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Atomic Spectroscopy

The Atomic Spectroscopy (ISSN: 0195-5373, JCR Q2) is a peer-reviewed journal dedicated to the rapid publication of innovative research on fundamentals, instrumentation, methodologies and applications across all areas of atomic spectroscopy and inorganic mass spectrometry. All published articles are freely available online and no article processing charges (APC) are required for publication.

Editor-in-Chief: Prof. Xian-Hua Li
Executive Editor: Prof. Wei Guo
Associate Editors: Prof. Michael Dürr, Prof. Wei Hang, Prof. Zhaochu Hu

Call for papers:

1. Special issue: 14th LIBS 2026

Aim: This collection features contributions from "The 14th International Conference on Laser-Induced Breakdown Spectroscopy (LIBS 2026)"
Guest editors: Meirong Dong and Shunchun Yao
Submission deadline: 10 August, 2026
Please select: 14th LIBS 2026 Special Issue upon submission.

2. Special issue: 2027 Early Career Analyst

Aim: To amplify emerging voices, foster academic exchange, and support the professional development of early-career researchers. AS welcomes original articles across all atomic spectroscopy and inorganic mass spectrometry fields
Guest editors: Jorge Pisonero Castro, Willis B. Jones, Yanbei Zhu, Anika Retzmann, and John Thomas Caulfield
Submission deadline: 31 December, 2026
Please select: 2027 Early Career Analyst Special Issue upon submission.

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      Abstract:
      Accurate and rapid monitoring of 99Tc is crucial for the radiological risk assessment in nuclear emergency situations. However, accurate determination of 99Tc by ICP-MS is always hindered by the interferences of 98Mo and 99Ru. In this work, a rapid and accurate analytical method of 99Tc in seawater samples was established, and 185Re as a non-isotopic tracer was used for the monitoring of 99Tc yield in the whole procedure. TiCl3 was chosen as a reducing agent and co-precipitant for the 99Tc preconcentration. 98Mo and 99Ru were effectively removed using two TK200 resin columns under novel alkaline loading conditions, and the excellent decontamination factors (DFs) of 4.28 × 106 for Mo and 5.16 × 105 for Ru were achieved. Importantly, the interferences of 98Mo+ tailing, 99Ru+ and 98Mo1H+ can be efficiently suppressed using C2H4 as a new reaction gas for 99Tc measurement, and 98Mo1H+/98Mo+ of 1.31 × 10?7 was achieved at 0.28 mL/min C2H4-1.0 mL/min He. The overall decontamination factor of Ru reached 3.76 × 107, which are at least 2 orders of magnitude higher than that of the conventional methods. The detection limit of 3.18 pg/L (2.00 mBq/L) was obtained with a whole analytical time of 4 hours for 12 samples, which was suitable for the application of nuclear emergency. More important, this correction-free alternative method was found to accurately measure 99Tc by ICP-MS without any mathematical correction of 99Ru for the first time.
      Abstract:
      Laser-induced breakdown spectroscopy (LIBS) is promising for rapid contamination analysis of power insulators, but its reliability is limited by laser-energy perturbation during field detection. To improve the robustness of LIBS-based contamination-level classification, this study proposes a LIBS–DVS Hybrid Gated Fusion Spiking Neural Network (LD-HGF-SNN) by integrating LIBS spectra with raw dynamic vision sensor (DVS) event streams. Unlike methods based on reconstructed event images, LD-HGF-SNN constructs a raw-event-derived spatiotemporal DVS event tensor to preserve the time–height–width evolution of laser-induced plasma and encodes it using an LIF-neuron-based spiking branch. A 1D convolutional branch extracts LIBS spectral features, while a sample-adaptive gated fusion module regulates the contributions of spectral and event-stream information. Broad-energy classification and cross-energy evaluation tasks were constructed using paired LIBS–DVS data collected under seven laser-energy conditions. LD-HGF-SNN achieved 97.50% accuracy and 97.49% macro-F1 under the reference-energy condition, and maintained 87.50% accuracy and 87.52% macro-F1 under full-range laser-energy perturbation. In the most challenging task, its accuracy exceeded the strongest ablation model, the ungated fusion model, and the reconstructed-image fusion baseline by 15.50, 21.00, and 22.50 percentage points, respectively. These results indicate that raw-event-derived DVS event streams provide complementary plasma-dynamic information for LIBS spectra, and that preserving the spatiotemporal structure of DVS events can improve LIBS classification robustness under laser-energy perturbation.
