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Keywords = bioaccumulation factor (BAF)

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19 pages, 1848 KiB  
Article
Ecological and Health Risk Assessment of Metals in Organic and Conventional Peruvian Coffee from a Probabilistic Approach
by Grobert A. Guadalupe, Ligia García, Segundo G. Chavez and Eva Doménech
Agronomy 2024, 14(12), 2817; https://doi.org/10.3390/agronomy14122817 - 27 Nov 2024
Viewed by 332
Abstract
This study aims to understand the risks posed by metals in Peruvian coffee plantations to human health and environmental integrity, ensuring the protection of local communities and the ecosystems reliant on this agricultural activity. To assess the contamination levels, arsenic (As), cadmium (Cd), [...] Read more.
This study aims to understand the risks posed by metals in Peruvian coffee plantations to human health and environmental integrity, ensuring the protection of local communities and the ecosystems reliant on this agricultural activity. To assess the contamination levels, arsenic (As), cadmium (Cd), chromium (Cr), nickel (Ni), and lead (Pb) were surveyed in the soil, roots, and parchment coffee beans cultivated in Amazonas and San Martin regions, using both conventional and organic cultivation. Results showed that As was the metal with the highest concentration in soil (52.37 ± 21.16 mg/kg), roots (11.27 ± 2.3 mg/kg), and coffee beans (10.19 ± 1.69 mg/kg), followed by Cr in soil (22.36 ± 11.47 mg/kg) and roots (8.17 ± 3.85 mg/kg) and Pb in beans (0.7 ± 0.05 mg/kg). Cd was only detected in soil (1.70 ± 1.73 mg/kg). The bioaccumulation (BAF) findings suggest that roots and coffee beans have a low capacity to accumulate As, Cd, Ni, and Pb, but they have the potential capacity to accumulate Cr. The translocation factor (TF) indicated that all values were less than one, except for As from San Martin in conventional and organic cultivation. The geo-accumulation index (Igeo) showed that the soil was unpolluted for Cr, Ni, and Pb but was polluted to different extents for As and Cd. Similarly, the ecological risk (ER) pointed to a low risk for Cr, Ni, and Pb and values from low to considered risk for As and Cd depending on the region and cultivation system. Hazard index (adults: 1.68 × 10−3, children: 9.26 × 10−3) and cancer risk (adults: 1.84 × 10−7, children: 2.51 × 10−7) indicated a low risk for humans via ingestion, dermal contact, and inhalation. Full article
(This article belongs to the Section Agricultural Biosystem and Biological Engineering)
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<p>Mean (<span class="html-fig-inline" id="agronomy-14-02817-i001"><img alt="Agronomy 14 02817 i001" src="/agronomy/agronomy-14-02817/article_deploy/html/images/agronomy-14-02817-i001.png"/></span>), 5th (<span class="html-fig-inline" id="agronomy-14-02817-i002"><img alt="Agronomy 14 02817 i002" src="/agronomy/agronomy-14-02817/article_deploy/html/images/agronomy-14-02817-i002.png"/></span>), and 95th (<span class="html-fig-inline" id="agronomy-14-02817-i003"><img alt="Agronomy 14 02817 i003" src="/agronomy/agronomy-14-02817/article_deploy/html/images/agronomy-14-02817-i003.png"/></span>) percentile values of the bioaccumulation factor (BAF) in roots and parchment coffee beans per region and production system.</p>
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<p>Mean (<span class="html-fig-inline" id="agronomy-14-02817-i001"><img alt="Agronomy 14 02817 i001" src="/agronomy/agronomy-14-02817/article_deploy/html/images/agronomy-14-02817-i001.png"/></span>), 5th (<span class="html-fig-inline" id="agronomy-14-02817-i002"><img alt="Agronomy 14 02817 i002" src="/agronomy/agronomy-14-02817/article_deploy/html/images/agronomy-14-02817-i002.png"/></span>), and 95th (<span class="html-fig-inline" id="agronomy-14-02817-i003"><img alt="Agronomy 14 02817 i003" src="/agronomy/agronomy-14-02817/article_deploy/html/images/agronomy-14-02817-i003.png"/></span>) percentile values of the geo-accumulation index (Igeo) per region and production system.</p>
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<p>Mean (<span class="html-fig-inline" id="agronomy-14-02817-i001"><img alt="Agronomy 14 02817 i001" src="/agronomy/agronomy-14-02817/article_deploy/html/images/agronomy-14-02817-i001.png"/></span>), 5th (<span class="html-fig-inline" id="agronomy-14-02817-i002"><img alt="Agronomy 14 02817 i002" src="/agronomy/agronomy-14-02817/article_deploy/html/images/agronomy-14-02817-i002.png"/></span>), and 95th (<span class="html-fig-inline" id="agronomy-14-02817-i003"><img alt="Agronomy 14 02817 i003" src="/agronomy/agronomy-14-02817/article_deploy/html/images/agronomy-14-02817-i003.png"/></span>) percentile values of the ecological risk (ER) per region and production system.</p>
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<p>Mean, 5th, and 95th percentile values of hazard index (HI = ƩHQ<span class="html-italic"><sub>ing,inh,derm</sub></span>) per region and production system.</p>
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<p>Mean, 5th, and 95th percentile values of cancer risk total (CRt = Ʃ CRing,inh,derm) per region and production system.</p>
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17 pages, 3074 KiB  
Article
Railway Infrastructure as a Substitute Habitat for Valuable Medicinal Plant Species Using the Example of Bearberry Arctostaphylos uva-ursi
by Barbara Bacler-Żbikowska, Agnieszka Hutniczak, Wojciech Bierza, Jawdat Bakr, Agnieszka Błońska, Anna Piekarska-Stachowiak, Paweł Olszewski, Anna Pieprzyca, Piotr Kucharski, Adam Stebel and Gabriela Woźniak
Agronomy 2024, 14(11), 2739; https://doi.org/10.3390/agronomy14112739 - 20 Nov 2024
Viewed by 317
Abstract
The secondary, substitute habitats are becoming more important for the survival of many valuable plant species, including medicinal plants—for example, bearberry Arctostaphylos uva-ursi. The aim of the conducted research is to compare the ability of A. uva-ursi to accumulate heavy metals in [...] Read more.
