5) as indicated in Figure 2.
Sample LocationFraction **Cd (µg/kg)Cu (µg/kg)Pb (µg/kg)
S5Exchangeable3.6 ± 0.129 ± 24189 ± 46
Bound to carbonates3.9 ± 0.331 ± 25168 ± 67
Bound to Mn and Fe oxides5.9 ± 0.4nd *719 ± 64
Bound to organic matter0.7 ± 0.3nd *139 ± 31
Total14.2 ± 0.659.7 ± 35.61215 ± 108
* nd means metal concentration below AAS method detection limit (not detected). ** The “Fraction” corresponds to the steps of the sequential extraction method used described in the material and methods section. Note: metal concentrations were below detection limit for the residual fraction described previously.

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Marquez, J.E.; Pourret, O.; Faucon, M.-P.; Weber, S.; Hoàng, T.B.H.; Martinez, R.E. Effect of Cadmium, Copper and Lead on the Growth of Rice in the Coal Mining Region of Quang Ninh, Cam-Pha (Vietnam). Sustainability 2018, 10, 1758. https://doi.org/10.3390/su10061758

AMA Style

Marquez JE, Pourret O, Faucon M-P, Weber S, Hoàng TBH, Martinez RE. Effect of Cadmium, Copper and Lead on the Growth of Rice in the Coal Mining Region of Quang Ninh, Cam-Pha (Vietnam). Sustainability. 2018; 10(6):1758. https://doi.org/10.3390/su10061758

Chicago/Turabian Style

Marquez, J. Eduardo, Olivier Pourret, Michel-Pierre Faucon, Sebastian Weber, Thi Bích Hòa Hoàng, and Raul E. Martinez. 2018. "Effect of Cadmium, Copper and Lead on the Growth of Rice in the Coal Mining Region of Quang Ninh, Cam-Pha (Vietnam)" Sustainability 10, no. 6: 1758. https://doi.org/10.3390/su10061758

APA Style

Marquez, J. E., Pourret, O., Faucon, M.-P., Weber, S., Hoàng, T. B. H., & Martinez, R. E. (2018). Effect of Cadmium, Copper and Lead on the Growth of Rice in the Coal Mining Region of Quang Ninh, Cam-Pha (Vietnam). Sustainability, 10(6), 1758. https://doi.org/10.3390/su10061758

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