Laser-induced breakdown spectroscopy (LIBS) offers a tantalizing glimpse into real-time, on-the-spot aerosol analysis. Yet, the reliance on traditional lasers, with their limitations in energy and frequency, hampers optimal sample handling, dissociation, and excitation. To address those challenges, we propose a novel tactic: utilize a high repetition-rate (rep.-rate) laser with low pulse energy in combination with the two-dimensional correlation (2D-corr.) technique for sea-salt aerosols analyses. By examining the emission patterns from both the laser pulse train and individual pulses, we recognize distinctive analyte-specific rep.-rate responses, which allowed spectral reconstruction of analytes, avoiding background interferences. This discovery enabled the rep.-rate modulation for a 2D-corr. spectroscopy workflow. Consequently, we successfully differentiated between particle-related and air-species-related spectral components, obviating expensive spectrometers or intensified image detectors. For instance, the Na I at 589 nm stemming from aerosols exhibited an entirely different correlation contribution compared to O I at 777 nm, resulting in reconstructed clean aerosol-spectra without spectral peaks originated from air species. This 2D-corr. aerosol LIBS approach shows promising analytical potential streamlining aerosol particle analysis.
We present a rapid method for determining the 87Sr/86Sr ratio in water samples using inductively coupled plasma tandem mass spectrometry (ICP-MS/MS) in the oxygen reaction mode, thus eliminating the need for Sr purification. With O2 as the reaction gas, Sr+ ions undergo a mass shift, measured at m/z 102 and 103. Our investigation into the interference elimination, concentration effects, and matrix effects revealed that the 87Sr/86Sr determination method is robust, yielding a value of 0.7101 ± 0.0010 (2SD) for the NIST SRM 987 standard, consistent with the reference value of 0.71034 ± 0.00026 (2SD). This accuracy was maintained even with a Rb/Sr ratio of 100. Further, this method was insensitive to the concentration ratio of Sr in the sample and standard (from 0.1 to 10) and exhibited negligible sample matrix effects, as shown by the average values for an IAPSO seawater standard, calibrated with pure Sr and matrix-matched Sr standard solutions, yielding 87Sr/86Sr ratios of 0.7091 ± 0.0006 (2SD) and 0.7092 ± 0.0008 (2SD) respectively, which were consistent with the literature values. Subsequently, real water samples were analyzed using the proposed method, yielding good results.
Fe speciation is crucial for distinguishing various redox conditions and thus offers valuable insights into the evolution of life and the environment throughout geological history. Monitoring experimental processes using reference materials is essential to ensure the consistency and reliability of Fe speciation analyses across laboratories. In this study, we evaluate the extraction processes and analytical methods used in the analysis of Fe speciation in four marine shale reference materials (WHIT, KL133, KL134, and BHW). A simple and feasible extraction process to extract Fecarb, Feox, and Femag that enables the simultaneous horizontal shaking of multiple samples by securing centrifuge tubes in foam racks is evaluated. Additionally, we compare the effects of the heating method on the extraction of FeR by heating the solution with a boiling water bath and a Bunsen burner. A new droplet method is devised for the instrumental analysis of Fe speciation using samples with high concentrations of total dissolved solids and organic matter matrices using wavelength-dispersive X-ray fluorescence spectrometry. A specialized PTFE support holder is designed to dry the filter paper in situ during sample preparation. We also compare figures of merits of wavelength-dispersive X-ray fluorescence spectrometry (WD-XRF), inductively coupled plasma-optical emission spectroscopy, and flame/graphite furnace atomic absorption spectrometry, including sample preparation, accuracy, precision, method limit of quantification, and linear range. The proposed WD-XRF droplet method will greatly simplify the sample preparation process and improve the efficiency of Fe speciation analysis.