      Abstract:
      Reliable determination of niobium and tantalum in Nb–Ta ores is analytically challenging due to the refractory nature of the matrix and pronounced spectral and matrix effects in ICP?OES. In this study, two chemically distinct fusion procedures – an established phosphate fusion and an optimized lithium metaborate (LiBO2) fusion followed by dissolution in a dilute HF/HNO3 mixture – were systematically compared. A dataset of 69 natural Nb–Ta mineral concentrates and one industrial synthetic material analyzed over a ten-year period was used for the comparison. Method equivalence was assessed using Deming regression with a heteroscedastic error structure. Trueness was evaluated using the CRM X1808 certified reference material and an in-house reference material characterized by X-ray fluorescence (XRF). Both fusion methods provided analytically equivalent results for Nb2O5 and Ta2O5 across the entire concentration range. However, borate fusion allowed simultaneous determination of a broader range of elements, including Na2O, P2O5, and SiO2. Although both approaches can be used to quantify most analytes, their applicability is partly complementary: phosphate digestion does not allow reliable determination of sodium and phosphorus, and SiO2 determination may be limited at higher concentrations. In addition, while both fusion techniques are considerably more rapid and more robust than conventional acid digestion, borate fusion also allows slightly faster sample preparation. Overall, fusion-based approaches represent an efficient and reliable strategy for the comprehensive analysis of complex Nb–Ta matrices.
      Abstract:
      In this proof-of-concept study, liquid microjunction inductively coupled plasma mass spectrometry (LMJ-ICPMS) was used as a localized, quasi-non-destructive approach for the qualitative trace elemental characterization of polymer materials relevant to forensic investigations involving 3 dimensions (3D)-printed firearms. Blue nylon glass-fibre-reinforced polyamide 6 (PA6-GF), polyethylene terephthalate glycol (PETG), and polylactic acid (PLA) were analyzed using a custom LMJ sampling interface coupled to quadrupole-based ICPMS. Measurable transient signals were obtained for multiple elements directly from polymer surfaces, demonstrating the capability of LMJ sampling to recover and transport trace elemental constituents with minimal sample preparation and limited surface disruption. Distinct normalized elemental profiles were observed between PA6-GF and PETG, with PETG exhibiting higher relative abundances of Mg, Ca, Ti, and Sr, whereas PA6-GF exhibited elevated Ba. Complete separation between PA6-GF and PETG was achieved using Ti/Mg and Ba/Ca elemental ratios, while targeted and untargeted principal component analyses demonstrated distinct clustering based on selected elemental markers and the broader elemental profile, respectively. The first two principal components of the targeted analysis accounted for 97.7% of the total variance. Addition of 2% (v/v) methanol (MeOH) to the 2% (v/v) nitric acid (HNO3) sampling solvent improved elemental recovery of PLA, enabling multivariate differentiation of PA6-GF, PETG, and PLA, with the first two principal components accounting for 97.0% of the total variance. These results demonstrate the applicability of LMJ-ICPMS for qualitative elemental profiling and differentiation of polymer materials, while highlighting the importance of solvent optimization for extending the approach to chemically distinct polymer systems.
      Abstract:
      Coal analysis plays a crucial role in its efficient utilization and pollution control. Laser-induced breakdown spectroscopy (LIBS) exhibits promising application prospects in coal quality analysis because of its uniquely rapid and minimally destructive capabilities. However, the complex composition of coal induces severe matrix effects, which pose a formidable challenge to the accurate quantification in traditional LIBS analysis. In this study, a novel method named spectrum-ultrasound-image multi-modal fusion model (SUI-MM) was introduced to mitigate matrix effects in coal and improve the quantitative performance. SUI-MM extends conventional LIBS to a homologous multi-modal analysis framework combining spectra, ultrasound, and image, effectively compensating for the absence of physical structural and plasma spatial morphological information in spectra. By establishing a three-dimensional feature extraction and fusion strategy, it enables comprehensive characterization of coal plasma behavior and further improves quantitative performance. To verify the effectiveness of SUI-MM, experiments were performed on elemental and proximate analysis of coal. For the elemental analysis, the average R2p is improved to above 0.998, while RMSEp and AREp are reduced by 88% and 90%, respectively. For the proximate analysis, the average R2p is increased to over 0.999, and both RMSEp and AREp are decreased by 91% on average. Furthermore, ablation experiments confirm that image and ultrasonic signals contribute significantly to the improved analytical performance. These results demonstrate that the SUI-MM scheme can effectively mitigate matrix effect and significantly improve the quantitative accuracy in coal. In summary, SUI-MM is expected to further support the low-carbon transition of the energy industry.
      Abstract:
      Neutron depth profiling (NDP) is a non?destructive, operando technique that directly quantifies lithium distribution and transport in all?solid?state batteries (ASSBs) by exploiting the 6Li(n, α)3H nuclear reaction. Conventional techniques (e.g., X?ray methods) rely on interactions with extranuclear electrons and thus struggle to detect lithium due to its low electron density. By contrast, NDP exploits the direct nuclear reaction, enabling unambiguous localization of 6Li atoms. Consequently, NDP provides quantitative, depth?resolved monitoring of lithium concentration profiles along the battery thickness direction with a typical depth resolution of tens of nanometers. This review systematically summarizes recent progress in applying NDP to four key aspects of ASSBs: electrolytes, electrodes, interfaces, and thin?film full batteries. In electrolytes, NDP has revealed electronic?conductivity?induced random dendrite nucleation and reversible short?circuit phenomena. In electrodes, it has guided 3D framework designs, validated surface halogenation for Si anodes, and verified longitudinal Li gradients in composite cathodes. In interfaces, NDP has visualized space?charge layers, quantified lithiophilic coating effects, and provided early detection of short?circuit failure. In thin?film batteries, NDP has tracked Li?ion transport in near real time using isotopic tracers, identified Si migration as a degradation mechanism, and pinpointed rate?limiting interfaces in combination with other techniques. Beyond these applications, the inherent advantages and current limitations of NDP—such as its sensitivity to 6Li isotope, the trade?off between depth resolution and counting statistics, and the requirement for flat sample surfaces—are critically discussed. This review establishes NDP as an indispensable tool for understanding and engineering lithium transport in ASSBs, and outlines future directions including higher?flux neutron sources, improved detector systems, and integration with complementary in situ probes.