The secondary, substitute habitats are becoming more important for the survival of many valuable plant species, including medicinal plants—for example, bearberry Arctostaphylos uva-ursi. The aim of the conducted research is to compare the ability of A. uva-ursi to accumulate heavy metals in leaves from railways (anthropogenic substitute habitat) and the natural habitats (pine forests). We measured the concentration of five heavy metals (Cd, Hg, Ni, Pb, and Zn) in plant material and in the soil. The bioaccumulation factor was also calculated. Moreover, we measured biotic factors including A. uva-ursi height and abundance, along with the plant diversity indices, in the investigated plots. The presented results reveal that (1) none of the parameters concerning the content of the selected heavy metals described in the currently applicable legal acts were exceeded, (2) A. uva-ursi does not show the potential for heavy metal accumulation, except for zinc and partially mercury, (3) its individuals in the natural habitats are lower, (4) the abundance (percentage cover) of A. uva-ursi is the lowest in the natural habitat, and (5) the value of the Shannon–Wiener diversity index is the highest in the vegetation patches with A. uva-ursi developed in natural habitats. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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<p>The growth form of <span class="html-italic">Arctostaphylos uva-ursi</span> in Bógdał (Photo: Barbara Bacler-Żbikowska).</p>
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<p>The studied habitats: the railway substitute and natural habitats of the <span class="html-italic">A. uva-ursi</span> population (Photo: Agnieszka Hutniczak). Explanations: B-ant = Bógdał (anthropogenic substitute habitat), MY-ant = Myszków (anthropogenic substitute habitat), W-ant = Włoszczowa (anthropogenic substitute habitat), and MA-nat = Małogoszcz (natural habitat).</p>
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<p>The comparison of investigated heavy metals in <span class="html-italic">A.uva-ursi</span> leaves: (<b>A</b>)—mercury, (<b>B</b>)—cadmium, (<b>C</b>)—nickel, (<b>D</b>)—lead, (<b>E</b>)—zinc by ANOVA followed by a post hoc Tukey test. The same letters indicate no statistical differences, <span class="html-italic">p</span> &lt; 0.05. Range bars present the standard error.</p>
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<p>The comparison of the height of the <span class="html-italic">A. uva-ursi</span> population in the studied vegetation patches followed by the post hoc Dunn–Bonferroni test. The same letters indicate no statistical differences, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The comparison of the abundance (percentage cover) of the <span class="html-italic">A. uva-ursi</span> population in the studied vegetation patches followed by the post hoc Dunn–Bonferroni test. The same letters indicate no statistical differences, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The comparison of the diversity indices in vegetation patches in which the studied <span class="html-italic">A. uva-ursi</span> population occurs. The same letters indicate no statistical differences.</p>
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14 pages, 3387 KiB  
Article
Occurrence, Bioaccumulation, and Potential Risks of Steroid Hormones in Freshwater Aquaculture Ponds in South China
by Shuang-Shuang Liu, Ya-Fang Li, Jia-Jia Ning, Lei Xu, Liang-Gen Wang, De-Lian Huang, Xue-Hui Wang, Que-Hui Tang and Fei-Yan Du
Water 2024, 16(20), 2872; https://doi.org/10.3390/w16202872 - 10 Oct 2024
Viewed by 558
Abstract
Steroid hormones, recognized as emerging environmental contaminants, have garnered increasing attention in recent years. The present work studied the distribution characteristics in the environment, bioaccumulation in aquatic products, and the associated environmental and health risks of typical steroid hormones from commercial freshwater aquaculture [...] Read more.
Steroid hormones, recognized as emerging environmental contaminants, have garnered increasing attention in recent years. The present work studied the distribution characteristics in the environment, bioaccumulation in aquatic products, and the associated environmental and health risks of typical steroid hormones from commercial freshwater aquaculture farms operating under different aquaculture modes (monoculture and polyculture). Totals of 9 and 14 steroid hormones were detected in water and sediment samples, with concentrations ranging from 0.66 ± 0.17 ng/L to 40.5 ± 5.08 ng/L and from 0.36 ± 0.08 ng/g to 123 ± 19.9 ng/g, respectively. Hazard index (HI) calculations indicated that all sampling locations were identified as medium or high risk for both water and sediment matrices. Nineteen steroids were detected in at least one type of tissue, with the concentrations in the bile, plasma, muscle, liver, and gill ranging from <LOQ to 52.6 ± 4.82 ng/L, from <LOQ to 41.9 ± 4.80 ng/L, from 0.36 ± 0.07 ng/g to 321 ± 19.1 ng/g, from <LOQ to 1140 ± 107 ng/g, and from 0.36 ± 0.03 ng/g to 1450 ± 239 ng/g, respectively. Furthermore, four synthetic steroid hormones exhibited significant bioaccumulation across various tissues, such as MLA in bile and 5α-DHP in muscle, liver, and gill (BAF > 5000 L/kg). Notably, despite low estimated daily intakes (EDIs) (0.43–6.43 ng/day/person to 18.7 ng/day/person) and hazard quotients (HQs) (below 4.188 × 10−7), the high bioaccumulation factors (BAFs) underscore the necessity for stringent regulatory measures by local governments. Additionally, a comparison of EDI results across different aquaculture modes and fish species revealed that steroid hormone-related health risks to humans are influenced by both the fish species and the aquaculture mode. This study indicated that the consumption of poly-cultured fish (e.g., bighead carp) may pose a greater steroid-related health risk, compared to the consumption of mono-cultured fish. Full article
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<p>Schematic diagram of sampling sites.</p>
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<p>Concentrations of detected steroid hormones from the river and targeted freshwater aquaculture ponds: (<b>a</b>) Concentrations of detected steroid hormones in water samples (ng/L). (<b>b</b>) Concentrations of detected steroid hormones in sediments (ng/g). Abbreviations: ADD, androsta-1,4-diene-3,17-dione; 17β-BOL, 17β-boldenone; AED, 4-androstene-3,17-dione; 19-NT, 19-nortestosterone; 19-NTD, 19-norethindrone; NTD, norethynodrel; 17α-BOL, 17α-boldenone; T, testosterone; ADR, androsterone; MGT, megestrol; MPA, medroxyprogesterone acetate; MLA, melengestrol acetate; PGT, progesterone; 5α-DHP, 5α-dihydroprogesterone; ∑ steroids, the sum of all detected steroid hormones.</p>
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<p>Concentrations of detected steroid hormones in various fish tissues: (<b>a</b>) Steroid hormone concentrations in bile samples (ng/L). (<b>b</b>) Steroid hormone concentrations in plasma samples (ng/L). (<b>c</b>) Steroid hormone concentrations in liver samples (ng/g). (<b>d</b>) Steroid hormone concentrations in muscle samples (ng/g). (<b>e</b>) Steroid hormone concentrations in gill samples (ng/g). (<b>f</b>) Aggregate concentrations of all detected steroid hormones across different fish tissues (ng/L or ng/g). Abbreviations: ADD, androsta-1,4-diene-3,17-dione; 17β-BOL, 17β-boldenone; AED, 4-androstene-3,17-dione; 19-NT, 19-nortestosterone; 19-NTD, 19-norethindrone; NTD, norethynodrel; 17α-BOL, 17α-boldenone; DPN, drospirenone; T, testosterone; HP, hydroxy progesterone; ADR, androsterone; MGT, megestrol; 17α-DHP, 17α-hydroxyprogesterone acetate; MT, methyl testosterone; MP, medroxy progesterone; MPA, medroxyprogesterone acetate; MLA, melengestrol acetate; PGT, progesterone; 5α-DHP, 5α-dihydroprogesterone; ∑ steroids, the sum of all detected steroid hormones.</p>
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<p>Bioaccumulation factors (BAFs) of synthetic steroid hormones in various fish tissues. BAF thresholds of 1000 and 5000 L/kg were employed to evaluate bioaccumulation potential, where values exceeding 5000 L/kg indicated bioaccumulation and those ranging from 1000 to 5000 L/kg suggested potential bioaccumulation. Abbreviations: 17β-BOL, 17β-boldenone; MPA, medroxyprogesterone acetate; MLA, melengestrol acetate; 5α-DHP, 5α-dihydroprogesterone.</p>
