Journal of Analytical Atomic Spectrometry最新文献

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Determination of ultra-trace level krypton concentration in high-purity nitrogen using a static vacuum mass spectrometer 利用静态真空质谱仪测定高纯氮中的超痕量氪浓度
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-08-12 DOI: 10.1039/D4JA00245H
Sui Fang, Zhiming Li, Yedong Guan, Jiang Xu, Meng Li, Tai Kang, Wei Wang and Guanyi Wei
{"title":"Determination of ultra-trace level krypton concentration in high-purity nitrogen using a static vacuum mass spectrometer","authors":"Sui Fang, Zhiming Li, Yedong Guan, Jiang Xu, Meng Li, Tai Kang, Wei Wang and Guanyi Wei","doi":"10.1039/D4JA00245H","DOIUrl":"10.1039/D4JA00245H","url":null,"abstract":"<p >Uncovering the nature of dark matter microscopic particles is one of the most important disciplinary goals of physics and astronomy in the 21st century, and how to reduce background signals and environmental interference in dark matter experiments is one of the key factors to improve the sensitivity of the detector and to take the lead in obtaining significant detection results. High-purity nitrogen, as a crucial gas for detector purging, scintillator purification and pipe cleaning, among other things, contains the radioactive gases <small><sup>85</sup></small>Kr and <small><sup>81</sup></small>Kr in natural Kr, which emit β-rays that can interfere with the detection of dark matter signals. Therefore, it is necessary to measure the concentration of ultra-trace level Kr in high-purity nitrogen, and screen high-purity nitrogen complying with the standard for use in dark matter experiments. This study develops a novel analytical method to determine ultra-trace level Kr in high-purity nitrogen using a static noble gas mass spectrometer coupled with a newly designed sample processing system. A large amount of reactive gases from the original sample are removed by the large-volume high-temperature purification device, and then we explore a simple and iterative trapping method for Ar–Kr separation. This method improves the noble gas separation factor with the promise of ensuring recovery. The separated Kr is fed into a static vacuum mass spectrometer. The detection limit of this method for natural Kr is as low as 10<small><sup>−14</sup></small> L L<small><sup>−1</sup></small> with an uncertainty of about 8%.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 10","pages":" 2471-2479"},"PeriodicalIF":3.1,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cavity-constrained LIBS combined with the gray wolf optimization algorithm for optimizing bidirectional long short-term memory (GWO-BiLSTM) networks for classification prediction of different brands of cigarettes 空腔约束 LIBS 与优化双向长短期记忆网络(GWO-BiLSTM)的灰狼优化算法相结合,用于不同品牌香烟的分类预测
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-08-09 DOI: 10.1039/D4JA00143E
Junjie Chen, Xiaojian Hao, Biming Mo, Shuaijun Li, Junjie Ma, Xiaodong Liang, Zheng Wang and Heng Zhang
{"title":"Cavity-constrained LIBS combined with the gray wolf optimization algorithm for optimizing bidirectional long short-term memory (GWO-BiLSTM) networks for classification prediction of different brands of cigarettes","authors":"Junjie Chen, Xiaojian Hao, Biming Mo, Shuaijun Li, Junjie Ma, Xiaodong Liang, Zheng Wang and Heng Zhang","doi":"10.1039/D4JA00143E","DOIUrl":"10.1039/D4JA00143E","url":null,"abstract":"<p >As a kind of plant with complex chemical composition, the different compositions of tobacco determine the quality of tobacco, which in turn determines the quality of its cigarette products, so high-precision and rapid identification of different brands of cigarettes is of great significance for combating the market of counterfeit and shoddy cigarettes and safeguarding people's life and health. Traditional cigarette detection methods are time-consuming and subjective, and the analysis results are not objective and precise enough, whereas this study proposes a combination of cavity-constrained laser-induced breakdown spectroscopy (LIBS) and gray wolf optimization algorithm optimized bidirectional long short-term memory (GWO-BiLSTM) networks for classifying and identifying cigarette samples of 10 different brands. The signal-to-noise ratio and enhancement factor of the spectral intensity signal, LIBS plasma temperature and density are compared for different sizes of cavity constraints, and an optimal spectral enhancement size of 5 mm in both cavity height and diameter is selected. Comparing four different spectral downscaling methods, namely, principal component analysis (PCA), robust principal component analysis (RPCA), linear discriminant analysis (LDA), and