Environment Research Institute, Shandong University, Jinan, 250100, China.
Shandong Analysis and Test Center, Shandong Academy of Sciences, Jinan, 250014, China.
Chemosphere. 2017 Oct;184:1388-1395. doi: 10.1016/j.chemosphere.2017.06.072. Epub 2017 Jun 18.
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.
在中国南方天然高本底地区的梧州市，36 个露天场地的蔬菜、相应的栽培土壤和灌溉水中铬（Cr）、镍（Ni）、铜（Cu）、锌（Zn）、镉（Cd）和铅（Pb）的浓度进行了实地调查。采用冗余分析、Spearman's rho 相关分析和多元回归分析来评估影响因素对蔬菜可食用部分金属含量的贡献。本研究通过非参数检验得出，与果菜类蔬菜相比，叶菜类和根菜类蔬菜的金属浓度和调整后的转移系数值相对较高。植物种类、土壤中重金属的总量和土壤 pH 值被确定为所有影响因素中贡献最高的三个关键因素。可食用蔬菜组织中重金属的二元曲线方程模型很好地拟合了预测蔬菜中金属浓度的模型。该案例研究的结果还表明，在天然高本底地区，培育低重金属积累的蔬菜品种并扩大这些品种的种植规模，可能是清洁农业生产和食品安全的有效策略之一。