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<p>Risk quotients of detected steroid hormones: (<b>a</b>) Risk quotients of detected steroids in water samples. (<b>b</b>) Risk quotients of detected steroids in sediments. Abbreviations: ADD, androsta-1,4-diene-3,17-dione; 17β-BOL, 17β-boldenone; AED, 4-androstene-3,17-dione; NTD, norethynodrel; T, testosterone; MGT, megestrol; MPA, medroxyprogesterone acetate; MLA, melengestrol acetate; PGT, progesterone; HI, hazard index.</p>
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<p>Estimated daily intakes (EDIs, ng/d) of steroid hormones via fish consumption: (<b>A</b>) EDIs of individual detected steroid hormones in aquatic products across different age and sex groups, calculated based on the maximum concentration of each steroid hormone in fish muscle. (<b>B</b>) EDIs of the total detected steroid hormones from various fish species across different age and sex groups. Age and sex categories: 2–5 M and 2–5 F, children (2–5 years, male and female); 6–18 M and 6–18 F, adolescents (6–18 years, male and female); &gt;18 M and &gt;18 F, adults (&gt;18 years, male and female). Letters (a, b, c, d) denote statistically significant differences between groups. Abbreviations: MP, medroxy progesterone; MT, methyl testosterone; HPA, hydroxyprogesterone acetate; MGT, megestrol; HP, hydroxy progesterone; DPN, drospirenone; 17α-BOL, 17α-boldenone; NTD norethynodrel; 19-NTD, 19-norethindrone; 19-NT, 19-nortestosterone; 5α-DHP, 5α-dihydroprogesterone; PGT, progesterone; MLA, melengestrol acetate; ADD, androsta-1,4-diene-3,17-dione; MPA, medroxyprogesterone acetate; T, testosterone; AED, 4-androstene-3,17-dione; 17β-BOL, 17β-boldenone.</p>
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17 pages, 1812 KiB  
Article
Assessments of Heavy Metal Contaminants in the Drenica River and Bioremediation by Typha angustifolia
by Osman Fetoshi, Romina Koto, Fatbardh Sallaku, Hazir Çadraku, Smajl Rizani, Pajtim Bytyçi, Demokrat Nuha, Bojan Đurin, Berat Durmishi, Veton Haziri, Fidan Feka, Shkendije Sefa Haziri, Upaka Rathnayake and Dragana Dogančić
Hydrology 2024, 11(9), 140; https://doi.org/10.3390/hydrology11090140 - 5 Sep 2024
Viewed by 972
Abstract
The concentrations of cadmium, copper, lead, zinc, nickel, and chromium in samples of sediment, water, and Typha angustifolia plants in the stream of the Drenica River were determined to assess the level of pollution. According to sediment analysis results from seven locations, the [...] Read more.
The concentrations of cadmium, copper, lead, zinc, nickel, and chromium in samples of sediment, water, and Typha angustifolia plants in the stream of the Drenica River were determined to assess the level of pollution. According to sediment analysis results from seven locations, the concentrations of Cu, Ni, Zn, and Cr exceeded the permitted limits according to WHO standards from 1996. In the plant samples, the concentrations of Cd and Pb were above the allowed limits according to GD161 and ECE standards, and according the WHO standard, the water quality in the Drenica River is classified into the first, second, and third quality categories. The results of this study show the bioaccumulation coefficient in Typha angustifolia plants, and it was found that the most bioaccumulated of the metals is Cd, with a bioaccumulation coefficient (BAF) greater than 1. The pollution load index (PLI), enrichment factor (EF index), Geoaccumulation index (Igeo), potential ecological risk factor (Eif), and potential ecological risk index (RI) were used in combination to assess the degree of pollution and the environmental risk presented to the freshwater ecosystem of the Drenica River. The results show that the Drenica River is mainly polluted by Ni, Cu, and Cr, reflecting substantial impacts of anthropogenic activities, including sizeable industrial effects, the development of urbanism, agricultural activities, and the deposition of waste from a ferronickel factory in the area. Full article
(This article belongs to the Section Surface Waters and Groundwaters)
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<p>Location of research area and environmental hotspots.</p>
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<p>The levels of heavy metals in sediment along the streams of the Drenica River.</p>
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<p>Pollution load index (PLI) value of heavy metals in the sediment of the Drenica river.</p>
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<p>Enrichment factor (EF) values for heavy metals in sediment from sampling sites along the Drenica River.</p>
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<p>Hierarchical dendrogram.</p>
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14 pages, 3890 KiB  
Article
Potentially Toxic Elements Uptake and Distribution in Betula middendorffii T. and Duschekia fruticosa R. Growing on Diamond Mining Area (Yakutia, Russia)
by Anna Gololobova and Yana Legostaeva
Plants 2024, 13(17), 2440; https://doi.org/10.3390/plants13172440 - 31 Aug 2024
Cited by 1 | Viewed by 953
Abstract
This study was conducted in the territory of the industrial site of the Udachny Mining and Processing Division (Yakutia, Russia). The objects of study were permafrost soils and two species of shrubs (Betula middendorffii T. and Duschekia fruticose R.). Soil and [...] Read more.
This study was conducted in the territory of the industrial site of the Udachny Mining and Processing Division (Yakutia, Russia). The objects of study were permafrost soils and two species of shrubs (Betula middendorffii T. and Duschekia fruticose R.). Soil and plant samples were analyzed by atomic absorption spectrometry for the presence of potentially toxic elements (Pb, Ni, Mn, Cd, Co, Co, Cr, Zn, Cu, and As). The bioaccumulation factor for each element was also calculated. In the studied plants, the investigated elements were arranged in the following descending row in terms of their content: Mn > Zn > Cr > Ni > Cu > Pb > As > Co > Cd, but in terms of bioaccumulation degree, they decrease in the following row: Cr > Zn > Ni > Mn > Pb > Cu > Cd > Co—for Betula middendorffii, Cr > Zn > Ni > Pb > Cu > Mn > Mn > Cd > Co—for Duschekia fruticose. The bioaccumulation factor results confirmed that Betula middendorffiii and Duschekia fruticosa are resistant to high concentrations of Cr, Ni, Co, Cu, Mn, and Zn elements coherent to kimberlites. Full article
(This article belongs to the Special Issue Heavy Metal Tolerance in Plants and Algae)
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<p>Location of the study area: (<b>a</b>) location of the study area; (<b>b</b>) <span class="html-italic">Betula middendorffii T.</span> and <span class="html-italic">Duschekia fruticose R.</span> sampling scheme.</p>
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<p>Bioaccumulation factor in leaves of <span class="html-italic">Betula middendorffii. BAF</span> = 0–1—no accumulation, the weak capture; <span class="html-italic">BAF</span> = 1–10—weak accumulation and medium capture; <span class="html-italic">BAF</span> = 10–100—the vigorous accumulation; <span class="html-italic">BAF</span> ≥ 100—the serious (high) accumulation.</p>
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<p>Bioaccumulation factor in leaves of <span class="html-italic">Duschekia fruticose. BAF</span> = 0–1—no accumulation, the weak capture; <span class="html-italic">BAF</span> = 1–10—weak accumulation and medium capture; <span class="html-italic">BAF</span> = 10–100—the vigorous accumulation; <span class="html-italic">BAF</span> ≥ 100—the serious (high) accumulation.</p>
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<p>The level of biological capture and accumulation of PTEs in the soil–plant system on the territory of the industrial site of the Udachny Mining and Processing Division.</p>
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14 pages, 2252 KiB  
Article
Metals Transfer in Mushroom Tricholoma matsutake from Regional High Geochemical Background Areas: Environmental Influences and Human Health Risk
by Cuiting Wang, Jue Bi, Yukang Zhang, Yixuan Zhang and Xue Liu
J. Fungi 2024, 10(9), 608; https://doi.org/10.3390/jof10090608 - 26 Aug 2024
Viewed by 571
Abstract
Wild-grown edible mushrooms are important in world diets and are also efficient metal accumulators. Yunnan, Southwest China, is the main producing region, with typically high levels of geochemical metals. The environmental factors, bioaccumulation, distribution and human health risks of metals were examined in [...] Read more.