t-distribution-stochastic neighborhood embedding (t-SNE), the LDA downscaling model is selected to achieve effective downscaling of the LIBS spectral data. By comparing the classification performance of the three models, the long short-term memory (LSTM) network, bidirectional long short-term memory (BiLSTM) network, and GWO-BiLSTM network, the GWO-BiLSTM model can achieve a classification accuracy of up to 98.31% in the test set. The results show that the classification method for different brands of cigarettes proposed in this study can effectively solve the technical pain points of traditional tobacco detection methods and provide a technical means to prevent the circulation of counterfeit cigarettes.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 10","pages":" 2382-2394"},"PeriodicalIF":3.1,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study of the layer thickness of multilayer sample by the LIBS method based on ablation rate correction† 基于烧蚀率修正的 LIBS 法研究多层样品的层厚度
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-08-08 DOI: 10.1039/D4JA00208C
Shiming Liu, Cong Li, Qi He, Huace Wu, Xiaohan Hu, Boliang Men, Ding Wu, Ran Hai, Xingwei Wu and Hongbin Ding
{"title":"Study of the layer thickness of multilayer sample by the LIBS method based on ablation rate correction†","authors":"Shiming Liu, Cong Li, Qi He, Huace Wu, Xiaohan Hu, Boliang Men, Ding Wu, Ran Hai, Xingwei Wu and Hongbin Ding","doi":"10.1039/D4JA00208C","DOIUrl":"10.1039/D4JA00208C","url":null,"abstract":"<p >As a remote and <em>in situ</em> diagnostic technique for the first wall of tokamaks, laser-induced breakdown spectroscopy (LIBS) has shown promising potential for depth profile analysis of deposition layers on plasma-facing components (PFCs). However, due to the complexity of the interface of deposition layers and the limitations of laser profiles, achieving an accurate deposition layer thickness is often more difficult for an <em>in situ</em> LIBS system in tokamaks. In previous studies, a Laser Profile &amp; Interface Roughness model (LPIR model), which considers the laser beam profile and interface roughness factors, has been developed to identify the interface of deposition layers. In this study, the effect of ablation rates from different materials in the deposited layers on the accuracy of their thickness has been investigated. The depth profiling of a Ni–Cu–Ni–Cu multilayer sample, which has a four-layer structure, has been carried out using the LIBS technique under different focusing conditions as well as various laser pulse energies, with the pressure maintained at 10<small><sup>−5</sup></small> mbar. The LPIR model was used to reconstruct the depth distribution profile of the Ni–Cu–Ni–Cu multilayer sample and quantify the interfacial positions of the deposited layers. A layer thickness correction method for multilayer sample is proposed based on the dependence of the ablation rates of different layers on laser fluence. The correction ability has been evaluated based on the relative errors between the calculated and the scanning electron microscope (SEM) values for different layer thicknesses. The relative errors of the corrected layer thicknesses are all significantly improved, and the accuracy of the layer thicknesses has been substantially improved. The proposed method will not only help us better understand the LIBS depth profiling of multilayer samples under different laser fluence conditions, but it will also further improve the accuracy of the layer thickness analysis of multilayer samples. This result is of positive significance for the application of <em>in situ</em> LIBS diagnostics in plasma–wall interaction (PWI) studies.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 10","pages":" 2363-2373"},"PeriodicalIF":3.1,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing multi-type coal quality prediction accuracy with fusion spectra and classification models using NIRS and XRF techniques 利用近红外光谱和 XRF 技术,通过融合光谱和分类模型提高多类型煤炭质量预测的准确性
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-08-06 DOI: 10.1039/D4JA00193A
Zhedong Zhang, Jiaxuan Li, Rui Gao, Yang Zhao, Yan Zhang, Lei Zhang, Zefu Ye, Zhujun Zhu, Peihua Zhang, Wangbao Yin and Suotang Jia