      Abstract:
      Laser-induced breakdown spectroscopy (LIBS), as an in situ and real-time diagnostic technique, has proven effective in acquiring elemental distribution information under extreme operational conditions. Under the actual operating conditions of tokamak devices, the ablation angle and gas atmosphere exert a synergistic influence on the evolution behavior of laser-ablated plasma. However, the underlying physical mechanisms have not yet been fully elucidated, necessitating more systematic and in-depth investigations. The LIBS characteristics of laser-ablated W plasma under low-pressure (100 Pa) Ar, He, N2 gases and various incident angles were systematically investigated. LIBS spectra revealed that at low laser energy density, Ar promotes more effective electron collision excitation and plasma recombination, while the higher thermal conductivity of He facilitates free expansion of the plasma. In N? atmosphere, the signal-to-background ratio (S/B) of laser-ablated W plasma remained largely independent of the angle, which aids in optimizing LIBS signal stability. As the laser-ablated angle increases, the laser energy density decreases, leading to reduced stability and symmetry of the plasma plume. Further research indicates that as laser energy density decreases, the axial expansion of the W plasma plume remains nearly unchanged, whereas the radial expansion decreases rapidly. This study elucidates the evolution mechanism of the laser-ablated W plasma under the synergistic effects of ablation angle and gas atmosphere. The results provide an important theoretical basis for the geometric calibration and optimization of in situ LIBS diagnostic systems intended for operation under low-pressure conditions.
      2026,47(3),309-329
      DOI: 10.46770/AS.2025.286i
      Abstract:
      Long half-life natural and artificial radionuclides have been paid great attention in the environment, geochronology, nuclear accidents, as well as the operation of nuclear facilities for over a decade. However, the rapid and accurate quantification of these ultra-trace level (fg or mBq) radionuclides has become a formidable challenge nowadays. A triple-quadrupole inductively coupled plasma mass spectrometry (ICP-MS) equipped with a collision reaction cell (CRC), namely ICP-MS/MS, is a valuable technique for rapid and sensitive analysis of ultra-trace level radionuclides in various kinds of samples. This article provides a comprehensive review and critical comparison of published analytical methods for ultra-trace level radionuclides in environmental, biological and nuclear waste samples. The methods of sample pre-treatment, valence state adjustment, chemical separation of radionuclides, and ICP-MS/MS measurement are systematically described and discussed. Importantly, the advantages and limitations of the collision reaction cell (CRC) technology on the removal of interferences and the radionuclide measurement are comprehensively summarized. In addition, the article also explores advancements in automated separation and measurement methodologies for radionuclides.
      2026,47(3),330-339
      DOI: 10.46770/AS.2026.0008
      Abstract:
      Tianwen-1’s MarSCoDe payload acquires chemical compositions of Martian rocks and soils. Previous LIBS models, built with Earth-based simulated Martian spectra, face accuracy reduction due to environmental discrepancies between simulations and the real Martian surface. To address this issue, this study establishes a univariate quantitative model for major elements based on in-situ Martian MCCT LIBS spectra. The derived Root-Mean-Square Errors are comparable to those reported in previous studies, and the average elemental compositions are consistent with GRS measurements at the Tianwen-1 landing site. Based on model-derived compositions and low Chemical Index of Alteration (CIA, 21.5% ± 8.0%), most rocks and soils show overall weak chemical alteration, implying limited water–rock interactions in the Tianwen-1 landing area during the Late Hesperian to Amazonian. Nonetheless, several samples with CIA values exceeding 35% (up to 42.7%) record localized liquid water activities within the region during this period.
