Atomic spectrometry update – a review of advances in environmental analysis

IF 3.1 2区 化学 Q2 CHEMISTRY, ANALYTICAL
Warren R. L. Cairns, Owen T. Butler, Olga Cavoura, Christine M. Davidson, José-Luis Todolí-Torró and Marcus von der Au
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Abstract

Highlights in the field of air analysis included: a new focus on measuring micro- and nanoplastic particles in air, the development of hyphenated ICP-MS systems for in situ sampling and measurement of airborne metallic particles and the reported use of wearable black carbon sensors for measuring exposure to diesel fumes within the workplace. Significant advancements in the analysis of waters have been made in developing novel resin materials and new protocols for existing commercially available resins, aimed at the determination and speciation of trace levels of metals and metalloids in water matrices. These developments have been validated for sample purification and pre-concentration. In addition to traditional column chemistry, on-line hyphenated techniques were employed to enhance speciation analysis, with optimized methods enabling faster analysis and facilitating a more holistic approach by allowing the simultaneous detection of multiple species or elements in a single run. Efforts have also been directed towards detecting particles in the micro- and nanometer range, broadening the analytical scope beyond the ionic fraction. This year, the focus shifted from natural and engineered nanoparticles towards the critical field of plastic pollution, with several innovative methodologies introduced. Furthermore, to achieve better precision and lower detection limits in the field of MS/MS, numerous studies explored the behaviour of gases and reactions within reaction cells, contributing to the refinement of these techniques. In the analysis of soils and plants, methods aimed at improving the efficiency of green solvents were again prominent. Developments in AES were largely driven by the desire to create small, low-cost, low-power-consumption instrumentation suitable for field deployment. The study of NPs in soil and plant systems continued to be a focus for sp-ICP-MS. The past year has again seen a large volume of publications featuring LIBS, with particular interest in methods to enhance signal intensity and thereby improve limits of detection. Of interest in XRF was the development of in-house spectrometers for underwater mercury screening and in vivo plant analysis. Developments in geological analysis include new homogeneous natural and synthetic materials that have been developed as reference materials (RMs) in the analysis of geological samples by microanalytical techniques, such as LA-ICP-MS, LIBS and SIMS. Additional information on already existing RMs has been obtained for in situ isotope ratio determinations. Attention has been paid to sample preparation and purification methods able to shorten the analysis time and to improve the accuracy. Much attention has been paid to the use of LA-ICP-MS/MS as a means for removing spectral interferences in the case of in situ localized isotopic analysis and dating of geological materials. The development of new chemometric models as well as software has continued to improve data quality. The use of artificial intelligence is growing and techniques such as machine learning have led to significant improvements in the quality of geochemical results.

Abstract Image

原子光谱法的最新进展——环境分析的进展综述
空气分析领域的亮点包括:测量空气中微塑料和纳米塑料颗粒的新重点,用于现场采样和测量空气中金属颗粒的连字符ICP-MS系统的开发,以及报告使用可穿戴黑碳传感器测量工作场所内柴油烟雾的暴露。在开发新型树脂材料和现有市售树脂的新方案方面,水分析取得了重大进展,旨在确定水基质中痕量金属和类金属的含量和形成。这些发展已被用于样品纯化和预浓缩。除了传统的色谱柱化学外,在线连字符技术还用于加强物种形成分析,优化的方法可以更快地分析,并通过一次运行同时检测多种物种或元素,从而促进更全面的方法。人们还致力于在微观和纳米范围内检测颗粒,将分析范围扩大到离子部分以外。今年,重点从天然和工程纳米颗粒转移到塑料污染的关键领域,引入了几种创新方法。此外,为了在质谱/质谱领域实现更高的精度和更低的检测限,许多研究探索了反应细胞内气体和反应的行为,有助于改进这些技术。在土壤和植物的分析中,旨在提高绿色溶剂效率的方法再次受到重视。AES的发展在很大程度上是由于人们希望创造适合现场部署的小型、低成本、低功耗仪器。土壤和植物系统中NPs的研究一直是sp-ICP-MS研究的重点。在过去的一年里,我们再次看到了大量以LIBS为特色的出版物,特别是对增强信号强度从而提高检测极限的方法感兴趣。对XRF感兴趣的是开发用于水下汞筛选和体内植物分析的内部光谱仪。地质分析的发展包括新的均质天然和合成材料,这些材料已被开发为微量分析技术分析地质样品的参考物质(RMs),如LA-ICP-MS, LIBS和SIMS。已获得关于现有均方根的额外资料,用于原位同位素比率测定。人们已经注意到能够缩短分析时间和提高准确性的样品制备和纯化方法。LA-ICP-MS/MS作为一种消除光谱干扰的方法,在地质材料的原位定位同位素分析和定年中得到了广泛的关注。新的化学计量模型和软件的发展不断提高数据质量。人工智能的使用正在增长,机器学习等技术已经显著提高了地球化学结果的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
26.50%
发文量
228
审稿时长
1.7 months
期刊介绍: Innovative research on the fundamental theory and application of spectrometric techniques.
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