Wild-grown edible mushrooms are important in world diets and are also efficient metal accumulators. Yunnan, Southwest China, is the main producing region, with typically high levels of geochemical metals. The environmental factors, bioaccumulation, distribution and human health risks of metals were examined in paired soil and Tricholoma matsutake (n = 54). T. matsutake grows on acidified soils (pH = 3.95–6.56), and metals show a strong heterogeneity, with Fe, Mn, Zn and Cu in the ranges of 16–201, 0.046–8.58 g kg−1, and 22.6–215, 3.7–155 mg kg−1. High soil Fe content led to great accumulation in T. matsutake (0.24–18.8 g kg1). However, though the soil Mn content was higher than that of Zn and Cu, their concentrations in T. matsutake were comparable (21.1–487 vs. 38.7–329 and 24.9–217 mg kg1). This suggested that T. matsutake prefers to accumulate Zn and Cu compared to Mn, and this is supported by the bioaccumulation factors (BAFs = 0.32–17.1 vs. 0.006–1.69). Fe was mainly stored in stipes, while Mn, Zn and Cu were stored in caps, and the translocation factors (TFs) were 0.58 vs. 1.28–1.94. Therefore, stipe Fe showed the highest health risk index (HRI) at 1.28–26.9, followed by cap Cu (1.01–2.33), while 98–100% of the Mn and Zn were risk-free. The higher concentration and greater risk of Fe was attributed to the significant effect of soil Fe content (R = 0.34) and soil pH (R = −0.57). This study suggested that Fe, as an essential mineral, may exert toxic effects via the consumption of T. matsutake from high geochemical background areas. Full article
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<p>Distribution of 54 sampling sits in Luoji (n = 40) and Jiantang (n = 14), Yunnan Province, Southwest China.</p>
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<p>Metals (Fe, Mn, Zn, Cu) concentration in soils (<b>A</b>) and variations between the regions of Luoji (n = 40) and Jiantang (n = 14) (<b>B</b>). The bottom and top of the box represent the 25th and 75th percentiles and the error bars represent the minimum and maximum values within the normal range. The solid lines inside the box represent the median value.</p>
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<p>Metals (Fe, Mn, Zn, Cu) concentrations in <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> cap and stipe and comparisons between the regions of Luoji (n = 40) and Jiantang (n = 14). The bottom and top of the box represent the 25th and 75th percentiles and the error bars represent the minimum and maximum values within the normal range. The solid lines inside the box represent the median value.</p>
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<p>Bioaccumulation factor (BAF) of Fe, Mn, Zn and Cu in cap (<b>A</b>) and stipe (<b>B</b>) and the translocation factor (TF) (<b>C</b>) in <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> (n = 54). BAF &gt; 1 and TF &gt; 1 (red line) indicates that <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> possesses accumulating or stipe-to-cap translocating ability towards the given element, respectively.</p>
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<p>Health risk index (HRI) of Fe, Mn, Zn and Cu via ingestion of <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> cap (<b>A</b>) and stipe (<b>B</b>) (n = 54). HRI &gt; 1 (blue line) indicates there is a potential health risk of the element via consumption of the <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> cap or stipe.</p>
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<p>Correlations of metals (Fe, Mn, Zn and Cu) concentration in <span class="html-italic">T</span>. <span class="html-italic">matsutake</span> cap and stipe with soil pH, organic matter content (OM) and metals concentration with significance at <span class="html-italic">p</span> &lt; 0.05 (*) or <span class="html-italic">p</span> &lt; 0.01 (**).</p>
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15 pages, 2113 KiB  
Article
Predictive Machine Learning Model to Assess the Adsorption Efficiency of Biochar-Heavy Metals for Effective Remediation of Soil–Plant Environment
by Xiang Li, Bing Chen, Weisheng Chen, Yilong Yin, Lianxi Huang, Lan Wei, Mahrous Awad and Zhongzhen Liu
Toxics 2024, 12(8), 575; https://doi.org/10.3390/toxics12080575 - 7 Aug 2024
Viewed by 1024
Abstract
Biochar is crucial for agricultural output and plays a significant role in effectively eliminating heavy metals (HMs) from the soil, which is essential for maintaining a soil–plant environment. This work aimed to assess machine learning models to analyze the impact of soil parameters [...] Read more.
Biochar is crucial for agricultural output and plays a significant role in effectively eliminating heavy metals (HMs) from the soil, which is essential for maintaining a soil–plant environment. This work aimed to assess machine learning models to analyze the impact of soil parameters on the transformation of HMs in biochar–soil–plant environments, considering the intricate non-linear relationships involved. A total of 211 datasets from pot or field experiments were evaluated. Fourteen factors were taken into account to assess the efficiency and bioavailability of HM–biochar amendment immobilization. Four predictive models, namely linear regression (LR), partial least squares (PLS), support vector regression (SVR), and random forest (RF), were compared to predict the immobilization efficiency of biochar-HM. The findings revealed that the RF model was created using 5-fold cross-validation, which exhibited a more reliable prediction performance. The results indicated that soil features accounted for 79.7% of the absorption of HM by crops, followed by biochar properties at 17.1% and crop properties at 3.2%. The main elements that influenced the result have been determined as the characteristics of the soil (including the presence of different HM species and the amount of clay) and the quantity and attributes of the biochar (such as the temperature at which it was produced by pyrolysis). Furthermore, the RF model was further developed to predict bioaccumulation factors (BAF) and variations in crop uptake (CCU). The R2 values were found to be 0.7338 and 0.6997, respectively. Thus, machine learning (ML) models could be useful in understanding the behavior of HMs in soil–plant ecosystems by employing biochar additions. Full article
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<p>Pearson’s correlation matrix of influencing factors. (X1: experiment scale, X2: type of crops, X3: application rate (%), X4: feedstock, X5: pyrolysis temperature, X6: clay content, X7: silt content, X8: sand content, X9: soil pH, X10: soil organic carbon, X11: crop duration, X12: total heavy metals in soil, X13: available heavy metals in soil, X14: type of heavy metals, and Y: immobilization efficiency).</p>
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<p>Analysis of the experimental and predicted data based on the model. (<b>a</b>) random forest (RF) model, (<b>b</b>) support vector regression (SVR) model, (<b>c</b>) linear regression (LR) model and (<b>d</b>) partial least squares (PLS) model. The red lines refer to the line y = x (45° line).</p>
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<p>Relative importance of each variable on the immobilization efficiency (X1 is experiment size; X2 is type of crops; X3 is application rate (%); X4 is feedstock; X5 is pyrolysis temperature; X6 is clay content; X7 is silt content; X8 is sand content; X9 is soil pH; X10 is soil organic carbon; X11 is days from planting to sowing; X12 is total heavy metals in soil; X13 initial heavy metals in soils; X14 species of heavy metals).</p>
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<p>RF model for experimental and predicted values versus the number of data points: (<b>a</b>) bioaccumulation factors (BAFs) and (<b>b</b>) change in crop uptake (CCU); the red line represented true data, and the green line represented the predicted data.</p>
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<p>A two-stage approach to predict bioavailability (<b>a</b>) random forest model was used to predict the immobilization efficiency. (<b>b</b>) The predicted available HM concentrations are used as inputs for a developed random forest model to predict changes in crop uptake and bioaccumulation factors. (X1 is experiment size; X2 is type of crops; X3 is application rate (%); X4 is feedstock; X5 is pyrolysis temperature; X6 is clay content; X7 is silt content; X8 is sand content; X9 is soil pH; X10 is soil organic carbon; X11 is days from planting to sowing; X12 is total heavy metals in soil; X13 initial heavy metals in soils; X14 type of heavy metals).</p>
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14 pages, 2388 KiB  
Article
Activated Biochar-Amended Phytoextraction of Selenium in Contaminated Soil under Cold Climate in Northern Québec (Canada)
by Selma Etteieb, Flavia Braghiroli, Émilie Robert, Sara Magdouli, Satinder Kaur Brar and Jean-François Blais
Appl. Sci. 2024, 14(13), 5596; https://doi.org/10.3390/app14135596 - 27 Jun 2024
Viewed by 587
Abstract
Combining phytoextraction and biochar amendment was suggested as an alternative for selenium (Se) bioremediation in contaminated soils. The current study aimed to test the performance of activated biochar as an amendment for the phytoextraction of selenium-contaminated soil by Phleum sp. Results showed that [...] Read more.