      2026,47(3),340-349
      DOI: 10.46770/AS.2026.071
      Abstract:
      Single cell inductively coupled plasma mass spectrometry (scICPMS) enables quantitative analysis of individual cells, providing access to cellular heterogeneity that is obscured in bulk analyses. However, its analytical performance is strongly constrained by sample introduction efficiency, particularly for biological cells whose transport behaviour differs from those of standard solutions and nanoparticles. In this work, an infrared (IR)–heated pneumatic sample introduction system based on a modified cyclonic spray chamber, where the aerosol is pre-evaporated without solvent removal prior to entering the plasma, was employed for scICPMS analysis of a Se-enriched Saccharomyces cerevisiae (yeast) certified reference material (SELM-1) while monitoring the number of detected cell events. Multivariate optimization of IR-heating temperature, nebulizer gas flow rate, sample uptake rate, and sampling position was conducted. At 150 °C and 5 μL min?1 uptake rate, the IR-heated system achieved a cell transport efficiency of 47 ± 6%, representing a substantial improvement compared with a conventional cyclonic spray chamber (1.1 ± 0.4%) and exceeding that of a commercial single cell introduction system (30 ± 3%). Detection limits of 100–120 ag per cell were obtained for both ??Se and ?2Se. The Se mass per cell determined by scICPMS (65–68 fg cell?1) is consistent with independent estimates derived from certified total Se concentration and bulk digestion measurements, confirming analytical accuracy. Cell lysis occurred at IR-heating temperatures above 220 °C, emphasizing the necessity of optimization using cell-based matrices. Overall, this study demonstrates that controlled IR-heated sample introduction significantly enhances transport efficiency and enables reliable Se quantification in cells without requiring independent transport efficiency calibration.
      2026,47(3),350-355
      DOI: 10.46770/AS.2026.0001
      Abstract:
      Olivine is a key mineral of mafic-ultramafic and metamorphic rocks. Oxygen isotopic composition of olivine has been widely used to decipher mantle processes, igneous differentiation, and fluid-rock interaction in metamorphic systems. Accurate in situ oxygen isotopic analysis of olivine by secondary ion mass spectrometry (SIMS) requires matrix-matched reference materials to correct instrumental mass fractionation and monitor the stability of instrument. In this study, we report two natural olivine reference materials, AOL (Fo: 91-97) and POL (Fo: 94-97), for in situ oxygen isotopic analysis. These samples exhibit homogeneous oxygen isotopic compositions, with a two-standard deviation of 0.33‰ (N = 105) and 0.37‰ (N = 105), respectively. The recommended δ1?O values, determined by laser fluorination isotope ratio mass spectrometry, are 5.52 ± 0.25‰ for AOL and 5.64 ± 0.13‰ for POL (all ± 2SD, N = 5). Combined with previously reported olivine standards, our results confirm that no significant matrix effects were observed within the forsterite (Fo) content range of Fo?? to Fo??, supporting the wide use of AOL and POL as reference materials for high?precision oxygen isotopic microanalysis.
      2026,47(3),356-370
      DOI: 10.46770/AS.2026.0014
      Abstract:
      A laboratory-assembled laser-induced breakdown spectroscopy instrument consisting of a compact low-power diode-pumped solid-state laser and a palm-sized low-resolution non-gated spectrometer was evaluated for the quantification of lithium in lithium-bearing ore. Five ore materials containing 0.468 – 2.67 wt.% lithium were analyzed. Three Li I emission peaks at 610, 670, and 812 nm were used after total-intensity normalization. The total-intensity normalization produced a modest improvement in intra-pellet precision but a much larger improvement in calibration accuracy by effectively reducing inter-pellet variation. All three peaks yielded good univariate linear calibration. Among the unconstrained single-peak models, the 670 nm peak showed the lowest prediction error, whereas the 812 nm peak became the best univariate variable when a zero-intercept model was applied, owing to its near-ideal sensitivity and minimal self-absorption. Multilinear regression showed that the combination of the 610 and 812 nm peaks gave the best prediction performance in leave-one-ore-out cross-validation, outperforming all univariate models. In contrast, the use of all three variables did not improve the model further because of strong multicollinearity among the Li peak intensities. These results demonstrate that reliable lithium quantification can be achieved with a low-cost LIBS instrument and that careful selection of a small number of physically meaningful and complementary spectral variables is more important than simply increasing model complexity.
      2026,47(3),371-378
      DOI: 10.46770/AS.2026.0017
      Abstract:
      In this study, a robust analytical method based on high performance liquid chromatography coupled to inductively coupled plasma - tandem mass spectrometry (HPLC-ICP-MS/MS) was developed and validated for the simultaneous determination of ethylene thiourea (ETU) and propylene thiourea (PTU) in fruits and sulfur-rich vegetables such as plums, apricots, cherries broccoli and Brussels sprouts. Sample preparation was based on a Quick Polar Pesticides (QuPPe) extraction using methanol, followed by an anion-exchange solid-phase extraction (SPE) cleanup to efficiently remove sulfur-containing matrix interferences released during homogenization. Method validation was carried out according to the accuracy profile approach (NF V03-110) across five levels (10-400 μg L?1) for each of the matrices mentioned above. The method showed satisfactory trueness, repeatability, and intermediate precision for both analytes, with limits of quantification of 10 μg L?1 for both ETU and PTU in all matrices. The proposed method demonstrates strong robustness and versatility for the determination of ETU and PTU in challenging sulfur-rich plant matrices and provides a promising ICP-MS/MS-based alternative for the quantification of sulfur-containing organic contaminants in food.
