首页|微波消解-ICP-MS法测定六安市栽培种茶树的10种元素

微波消解-ICP-MS法测定六安市栽培种茶树的10种元素

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[目的]利用电感耦合等离子体质谱法(ICP-MS)对六安市当地茶树栽培种进行多元素测定,探究当地茶树中的元素含量及地区差异.[方法]采集茶树第二叶进行微波烘干,称量后微波消解并定容,利用ICP-MS法进行10种元素含量的测定.[结果]各元素线性关系良好(R2≥0.996 7),方法检出限为0.003~47.910 mg/kg.各元素含量相对标准偏差(RSD)为0.06%~9.79%.总的来看,六安市茶叶中钾、钙、镁含量较高,锰、铝、钠、铁次之,锌、铜、硒含量较低.在不同地区的茶叶中,金安区毛坦厂镇的钾、镁、锌含量最高,霍山县诸佛庵镇的钙含量最高,金寨县麻埠镇的锰含量最高,金寨县油坊店乡的铝、铁含量最高,裕安区独山镇的钠含量最高,舒城县舒茶镇的铜、硒含量最高.[结论]六安市当地栽培种茶树的多元素含量具有地区差异性,该研究结果为六安市日后的茶树育种和产品质量控制提供了理论参考.
Determination of 10 Elements in Lu'an Cultivated Tea Plants by Microwave Digestion-ICP-MS
[Objective]Inductively coupled plasma mass spectrometry(ICP-MS)was used to determine the multi-elements of tea plants in Lu'an City,and to explore the element content and regional differences in local tea plants.[Method]The second leaf of tea tree was collected for microwave drying,weighed and digested by microwave,and the content of 10 elements was determined by ICP-MS.[Result]The linear re-lationship of each element was good(R2≥0.996 7),and the detection limit of the method was 0.003-47.910 mg/kg.The relative standard deviation of each element content was 0.06%-9.79%.In general,the content of K,Ca and Mg in Lu'an tea plants was higher,followed by Mn,Al,Na and Fe,the content of Zn,Cu and Se was lower.Among the tea in different regions,the content of K,Mg and Zn in Maotanchang Town,Jin'an District was the highest,the Ca content in Zhufoan Town,Huoshan County was the highest,the Mn content in Mabu Town,Jinzhai County was the highest,the Al and Fe content in Youfangdian Township,Jinzhai County was the highest,the Na content in Dushan Town,Yu'an District was the highest,the Cu and Se content in Shucha Town,Shucheng County was the highest.[Conclusion]The multi-ele-ment content of tea plants in Lu'an City has regional differences.The research results provide a theoretical reference for future tea breeding and product quality control in Lu'an City.

Tea plantMicrowave digestionICP-MSElement contentLu'an area

郭锐、闫航滨、赵敬娟、文洋洋、胡玮炜

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六安市产品质量监督检验所,安徽六安 237008

茶树 微波消解 ICP-MS 元素含量 六安地区

六安市科技计划备案项目

2024

安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
年,卷(期):2024.52(3)
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