{"title":"Enhancing multi-type coal quality prediction accuracy with fusion spectra and classification models using NIRS and XRF techniques","authors":"Zhedong Zhang, Jiaxuan Li, Rui Gao, Yang Zhao, Yan Zhang, Lei Zhang, Zefu Ye, Zhujun Zhu, Peihua Zhang, Wangbao Yin and Suotang Jia","doi":"10.1039/D4JA00193A","DOIUrl":"10.1039/D4JA00193A","url":null,"abstract":"<p >The various analytical indices of coal are important criteria for evaluating the quality of commercial coal. Coals of different qualities exhibit different physical and chemical characteristics in their utilization. In the case of multiple coal types, the spectral characteristics of different coals may overlap within certain wavelength ranges, or be affected by interference or noise from other coal types, leading to low accuracy in coal quality prediction. Rapid and accurate coal quality testing is of great significance for improving industrial production efficiency and enhancing corporate profitability. This study employs near-infrared spectroscopy (NIRS) and X-ray fluorescence spectroscopy (XRF) combined techniques to explore the accuracy and feasibility of predicting coal quality based on coal type classification models. In terms of classification algorithms, coal samples are identified and classified using Support Vector Machine (SVM) based on fusion spectra. Regarding the modeling approach, Partial Least Squares (PLS) is utilized to establish both an overall model for all coal samples and individual classification models corresponding to each coal type. The results show that the precision, accuracy, recall, and <em>F</em><small><sub>1</sub></small> score of this classification algorithm reached 96.49%, 97.50%, 95.83%, and 96.41%, respectively. The determination coefficients (<em>R</em><small><sup>2</sup></small>) for the classification model's predictions of ash, volatile matter, and sulfur in coal quality indicators reached 0.992, which represents improvements of 1.85%, 5.31%, and 10.10% over the overall model. The root mean square errors of prediction (RMSE<small><sub>P</sub></small>) for these indicators were 0.062, 0.080, and 0.008, showing reductions of 0.24%, 0.68%, and 0.05% compared to the overall model. It indicates that the method of first identifying the coal type and then predicting coal quality indicators using the corresponding classification model can significantly improve the accuracy of coal quality detection in complex coal type scenarios.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 10","pages":" 2433-2442"},"PeriodicalIF":3.1,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Investigating the effects of laser wavelengths and other ablation parameters on the detection of biogenic elements and contaminants in hydroxyapatite 研究激光波长和其他烧蚀参数对检测羟基磷灰石中生物元素和污染物的影响
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-08-05 DOI: 10.1039/D4JA00073K
Aida Fazlić, Anna Faruzelová, Jakub Buday, Lenka Michlovská, Lucy Vojtová, Pavlína Modlitbová, Pavel Pořízka and Jozef Kaiser
{"title":"Investigating the effects of laser wavelengths and other ablation parameters on the detection of biogenic elements and contaminants in hydroxyapatite","authors":"Aida Fazlić, Anna Faruzelová, Jakub Buday, Lenka Michlovská, Lucy Vojtová, Pavlína Modlitbová, Pavel Pořízka and Jozef Kaiser","doi":"10.1039/D4JA00073K","DOIUrl":"10.1039/D4JA00073K","url":null,"abstract":"<p >The main purpose of this work is to thoroughly describe sensitivity and resolution enhancement by systematically optimizing key parameters in laser-induced breakdown spectroscopy analysis. Simultaneous analysis of biogenic (C, P, Mg, and Ca) and contaminating (Pb) elements, which are commonly detected in selected biotic matrices (mammal teeth), was performed. Hydroxyapatite reference pellets were utilized as model matrices, which successfully reflect human dental tissue. The optimization involved precise adjustments of the used laser wavelengths (1064, 532, and 266 nm), relative defocus of the laser pulse, ablation pulse energies, and gate delays for collecting characteristic spectra. In addition, for Ca analysis, the signals of different ionization line types (Ca I 364.44 nm; Ca II 370.60 and 396.85 nm) were compared; in the case of Pb analysis, the limits of detection were established for each used laser wavelength, and the revealed differences were discussed in detail. We intend to demonstrate the benefits of rapid, low-cost analysis and also the importance of measurement parameters used in biotic sample testing.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 9","pages":" 2330-2339"},"PeriodicalIF":3.1,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2024/ja/d4ja00073k?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A novel spectral standardization method capable of eliminating the influence of plasma morphology to improve LIBS performance 一种能够消除等离子体形态影响以提高 LIBS 性能的新型光谱标准化方法
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-08-02 DOI: 10.1039/D4JA00203B
Deng Zhang, Zili Chen, Junfei Nie, Yanwu Chu and Lianbo Guo