Combining phytoextraction and biochar amendment was suggested as an alternative for selenium (Se) bioremediation in contaminated soils. The current study aimed to test the performance of activated biochar as an amendment for the phytoextraction of selenium-contaminated soil by Phleum sp. Results showed that Se immobilization in soil was enhanced by the addition of activated biochar owing to its improved physicochemical structure compared to pristine biochar. In parallel, activated biochar contributed to improving soil fertility by increasing pH and organic matter. The bioaccumulation factor (BAF) of Se in the absence of activated biochar and biochar amendment was 8.7, which suggests the suitability of the Phleum plant species as a Se secondary accumulator species to be further used in a Nordic context. Se plant uptake was positively correlated to Se level in soil, pH, redox potential, organic matter, cations (Ca, Mg, Na, K), metals (Al, Cr, Fe, Mn, Co, Pb) and anions (Cl, SO4). However, Se bioavailability for plant uptake was reduced due to Se immobilization in soil by activated biochar. Thus, activated biochar addition played an important role to support Se levels reduction in contaminated soil and consequently hinder phytoextraction performance by Phleum species. This combination of activated biochar and Phleum Se-accumulator plant was validated as an efficient solution for Se remediation in contaminated soil which could be applied at large scale under cold climates. Full article
(This article belongs to the Section Agricultural Science and Technology)
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<p>Selenium level distribution in soil and plants at different concentrations (1, 2, and 3 mg/kg) using different quantities of materials: 10 and 50 g of activated biochar and 10 g of pristine biochar collected at the end of the greenhouse experimental device. * A level of 0.05 was accepted as significant <span class="html-italic">p</span> &lt; 0.05 and ** as highly significant (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Soil parameters such as electrical conductivity, oxygen redox potential, pH, dissolved oxygen, and organic matter at different Se concentrations (1, 2, and 3 mg/kg) using different quantities of materials: 10 and 50 g of activated biochar and 10 g of pristine biochar collected at the end of the greenhouse experimental device.</p>
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<p>Soil parameters such as electrical conductivity, oxygen redox potential, pH, dissolved oxygen, and organic matter at different Se concentrations (1, 2, and 3 mg/kg) using different quantities of materials: 10 and 50 g of activated biochar and 10 g of pristine biochar collected at the end of the greenhouse experimental device.</p>
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<p>Soil parameters such as electrical conductivity, oxygen redox potential, pH, dissolved oxygen, and organic matter at different Se concentrations (1, 2, and 3 mg/kg) using different quantities of materials: 10 and 50 g of activated biochar and 10 g of pristine biochar collected at the end of the greenhouse experimental device.</p>
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<p>Bioaccumulation factors of Se calculated in the soil at different Se concentrations (1, 2, and 3 mg/kg) using different quantities of materials: 10 and 50 g of activated biochar and 10 g of pristine biochar collected at the end of the greenhouse experimental device.</p>
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<p>Bioaccumulation factors of heavy metals in plants at different Se concentrations (1, 2, and 3 mg/kg) using different quantities of materials: 10 and 50 g of activated biochar and 10 g of pristine biochar collected at the end of the greenhouse experimental device.</p>
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<p>Bioaccumulation factors of cations in plants at different Se concentrations (1, 2, and 3 mg/kg) using different quantities of materials: 10 and 50 g of activated biochar and 10 g of pristine biochar collected at the end of the greenhouse experimental device.</p>
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16 pages, 23191 KiB  
Article
Assessing Phytoremediation Potential: Dominant Plants in Soils Impacted by Polymetal(loid)lic Mining
by Boxin Wang, Juan Hou, Xueyong Wu, Xuekui Niu and Fengping Zhou
Processes 2024, 12(4), 833; https://doi.org/10.3390/pr12040833 - 19 Apr 2024
Viewed by 1155
Abstract
Phytoremediation, an ecological approach aimed at addressing polymetal(loid)lic-contaminated mining soils, has encountered adaptability challenges. Dominant plant species, well-suited to the local conditions, have emerged as promising candidates for this purpose. This study focused on assessing the phytoremediation potential of ten plant species that [...] Read more.
Phytoremediation, an ecological approach aimed at addressing polymetal(loid)lic-contaminated mining soils, has encountered adaptability challenges. Dominant plant species, well-suited to the local conditions, have emerged as promising candidates for this purpose. This study focused on assessing the phytoremediation potential of ten plant species that thrived in heavy metal(loid)-contaminated mining soils. This investigation covered nine heavy metal(loid)s (As, Cu, Cd, Cr, Hg, Ni, Pb, Sn, and Zn) in both plants and rhizosphere soils. The results revealed a significant impact of mining activities, with heavy metal(loid) concentrations surpassing the Yunnan Province’s background levels by 1.06 to 362 times, highlighting a significant concern for remediation. The average levels of the heavy metal(loid)s followed the order of As (3.98 × 103 mg kg−1) > Cu (2.83 × 103 mg kg−1) > Zn (815 mg kg−1) > Sn (176 mg kg−1) > Pb (169 mg kg−1) > Cr (68.1 mg kg−1) > Ni (36.2 mg kg−1) > Cd (0.120 mg kg−1) > Hg (0.0390 mg kg−1). The bioconcentration factors (BCFs), bioaccumulation factors (BAFs), and translocation factors (TFs) varied among the native plants, indicating diverse adaptation strategies. Low BCFs and BAFs (ranging from 0.0183 to 0.418 and 0.0114 to 0.556, respectively) suggested a low bioavailability of heavy metal(loid)s. Among the species, both J. effusus and P. capitata showed remarkable abilities for As accumulation, while A. adenophora demonstrated a notable accumulation ability for various heavy metal(loid)s, especially Cd, with relatively high BCFs (1.88) and BAFs (3.11), and the TF at 1.66 further underscored the crucial role of translocation in preventing root toxicity. These findings emphasized the potential of these plant species in mine ecological restoration and phytoremediation, guiding targeted environmental rehabilitation strategies. Full article
(This article belongs to the Special Issue Advances in Remediation of Contaminated Sites: Volume II)
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<p>The map of (<b>a</b>) Gejiu city, Yunnan Province, China, and (<b>b</b>) the sampling location.</p>
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<p>Distribution of different heavy metal(loid)s in the collected soil samples ((<b>a</b>) As; (<b>b</b>) Cu; (<b>c</b>) Zn; (<b>d</b>) Sn; (<b>e</b>) Pb; (<b>f</b>) Cr; (<b>g</b>) Ni; (<b>h</b>) Cd; and (<b>i</b>) Hg).</p>
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<p>Concentration of heavy metal(loid)s in both above-ground and below-ground parts of the plants ((<b>a</b>) As; (<b>b</b>) Cu; (<b>c</b>) Zn; (<b>d</b>) Cr; (<b>e</b>) Ni; (<b>f</b>) Pb; (<b>g</b>) Cd; (<b>h</b>) Sn; (<b>i</b>) Hg).</p>
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<p>Bioconcentration factor (BCF) values of different heavy metal(loid)s in dominant plants.</p>
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<p>Transfer factor (TF) values of different heavy metal(loid)s in dominant plants.</p>
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<p>Bioaccumulation factor (BAF) values of different heavy metal(loid)s in dominant plants.</p>
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12 pages, 932 KiB  
Article
Heavy Metal Accumulation in Three Varieties of Mustard Grown under Five Soil Management Practices
by Anjan Nepal, George F. Antonious, Frederick N. Bebe, Thomas C. Webster, Buddhi R. Gyawali and Basanta Neupane
Environments 2024, 11(4), 77; https://doi.org/10.3390/environments11040077 - 11 Apr 2024
Cited by 2 | Viewed by 2208
Abstract
Heavy metal pollution represents a global health issue. Different methods and technologies are adopted to mitigate the problem of heavy metal pollution. Phytoremediation has been gaining attention as an environmentally friendly method to remediate this problem. The purpose of this research is to [...] Read more.
