首页|微波消解-电感耦合等离子体质谱法测定有机肥中镉、砷、汞、铅、铬含量

微波消解-电感耦合等离子体质谱法测定有机肥中镉、砷、汞、铅、铬含量

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采用电感耦合等离子体质谱法(ICP-MS)测定,比较湿法消解 30 min,湿法消解至近干和微波消解等不同前处理方法对有机肥料中镉、砷、汞、铅、铬元素的提取效果,建立了一种基于ICP-MS测定有机肥料多种重金属元素含量的方法。结果表明:湿法消解至近干和微波消解法对有机肥多元素成分分析标准物质(RMH-F001)中 5 项重金属含量的测试结果均满足标准要求,方法定量值、标准值偏差分别低于 6。3%、5。7%;硝酸/过氧化氢体系-微波消解处理下,样品结果稳定性最佳,相对标准偏差为 0。8%~6。8%,相对偏差为 1。1%~9。0%,相对相差为 2。2%~18。0%,加标回收率为 99。4%~102。9%。硝酸/过氧化氢体系-微波消解-ICP-MS法可作为有机肥中 5 项重金属统一化测定的常规方法。
Determination of cadmium,arsenic,mercury,lead and chromium in organic fertilizer by microwave digestion combined with inductively coupled plasma mass spectrometry
Inductively couple plasma mass spectrometry(ICP-MS)was used to compare the extraction effects of wet digestion for 30 min,wet digestion to near-dry and microwave digestion on cadmium,arsenic,mercury,lead and chromium from organic fertilizers,and a method for the determination of multiple heavy metal elements from organic fertilizers for the unified measurement by ICP-MS was established.The results indicated that after the wet digestion to near-dry digestion and microwave digestion,the method quantification and standard value deviation of five heavy metals content in standard material for multielement composition analysis of organic fertilizer(RMH-F001)from standard value were less than 6.3%and 5.7%,respectively,and the estimated values were in line with the standard value range.The stability of data under the treatment of microwave digestion with nitric acid-hydrogen peroxide system was the best,the relative standard deviation was 0.8%-6.8%,the relative deviation was 1.1%-9.0%,relative difference values was 2.2%-18.0%and the standard addition recoveries was 99.4%-102.9%.The microwave digestion combined with ICP-MS could be used as a conventional method for the unified measurement of five heavy metals in organic manure.

wet digestionmicrowave digestionheavy metalorganic fertilizerunified detection

官迪、陈山、田发祥、纪雄辉、龙世平、吴家梅

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湖南省农业科学院/农业农村部长江中游平原农业环境重点实验室/农田土壤重金属污染防控与修复湖南省重点实验室,湖南 长沙 410125

湿法消解 微波消解 重金属 有机肥 统一化测定

国家重点研发计划湖南省重点研发计划湖南省农业科技创新资金项目

2022YFD17001052021NK20292017QN33

2024

中国土壤与肥料
中国农业科学院农业资源与农业区划研究所 中国植物营养与肥料学会

中国土壤与肥料

CSTPCD北大核心
影响因子:1.197
ISSN:1673-6257
年,卷(期):2024.(1)
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