Kumar Vinod, Sharma Anket, Dhunna Geeta, Chawla Amit, Bhardwaj Renu, Thukral Ashwani Kumar
Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, Punjab, 143005, India.
High Altitude Biology Division, CSIR Institute of Himalayan Bioresource Technology (Council for Scientific and Industrial Research), Palampur, Himachal Pradesh, 176061, India.
Environ Sci Pollut Res Int. 2017 Jan;24(3):2210-2260. doi: 10.1007/s11356-016-7747-1. Epub 2016 Oct 10.
Plants are a rich source of elements, and knowledge of their elemental composition determines their use for various purposes, especially for food and medicine. Therefore, it is necessary to create a database of the elemental composition of plants. The present review focuses on the concentration of various heavy metals as reported by various workers from time to time by using different sophisticated techniques. Cluster analysis was applied on the basis of mean values of heavy metals in plants. Co, Cu, and Cr have similar proximities. Cluster analysis was also applied to different families on the basis of their heavy metal contents. Elaeagnaceae, Adoxaceae, Thymelaeaceae, Cupressaceae, and Acoraceae had close proximities with each other. First three components of principal component analysis explained 95.7 % of the total variance. Factor analysis explained four underlying factors for heavy metal analysis. Factor 1 explained for 26.5 % of the total variance and had maximum loadings on Co, Cu, and Cr. Of the total variance, 21.7 % was explained by factor 2 and had maximum loadings on Zn and Cd. Factor 3 accounted for 19.2 % of the total variance and had maximum loadings on Ni and Pb. Mn had maximum loading on factor 4. The mean values of heavy metals as listed in this paper are Cu (18.7 μg/g dw), Mn (99.67 μg/g dw), Cr (22.9 μg/g dw), Co (19.7 μg/g dw), As (1.25 μg/g dw), Hg (0.17 μg/g dw), Zn (94.0 μg/g dw), Pb (6.93 μg/g dw), Cd (26.9 μg/g dw), Ni (19.9 μg/g dw), and Sb (0.25 μg/g dw).
植物是元素的丰富来源,了解其元素组成决定了它们在各种用途中的应用,特别是在食品和医药方面。因此,有必要创建一个植物元素组成数据库。本综述聚焦于不同研究人员不时使用不同精密技术所报告的各种重金属浓度。基于植物中重金属的平均值进行了聚类分析。钴、铜和铬具有相似的相近性。还基于不同科的重金属含量对它们进行了聚类分析。胡颓子科、五福花科、瑞香科、柏科和菖蒲科彼此之间具有相近性。主成分分析的前三个成分解释了总方差的95.7%。因子分析解释了重金属分析的四个潜在因子。因子1解释了总方差的26.5%,在钴、铜和铬上具有最大载荷。总方差的21.7%由因子2解释,在锌和镉上具有最大载荷。因子3占总方差的19.2%,在镍和铅上具有最大载荷。锰在因子4上具有最大载荷。本文列出的重金属平均值为:铜(18.7μg/g干重)、锰(99.67μg/g干重)、铬(22.9μg/g干重)、钴(19.7μg/g干重)、砷(1.25μg/g干重)、汞(0.17μg/g干重)、锌(94.0μg/g干重)、铅(6.93μg/g干重)、镉(26.9μg/g干重)、镍(19.9μg/g干重)和锑(0.25μg/g干重)。