# Accumulation of Aluminium and Physiological Status of Tree Foliage in the Vicinity of a Large Aluminium Smelter

Authors: E. D. Wannaz; J. H. Rodriguez; T. Wolfsberger; H. A. Carreras; M. L. Pignata; A. Fangmeier; J. Franzaring
Journal: The Scientific World Journal
 (2012)

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## Abstract

A pollution gradient was observed in tree foliage sampled in the vicinity of a large aluminium production facility in Patagonia (Argentina). Leaves ofEucalyptus rostrata, and Populus hybridus and different needle ages of Pinus spec. were collected and concentrations of aluminium (Al) and sulphur (S) as well as physiological parameters (chlorophyll and lipid oxidation products) were analyzed. Al and S concentrations indicate a steep pollution gradient in the study showing a relationship with the physiological parameters in particular membrane lipid oxidation products. The present study confirms that aluminium smelting results in high Al and sulphur deposition in the study area, and therefore further studies should be carried out taking into account potentially adverse effects of these compounds on human and ecosystem health.


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## Body

## 1. Introduction

Air pollution has been reported to cause extensive damage to the vegetation in the vicinity of aluminium smelters [1–4]. Among the pollutants emitted into the atmosphere by this activity are fluoride compounds, aluminium, polycyclic aromatic hydrocarbons (PAH), polychlorinated dibenzo-p-dioxins, dibenzofurans, and traces of heavy metals [5–7]. Because plant foliage is effectively scavenging atmospheric pollutants, many studies have used different plant species as biomonitors of airborne pollutants in the vicinity of such facilities [1, 4, 7, 8]. Particulate matter (PM) containing the pollutants is deposited on the vegetation surrounding the industry and also enters the soil via rain as water-soluble components, as dust, and contaminated litter [7]. Biomonitoring employing foliage of vegetation is an effective tool for detecting potential health and environmental risks in the vicinity of pollutant emission sources, as has been demonstrated in biomonitoring networks studies [9].Due to the increasing industrialisation in many developing countries and emerging economies, aluminium industries have increased their production significantly. Aluminium is used extensively in food packaging, construction, and transportation, and associated industries [6]. The Al production comprises two stages, obtaining aluminium oxide by the Bayer process from bauxite and subsequent electrolysis of oxide to obtain elemental aluminium (electrolytic Hall-Héroult process). During this latter process, aluminium particles are emitted among other pollutants (HF, PAH) into the atmosphere. Once emitted into the atmosphere, metallic particles may be respired and deposited in the environment [10]. Several reports showed that aluminium is a very potent neurotoxicant and can disrupt parathyroid hormones [6]. Furthermore, it has been claimed that neurodegenerative diseases like Alzheimer and amyotrophic lateral sclerosis are associated with the Al content in the human brain [11–13]. However, there is little information available on the amount of aluminium particles emitted around Al smelters [3]. Therefore, emission control of pollutants associated with this industry should be made; however, in developing countries these controls are restricted to sporadic investigations and are often insufficient to identify and avoid harmful effects on the environment [14, 15].One of the largest aluminium production plants of South America is situated on the Atlantic coast of Chubut, Patagonia, Argentina. Some ecological implications of the industrial activity in this area had been described in the early 1980s, when the production capacity was about 140 Kt year−1 [16–19]. Although the plant actually has expanded its activities with a yearly production of about 410 Kt [20] contributing approximately 1% of the world production of Al [21], environmental monitoring studies are still scarce. In a recent work we reported high F deposition in biomonitoring performed in the vicinity of the described smelter in Patagonia [22]. Therefore, the objective of this study was to evaluate the environmental impact of the Al smelter on the physiological status and aluminium concentrations in plant foliage growing in the vicinity of the described smelter in Patagonia. Since this area is characterized mainly by tourist activities, the quality of the environment may have implications on human and environmental health.


