Department of Genetic Engineering and Biotechnology, Jessore University of Science and Technology, Jessore, 7408, Bangladesh.
Department of Nutrition and Food Technology, Jessore University of Science and Technology, Jessore, 7408, Bangladesh.
Environ Monit Assess. 2018 Mar 8;190(4):201. doi: 10.1007/s10661-018-6577-7.
In this research, heavy metal accumulation pattern was investigated using the data measured from the soil, paddy plants, and irrigation water samples in Jessore district in Bangladesh with the aid of principal component analysis. A total of 28 samples representing farmland soil and irrigation water along with paddy plant were collected from 28 locations in the Jessore district in November 2016. In agricultural soil, arsenic (As) and nickel (Ni) were found 2.78 and 1.11 times more concentrated than their background values. In addition, 89% of the sample sites exhibited enhanced As concentrations relative to the background value. Principal component analysis (PCA) of soil data showed strong homogeneity in many species (e.g., Ni, Cu, Fe, and As) to reflect intense agricultural activities. In contrast, Pb showed no such homogeneity in soil accumulation pattern. In plant samples, Cu, Fe, and As were strongly correlated and homologous. This homology of pollution was in agreement with the pollution homology in the agricultural soil in which the plants were grown. In irrigation water, Cu and Ni were homologous. Observation of spatial distribution and other variables indicated that the accumulation of any particular metal in paddy plants was correlated with its content in soil and irrigation water, which was influenced by the soil organic matter, soil/water pH, and other metals present in that environment.
在这项研究中，我们借助主成分分析（Principal Component Analysis），对孟加拉国杰索尔（Jessore）地区的土壤、稻田植物和灌溉水样本中的重金属积累模式进行了研究。2016 年 11 月，我们从杰索尔地区的 28 个地点共采集了 28 个农田土壤和灌溉水样本以及稻田植物样本。在农业土壤中，砷（As）和镍（Ni）的浓度分别是其背景值的 2.78 倍和 1.11 倍。此外，89%的采样点的砷浓度均高于背景值。对土壤数据进行的主成分分析（PCA）表明，许多物种（如 Ni、Cu、Fe 和 As）在土壤中具有很强的同质性，反映了强烈的农业活动。相比之下，土壤中 Pb 的积累模式则没有表现出这种同质性。在植物样本中，Cu、Fe 和 As 之间存在很强的相关性和同源性。这种污染同源性与种植这些植物的农业土壤中的污染同源性一致。在灌溉水中，Cu 和 Ni 具有同源性。观察空间分布和其他变量表明，水稻植物中任何特定金属的积累与其在土壤和灌溉水中的含量相关，而这又受到土壤有机质、土壤/水 pH 值以及环境中存在的其他金属的影响。
