Analytical data on major and trace elements concentrations in lake sediments are frequently applied in a wide range of limnological, paleolimnological, and environmental studies. Conventionally applied methods are characterized by time‐consuming, expensive, and (or) hazardous sample preparation. The proposed express method of simultaneous multi‐element determination in lake sediments by laser ablation inductively coupled plasma mass‐spectrometry (LA‐ICP‐MS) of pressed powdered pellets comprises a minimal sample preparation, special laser sampling, and calibration strategy aimed at overcoming the problems of the sample heterogeneity and application of non‐matrix‐matched external standards. The optimal sampling strategy, providing the best precision results for our simply pressed powdered pellets, was line scanning ablation with a rate of 10 μm s⁻¹, a laser spot size of 110 μm and a fluence of 8–9 J cm⁻². Calibration strategy including external and internal standardization ensured the best precision (<5–10% RSD) and accuracy (within 1–20% of reference values) even with non‐matrix‐matched external standards (GSD‐1g, NIST SRM 612). In comparison with solution ICP‐MS, the method recovered significantly higher range of analytes including 10 major and 49 trace elements and ensured a better accuracy of Zr, Hf, Ti, Nb, Ta, Sn, and Sb measurements. Application of the method to the Urals lake sediments (n = 32) showed that LA‐ICP‐MS results for most trace elements where within 1–30% of the solution ICP‐MS data.

中文翻译：

---

激光烧蚀质谱法（LA‐ICP‐MS）快速测定湖泊沉积物中的多元素

关于湖泊沉积物中主要和微量元素浓度的分析数据经常用于广泛的湖泊学，古湖泊学和环境研究。常规应用的方法的特点是耗时，昂贵和（或）危险的样品制备。拟议中的压制粉末颗粒的激光消融电感耦合等离子体质谱法（LA-ICP-MS）同时测定湖泊沉积物中多种元素的快速方法包括最少的样品制备，特殊的激光采样以及旨在克服上述问题的校准策略。样品异质性的问题以及非基质匹配的外部标准的应用。最佳采样策略是为我们简单压制的粉状颗粒提供最佳精度结果，是线扫描消融，速率为10μ米每秒^-1，110的激光光斑尺寸 μ m和8-9Ĵ厘米的注量^-2。即使采用非矩阵匹配的外部标准（GSD-1g，NIST SRM 612），包括外部和内部标准化在内的校准策略也可确保最佳的精度（RSD <5-10％）和准确性（参考值的1-20％）。与溶液ICP-MS相比，该方法可回收更大范围的分析物，包括10种主要元素和49种痕量元素，并确保Zr，Hf，Ti，Nb，Ta，Sn和Sb的测量精度更高。该方法对乌拉尔湖沉积物（n = 32）的应用表明，对于大多数痕量元素，LA-ICP-MS结果均在溶液ICP-MS数据的1％至30％之内。