Heavy metal pollution represents a global health issue. Different methods and technologies are adopted to mitigate the problem of heavy metal pollution. Phytoremediation has been gaining attention as an environmentally friendly method to remediate this problem. The purpose of this research is to explore the effectiveness of phytoremediation in agricultural settings to assess the effect of five soil management practices (chicken manure, sewage sludge, leaf compost, cow manure, and vermicompost) on Cd, Cu, Mo, Ni, Pb, and Zn accumulation in the mustard (leaves and pods) of three mustard Brassica juncea varieties (black mustard, yellow mustard, and mighty mustard). The accumulation in mustard was quantified using the Inductively Coupled Plasma Optical Emission Spectrometer (ICP-OES). The results showed that the bioaccumulation factor (BAF) of the three mustard varieties exceeded one (BAF > 1) for Cd and Mo. It indicates that mustard is a good accumulator of Cd and Mo, whereas BAF values for Cu, Pb, Ni, and Zn were less than one (BAF < 1). The accumulated Cu, Mo, Ni, and Zn levels were below the allowable limit, whereas the Cd and Pb levels were beyond the limit. This result indicates that the investigated mustard varieties can be grown on heavy metal polluted sites for Cd and Mo phytoremediation purposes, but care is needed with regard to Cd and Mo toxicity. Full article
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<p>BAF values of total heavy metals in the mighty mustard grown under different soil amendments. Bars accompanied by different letter(s) within each graph are significantly different (<span class="html-italic">p</span> ≤ 0.05). The analysis was conducted by using MultcompView package in R version 4.3.3 [<a href="#B33-environments-11-00077" class="html-bibr">33</a>].</p>
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<p>BAF values of total heavy metals in the black mustard grown under different soil amendments. Bars accompanied by different letter(s) within each graph are significantly different (<span class="html-italic">p</span> ≤ 0.05). The analysis was conducted using MultcompView package in R version 4.3.3 [<a href="#B33-environments-11-00077" class="html-bibr">33</a>].</p>
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<p>BAF values of total heavy metals in the yellow mustard grown under different soil amendments. Bars accompanied by different letter(s) within each graph are significantly different (<span class="html-italic">p</span> ≤ 0.05). The analysis was conducted using MultcompView package in R version 4.3.3 [<a href="#B33-environments-11-00077" class="html-bibr">33</a>].</p>
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<p>BAF values of the average from three mustard varieties grown under different soil amendments. Bars accompanied by different letter(s) within each graph are significantly different (<span class="html-italic">p</span> ≤ 0.05). The analysis was conducted using MultcompView package in R version 4.3.3 [<a href="#B33-environments-11-00077" class="html-bibr">33</a>].</p>
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15 pages, 4094 KiB  
Article
Removal of Chromium (III) and Reduction in Toxicity in a Primary Tannery Effluent Using Two Floating Macrophytes
by Tomás R. López Arias, Deidamia Franco, Leonida Medina, César Benítez, Verónica Villagra, Shaun McGahan, Giselle Mariza Duré and Hajime G. Kurita-Oyamada
Toxics 2024, 12(2), 152; https://doi.org/10.3390/toxics12020152 - 16 Feb 2024
Viewed by 2397
Abstract
Trivalent chromium (Cr(III)) is a contaminant with toxic activity. Its presence in waters and soils is usually related to industrial activities such as tanneries. The aim of this study was to compare the removal of Cr(III) in hydroponic solutions and tannery effluents using [...] Read more.
Trivalent chromium (Cr(III)) is a contaminant with toxic activity. Its presence in waters and soils is usually related to industrial activities such as tanneries. The aim of this study was to compare the removal of Cr(III) in hydroponic solutions and tannery effluents using two floating macrophytes: Salvinia auriculata and Eichhornia crassipes. First, to determine the chromium removal capacity in solution and the bioaccumulation factor (BAF) in tissues of each plant, experiments were set up with contaminated solutions with Cr(III) concentrations of 2, 5, 10, 20, and 40 mg/L. Subsequently, both plant species were exposed to a primary tannery effluent contaminated with 12 mg/L of Cr(III) in order to study the removal capacity of organic and inorganic matter, as well as the acute toxicity in the water flea (Daphnia magna) and genotoxicity in zebrafish (Danio rerio). Tests carried out on nutrient solutions revealed that both plants have a high capacity for removing Cr(III) in solution. The BAF in tissues was higher in E. crassipes compared to S. auriculata. In the experiments with a tannery effluent, both species presented low nutrient and organic matter removal efficiency, but they showed good Cr(III) removal capacity, with average reduction values of 57% for S. auriculata and 54% for E. crassipes after 72 h of exposure. E. crassipes contributed most to the reduction in acute toxicity in D. magna, while S. auriculata did not show a similar effect. However, both plant species managed to reduce the genotoxicity marker in D. rerio when compared with the initial effluent and the control. Full article
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<p>Removal of Cr(III) from two macrophytes exposed to synthetic solution.</p>
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<p>Final removal at different Cr(III) concentrations for each plant. Each value is the mean of the five replicates, and the bars represent standard deviations. Uppercase and lowercase letters indicate significant differences between species for each treatment obtained using Student’s <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &lt; 0.05). The symbols correspond to the ANOVA and the homogeneous subsets, where the asterisk (*) corresponds to <span class="html-italic">S. auriculata</span> and the pound (#) to <span class="html-italic">E. crassipes</span> (<span class="html-italic">p</span> &lt; 0.05). More than one asterisk or pound sign indicates significant differences between treatment subgroups for each species.</p>
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<p>Cr(III) removal after phytoremediation treatment of tannery effluent. Each value is the mean of the three replicates, with bars representing standard deviations. Letters correspond to ANOVA and homogeneous subsets (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Variation of acute toxicity in <span class="html-italic">Daphnia magna</span> in the different treatment of tannery effluent. Each value is the mean of the three replicates, with bars representing standard deviations. Letters correspond to ANOVA and homogeneous subsets (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Frequency of micronuclei in 2000 <span class="html-italic">Danio rerio</span> cells in different treatments. Each value is the mean of the three replicates, with bars representing standard deviations. Letters correspond to ANOVA and homogeneous subsets (<span class="html-italic">p</span> &lt; 0.05).</p>
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14 pages, 1787 KiB  
Article
Assessing the Bioaccumulation of Heavy Metals in Cabbage Grown under Five Soil Amendments
by Anjan Nepal, George F. Antonious, Buddhi R. Gyawali, Thomas C. Webster and Frederick Bebe
Pollutants 2024, 4(1), 58-71; https://doi.org/10.3390/pollutants4010005 - 2 Feb 2024
Cited by 3 | Viewed by 2015
Abstract
Increased heavy metal pollution worldwide necessitates urgent remediation measures. Phytoremediation stands as an eco-friendly technique that addresses this issue. This study aimed to investigate the applicability of phytoremediation in agricultural practices. Specifically, to evaluate the impact of five soil amendments (chicken manure, sewage [...] Read more.
