土壤特性对中国龙岩烟叶中铅、镉和铜含量的影响及其预测模型

IF 1.5 4区 化学 Q3 CHEMISTRY, ANALYTICAL International Journal of Analytical Chemistry Pub Date : 2023-12-28 DOI:10.1155/2023/9216995
Wei Xi, YuanYe Ping, HaiYang Cai, Qian Tan, Chaoyang Liu, Junru Shen, YaWen Zhang
{"title":"土壤特性对中国龙岩烟叶中铅、镉和铜含量的影响及其预测模型","authors":"Wei Xi, YuanYe Ping, HaiYang Cai, Qian Tan, Chaoyang Liu, Junru Shen, YaWen Zhang","doi":"10.1155/2023/9216995","DOIUrl":null,"url":null,"abstract":"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. 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The prediction models above provide an effective predictive tool for assessing heavy metal risk in tobacco leaves using soil properties in the study area.","PeriodicalId":13888,"journal":{"name":"International Journal of Analytical Chemistry","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of Soil Properties on Pb, Cd, and Cu Contents in Tobacco Leaves of Longyan, China, and Their Prediction Models\",\"authors\":\"Wei Xi, YuanYe Ping, HaiYang Cai, Qian Tan, Chaoyang Liu, Junru Shen, YaWen Zhang\",\"doi\":\"10.1155/2023/9216995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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. 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The prediction models above provide an effective predictive tool for assessing heavy metal risk in tobacco leaves using soil properties in the study area.\",\"PeriodicalId\":13888,\"journal\":{\"name\":\"International Journal of Analytical Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Analytical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/9216995\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1155/2023/9216995","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

摘要

福建省龙岩市是中国优质烟叶产区之一,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的相关性,采用相关回归法测定并分析了土壤理化性质和烟叶中铅、镉、铜等重金属含量。采用盐酸萃取-原子吸收光谱法和石墨炉原子吸收光谱法测定了土壤中铅、镉和铜的含量。采用电感耦合等离子体质谱法测定了烟叶中的重金属含量。结果显示,土壤中铅、镉和铜的平均浓度分别为 12.1、0.092 和 3.88 毫克/千克。而烟叶中铅、镉和铜的平均含量分别为 2.33、4.89 和 4.35 毫克/千克。镉的富集系数为 54.3,高于铅和铜,表明对健康的风险更大。土壤 pH 值与烟叶中的铅含量呈负相关,而钾和磷营养水平与铜含量呈负相关。相反,有机物的存在与烟叶中的镉含量呈正相关。烟叶中铅、镉和铜含量的预测模型可以用各重金属对应的回归方程表示如下: (分别为( = 0.787)、( = 0.891)和( = 0.724)。上述预测模型为利用研究区域的土壤特性评估烟叶重金属风险提供了有效的预测工具。
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Effects of Soil Properties on Pb, Cd, and Cu Contents in Tobacco Leaves of Longyan, China, and Their Prediction Models
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: ( = 0.787), ( = 0.891), and ( = 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.
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
117
期刊介绍: International Journal of Analytical Chemistry publishes original research articles that report new experimental results and methods, especially in relation to important analytes, difficult matrices, and topical samples. Investigations may be fundamental, or else related to specific applications; examples being biological, environmental and food testing, and analysis in chemical synthesis and materials processing. As well as original research, the International Journal of Analytical Chemistry also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.
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