## 2. Materials and Methods

### 2.1. Study Area and Sampling

The study was performed in the city of Puerto Madryn in the Chubut province (Argentina) in the vicinity of an aluminium production plant. The city is located on the west coast of the Golfo Nuevo and has a population size of about 57,000 inhabitants [23]. However, this number doubles during the summer holidays because the place is one of the most important resorts in Patagonia and the country. The continental climate is characterized by semiarid conditions, with a mean annual precipitation of 238 mm year−1 and an average annual temperature of about 13.6°C [24]. The topography of the area is nearly flat, and strong south-westerly winds from the continent to the sea dominate throughout most of the year. Leaves of Eucalyptus rostrata and Populus hybridus and needles of Pinus spec. were collected at forty sampling points in the vicinity of the aluminium factory in the third week of February 2010. Samples consisted of 150–200 leaves or needles and were randomly collected in each sampling site from a single tree according to the standardised method after VDI [25]. During the sampling no precipitation occurred, the precipitation sum from 1st of January 2010 until the date of collection amounted to 24.6 mm and the mean temperature during this time interval was 20.5°C [24]. Leaf area of the samples was determined on an aliquot of 50 leaves using a scanner HP (Scanjet 2200c, Hewlett-Packard, USA) and the software Image J version 1.42q including a ruler in the scanning field as reference.


### 2.2. Physiological Determinations

The procedure followed for the quantification of chlorophyll a (Chl-a), chlorophyll b (Chl-b), phaeophytin a (Phe-a), phaeophytin b (Phe-b), hydroperoxy-conjugated dienes (HPCD), and malondialdehyde (MDA) in leaves ofEucalyptus rostrata and Populus hybridus and Pinus spec. needles consisted of measurements performed in the manner previously described by Carreras et al. [26] and Wannaz and Pignata [27]. Air-dried and milled material was used.Three subsamples were produced from each sample per sampling point. All concentrations were expressed on a dry weight basis (g−1 DW).


### 2.3. Sulphur Concentrations

Five mL of Mg (NO3)2 saturated aqueous solution was added to 0.3 g plant material and dried in an electric heater. Subsequently, the sample was heated in an oven for 30 min at 500°C. The ashes were then suspended in 6 M HCl and filtered, and the resulting solution was boiled for 3 minutes. Finally the solution was brought to 50 mL with distilled water. The amount of SO4-2 in the solution was determined by the acidic suspension method with BaCl2 which subsequently allowed calculating the sulphur content of each sample [28]. Results were expressed in mg g−1 DW.


### 2.4. Aluminium Content in Different Tree Foliage

The concentrations of Al were analyzed in leaves ofEucalyptus rostrata and Populus hybridus and Pinus spec. needles. The plant material (1 g DW) was ground and ashed at 500°C for 4 hours. The ashes were digested with 3.6 mL concentrated HNO3, the solid residue was separated by centrifugation, and the volume was adjusted to 25 mL with Milli-Q water. Thereafter the concentration of total Al was determined by graphite furnace atomic absorption spectrometry (THGA Graphite Furnace, Perkin Elmer).As a quality control, blanks and samples of the standard reference material “CTA-OTL-1” (oriental tobacco leaves, Institute of Nuclear Chemistry and Technology) were prepared in the same way and were run after ten determinations to calibrate the instrument and monitor potential sample contamination during analysis. The results were found to be within 92% and 86%, respectively, of the certified value, with the data indicating a low error of typically less than 15%. The coefficient of variation of replicate analyses was calculated for different determinations. Variations were found to be less than 10%.


### 2.5. Statistical Analysis

Results are expressed as the mean value ± standard deviation (SD) of three determinations for each of the sampling sites. Physiological parameters, aluminium, sulphur, and F concentrations, this last parameter described in Rodriguez et al. [22], were submitted to Pearson’s coefficient of correlation in order to study the relationship among the Al and sulphur contents, Al and fluoride content, and physiological variables measured in the foliage of tree species.Regression analysis was calculated in order to determine relationships between the accumulation of Al, sulphur, and the emission source distance.


## 2.1. Study Area and Sampling

The study was performed in the city of Puerto Madryn in the Chubut province (Argentina) in the vicinity of an aluminium production plant. The city is located on the west coast of the Golfo Nuevo and has a population size of about 57,000 inhabitants [23]. However, this number doubles during the summer holidays because the place is one of the most important resorts in Patagonia and the country. The continental climate is characterized by semiarid conditions, with a mean annual precipitation of 238 mm year−1 and an average annual temperature of about 13.6°C [24]. The topography of the area is nearly flat, and strong south-westerly winds from the continent to the sea dominate throughout most of the year. Leaves of Eucalyptus rostrata and Populus hybridus and needles of Pinus spec. were collected at forty sampling points in the vicinity of the aluminium factory in the third week of February 2010. Samples consisted of 150–200 leaves or needles and were randomly collected in each sampling site from a single tree according to the standardised method after VDI [25]. During the sampling no precipitation occurred, the precipitation sum from 1st of January 2010 until the date of collection amounted to 24.6 mm and the mean temperature during this time interval was 20.5°C [24]. Leaf area of the samples was determined on an aliquot of 50 leaves using a scanner HP (Scanjet 2200c, Hewlett-Packard, USA) and the software Image J version 1.42q including a ruler in the scanning field as reference.