Increased heavy metal pollution worldwide necessitates urgent remediation measures. Phytoremediation stands as an eco-friendly technique that addresses this issue. This study aimed to investigate the applicability of phytoremediation in agricultural practices. Specifically, to evaluate the impact of five soil amendments (chicken manure, sewage sludge, leaf compost, cow manure, and vermicompost) on three cabbage (Brassica oleracea var. capitata) varieties (Capture, Primo vantage, and Tiara) yield, quality, and the accumulation of Cd, Cu, Mo, Ni, Pb, and Zn in cabbage heads. The bioaccumulation efficiency of cabbage was determined using an inductively coupled plasma–optical emission spectrometer (ICP-OES). Analysis revealed that soil enriched with chicken manure exhibited the highest cabbage yield. Each cabbage variety demonstrated very high bioaccumulation factor (BAF) indicating substantial heavy metal accumulation. These findings underscore the potential of utilizing crops for phytoremediation to mitigate heavy metal pollution. Additionally, the concentrations of metals below the permissible limits suggest that employing crops for phytoremediation can simultaneously ensure food productivity. This study emphasizes the necessity for further research into the use of crops for remediation strategies. Full article
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<p>Total yield of cabbage grown under six soil management practices (Cow = cow manure, SS = sewage sludge, CM = chicken manure, Leaf = leaf compost, Vermi = vermicompost, and Control = native soil). Bars accompanied by different letter(s) are significantly different (<span class="html-italic">p</span> ≤ 0.05) from each other. Samples were analyzed using ‘multicomp::cld’ function from R 2023.</p>
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<p>Total yield of cabbage grown under six soil management practices. Statistical comparisons were carried out among six soil management practices for each variety. Bars accompanied by different letter(s) are significantly different (<span class="html-italic">p</span> ≤ 0.05) from each other. Samples were analyzed using ‘multicomp::cld’ function from R 2023 (R Core Team, 2023).</p>
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<p>Variability in cabbage grades of plants grown under six soil management practices. Statistical comparisons were carried out among three cabbage grades. Bars accompanied by different letter(s) are significantly different (<span class="html-italic">p</span> ≤ 0.05) from each other. Samples were analyzed using ‘multicomp::cld’ function from R 2023.</p>
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<p>Bioaccumulation factor of soluble heavy metals in cabbage var. Primo vantage grown under six soil management practices (CM = chicken manure, Cow = cow manure, Vermi = vermicompost, Leaf = leaf compost, SS = sewage sludge, and Control = native soil) extracted using CaCl<sub>2</sub>. Bars accompanied by different letter(s) are significantly different (<span class="html-italic">p</span> ≤ 0.05) from each other. Samples were analyzed using ‘multicomp::cld’ function from R 2023.</p>
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<p>Bioaccumulation factor of soluble heavy metals in cabbage var. Tiara grown under six soil management practices (CM = chicken manure, Cow = cow manure, Vermi = vermicompost, Leaf = leaf compost, SS = sewage sludge, and Control = native soil) extracted using CaCl<sub>2</sub>. Bars accompanied by different letter(s) are significantly different (<span class="html-italic">p</span> ≤ 0.05) from each other. Samples were analyzed using ‘multicomp::cld’ function from R 2023.</p>
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<p>Bioaccumulation factor of soluble heavy metals in cabbage var. Capture grown under six soil management practices (CM = chicken manure, Cow = cow manure, Vermi = vermicompost, Leaf = leaf compost, SS = sewage sludge, and Control = native soil) extracted using CaCl<sub>2</sub>. Bars accompanied by different letter(s) are significantly different (<span class="html-italic">p</span> ≤ 0.05) from each other. Samples were analyzed using ‘multicomp::cld’ function from R 2023.</p>
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<p>Overall bioaccumulation factor of soluble heavy metals of three varieties of cabbage grown under six soil management practices (CM = chicken manure, Cow = cow manure, Vermi = vermicompost, Leaf = leaf compost, SS = sewage sludge, and Control = native soil) extracted using CaCl<sub>2</sub>. Bars accompanied by different letter(s) are significantly different (<span class="html-italic">p</span> ≤ 0.05) from each other. Samples were analyzed using ‘multicomp::cld’ function from R 2023.</p>
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19 pages, 1836 KiB  
Article
Bioaccumulation and Translocation of Heavy Metals in Paddy (Oryza sativa L.) and Soil in Different Land Use Practices
by Roslaili Abdul Aziz, Mok Yiwen, Mawaddah Saleh, Mohd Nazry Salleh, Subash C. B. Gopinath, Sunny Goh Eng Giap, Suresh V. Chinni and Ramachawolran Gobinath
Sustainability 2023, 15(18), 13426; https://doi.org/10.3390/su151813426 - 7 Sep 2023
Cited by 5 | Viewed by 1910
Abstract
Rice tends to accumulate heavy metals present in soil that have been introduced by human activities and pass them up the food chain. The present study aimed to evaluate the accumulation of selected trace elements (Cu, Zn, and Pb) in paddy and soil [...] Read more.