      2026,47(3),379-389
      DOI: 10.46770/AS.2026.0025
      Abstract:
      Clinopyroxene is a major reservoir for Sr and rare earth elements (REE) in the lithospheric mantle and exerts long-term control on mantle Sr isotopic compositions. High-precision in situ Sr isotopic analysis of clinopyroxene by LA-MC-ICPMS requires matrix-matched reference materials with high Sr contents. However, suitable clinopyroxene reference materials remain scarce, limiting the wider application of this technique. Furthermore, the potential effects of non-matrix-matched calibration on data accuracy have been rarely evaluated. In this study, we present a comprehensive characterization of a potential new high-Sr clinopyroxene reference material, ZYC01, using multiple analytical techniques. ZYC01 exhibits excellent homogeneity in Sr isotopes. It has the highest Sr content (~2000 μg g?1) among all currently reported clinopyroxene reference materials, along with extremely low Rb concentrations. TIMS analyses yield a mean 87Sr/86Sr ratio of 0.705946 ± 0.000006 (2s, MSWD = 0.4; n = 8), while LA-MC-ICPMS analyses give a mean of 0.705956 ± 0.000080 (2s, MSWD = 1.1; n = 308), confirming its suitability as a Sr isotope reference material. Systematic comparison of matrix-matched versus non-matrix-matched calibration for ZYC01 clinopyroxene reveals that synthetic glasses (BCR-2G, BHVO-2G) produce systematic offsets exceeding 0.0004 relative to the TIMS value, while apatite calibration yields a ~0.00006 bias. In contrast, matrix-matched calibration using clinopyroxene YY09-47 gives results in excellent agreement with TIMS. These findings confirm that accurate in situ Sr isotopic analysis of clinopyroxene necessitates rigorous matrix matching. ZYC01 represents a valuable addition to the limited suite of high-Sr clinopyroxene reference materials and will facilitate wider application of in situ Sr isotopic analysis in mantle geochemistry.
      2026(3),390-402
      DOI: 10.46770/AS.2026.0022
      Abstract:
      A digestion-free graphite furnace atomic absorption spectrometry (GFAAS) method was developed for the simultaneous determination of total As and Se in fruit juices using a transversely heated graphite atomizer (THGA) with end-capped pyrolytic graphite tubes fitted with integrated graphite platforms (IGPs). For the analysis, 5 μL of oxidizing reagent (10% (v/v) HNO3 and 60% (v/v) H2O2) with 4 μL of 5 g/L Pd and 5 μL of 0.5 g/L Mg chemical modifier (both applied as nitrates) was directly injected onto the preheated IGP of the THGA (70 oC) along with 5 μL of juice sample. Optimum pyrolysis and atomization temperatures were 1300°C and 2100°C, respectively. Sensitivity of the method, expressed as the characteristic mass, was 22 pg As and 36 pg Se, in quite good agreement with model calculations (19 pg As and 27 pg Se). LODs were 2.1 μg/L (As) and 2.5 μg/L (Se), well below the European Food Safety Authority (EFSA) limits (20 μg/L). The calibration curves of both As and Se were linear up to 150 μg/L. Method validation with sixteen spiked juice samples yielded average recoveries of 93% for both As and Se. The As and Se contents of all juice samples (apple, grape, orange, peach, and mixed fruit) were below the LOD. A conservative dietary exposure assessment using upper-bound assumptions indicated negligible health risk for both elements. The method provides a rapid, green, and reliable approach for routine screening of As and Se in fruit juices.
      2026(3),403-416
      DOI: 10.46770/AS.2026.0024
      Abstract:
      This study presents the development and application of a low-voltage portable atmospheric pressure discharge plasma (LV-PAPD) system coupled with optical emission spectroscopy (OES) for rapid classification of copper alloys. The proposed LV-PAPD source operates at atmospheric pressure and low driving voltage, enabling compact and low-voltage operation without the need for vacuum systems or complex gas handling. Characteristic neutral and ionic emission lines from a wide range of elements were clearly observed, confirming sufficient excitation capability under low-voltage conditions. When applied to Cu-based alloys, dominant Cu emission signals together with dopant-related emissions were identified. Using the regression method, the limits of quantification (LOQs) for Cu and Zn in these alloys were estimated to be approximately 59 wt.% and 23 wt.%, respectively. In addition, machine learning (ML) approaches substantially improve classification performance. Support vector machine (SVM) models achieved classification accuracies of up to 98%, while feature importance analysis from the random forest (RF) model reveals that both strong host-element emissions and weak dopant-related signals contribute significantly to alloy discrimination. The successful differentiation of copper alloys confirms the LV-PAPD-OES system's capability as a portable screening tool for rapid classification of copper alloys.