{"title":"A novel spectral standardization method capable of eliminating the influence of plasma morphology to improve LIBS performance","authors":"Deng Zhang, Zili Chen, Junfei Nie, Yanwu Chu and Lianbo Guo","doi":"10.1039/D4JA00203B","DOIUrl":"10.1039/D4JA00203B","url":null,"abstract":"<p >The poor spectral stability of laser-induced breakdown spectroscopy (LIBS) seriously affects its analytical performance, which is a key obstacle to its further development. To overcome this challenge, an improved spectral standardization method based on plasma image-spectrum fusion (ISS-PISF) was proposed in this study. This method, for the first time, considers and quantifies the influence of plasma morphology on spectral intensity based on the line-integrated intensity formula of LIBS spectra. It recognizes that the spectral fluctuations mainly stem from variations in total number density, plasma temperature, electron number density, and plasma morphology. Therefore, ISS-PISF innovatively utilizes easily accessible features from plasma images and spectra to eliminate the influence of these four plasma parameters, thereby improving the spectral stability and analytical performance of LIBS. To validate the effectiveness of this method, the spectra of aluminum alloy samples obtained under complex detection conditions simulated by varying laser energy and defocusing amount were analyzed. After correction by ISS-PISF, the <em>R</em><small><sup>2</sup></small> for Mg I 516.73 nm, Mn II 294.92 nm, and Si I 288.16 nm improved to 0.990, 0.976, and 0.961, and the average RMSE of the validation set decreased by 46.154%, while the average STD of the validation set decreased by 37.405%. These experimental results indicate that this study provides a simple, effective, and physically supported spectral standardization method, which contributes to the further promotion and application of LIBS.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 10","pages":" 2402-2408"},"PeriodicalIF":3.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141880623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Determining the sources of (sub)permil-level inaccuracy during laser ablation-MC-ICPMS boron isotope measurements of carbonates† 确定激光烧蚀-MC-ICPMS 碳酸盐硼同位素测量过程中(亚) permil 级误差的来源
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-07-30 DOI: 10.1039/D4JA00154K
Douglas Coenen, David Evans, Hana Jurikova, Matthew Dumont, James Rae and Wolfgang Müller
{"title":"Determining the sources of (sub)permil-level inaccuracy during laser ablation-MC-ICPMS boron isotope measurements of carbonates†","authors":"Douglas Coenen, David Evans, Hana Jurikova, Matthew Dumont, James Rae and Wolfgang Müller","doi":"10.1039/D4JA00154K","DOIUrl":"10.1039/D4JA00154K","url":null,"abstract":"<p >Recent developments in spatially-resolved boron isotopic analysis using laser ablation as a means of sample introduction to MC-ICPMS instruments (LA-MC-ICPMS) increasingly allow researchers to explore the spatial heterogeneity of the boron isotopic composition of a range of geochemical applications, for example in palaeoclimatology and mantle petrology. However, previous work has shown that a diffuse interference centred near <small><sup>10</sup></small>B, when measuring samples with a calcium-rich matrix, can significantly bias especially the measurement on <small><sup>10</sup></small>B, affecting the accuracy of boron isotope measurements. Although several correction approaches have yielded sufficiently accurate analyses of <em>δ</em><small><sup>11</sup></small>B in calcium carbonate, the root cause of this interference is still not fully resolved. Here, we explore the various potential sources of inaccuracy in boron isotope measurements made using (LA-)MC-ICPMS by experimenting with dry and wet plasma conditions, in both solution and laser ablation mode (in the former case, our solution (Ca–Mg)/B ratios broadly mimic those found in natural samples). In solution mode, we find that irrespective of wet or dry plasma conditions, the introduction of a Ca-containing matrix yields a baseline up to ∼4 and ∼14 times higher around <em>m</em>/<em>z</em> ≈ 10 for wet and dry plasma conditions, respectively, compared to both a Mg-only matrix and lack of matrix. In order to explore this further, we performed mass scans around <em>m</em>/<em>z</em> ≈ 10 during laser ablation of different carbonates with varying matrix [Ca]. These show that the <em>m</em>/<em>z</em> ≈ 10 interference scales linearly with a mixture of the calcium content of the analyte matrix and <small><sup>40</sup></small>Ar<small><sup>4+</sup></small> ion beam intensity, as previously hypothesised. Moreover, by experimenting with different plasma loading scenarios during the ablation of CaCO<small><sub>3</sub></small>, <em>i.e.