Rice tends to accumulate heavy metals present in soil that have been introduced by human activities and pass them up the food chain. The present study aimed to evaluate the accumulation of selected trace elements (Cu, Zn, and Pb) in paddy and soil and the transfer of these metals from soil to rice by analysing the bioconcentration factor (BCF), bioaccumulation factor (BAF), and translocation factor (TF) of heavy metals in paddy (Oryza sativa L.) and soil. Samples of matured paddy and the substrates were collected from three different areas located near a rural point (RP), a transportation point (TP), and an industrial point (IP). Heavy metal concentrations present in the soil and various parts of the plants were ascertained using an atomic absorption spectrophotometer (AAS). Cu, Zn, and Pb accumulation in the soil were detected in increasing orders of RP > TP > IP, IP > TP > RP, and IP > RP > TP, respectively. The BCFshoot, BAF, and transfer factor of both Zn and Pb from soil to rice were detected in the order of TP > IP > RP, which was different from Cu, where BCFshoot and TF showed the order of RP > IP > TP but the BAF indicated IP > RP > TP. TF > 1 was discovered for Zn and Pb at the TP, and for Cu at the RP, which could be attributed to the TP’s strongly acidic soil and Cu’s abundance in the RP’s soil. Paddy height and yield traits were the most significant at the IP site, showing the highest number of fertile spikelets, the average weight of a 1000-paddy spikelet, and the harvest index (0.56). These findings can be related to the normal range of Zn and Pb found in rice plants that support growth. Thus, the findings of this study demonstrated that soil properties and metal abundance in soil from certain land use practices can partially influence the mobility and transfer of metals through soil–plant pathways. Full article
(This article belongs to the Section Pollution Prevention, Mitigation and Sustainability)
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<p>Location of study areas in Perlis.</p>
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<p>Concentration of heavy metals in plants.</p>
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<p>(<b>a</b>) Harvest Index of paddy at different study locations and (<b>b</b>) the number of fertile spikelets.</p>
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13 pages, 1430 KiB  
Article
Patterns of Copper Bioaccumulation and Translocation in Grapevine Grafts Depending on Rootstocks
by Stanko Vršič, Mojca Gumzej, Mario Lešnik, Andrej Perko and Borut Pulko
Agriculture 2023, 13(9), 1768; https://doi.org/10.3390/agriculture13091768 - 6 Sep 2023
Viewed by 1141
Abstract
The long-term use of copper (Cu) fungicides in viticulture in Europe has led to Cu accumulation in vineyard top soils. However, less is known about the accumulation of Cu in grapevine grafts after the callusing process/before planting in the nursery. This paper presents [...] Read more.
The long-term use of copper (Cu) fungicides in viticulture in Europe has led to Cu accumulation in vineyard top soils. However, less is known about the accumulation of Cu in grapevine grafts after the callusing process/before planting in the nursery. This paper presents the capacity of 5BB and SO4 rootstocks to accumulate Cu, as well as the patterns of translocation in the grafts. After heat forcing (callusing), the grapevine grafts of Sauvignon Blanc on 5BB and SO4 rootstocks were grown in pots for six months in a glasshouse and exposed to various Cu formulations (Cu-oxychloride, Cu-gluconate) and concentrations in peat (50, 150, 500, and 1000 mg Cu of dry weight (DW)). In addition to monitoring the shoot growth dynamics and analyzing the copper content in graft organs, bioaccumulation (BAFs) and translocation factors (TFs) of Cu were calculated. The mean Cu concentrations were ranked as follows: roots (15–164) > rootstock trunks (8–38) > canes (5–21) mg kg−1 DW. The Cu concentrations depended on the Cu formulation and concentration in the substrate. Higher Cu content was found in the roots of both rootstocks (5BB and SO4, 23–155 and 15–164 mg kg−1 DW, respectively) and the lowest in the canes (less than 10 mg kg−1 DW) of grafts grown in Cu-oxychloride-treated peat. Based on the BAFs and TFs, both rootstocks could be considered as Cu exclusive. A higher translocation rate was determined in systemic Cu-gluconate and SO4 rootstock. With shoot length measurements, the significant inhibitory effects of Cu on grapevine grafts growth could not be confirmed, despite the inhibitory effects that were clearly expressed in the first two months of growth. Soils containing more than 500 mg Cu/kg−1 are less suitable for growing vine grafts. Full article
(This article belongs to the Section Crop Production)
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<p>Relative growth rate of grafts of Sauvignon Blanc grafted on 5BB and SO4 rootstocks in response to various Cu concentrations in the substrate after 58 d (20 June) and 143 d (20 September) of growth in pots. Values reported separately for rootstocks, Cu-formulation and measurement period, followed by the same letters are not significantly different according to the LSD test (<span class="html-italic">p</span> ≤ 0.05). Values represent mean ± SE, n = 4.</p>
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<p>Copper content in DW of roots, rootstock trunks, and canes of Sauvignon Blanc grafts on the 5BB and SO4 rootstocks exposed to various Cu concentrations and formulations in the substrate in a pot-based trial. Different letters indicate significant differences between copper content in specific tissues (root, rootstock trunk, cane) and in a specific combinations of rootstock variety and Cu formulation at <span class="html-italic">p</span> ≤ 0.05, according to the LSD tests.</p>
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<p>Correlations between Cu concentration (mg kg<sup>−1</sup>) in roots and in the rootstock trunk and canes of Sauvignon Blanc grafts exposed to various Cu concentrations and formulations in the substrate (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Bioaccumulation factors (BAF) for roots, rootstock trunk, and canes of grapevine grafts of Sauvignon Blanc grafted on 5BB and SO4 rootstocks grown in pots in response to treatment with a range of internal Cu concentrations (mg kg<sup>−1</sup>) in substrate. Different letters indicate significant differences between the BAF values in specific tissues (root, rootstock trunk, cane) and in specific combinations of type of rootstock and Cu formulation at <span class="html-italic">p</span> ≤ 0.05, according to the LSD tests. Values represent mean ± SE, n = 4.</p>
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16 pages, 2615 KiB  
Article
A New Technique for the Passive Monitoring of Particulate Matter: Olive Pollen Grains as Bioindicators of Air Quality in Urban and Industrial Areas
by Roberta Selvaggi, Emma Tedeschini, Stefania Pasqualini, Beatrice Moroni, Chiara Petroselli and David Cappelletti
Appl. Sci. 2023, 13(17), 9541; https://doi.org/10.3390/app13179541 - 23 Aug 2023
Cited by 1 | Viewed by 1649
Abstract
A new technique for the passive monitoring of particulate matter was developed, exploiting olive pollen as a bioindicator. We tested the pollen bioaccumulation efficiency when exposed to atmospheric particulate at three different sites in the Umbria region (Central Italy). Pollen grains, placed into [...] Read more.
A new technique for the passive monitoring of particulate matter was developed, exploiting olive pollen as a bioindicator. We tested the pollen bioaccumulation efficiency when exposed to atmospheric particulate at three different sites in the Umbria region (Central Italy). Pollen grains, placed into sampling holders, were exposed in Perugia, a polluted town impacted by traffic emissions; in Terni, an industrial hotspot; and at Monte Martano, a regional rural site. At the end of the exposure period, the daily deposition fluxes of the soluble and insoluble elements and soluble molecular ions present in particulate were determined, and the bioaccumulation factor (BAF) and bioaccumulation index over time (BAIt) were derived to validate the passive monitoring system, distinguish the deposition contribute from natural pollen composition, and interpret the temporal dependence of the pollen exposure to pollutants. We observed BAFs greater than 1, which means that bioaccumulation occurs, and pollen can be considered a good passive sampler for several crustal and anthropic ions and toxic elements at all sites. BAIt values greater than 1 were detected only for some of the ions and metals previously present in the pollen, like Ca, Cr, and Mn at Terni; and nitrate, Ca, and Mn at Monte Martano and Perugia. Full article
(This article belongs to the Special Issue Heavy Metal Toxicity: Environmental and Human Health Risk Assessment)
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Figure 1

Figure 1
<p>Study areas (<b>a</b>) and location of air-quality monitoring cabins (<b>b</b>).</p>
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<p>Passive sampler used in the studio (<b>a</b>) and Monte Martano cabin (<b>b</b>).</p>
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<p>Scanning electron microscopy images (SEM) of olive pollen samples after exposure to air for 15 days (2019 experiment; (<b>a</b>), Monte Martano; (<b>b</b>), Perugia; (<b>c</b>), Terni.</p>
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