三维校正辅助高效液相色谱快速定量和源解析土壤中苯系物  

Three-dimensional Calibration Combined with High Performance Liquid Chromatography for Rapid Quantifition and Traceability of Monoaromatic Hydrocarbons (MACHs) in Soil

作　　者：朱慧颖 张臻 李学琪 吴欣冉 胡韵宜 彭天英 卢桂英 林海 卿湘东 Zhu Huiying;Zhang Zhen;Li Xueqi;Wu Xinran;Hu Yunyi;Peng Tianying;Lu Guiying;Lin Hai;Qing Xiangdong(Hunan Provincial Key Laboratory of Dark Tea and Jin-hua/College of Materials and Chemical Engineering,Hunan City University,Yiyang 413000,Hunan,China;National Center of Dark Tea Product Quality Inspection and Testing/Yiyang Testing Institute of Product and Commodity Quality Supervision,Yiyang 413000,Hunan,China)

机构地区：[1]湖南城市学院材料与化学工程学院/黑茶金花湖南省重点实验室,湖南益阳413000 [2]益阳市产商品质量监督检验研究院/国家黑茶产品质量检验检测中心(湖南),湖南益阳413000

出　　处：《山地农业生物学报》2025年第2期28-37,共10页Journal of Mountain Agriculture and Biology

基　　金：国家自然科学基金(21707032);国家留学基金(202008430147);湖南省教育厅科学研究基金(21B0720);湖南省大学生创新创业训练计划项目(湘教通[2023]237)。

摘　　要：苯系物是土壤中常见的有机污染物,具有生物毒性甚至强致癌性。本研究借助化学计量学三维校正算法强大的谱图分辨能力和“二阶优势”,在干扰共存及色谱峰和光谱曲线严重重叠的情况下,实现了土壤中乙苯(EBZ)、邻二甲苯(OXY)、间二甲苯(MXY)、1,2,4-三甲苯(UTB)和1,3,5-三甲苯(MTY)的同时、快速和准确定量分析。采用交替三线性分解算法(ATLD)获得土壤中五种苯系物的平均回收率在(95.0±1.3)%至(102.5±4.5)%之间;预测均方根误差在0.92~24.93μg/mL之间;检测下限在0.061~1.060μg/mL之间。这些结果表明,发展的方法性能优良。接着采用发展的方法对7个茶园土壤样和60个工业区土壤样进行解析,在两类土壤样中均未检出OXY、MXY和MTY,但检测到EBZ和UTB。最后采用主成分分析(PCA)对ATLD获得的相对浓度矩阵进行解析,发现两类土壤有很好的区分度,说明其有机污染来源不同,推测茶园土壤中EBZ和UTB可能来源于农业活动,如喷施农药、堆肥和施肥等,而工业区土壤中EBZ和UTB则可能来源于汽车尾气、煤炭燃烧和石油泄漏等。该方法简单、快速、绿色、环保,有望发展成为一种很有潜力的土壤苯系物快速定量和源解析方法。Monoaromatic hydrocarbons(MACHs)are a class of widely distributed organic pollutants in soil,which are biologically toxic and even highly carcinogenic to human and organisms.This research,leveraging the excellent spectral resolution capability and“second-order advantage”of the chemometrics three-dimensional calibration algorithm,achieved simultaneous,rapid,and accurate quantitative analysis of ethylbenzene(EBZ),o-xylene(OXY),m-xylene(MXY),1,2,4-trimethylbenzene(UTB),and 1,3,5-trimethylbenzene(MTY)in soil,even in the presence of interference as well as severe overlap of chromatographic peaks and spectral profiles.The obtained average recovery rates of the five MACHs in soil samples by alternating trilinear decomposition algorithm(ATLD)were between(95.0±1.3)%and(102.5±4.5)%.the root mean square errors of prediction(R MSEPs)ranged from(0.92 to 24.93)μg/mL,with the limits of detection(L OD)of between(0.061~1.060)μg/mL.These results indicated the developed method had the excellent performance.Subsequently,the developed method was applied to analyze actual soil samples from tea plantations(7 samples)and industrial areas(60 samples),revealing the absence of OXY,MXY and MTY in both types of soil samples,but the presence of EBZ and UTB.Finally,principal component analysis(PCA)was used to analyze the relative concentration matric obtained by ATLD,showing good discrimination between the two types of soil,indicating different sources of organic pollution.It was speculated that EBZ and UTB in tea plantation soil may originate from agricultural activities such as pesticides application,composting,and fertilization,while EBZ and UTB in industrial area soil may originate from automobile exhaust,coal combustion,and petroleum leakage.This method is simple,rapid,green and environmentally friendly,and is expected to develop into a very promising method for rapid quantification and source analysis of MACHs in soils.

关 键 词：三维校正 高效液相色谱 苯系物 ATLD PCA 

分 类 号：X830.2[环境科学与工程—环境工程]