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作 者:冯博鑫 门倩妮 甘黎明 魏立勇 刘玖芬 何涛 王鹏[1] 贺怡欣 FENG Boxin;MEN Qianni;GAN Liming;WEI Liyong;LIU Jiufen;HE Tao;WANG Peng;HE Yixin(Xi’an Center of Mineral Resources Survey,China Geological Survey,Xi’an 710100,China;Natural Resources Comprehensive Survey Command Center,China Geological Survey,Beijing 100055,China;China University of Geoscience(Beijing),Beijing 100083,China)
机构地区:[1]中国地质调查局西安矿产资源调查中心,陕西西安710100 [2]中国地质调查局自然资源综合调查指挥中心,北京100055 [3]中国地质大学(北京),北京100055
出 处:《岩矿测试》2024年第1期166-176,共11页Rock and Mineral Analysis
基 金:自然资源部生态地球化学重点实验室开放基金项目(ZSDHJJ202303);自然资源综合调查指挥中心科技创新基金项目(KC20220023)。
摘 要:氟在人体生长发育和骨骼代谢中起着重要作用,近年来通过饮茶摄入氟与人体健康的关系受到较大关注。本文以大巴山区紫阳县茶园土壤为研究对象,采集64组茶园土壤和对应茶叶样品,测定土壤理化性质、土壤氟形态、茶叶氟含量,通过多元回归分析建立了影响大巴山区茶叶氟含量的Freundlich模型,并检验了模型的预测精度。结果显示:①研究区茶园表层土壤氟含量范围为487.37~1120.78mg/kg,平均值为730.63mg/kg;研究区茶叶氟含量为31.23~112.49mg/kg,平均值为57.58mg/kg,所有样品均未超过农业标准(NY659-2003)限值;②研究区茶园土壤氟的形态分布为:残渣态>水溶态>有机态>铁锰结合态>可交换态,水溶态氟含量范围为5.27~23.15mg/kg,平均值为9.72mg/kg,远高于中国地氟病发生区水溶态氟的平均含量2.5mg/kg,说明研究区存在一定生态风险。土壤水溶态氟与茶叶氟含量有显著相关性(n=64,r=0.82,p<0.01),其余形态与茶叶氟含量无显著相关性;③以水溶态氟、CEC、交换性铝、有机质、pH五个因子为变量,构建了影响茶叶氟含量的多元回归方程,采用Freundlich模型预测茶叶氟含量,该模型可以解释86.0%的变异,通过验证模型的预测精度达到88.0%,总体来说预测效果较好。本研究结合土壤理化性质、土壤氟形态数据构建了预测茶叶氟的模型,并达到可靠程度,可以为紫阳地区及相似地区茶叶氟生态风险评价、指导绿色农业发展提供理论依据。In recent years,the relationship between fluorine intake through tea drinking and human health has received significant attention.To investigate the effect of soil properties on tea fluorine,64 sets of tea garden soil-tea samples were collected in Ziyang County,Daba Mountain area,and a Freundlich model that affects the fluorine content of tea was established.The results show that:(1)The fluorine content in the surface soil of tea gardens ranges from 487.37 to 1120.78mg/kg,with an average value of 730.63mg/kg;The fluorine content of tea is 31.23-112.49mg/kg,with an average value of 57.58mg/kg.All samples do not exceed the limit of agricultural standards(NY659—2003);(2)The distribution of fluorine speciation in the soil is as follows:residual state>water-soluble state>organic state>iron manganese bound state>exchangeable state;(3)A multiple regression equation affecting the fluorine content in tea was constructed using five factors:water-soluble fluorine,CEC,exchangeable aluminum,organic matter,and pH as variables.The model can explain 86.0%of the variation,and the prediction accuracy of the model reached 88.0%through validation.This study can provide theoretical basis for the development of green agriculture.
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