## 2.2. Physiological Determinations

The procedure followed for the quantification of chlorophyll a (Chl-a), chlorophyll b (Chl-b), phaeophytin a (Phe-a), phaeophytin b (Phe-b), hydroperoxy-conjugated dienes (HPCD), and malondialdehyde (MDA) in leaves ofEucalyptus rostrata and Populus hybridus and Pinus spec. needles consisted of measurements performed in the manner previously described by Carreras et al. [26] and Wannaz and Pignata [27]. Air-dried and milled material was used.Three subsamples were produced from each sample per sampling point. All concentrations were expressed on a dry weight basis (g−1 DW).


## 2.3. Sulphur Concentrations

Five mL of Mg (NO3)2 saturated aqueous solution was added to 0.3 g plant material and dried in an electric heater. Subsequently, the sample was heated in an oven for 30 min at 500°C. The ashes were then suspended in 6 M HCl and filtered, and the resulting solution was boiled for 3 minutes. Finally the solution was brought to 50 mL with distilled water. The amount of SO4-2 in the solution was determined by the acidic suspension method with BaCl2 which subsequently allowed calculating the sulphur content of each sample [28]. Results were expressed in mg g−1 DW.


## 2.4. Aluminium Content in Different Tree Foliage

The concentrations of Al were analyzed in leaves ofEucalyptus rostrata and Populus hybridus and Pinus spec. needles. The plant material (1 g DW) was ground and ashed at 500°C for 4 hours. The ashes were digested with 3.6 mL concentrated HNO3, the solid residue was separated by centrifugation, and the volume was adjusted to 25 mL with Milli-Q water. Thereafter the concentration of total Al was determined by graphite furnace atomic absorption spectrometry (THGA Graphite Furnace, Perkin Elmer).As a quality control, blanks and samples of the standard reference material “CTA-OTL-1” (oriental tobacco leaves, Institute of Nuclear Chemistry and Technology) were prepared in the same way and were run after ten determinations to calibrate the instrument and monitor potential sample contamination during analysis. The results were found to be within 92% and 86%, respectively, of the certified value, with the data indicating a low error of typically less than 15%. The coefficient of variation of replicate analyses was calculated for different determinations. Variations were found to be less than 10%.


## 2.5. Statistical Analysis

Results are expressed as the mean value ± standard deviation (SD) of three determinations for each of the sampling sites. Physiological parameters, aluminium, sulphur, and F concentrations, this last parameter described in Rodriguez et al. [22], were submitted to Pearson’s coefficient of correlation in order to study the relationship among the Al and sulphur contents, Al and fluoride content, and physiological variables measured in the foliage of tree species.Regression analysis was calculated in order to determine relationships between the accumulation of Al, sulphur, and the emission source distance.


