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激光烧蚀单颗粒气溶胶质谱法直接分析土壤成分进行源解析。

Direct Analysis of Soil Composition for Source Apportionment by Laser Ablation Single-Particle Aerosol Mass Spectrometry.

机构信息

School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China.

Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China.

出版信息

Environ Sci Technol. 2021 Jul 20;55(14):9721-9729. doi: 10.1021/acs.est.0c07983. Epub 2021 Jul 1.

Abstract

Soil has always been the most complex biomaterial on the planet. The rapid determination of the components in the soil and their original source is a prerequisite for soil quality, environmental, and human health risk assessments. In this study, the chemical compositions and source apportionment of surface soil samples collected from five sites in Shanghai, China, were successfully investigated using a laboratory-developed laser ablation single-particle aerosol mass spectrometry (LA-SPAMS) instrument combined with an adaptive resonance theory-based neural network algorithm (ART-2a) data-processing method for the first time. In total, more than 35,000 particles, ranging from 200 to 2000 nm, were sized, and around 15-20% of the particles were chemically analyzed by LA-SPAMS to generate both positive and negative mass spectra. The results show that there are significant differences in particle size distribution among the five samples, with peaks of various sizes and different profiles, while all five soil samples contain crustal elements, heavy metals, organic and inorganic components, and so forth. The chemical composition of each sample varied considerably, so different classes of SPAMS particle classes were identified, which were later grouped into seven general categories: EC-rich (containing elemental carbon), secondary components, organic nitrogen, crust, HM (containing heavy metal), PAH (containing polycyclic aromatic hydrocarbons), and NaK-rich particles, based on the dominant marked ions. The composition analysis and source apportionment showed that soil components in different areas have been affected by the local environment, such as local industrial emissions and automobile exhaust, which are usually characterized by varying degrees of mixing between the crust and environmental aerosols. In combination with the ART-2a method, LA-SPAMS enables rapid and direct analysis of soil samples based on real-time single-particle measurements, which will help in understanding the distribution, transport, and fate of the soil components, thus providing new insights into soil-quality assessment. Moreover, the established LA-SPAMS can also be practically applied to other daily inspection tasks, such as rocks, minerals, metals, ceramics, polymers, and other solid materials for ingredient analysis and quality evaluation.

摘要

土壤一直是地球上最复杂的生物材料。快速确定土壤中的成分及其原始来源是进行土壤质量、环境和人类健康风险评估的前提。本研究首次使用实验室研制的激光烧蚀单颗粒气溶胶质谱仪(LA-SPAMS)结合基于自适应共振理论的神经网络算法(ART-2a)数据处理方法,成功地研究了中国上海五个地点的表层土壤样品的化学成分和来源分配。总共对 200 至 2000nm 范围内的 35000 多个颗粒进行了粒径分析,约 15-20%的颗粒通过 LA-SPAMS 进行了化学分析,生成了正、负离子质谱。结果表明,五个样品的粒径分布存在显著差异,具有各种大小和不同形态的峰值,而所有五个土壤样品都含有地壳元素、重金属、有机和无机成分等。每个样品的化学成分差异很大,因此识别出不同类别的 SPAMS 颗粒类别,后来根据主要标记离子将其分为七个一般类别:富含 EC(含元素碳)、次生成分、有机氮、地壳、HM(含重金属)、PAH(含多环芳烃)和 NaK 富粒子。成分分析和源分配表明,不同地区的土壤成分受到当地环境的影响,例如当地工业排放和汽车尾气,通常表现为地壳与环境气溶胶之间不同程度的混合。结合 ART-2a 方法,LA-SPAMS 能够基于实时单颗粒测量对土壤样品进行快速直接分析,这将有助于了解土壤成分的分布、传输和归宿,从而为土壤质量评估提供新的见解。此外,建立的 LA-SPAMS 还可以实际应用于其他日常检查任务,如岩石、矿物、金属、陶瓷、聚合物和其他用于成分分析和质量评估的固体材料。

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