Modelling of Heavy Metals Concentration in Maize (Zea may L.) Grown in Artificially Contaminated Soil

A, Adegbe A.; Eneji, Ishaq S.; Aboiyar, T.; Wuana, R. A.

doi:10.9734/ajopacs/2018/39958

Cited by 3 publications

(3 citation statements)

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“…The models predicted the metal concentration in maize plant very well, and the relationship is significant (0.01 ≤ p ≤ 0.05). However, extrapolation of the present experimental results and its broader application to other plants, still need further investigation [40].…”

Section: Comparison Of Elemental Concentration Values In the Maize From Ruangwa District With Values Reported In The Literaturementioning

confidence: 83%

Analysis of Heavy Metals in Soil and Maize Grown around Namungo Gold Mine in Ruangwa District, Lindi Region in Tanzania Using X-ray Fluorescence

Koleleni

Mbike

2018

CSIJ

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Soils and food crops were collected from three sample villages of Chibula, Chingumbwa and Ligunje which are located nearby the Namungo gold mine. The samples of both maize and soil were prepared and analysed using Energy Dispersive X-rays Fluorescence (EDXRF) with the objective of investigating the elemental concentration levels. Most of the elements in both soil and maize were detected with high concentration levels. The results showed that Maize were accumulated with mean range concentrations of; 870.3-1296.5 mg/kg for Cd, 23.2-24.0 mg/kg for Pb, 1.3-30.7 mg/kg for Hg,1.2-4.9 mg/kg for Cu, 39.8-115.3 mg/kg for V, 402.6-1964.8 mg/kg for Fe, and 8.6-20.1 mg/kg for U respectively. On the other hand, mean range concentrations of metal elements detected in the soil were 3.6-20.3 mg/kg for Pb,2771.6-5969.6 mg/kg for U, 3.4-19.5 mg/kg for Hg, 0.6-8.2 mg/kg for Se, 20.9-830.4mg/kg for As, 49.6-169.2 mg/kg for Cu and192.2-858.8 mg/kg for V. The correlation matrix shows that most the elements are the result of mining activities which might be detrimental to the health of the consumers.

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Section: Comparison Of Elemental Concentration Values In the Maize From Ruangwa District With Values Reported In The Literaturementioning

confidence: 83%

Analysis of Heavy Metals in Soil and Maize Grown around Namungo Gold Mine in Ruangwa District, Lindi Region in Tanzania Using X-ray Fluorescence

Koleleni

Mbike

2018

CSIJ

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“…Antioxidant enzymes were determined by utilizing the supernatant. SOD activity was measured by its capacity to hinder the photoreduction of nitro blue tetrazolium [23]. Peroxidase and catalase were also measured by spectrophotometer using the method given by Aebi [24].…”

Section: Determination Of Physiological and Gas Exchangementioning

confidence: 99%

Influence of Selenium on Growth, Physiology, and Antioxidant Responses in Maize Varies in a Dose-Dependent Manner

Naseem

Anwar‐ul‐Haq

Wang

et al. 2021

Journal of Food Quality

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There is a very narrow margin in selenium deficiency and toxicity although it is an important element for humans, animals, and plants. Effects of selenium (Se) on the growth and physiomorphological parameters in maize were studied grown in soil spiked with sodium selenate (Na2SeO4) in 5 different concentrations (i.e., 0. 2.5, 5.0, 10.0, and 20.0 mg kg−1). The growth of plants was affected by high Se concentration. However, maximum increases in plant height and root length were observed at low Se (2.5 mg kg−1) which were 17.89 and 23.17%, respectively. At higher Se concentrations (20 mg kg−1), a considerable reduction was observed in dry matter, root length, antioxidant enzymes, and other physiological parameters. The dry matter of plants was also analyzed for nutrient (Fe and Zn) concentrations. Results indicated that Se stress inhibits plant growth. Gas exchange parameters were also found to be decreased under stress conditions, but at a lower Se level (2.5 mg kg−1), improvement in transpiration rate (63.46%), photosynthetic rate (47.47%), and stomatal conductance (54.55%) was observed. The reduction in growth attributes may be due to the high accumulation of Se in roots and the disturbance in gas exchange parameters. However, the principal component analysis revealed that higher Se levels were more hazardous for maize growth and physiological responses as compared to low Se levels.

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“…Based on the soil pH (pH 5.84) in our study (Table 1), the EDTA solution is a suitable chelating reagent for model building. Although these extraction methods developed over more than two decades and the prediction models are usually not universal [24,[39][40][41], current studies still utilize these approaches to develop prediction models for toxic metals in maize, water lettuce, cucumber and pakchoi [42][43][44][45][46].…”

Section: The Development Of Copper Prediction Models For Vegetablesmentioning

confidence: 99%

Copper Toxicity and Prediction Models of Copper Content in Leafy Vegetables

Chiou

Hsu

2019

Sustainability

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Copper (Cu), a toxic metal pollution found in the soil and water of industrialized areas, causes continuous issues for agriculture product contamination and human health hazards. However, information on copper phytotoxicity and its accumulation in vegetables is largely unknown. To evaluate the related agricultural loss and health risks, it is necessary to assess copper phytotoxicity and develop prediction models for copper concentration in vegetables. Here, we assess the growth performance and copper concentration of four leafy vegetables: Water spinach, amaranth, pakchoi, and garland chrysanthemum in copper-contaminated soil. The plant’s height and fresh weight is dramatically reduced when the soil copper concentration is over ~250 mg·kg−1. This yield reduction and copper accumulation are associated with an increase of soil copper concentration, suggesting high copper phytotoxicity levels in plants and soil. The prediction models of plant copper concentration were developed using multiple regressions based on one-step extractions of the soil copper as independent variables. One prediction model derived for amaranth copper using hydrochloric acid (HCl)-extractable and ethylenediaminetetraacetic acid (EDTA)-extractable copper from soil is able to describe 78.89% of the variance in the measured copper. As a result, the phytotoxic copper level for four leafy vegetables is revealed. Although the prediction models may not be universal, the predicted and phytotoxic copper levels are useful tools for evaluating vegetable yield and daily copper intake.

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Modelling of Heavy Metals Concentration in Maize (Zea may L.) Grown in Artificially Contaminated Soil

Cited by 3 publications

References 0 publications

Analysis of Heavy Metals in Soil and Maize Grown around Namungo Gold Mine in Ruangwa District, Lindi Region in Tanzania Using X-ray Fluorescence

Analysis of Heavy Metals in Soil and Maize Grown around Namungo Gold Mine in Ruangwa District, Lindi Region in Tanzania Using X-ray Fluorescence

Influence of Selenium on Growth, Physiology, and Antioxidant Responses in Maize Varies in a Dose-Dependent Manner

Copper Toxicity and Prediction Models of Copper Content in Leafy Vegetables

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