Optical Emission Spectroscopy is a widely used technique for plasma diagnosis, with particular interest in hydrogen atomic emission due to its prevalence in plasmas. However, accurately determining plasma parameters like electron density, electron temperature, and gas temperature starting from the experimental profiles remains a challenge. This paper introduces a comprehensive model for Stark broadening of the Hα line in a wide range of plasma conditions, addressing the limitations of existing analytical expressions for line shapes. The proposed model encompasses the full splitting of the transition into fifteen Lorentzian profiles and electric micro-field fluctuations surrounding the emitting atoms due to collisions with charged particles. Starting from accurate spectral data obtained from realistic computer simulations, fitting parameters of the model, have been obtained by using an optimization method based on a genetic algorithm. The set of parameters of the model are reported for a wide range of plasma conditions. The behavior of these parameters is analyzed to understand their dependence in terms of the electron density and temperature and gas density of the plasma. The model parameters here obtained constitute a useful tool in plasma diagnosis to obtaining the values of the physical parameters of the plasma starting from the experimental profiles.
Laser-induced breakdown spectroscopy (LIBS) is a well-established technique widely used in fundamental research and diverse practical fields. Polarization-resolved LIBS, a variant of this technique, aims to improve the sensitivity, which is a critical aspect in numerous scientific domains. In our recent work we demonstrated that the degree of polarization (DOP) in the emission depends on the spatial location and time in a nano second laser generated aluminium plasma1. Present study investigates the effect of polarized emission on the estimation of plasma parameters. The plasma parameters are estimated using the conventional spectroscopic methods such as Boltzmann plot and line intensity ratio for the estimation of electron temperature and Stark broadening for estimating the electron density. The estimated plasma temperature using Boltzmann plot method shows large errors in electron temperature for the locations where DOP is higher. However, the electron density estimated using the Stark width does not show such variation. The observed ambiguity in temperature estimation using the Boltzmann plot method appears to be a consequence of deviation from expected Maxwell Boltzmann distribution of population of the involved energy levels. These findings highlight the need of assessing the DOP of the plasma before selecting the polarization for PRLIBS or temperature estimation using Boltzmann plots in elemental analysis.
Optical emission spectroscopy (OES) method is a powerful technique to identify the components of species in the plasma and obtain density based on actinometry. The key component of high-precision and long lifetime aerospace device, such as the grid of ion thruster, is usually made up by erosion-resistant materials, resulting in an extremely low density of erosion product. But the information on these erosion processes is indispensable to optimize the design of those components. The traditional method used to evaluate the erosion process mainly depends on measuring the depth of erosion, while it is a process that necessitates the accumulation of at least hundreds of hours. So, the traditional way is incapable of measuring in multiple working condition and cannot provide online monitoring. Considering this dilemma, this work demonstrates an advanced actinometry based on OES method to analyze the Mo atoms generated during the working process of ion thruster, with more specific atomic emission lines of working gas and product used than the traditional method. The result of this work indicates that the Mo atoms at trace level can be detected successfully, and the concentration of Mo atoms can also be determined based on the advanced actinometry. The result obtained in this work also reveals more intricate relationship between erosion characteristics and various operational parameters, indicating that OES method and advanced actinometry can be used for evaluating the erosion characteristics of aerospace device in different working conditions in a real-time and efficient way, which plays a vital role in deep space exploration and gravitational wave detection by contributing lifetime optimization designs of those devices.
The increasing use of woody biomass for sustainable heat and power is generating large amounts of woody biomass ash (WBA), which needs to be safely disposed of or recycled. In this study, the utility of Microwave-induced plasma optical emission spectrometry (MIP-OES) with microwave-assisted acid digestion for simplifying analyses of the major elements of WBA was investigated. Calibration curves exhibited good linearity (R2 > 0.999). Internal standardization using three emissions lines (324.754 nm of Cu, 451.131 nm of In and 371.029 nm of Y) showed that calibration with Cu (324.754 nm) correction resulted in the best linearity. Physical effects, even the presence of hydrofluoric acid or boric acid in mixed acids used for digestion, were of trivial influence with internal standard recoveries were within 0.95 to 1.05 times those of the blank sample. The limit of detection of MIP-OES for seven measured elements was 0.85–89 μg/L, 0.23–2.8 times higher than that of inductively coupled plasma optical emission spectrometry (ICP-OES). The recovery of elements in a certified fly ash reference material as determined by MIP-OES was 0.80–1.08. Elemental quantification of WBA samples by MIP-OES showed a strong correlation with that by ICP-OES. However, in a Welch's t-test, the MIP-OES values were significantly higher for K and significantly lower for Al and Ca in a majority of the samples. Nonetheless, considering the good correlation between their results, MIP-OES can replace ICP-OES for the analysis of WBA.