Xi Wei, Ping YuanYe, Cai HaiYang, Tan Qian, Liu Chaoyang, Shen Junru, Zhang YaWen
College of Primary Education, Zhengzhou Normal University, Zhengzhou 450044, China.
Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.
Int J Anal Chem. 2023 Dec 28;2023:9216995. doi: 10.1155/2023/9216995. eCollection 2023.
Longyan City in Fujian Province is one of China's top-quality tobacco-producing areas and plays an essential role in local economic development. To determine the correlation between heavy metal content in tobacco leaves and soil factors, soil physical and chemical properties and heavy metal contents of lead, cadmium, and copper in tobacco leaves were measured and analyzed by the correlation regression method. The content of lead, cadmium, and copper in soil was determined using hydrochloric acid extraction-AAS and graphite furnace atomic absorption spectrometry. Inductively coupled plasma-mass spectrometry was used to determine heavy metal in tobacco leaf. The findings revealed that the average concentrations of lead, cadmium, and copper in the soil were 12.1, 0.092, and 3.88 mg/kg, respectively. In contrast, the average levels of lead, cadmium, and copper in tobacco leaves were 2.33, 4.89, and 4.35 mg/kg, respectively. The cadmium enrichment coefficient of 54.3 was higher than lead and copper, indicating a greater health risk. Soil pH value was negatively correlated with lead content in tobacco leaf, while potassium and phosphorus nutrient levels were negatively correlated with copper content. In contrast, a positive correlation was established between the presence of organic matter with cadmium content in tobacco leaves. The prediction models of lead, cadmium, and copper in tobacco leaves can be expressed by the regression equation corresponding to each heavy metal as follows: =2.33 - 0.005 +0.007 - 0.271+0.065 ( = 0.787), =1.55+0.012 - 0.014+34.6 ( = 0.891), and =4.64 - 0.029 - 0.007+0.245 ( = 0.724), respectively. The prediction models above provide an effective predictive tool for assessing heavy metal risk in tobacco leaves using soil properties in the study area.
福建省龙岩市是中国优质烤烟产区之一，在当地经济发展中发挥着重要作用。为了确定烟叶中重金属含量与土壤因子之间的相关性，采用相关回归法对土壤理化性质及烟叶中铅、镉、铜的重金属含量进行了测定与分析。土壤中铅、镉、铜的含量采用盐酸提取-原子吸收光谱法和石墨炉原子吸收光谱法测定。电感耦合等离子体质谱法用于测定烟叶中的重金属。结果表明，土壤中铅、镉、铜的平均含量分别为12.1、0.092和3.88mg/kg。相比之下，烟叶中铅、镉、铜的平均含量分别为2.33、4.89和4.35mg/kg。镉的富集系数为54.3，高于铅和铜，表明健康风险更大。土壤pH值与烟叶中铅含量呈负相关，而钾、磷养分水平与铜含量呈负相关。相比之下，土壤有机质含量与烟叶中镉含量呈正相关。烟叶中铅、镉、铜的预测模型可以用各重金属对应的回归方程表示如下：=2.33 - 0.005 +0.007 - 0.271+0.065（=0.787），=1.55+0.012 - 0.014+34.6（=0.891），=4.64 - 0.029 - 0.007+0.245（=0.724）。上述预测模型为利用研究区土壤性质评估烟叶重金属风险提供了有效的预测工具。