</em> varying laser spot sizes, we find that permil-level inaccuracies in <em>δ</em><small><sup>11</sup></small>B may occur when the analyte ablated mass is significantly different than that of the standard used to calibrate instrumental mass bias. This is important given that we also show that different commonly-used reference materials ablate at very different rates, which illustrates the need for a careful standardisation approach irrespective of broader matrix effects when sub-permil level accuracy and precision are desirable when utilising LA-MC-ICPMS.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 10","pages":" 2409-2420"},"PeriodicalIF":3.1,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2024/ja/d4ja00154k?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141867518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ZMT04 muscovite: a potential Paleoproterozoic reference material for 40Ar/39Ar dating† ZMT04麝香石:用于 40Ar/39Ar 测定年代的潜在古生代参考材料
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-07-29 DOI: 10.1039/D4JA00172A
Wan-Feng Zhang, De-Wen Zheng, Fred Jourdan, Adam Frew, Celia Mayers, Yi-Gang Xu, Huai-Yu He, Yan-Qiang Zhang, Jun-Jie Wang, Ying-De Jiang, Ming Xiao, Jun-Jie Li and Jia Zhang
{"title":"ZMT04 muscovite: a potential Paleoproterozoic reference material for 40Ar/39Ar dating†","authors":"Wan-Feng Zhang, De-Wen Zheng, Fred Jourdan, Adam Frew, Celia Mayers, Yi-Gang Xu, Huai-Yu He, Yan-Qiang Zhang, Jun-Jie Wang, Ying-De Jiang, Ming Xiao, Jun-Jie Li and Jia Zhang","doi":"10.1039/D4JA00172A","DOIUrl":"10.1039/D4JA00172A","url":null,"abstract":"<p >ZMT04 muscovite serves as a quality control reference material for K–Ar dating, with a recommended age of 1804 ± 21 Ma (2<em>σ</em>). Here, we check the homogeneity for ZMT04 muscovite and compare its age against the reference material Fish Canyon sanidine (FCs). Five sub-samples of ZMT04 muscovite were irradiated in three different reactors with different irradiation doses, analysed at varying sample masses over different time periods, and subjected to different mass spectrometric measurement procedures in two independent laboratories, which yielded consistent plateau ages with a mean of 1772.2 ± 2.7 Ma (2<em>σ</em>, MSWD = 1.30, and <em>P</em> = 0.18) and <em>R</em><small><sup>ZMT04</sup></small><small><sub>FCs=28.294±0.072Ma</sub></small> = 105.53 ± 0.25 (2sd, MSWD = 0.88, and <em>P</em> = 0.57). The single-grain results are consistent with the multi-grain stepwise heating results, indicating good reproducibility and homogeneity of <small><sup>40</sup></small>Ar* and K at the single-grain level. A single grain is sufficient to yield a high precision result when the <em>J</em>-value &gt;0.01. We recommend 1 mg as the minimum sample mass to yield enough neutron-induced <small><sup>39</sup></small>Ar signals for high-precision analysis (<em>J</em>-value &lt;0.001). Accordingly, ZMT04 muscovite can represent a reliable <small><sup>40</sup></small>Ar/<small><sup>39</sup></small>Ar dating and K–Ar dating reference material for Paleoproterozoic geological samples.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 9","pages":" 2173-2182"},"PeriodicalIF":3.1,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141867519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correction: (LA)-MC-ICPMS/MS measurement of Sr radiogenic isotope ratios 校正:(LA)-MC-ICPMS/MS 对锶放射性同位素比值的测量
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-07-29 DOI: 10.1039/D4JA90040E
Philippe Télouk and Vincent Balter
{"title":"Correction: (LA)-MC-ICPMS/MS measurement of Sr radiogenic isotope ratios","authors":"Philippe Télouk and Vincent Balter","doi":"10.1039/D4JA90040E","DOIUrl":"10.1039/D4JA90040E","url":null,"abstract":"<p >Correction for ‘(LA)-MC-ICPMS/MS measurement of Sr radiogenic isotope ratios’ by Philippe Télouk <em>et al.</em>, <em>J. Anal. At. Spectrom.</em>, 2024, <strong>39</strong>, 879–887.</p>","PeriodicalId":81,"journal":{"name":"Journal of Analytical Atomic Spectrometry","volume":" 9","pages":" 2340-2340"},"PeriodicalIF":3.1,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2024/ja/d4ja90040e?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141867520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A novel chemical purification method for accurate Sn isotope measurement by MC-ICP-MS† 利用 MC-ICP-MS 精确测量 Sn 同位素的新型化学纯化方法
IF 3.1 2区 化学
Journal of Analytical Atomic Spectrometry Pub Date : 2024-07-25 DOI: 10.1039/D4JA00015C
Qinyuan Qu, Wengang Liu, Wang Zheng, Benjamin Chetelat, Qingchuan Liu and Jiubin Chen
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