## 3. Results and Discussion

### 3.1. Aluminium and Sulphur Concentrations

The Al concentrations ranged between 89.49 and 1354μg g−1 DW in the deciduous tree species, while they varied between 284.2 and 1442 μg g−1 DW in the conifers (Table 1; Figure 1). Among the deciduous species, E. rostrata showed the highest accumulation of Al per leaf area (an average of 11.43 μg cm−2) in comparison with P. hybridus (average of 0.718 μg cm−2). Area of Pinus needles could not be determined so that these area-related concentrations are missing for the conifer. However, the comparison between the Al concentrations in Pinus spec. needles from different ages showed higher values in the older needles than in the current year needles, reflecting a greater accumulation of aluminium with a longer exposure time (Table 1). Pearson’s correlation coefficients for the relationship between Al and F concentrations were r=0.4 (P=0.106) for E. rostrata, r=0.01 (P=0.975) for P. hybridus, r=0.582 (P=0.047) for needles of P. spec. from the year 2009, and r=0.292 (P=0.225) for pine needles stemming from the year 2010. Although the accumulation of Al in plants is dependent on the species, these concentrations are similar compared to results of other studies employing different species in highly contaminated areas; for example, in Spain some authors have reported Al concentrations between 852 and 4593 ppm in plants of the genus Eucalyptus and between 127 and 1732 for the genus Pinus [29, 30]; for Populus Laureysens et al. [31] found concentrations between 100 and 250 ppm in plants growing in Belgium.Table 1
Mean, standard deviation, minimum, and maximum values of aluminium, sulphur, chlorophyll a+b concentration, Chl-b/Chl-a, Ph-a/Chl-a, HPCD, and MDA measured in foliage of different tree species in Puerto Madryn, Argentina.
SpeciesDescriptive statisticsAluminium (μg g−1 DW)Sulphur (mg g−1 DW)Chl-a+b (mg g−1 DW)Chl-b/Chl-aPhe-a/Chl-aHPCD (μmol g−1 DW)MDA (nmol g−1 DW)P. hybridusN=13Mean220.23.7062.190.331.4451.8290SD84.482.7170.880.090.1728.495.2Min89.491.2900.890.131.0420.5141Max467.09.3434.650.481.76124468E. rostrataN=17Mean772.61.5082.070.421.35109224SD239.60.3800.760.270.2133.289.1Min181.31.1530.730.041.0555.9120Max1354.32.7884.341.521.95186446Pinusspec. (2008/2009) N=13Mean10251.8871.430.462.09147256SD208.10.5140.500.130.5952.397.7Min704.41.2410.760.311.4157.9163Max13783.0462.880.753.29244547Pinusspec. (2009/2010) N=19Mean638.31.5551.310.441.47141279SD271.90.3560.650.130.2452.160.8Min284.20.9850.530.230.8227.6174Max14422.4502.900.702.03285449Aluminium concentration (μg g−1 DW) in the study area determined in leaves of E. rostrata (a) and P. hybridus (b) and needles of Pinus spec. 2008/2009 (c) and 2009/2010 (d).
(a)(b)(c)(d)However, it should be noted that there are some species, mainly conifers, that tend to acidify soils and therefore are associated with degradation processes releasing Al ions from the bedrock [29, 32–34]. Therefore, the presence of acidifying species in Al-polluted soil may generate a potential risk situation not only for these plant species but also for other species growing in the area. On the other hand, numerous studies report on the negative effect of high levels of soluble Al on plant growth [29, 35, 36]. Furthermore, high concentrations of Al in the food and drinking water generate a potentially hazardous situation for the human health considering that it has recently been established that Alzheimer’s disease is associated with the Al content in the human brain [11]. In addition, the Al concentrations obtained in this study indicate a pollution gradient between the distance to the aluminium smelting and Al concentrations in the leaves of E. rostrata and needles of Pinus spec. from the last years (Figure 2).Figure 2
Aluminium pollution gradient in the study area expressed as Al concentration inPinus spec. one-year-old needles (dashed lines) and E. rostrata (full lines) in relation to the distance from the emission source.Sulphur concentrations were found to range between 1.153 and 9.343 mg g−1 DW in the deciduous tree species and between 0.985 and 3.046 in the conifers (Table 1; Figure 3). Although all species studied indicate high sulphur accumulation, leaves of P. hybridus showed the greatest accumulation in relation to other species, which could be related to specific leaf morphological characteristics. A study of foliar sulphur concentrations in four tree species of Ficus nearby to urban and industrial sources in China showed values from 3.3 × 103 to 5.3 × 103 mg kg−1 DW [37]. Therefore, the concentrations found in this study are among those found in industrial zones. In addition, the S concentrations in E. rostrata(R2=0.21) and Pinus spec. (2008-2009; (R2=0.25)) showed only a very slight inverse relationship to the distance to the industry. It can thus be followed that sulphur concentrations are also affected by the emissions from vehicular traffic and other anthropogenic sources.Sulphur concentration (mg g−1) in the study area determined in leaves of E. rostrata (a) and P. hybridus (b) and needles of Pinus spec. 2008/2009 (c) and 2009/2010 (d).
(a)(b)(c)(d)


