Literature DB >> 28693113

Multiple factors impact the contents of heavy metals in vegetables in high natural background area of China.

Yandong Gan1, Lihong Wang2, Guiqiang Yang3, Jiulan Dai4, Renqing Wang1, Wenxing Wang1.   

Abstract

A field survey was conducted to investigate the concentrations of chromium (Cr), nickel (Ni), copper (Cu), zinc (Zn), cadmium (Cd) and lead (Pb) in vegetables, corresponding cultivated soils and irrigation waters from 36 open sites in high natural background area of Wuzhou, South China. Redundancy analysis, Spearman's rho correlation analysis and multiple regression analysis were adopted to evaluate the contributions of impacting factors on metal contents in the edible parts of vegetables. This study concluded that leafy and root vegetables had relatively higher metal concentrations and adjusted transfer factor values compared to fruiting vegetables according to nonparametric tests. Plant species, total soil metal content and soil pH value were affirmed as three critical factors with the highest contribution rate among all the influencing factors. The bivariate curve equation models for heavy metals in the edible vegetable tissues were well fitted to predict the metal concentrations in vegetables. The results from this case study also suggested that it could be one of efficient strategies for clean agricultural production and food safety in high natural background area to breed vegetable varieties with low heavy metal accumulation and to enlarge planting scale of these varieties.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adjusted transfer factor; Heavy metal; Multiple regression; RDA; Vegetable

Mesh:

Substances:

Year:  2017        PMID: 28693113     DOI: 10.1016/j.chemosphere.2017.06.072

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  11 in total

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10.  The Structure and Diversity of Nitrogen Functional Groups from Different Cropping Systems in Yellow River Delta.

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