      2026(3),417-427
      DOI: 10.46770/AS.2026.0032
      Abstract:
      Fluorine determination techniques using inductively coupled plasma-tandem mass spectrometry (ICP-MS/MS), which depend on BaF? detection, are severely constrained in foods with high sulfate content because of the precipitation of barium sulfate. For this purpose, a chloride-enhanced SrF? method was developed using ICP-MS/MS and ammonia as the reaction gas. The signal response of SrF? was increased by up to ~3-fold relative to that in water as the solvent under controlled standard conditions by adding chloride as 4% HCl, which was mechanistically related to the formation of the SrCl+ intermediate. The water-related interferences were lowered by 80% using the Peltier cooling system to keep the spray chamber at ?2 °C. The method showed a linear range of 1?20 mg L?1, an analytical sensitivity of 2.6×103 CPS/mg L?1, and a method detection limit of 4.5×10?3 mg L?1 for fluorine. It demonstrated improved resistance to elevated sulfate concentrations, overcoming one of its main limitations of BaF?-based methods. Analysis of quality control samples and certified reference materials for validation demonstrated good agreement with certified values, while spike recoveries in real food samples ranged from 94.2% to 99.8%.
      2026(3),428-440
      DOI: 10.46770/AS.2026.029
      Abstract:
      Feature engineering is a critical step in addressing the “curse of dimensionality” and high noise levels inherent in laser-induced breakdown spectroscopy (LIBS) data to enable rapid and accurate classification. However, for complex matrices like uranium (U) slag, individual feature selection methods often struggle to capture the full spectrum of discriminative information, leading to suboptimal model robustness. To address this, a weighted feature fusion (WFF) strategy is proposed for the first time to achieve high-precision classification of U slag. This strategy generates a comprehensive importance metric by performing a weighted linear fusion of normalized scores derived from random forest (RF), least absolute shrinkage and selection operator (LASSO), and mutual information (MI). The influence of diverse weight configurations on support vector machine (SVM), linear discriminant analysis (LDA), and k-nearest neighbors (KNN) models was systematically investigated using LIBS spectra from 23 U slag samples. The results demonstrate that the WFF strategy effectively reconciles the complementary strengths of the baseline methods—leveraging the dominant discriminative power of RF, the sparse linear features of LASSO, and the nonlinear associations from MI. Under the optimal weight configuration (RF: LASSO: MI = 0.5: 0.2: 0.3), the LDA model achieved a peak F1-score of 97.09%, significantly outperforming the best single-method approach (RF-LDA, 94.15%). The proposed strategy exhibits superior generalization and successfully mitigates the adaptation limitations typically observed when specific models are paired with individual selection methods. This study provides a novel, flexible, and interpretable feature engineering solution, offering critical methodological support for the field-deployable monitoring and resource utilization of nuclear-related solid waste.
      2026,47(3),441-451
      DOI: 10.46770/AS.2026.0003
      Abstract:
      Long-term online monitoring of metals in surface water is essential to protect water resources. Herein, a novel, integrated analytical system encompassing an automatic sample preparation system and solution cathode glow discharge-optical emission spectroscopy (SCGD-OES) for continuous and real-time detection of metals in rivers is presented. A piston pump integrated with a switching valve in the SCGD-OES system enables on-site preparation of water samples and controlled injection of a standard solution with a gradient concentration or environmental samples directly into the SCGD unit. Corresponding hardware and software platforms were developed to support automated operation. Under laboratory conditions, the achieved limits of detection (LODs) for typical metal ions, e.g., Na, K, Ca, and Mg, are comparable to those of conventional SCGD setups. The evaluation of the SCGD system using certified reference materials (CRMs) for water samples demonstrated satisfactory performance for elemental quantitative analysis, with relative errors of 4.1%, 1.9%, 4.0% and 4.5% for the four elements Na, K, Ca and Mg respectively. Furthermore, a seven-day field deployment of the SCGD system at a riverine site confirmed its accuracy and stability, with a relative error of less than 5.7% relative to reference ICP-OES measurements. These results validate the ability of the SCGD system to provide reliable and continuous online monitoring of metals in surface water.
      2026,47(3),452-461
      DOI: 10.46770/AS.2026.0002
      Abstract:
      Remote quantitative laser-induced breakdown spectroscopy (LIBS) of nuclear fuel materials is a challenging task due to unstable laser delivery and limited plasma emission collection stability. Establishing robust fiber-optic LIBS (FO-LIBS) systems with optimal operational stability is demanding. This study develops a high-throughput FO-LIBS system for quantitative analysis of CeO?-based surrogate nuclear fuel. It incorporates a 10 m, 1 mm core multimode silica delivery fiber, a compact flat-top focusing probe, and a six-channel off-axis emission collection module with a broadband (180–900 nm) detection system. Beam profiling demonstrated that the incident Gaussian beam was transformed into a homogenized flat-top profile after fiber transmission, resulting in improved plasma stability and repeatability. Over 100 consecutive shots, the system achieved a transmission efficiency of approximately 54% with pulse energy variations of less than 2%. The full-spectrum had a relative standard deviation (RSD) of less than 5%. Internal standard normalization using Ce II emission lines produced highly linear calibration curves for La I and Nd II transitions (R2 > 0.99). These findings indicate that the developed FO-LIBS system displayed stable and reproducible quantitative performance, while its detachable probe configuration provides potential flexibility for remote analysis across multiple hot cells in radiation constrained environments.