### 3.2. Physiological Parameters

Table1 shows the mean, standard deviation, minimum, and maximum values of the physiological parameters measured in poplar, Eucalyptus, and pine. Total chlorophyll contents were similar between deciduous tree species and were greater than those in conifers. Chlorophyll degradation parameters measured (Chl-b/Chl-a and Phe-a/Chl-a) showed the highest mean values in the needles of Pinus spec. for the previous year. Regarding membrane lipid oxidation products (HPCD and MDA), the species P. hybridus and Pinus spec. (2008-2009) showed higher mean values, results that are consistent with the highest mean aluminium and sulphur values. These findings indicate a relationship between emissions of these compounds and membrane lipid oxidation products in foliage.Significant results were found for correlations between aluminium, sulphur, and physiological parameters in the foliage of the tree species analyzed. InE. rostrata a positive correlation was found between concentrations of aluminium and sulphur (r=0.38), MDA, Phe-a/Chl-a, and HPCD (r=0.40; r=0.68). In Pinus needles from the previous year a positive correlation was found between Al and MDA and with total chlorophyll (r=0.39; r=0.37), HPCD and MDA (r=0.44). Finally, Pinus needles from the current year showed a negative correlation between MDA and total chlorophylls and Phe-a/Chl-a (r=-0.41; r=-0.48) and a positive correlation between MDA and HPCD (r=0.68).


## 3.1. Aluminium and Sulphur Concentrations

The Al concentrations ranged between 89.49 and 1354μg g−1 DW in the deciduous tree species, while they varied between 284.2 and 1442 μg g−1 DW in the conifers (Table 1; Figure 1). Among the deciduous species, E. rostrata showed the highest accumulation of Al per leaf area (an average of 11.43 μg cm−2) in comparison with P. hybridus (average of 0.718 μg cm−2). Area of Pinus needles could not be determined so that these area-related concentrations are missing for the conifer. However, the comparison between the Al concentrations in Pinus spec. needles from different ages showed higher values in the older needles than in the current year needles, reflecting a greater accumulation of aluminium with a longer exposure time (Table 1). Pearson’s correlation coefficients for the relationship between Al and F concentrations were r=0.4 (P=0.106) for E. rostrata, r=0.01 (P=0.975) for P. hybridus, r=0.582 (P=0.047) for needles of P. spec. from the year 2009, and r=0.292 (P=0.225) for pine needles stemming from the year 2010. Although the accumulation of Al in plants is dependent on the species, these concentrations are similar compared to results of other studies employing different species in highly contaminated areas; for example, in Spain some authors have reported Al concentrations between 852 and 4593 ppm in plants of the genus Eucalyptus and between 127 and 1732 for the genus Pinus [29, 30]; for Populus Laureysens et al. [31] found concentrations between 100 and 250 ppm in plants growing in Belgium.Table 1
Mean, standard deviation, minimum, and maximum values of aluminium, sulphur, chlorophyll a+b concentration, Chl-b/Chl-a, Ph-a/Chl-a, HPCD, and MDA measured in foliage of different tree species in Puerto Madryn, Argentina.
SpeciesDescriptive statisticsAluminium (μg g−1 DW)Sulphur (mg g−1 DW)Chl-a+b (mg g−1 DW)Chl-b/Chl-aPhe-a/Chl-aHPCD (μmol g−1 DW)MDA (nmol g−1 DW)P. hybridusN=13Mean220.23.7062.190.331.4451.8290SD84.482.7170.880.090.1728.495.2Min89.491.2900.890.131.0420.5141Max467.09.3434.650.481.76124468E. rostrataN=17Mean772.61.5082.070.421.35109224SD239.60.3800.760.270.2133.289.1Min181.31.1530.730.041.0555.9120Max1354.32.7884.341.521.95186446Pinusspec. (2008/2009) N=13Mean10251.8871.430.462.09147256SD208.10.5140.500.130.5952.397.7Min704.41.2410.760.311.4157.9163Max13783.0462.880.753.29244547Pinusspec. (2009/2010) N=19Mean638.31.5551.310.441.47141279SD271.90.3560.650.130.2452.160.8Min284.20.9850.530.230.8227.6174Max14422.4502.900.702.03285449Aluminium concentration (μg g−1 DW) in the study area determined in leaves of E. rostrata (a) and P. hybridus (b) and needles of Pinus spec. 2008/2009 (c) and 2009/2010 (d).
(a)(b)(c)(d)However, it should be noted that there are some species, mainly conifers, that tend to acidify soils and therefore are associated with degradation processes releasing Al ions from the bedrock [29, 32–34]. Therefore, the presence of acidifying species in Al-polluted soil may generate a potential risk situation not only for these plant species but also for other species growing in the area. On the other hand, numerous studies report on the negative effect of high levels of soluble Al on plant growth [29, 35, 36]. Furthermore, high concentrations of Al in the food and drinking water generate a potentially hazardous situation for the human health considering that it has recently been established that Alzheimer’s disease is associated with the Al content in the human brain [11]. In addition, the Al concentrations obtained in this study indicate a pollution gradient between the distance to the aluminium smelting and Al concentrations in the leaves of E. rostrata and needles of Pinus spec. from the last years (Figure 2).Figure 2
Aluminium pollution gradient in the study area expressed as Al concentration inPinus spec. one-year-old needles (dashed lines) and E. rostrata (full lines) in relation to the distance from the emission source.Sulphur concentrations were found to range between 1.153 and 9.343 mg g−1 DW in the deciduous tree species and between 0.985 and 3.046 in the conifers (Table 1; Figure 3). Although all species studied indicate high sulphur accumulation, leaves of P. hybridus showed the greatest accumulation in relation to other species, which could be related to specific leaf morphological characteristics. A study of foliar sulphur concentrations in four tree species of Ficus nearby to urban and industrial sources in China showed values from 3.3 × 103 to 5.3 × 103 mg kg−1 DW [37]. Therefore, the concentrations found in this study are among those found in industrial zones. In addition, the S concentrations in E. rostrata(R2=0.21) and Pinus spec. (2008-2009; (R2=0.25)) showed only a very slight inverse relationship to the distance to the industry. It can thus be followed that sulphur concentrations are also affected by the emissions from vehicular traffic and other anthropogenic sources.Sulphur concentration (mg g−1) in the study area determined in leaves of E. rostrata (a) and P. hybridus (b) and needles of Pinus spec. 2008/2009 (c) and 2009/2010 (d).
(a)(b)(c)(d)


