首页|农田土壤芘污染物高效快速检测方法的研究

农田土壤芘污染物高效快速检测方法的研究

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农田中的多环芳烃检测和治理关系到农田土壤环境的质量和居民的粮食安全.以芘为农田多环芳烃代表性污染物,建立超声萃取-高效液相色谱的农田土壤芘含量的检测方法,研究表明农田土壤中芘测定的最佳提取方法为2.00 g土壤样品,以二氯甲烷-正己烷(1︰1,V︰V)混合溶剂作为萃取剂,取10 mL萃取溶剂超声法萃取(50 kHz,40 min)两次,40℃氮吹浓缩.结果表明芘标准曲线线性关系良好,相关系数为0.999 7,检出限为0.54 μg/kg,加标土壤检测,在芘浓度为0.1~50 mg/kg,平均加标回收率为72.55%~89.66%,相对标准偏差为1.68%~4.27%.该方法具有操作简单、耗时少、消耗溶剂量少等优点,对于提高芘污染土壤样品的检测效率、开展农田芘污染修复和治理研究具有实际意义.
Determination of Pyrene in Polluted Soil by Combination of Ultrasonic Extrac-tion and High Performance Liquid Chromatography
The detection and treatment of polycyclic aromatic hydrocarbons in farmland are related to the environ-mental quality of farmland soil and the food security of residents.A method is described for determination of pyrene,a representative pollutant of polycyclic aromatic hydrocarbons in farmland,by high performance liquid chromatogra-phy with ultrasonic extraction.The results showed that the optimal extraction method for the determination of pyrene in farmland soil was 2.00 g soil sample,with dichloromethane-n-hexane(1︰1,V︰V)mixed solvent as the extractant,and 10 mL of extraction solvent was extracted(50 kHz,40 min)sonically twice and concentrated by nitrogen blow-ing at 40 ℃.The results showed that the linear relationship of the pyrene standard curve was good,the correla-tion coefficient was 0.9997,and the detection limit was 0.54 μg/kg.In the range of pyrene concentration of 0.1-50 mg/kg,the average recovery rate of spiked soil was 72.55%-89.66%,and the relative standard deviation was 1.68%-4.27% .This method has the advantages of simple operation,less time-consuming and less solvent consump-tion,and has practical significance for improving the detection efficiency of pyrene contaminated soil samples and carrying out research on the remediation and treatment of pyrene pollution in farmland.

Ultrasonic extractionNitrogen blowing concentrationAgriculture landPyrene

娄飞跃、高璐、李霞、武艳芳、王永丽、蒋建雄

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江苏大学生物质能源研究院环境与安全工程学院,江苏 镇江 212013

超声萃取 氮吹浓缩 农田 土壤

镇江市重点研发计划项目江苏省研究生科研与实践创新项目

SH2022011KYCX22_3610

2024

东北农业科学
吉林省农业科学院

东北农业科学

CSTPCD
影响因子:0.449
ISSN:1003-8701
年,卷(期):2024.49(4)