      2026,47(3),462-485
      DOI: 10.46770/AS.2026.0009
      Abstract:
      The elemental composition of medicinal materials (MMs) is directly linked to their therapeutic efficacy and clinical safety, making the development of accurate, efficient, and green analytical strategies of elements critically important. This review systematically evaluates recent methodological advancements in elemental analysis (covering both essential elements and toxic heavy metals) in MMs. Firstly, it highlights innovations in green sample pretreatment technologies, including efficient digestion or extraction techniques. Secondly, it comprehensively compares the performance and application scenarios of various analytical techniques, each offering distinct advantages in sensitivity, multi-element analysis capability, and on-site applicability. Subsequently, the review examined the potential influence of elements on the pharmacological activity of MMs and the migration patterns of various elements in the “soil-medicinal plant” system. Finally, it systematically elaborates on precise health risk assessment models, emphasizing the necessity of shifting from total content analysis to a risk-oriented evaluation paradigm. This review aims to provide a comprehensive reference for the development of green analytical methods, risk assessment, as well as quality and safety control of MMs.
      Abstract:
      On-line chemical vapor generation atomic fluorescence spectrometry (CVG-AFS) was, for the first time, used to determine trace copper in biological samples by merging acidified sample solution with potassium tetrahydroborate aqueous solution in the presence of micro-amounts of 1,10-phenanthroline. Nitric acid, for both sample digestion and chemical vapor generation, was used as the acid medium. CVG conditions and instrumental parameters were optimized for the best CVG efficiency, good gas/liquid separation, and efficient atomization/excitation. Under the optimized conditions, a limit of detection of 4 ng mL(-1) was obtained for copper, with a linear dynamic range of over three orders of magnitude. The proposed method was successfully applied to the determination of copper in biological certified reference materials.
      Abstract:
      A rapid, sensitive, and cost-effective method was developed for the determination of trace mercury in water samples by on-line coupling of flow injection (FI) sorption preconcentration with oxidative elution to cold vapor atomic fluorescence spectrometry (CV-AFS). race Hg(II) in aqueous solution was preconcentrated by on-line formation of mercury diethyldithiocarbamate complex (Hg-DDTC) and adsorption of the resulting neutral complex on the inner walls of a PTFE knotted reactor (KR). A mixture of 16% (v/v) HCl and 10% (v/v) H2O2 was used as the eluent to remove the adsorbed Hg-DDTC from the KR, then convert on-line the Hg-DDTC into Hg(II) prior to its reduction to elemental mercury by KBH4 for subsequent on-line CV-AFS detection. The tolerable concentrations of Cd(II) As(Ill) Se(IV) Fe(III), Co(II), Ni(II), and Cu(II) and Cu(II) for the determination of 0.1 mug L-I Hg(II) were 0.1, 10, 0.1, 0.1, 0.7, 1, 0.3, and 0.2 mg L-1, respectively. With a sample loading flow rate of 3.1 mL, min(-1) for a 60-s preconcentration, a detection limit (3sigma) of 4.4 ng L-I was achieved at a sample throughput of 36 samples h(-1). The precision (RSD, n = 11) was 1.7% at the 1 0, 1-mug L-1 Hg (11) level. The method was successfully applied to the determination of mercury in a certified reference material, GBW(E) 080392, and a number of local natural water samples.
      Abstract:
      A method based on?cloud?point?extraction?was developed to determine?cadmium?at?the?nanogram?per?liter?level?in?sea-water?by?graphite?furnace?atomic absorption spectrometry. Diethyldithiocarbamate (DDTC) was used as?the?chelating reagent to form Cd-DDTC complex; Triton X-114 was added as?the?surfactant.?The?parameters affecting sensitivity and?extraction?efficiency (i.e., pH?of?the?solution, concentration?of?DDTC and Triton X-114, equilibration temperature, and centrifugation time) were evaluated and optimized. Under?the?optimum conditions, a preconcentration factor?of?51.6 was obtained for a 20-ml, water sample.?The?detection limit was as low as 2.0 ng L-1 and?the?analytical curve was linear?in?the?10.0-200.0 ng L-1 range with satisfactory precision (RSD < 4.7%).?The?proposed method was successfully applied to?the?trace?determination?of?cadmium?in?seawater.
      Abstract:
      The analytical procedure for the determination of trace rare earth impurities in high purity neodymium oxide (Nd2O3) by ICP-MS is described. The effect of ICP-MS operating parameters on the REO(H)(+)/RE+ production ratio was studied in detail, and the optimal ICP operating conditions were established. In this context, the relationship between REO(H)(+)/RE+ production ratio and the bond strength of the rare earth oxides is also discussed briefly. For the correction of the spectral interference induced by the matrix (neodymium), a simple correction equation was used for correcting the interferences of the polyatomic ions NdO+ and NdOH+ with Tb-159 and Ho-165. The proposed method was applied to the determination of trace rare earth impurities in high purity Nd2O3\, and the analytical results were in good agreement with the recommended reference values.