## 3.2. Physiological Parameters

Table1 shows the mean, standard deviation, minimum, and maximum values of the physiological parameters measured in poplar, Eucalyptus, and pine. Total chlorophyll contents were similar between deciduous tree species and were greater than those in conifers. Chlorophyll degradation parameters measured (Chl-b/Chl-a and Phe-a/Chl-a) showed the highest mean values in the needles of Pinus spec. for the previous year. Regarding membrane lipid oxidation products (HPCD and MDA), the species P. hybridus and Pinus spec. (2008-2009) showed higher mean values, results that are consistent with the highest mean aluminium and sulphur values. These findings indicate a relationship between emissions of these compounds and membrane lipid oxidation products in foliage.Significant results were found for correlations between aluminium, sulphur, and physiological parameters in the foliage of the tree species analyzed. InE. rostrata a positive correlation was found between concentrations of aluminium and sulphur (r=0.38), MDA, Phe-a/Chl-a, and HPCD (r=0.40; r=0.68). In Pinus needles from the previous year a positive correlation was found between Al and MDA and with total chlorophyll (r=0.39; r=0.37), HPCD and MDA (r=0.44). Finally, Pinus needles from the current year showed a negative correlation between MDA and total chlorophylls and Phe-a/Chl-a (r=-0.41; r=-0.48) and a positive correlation between MDA and HPCD (r=0.68).


## 4. Conclusion

The analysis of Al and sulphur concentrations in leaves and needles confirmed a significant pollution gradient with the highest values in samples collected in the vicinity of the emission source. The speciesE. rostrata and Pinus spec. (2008-2009) showed a steep pollution gradient for Al and a slight gradient for sulphur. However, the pollution gradient for fluoride was steeper, indicating that the latter may be deposited as a gas, while Al is associated to particle deposition. Regarding the impact of the aluminium smelter, the results of this study show that it is severe in an area close to the source, and considering the possibility of contaminated soil acidification especially by aluminium, further studies in relation to the environmental and human health should be carried out.



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*Source: 865927-2012-05-02.xml*