      Abstract:
      A powerful multielement analytical technique using laser ablation Inductively coupled plasma source mass spectrometry (LA-ICP-MS) for the sensitive determination of trace impurities in thin glass filaments, used as reinforcing material in the construction industry, was developed. The trace analysis was carried out directly on very thin solid strands (without any sample preparation steps) by LA-ICP-MS whereby a bundle of thin glass fibers (with a filament diameter of about 10 - 20 mum) was fixed on a thin, special tape of a target holder. The fibers were ablated in the ablation chamber with the aid of a commercial laser ablation system using a Nd-YAG laser at a wavelength of 266 nm). In order to verify the trace analytical data, the ablated T-glass fibers were analyzed using a quadrupole (LA-ICP-QMS) and double-focusing sector field mass spectrometer (LA-ICP-SFMS). The detection limits of the trace elements in glass fibers using the LA-ICP-MS with a quadrupole analyzer were in the sub mug g(-1) range, whereas using a sector,field mass spectrometer (LA-ICP-SFMS) the detection limits could be Improved by 3-4 orders of magnitude down to the low and sub ng g(-1) range. The multielement trace analytical method, developed for high-purity glass fibers, was applied to the determination of chemical composition on thin alkati-resistant glass and basalt fibers with finishing additives used in fine concrete for the building industry. The analytical results were quantified using standard reference materials (SRMs) of glass matrix, such as the NIST 612 glass SRM and the basalt geological reference glasses, KL-2G and ML3B-G, for the trace analysis of basalt glass fibers. The experimentally determined relative sensitivity coefficients (RSC) in LA-ICP-MS for both SRMs varied between 0.2 and 3 for most of the elements. An increase of the relative sensitivity coefficients was observed with increasing mass. The relative standard deviation (RSD) of most elements (N = 3) was T between 2 and 10%. The results of the trace element concentrations by LA-ICP-MS using different instrumentation are in good agreement.
      Abstract:
      A?sequential?injection?system?for?on-line?ion exchange separation and?preconcentration?of trace level amounts of metal ions with ensuing detection by electrothermal atomic absorption spectrometry (ETAAS) is described. Based on the use of?a?renewable microcolumn incorporated within an integrated lab-on-valve microsystem, the?column?is initially loaded with?a?defined volume of beads of an SP Sephadex C-25 cation exchange resin. After having been exposed to?a?metered amount of sample solution, the loaded bead suspension is precisely manipulated within the valve to allow reproducible elution of the retained analyte by 30 muL nitric acid (1: 16,v/v) which, via air segmentation, are then transported into the graphite tube for quantification. The content of the used?column?is afterwards discarded and new?column?material is aspirated for the next run. The ETAAS determination is performed in parallel with the?preconcentration?process of the ensuing sample. The performance of the?system?is demonstrated for the determination of bismuth. With 2.4-mL sample loading, an enrichment factor of 33.4,?a?detection limit of 27 ng 1:1, along with?a?sampling frequency of 10 h(-1) was obtained. The relative standard deviation was 2.3% for the determination of 2.0 mg 1:1 Bi (n = 7). The procedure was validated by determination of bismuth in?a?certified reference material CRM 320 (river sediment) and by bismuth spike recoveries in two human urine samples.
      Abstract:
      A?sequential?injection?system?for?on-line?sorbent extraction?preconcentration?in electrothermal atomic absorption spectroscopy was developed for the determination of trace thallium in geochemical samples. The TlBr4-1 complex was adsorbed on?a?20-mu L micro-column?(located at the tip of the furnace sampling probe) packed with XAD-8 resin. After sequentially aspirating separate zones of acetone, rinsing acid, and sample (pretreated with bromine) into?a?2.5-m long, 1-mm i.d. holding coil, the flow was reversed and directed to the?column. Sample loading, analyte adsorption,?column?rinsing and analyte elution were achieved within?a?single reversed syringe stroke. The adsorbed analyte was eluted into the furnace with 50 mu L acetone. Mutual mixing between sample, rinsing acid, and eluent were prevented by separating the zones with small air segments during metering. Tightening of?column?packing was avoided by?a?slight back-suction through the?column?after each operational cycle. With 1-mL sample loading, an enrichment factor of 15 was obtained with?a?detection limit of 18 ng/L thallium (3 sigma).?A?precision of 2.4% RSD (n=11, 4 μ g/L) and?a?sampling frequency of 11/hour were achieved. The method was applied to the analysis of geochemical samples. The results were in good agreement with the certified values of standard reference geochemical materials.
      Abstract:
      The metal content in several TCM drugs was determined by ICP-MS. The efficiencies of different sample digestion methods were compared. Since one of the products studied is known to contain arsenic sulfides as a main ingredient, a solvent fractionation scheme was developed and applied to speciate As in the product. The metal content in the same TCM drug produced by different manufacturers was compared. The concentration of some metals such as Pb and Cd differs widely with different manufacturers, suggesting that their origin is primarily from external contamination. The high sensitivity and precision of the ICP-MS technique offers considerable advantages over conventional ICP-OES techniques for the analysis of complex samples such as TCM materials. Standardized analytic protocols based on ICP-MS are being developed fur the determination and characterization of metals and trace elements in TCM materials for product quality assessment.
      Abstract:
      Theory, design, and operation of a dynamic reaction cell for ICP-MS

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