New developments in the description and modeling of Highly Annealed Pyrolytic Graphite (HAPG) mosaic crystals have led to the possibility to design optimized optical solutions for X-ray absorption fine structure (XAFS) spectroscopy. XAFS is a very versatile method that is usually divided in two sub methods: extended X-ray absorption fine structure (EXAFS) and X-ray absorption near edge structure (XANES)

A modified Flowing Atmospheric Pressure Afterglow source with concentric-tube electrodes (modified-hFAPA) is coupled to an Atmospheric Pressure Interface Time of Flight Mass Spectrometer (API-TOFMS) for the analysis of gas samples. The hFAPA is an ionization source easy to manufacture, operate and handle, and with low consumption in terms of gas flow rates and electric power. The analytical performance

A laser-induced breakdown spectrometry (LIBS) system for rapid slag analysis near the steel process has been tested and evaluated. The system consists of a Quantel CFR YAG laser with repetition rate 10 Hz, pulse energy at 1064 nm 300 mJ, a 75 cm lens to focus the laser beam onto the sample, a spherical aluminum mirror in a near-colinear configuration to collect the plasma emission, and dual Avantes

This study describes the determination of phosphorus by the molecular absorption of phosphorus monoxide (PO) at 213.647 nm using high-resolution continuum source graphite furnace molecular absorption spectrometry with direct solid sample analysis (HR CS SS-GFMAS). Furthermore, the paper shows how the observation of the background signal provided by the software, which typically goes unnoticed as it

This study describes a simple and low-cost method that requires small samples (<20 mg) for the determination of rare earth elements (REEs) in iron minerals using high-resolution inductively coupled plasma mass spectrometry (HR-ICP-MS) after chemical purification by polyurethane foam (PUF). Powdered samples were digested using a conventional dissolution protocol with a HF, HCl, and HNO3 acid mixture

This report proposes an iterative multi-energy calibration (IMEC) method for online alloy smelting process monitoring and describes its performance verification on laser-induced breakdown spectroscopy (LIBS) online monitoring equipment in application factories. The proposed IMEC method is an improvement upon the existing MEC method, it involves two stages: standard sample preparation and implementation

The synthesis of new multifunctional engineered nanoparticles (ENPs) constitutes nowadays a research topic of increasing importance in nano(bio)technology. Such ENPs can be synthesized out of a large variety of different materials, being inorganic nanoparticles highly competitive in biomedical applications due to their unique optoelectronic properties. Most bioapplications requires for their proper

A novel method to directly quantify nanoparticles (NPs) in a soil matrix by laser ablation single particle inductively coupled plasma mass spectrometry (LA-sp-ICPMS) was developed. Different concentrations of 60, 100, or 250 nm diameter gold NPs (AuNP) were deposited directly on polyether sulfone (PES) ultrafiltration membranes or immersed in soil. The ICPMS sensitivity was calibrated using aqueous

Laser-induced breakdown spectroscopy (LIBS) of dry residues on a solid substrate is a promising method for microanalysis of liquid samples. In this work, a hydrophilized porous silicon (Si) substrate loaded with gold nanoparticles was applied to LIBS of dry residues for the signal enhancement. The porous Si substrate was prepared by a simple wet process, i.e. metal-assisted etching. A 5-µL strontium

Correction for ‘Wavelet-based interference correction for laser-induced breakdown spectroscopy’ by Y. M. Guo et al., J. Anal. At. Spectrom., 2017, 32, 2401–2406, 10.1039/C7JA00204A.

Correction for ‘Discrimination of nasopharyngeal carcinoma serum using laser-induced breakdown spectroscopy combined with an extreme learning machine and random forest method’ by Yanwu Chu et al., J. Anal. At. Spectrom., 2018, 33, 2083–2088, DOI: 10.1039/C8JA00263K.

Correction for ‘Interference correction for laser-induced breakdown spectroscopy using a deconvolution algorithm’ by Kun Liu et al., J. Anal. At. Spectrom., 2020, 35, 762–766, DOI: 10.1039/C9JA00383E.

Correction for ‘Sensitivity improvement in the detection of V and Mn elements in steel using laser-induced breakdown spectroscopy with ring-magnet confinement’ by Zhongqi Hao et al., J. Anal. At. Spectrom., 2014, 29, 2309–2314, DOI: 10.1039/C4JA00144C.

Correction for ‘Quantitative analysis of phosphorus in steel using laser-induced breakdown spectroscopy in air atmosphere’ by Chang Mao Li et al., J. Anal. At. Spectrom., 2014, 29, 1432–1437, DOI: 10.1039/C4JA00036F.

Correction for ‘Laser-induced breakdown spectroscopy using laser pulses delivered by optical fibers for analyzing Mn and Ti elements in pig iron’ by Qingdong Zeng et al., J. Anal. At. Spectrom., 2015, 30, 403–409, DOI: 10.1039/C4JA00462K.

Correction for ‘Determination of fluorine in copper ore using laser-induced breakdown spectroscopy assisted by the SrF molecular emission band’ by Zhiyang Tang et al., J. Anal. At. Spectrom., 2020, 35, 754–761, DOI: 10.1039/C9JA00407F.

Correction for ‘The pH effect on the detection of heavy metals in wastewater by laser-induced breakdown spectroscopy coupled with a phase transformation method’ by Shixiang Ma et al., J. Anal. At. Spectrom., 2020, 35, 198–203, DOI: 10.1039/C9JA00349E.

Correction for ‘Accuracy improvement of boron by molecular emission with a genetic algorithm and partial least squares regression model in laser-induced breakdown spectroscopy’ by Zhihao Zhu et al., J. Anal. At. Spectrom., 2018, 33, 205–209, DOI: 10.1039/C7JA00356K.

Correction for ‘Analytical-performance improvement of laser-induced breakdown spectroscopy for steel using multi-spectral-line calibration with an artificial neural network’ by Kuohu Li et al., J. Anal. At. Spectrom., 2015, 30, 1623–1628, DOI: 10.1039/C5JA00089K.

Correction for ‘Micro-destructive analysis with high sensitivity using double-pulse resonant laser-induced breakdown spectroscopy’ by Zhiyang Tang et al., J. Anal. At. Spectrom., 2019, 34, 1198–1204, DOI: 10.1039/C9JA00072K.

Correction for ‘Investigation of the self-absorption effect using spatially resolved laser-induced breakdown spectroscopy’ by Rongxing Yi et al., J. Anal. At. Spectrom., 2016, 31, 961–967, DOI: 10.1039/C5JA00500K.

Correction for ‘Evaluation of the self-absorption reduction of minor elements in laser-induced breakdown spectroscopy assisted with laser-stimulated absorption’ by Jiaming Li et al., J. Anal. At. Spectrom., 2017, 32, 2189–2193, DOI: 10.1039/C7JA00199A.

Correction for ‘Quantitative analyses of Mn, V, and Si elements in steels using a portable laser-induced breakdown spectroscopy system based on a fiber laser’ by Qingdong Zeng et al., J. Anal. At. Spectrom., 2016, 31, 767–772, DOI: 10.1039/C5JA00453E.

Correction for ‘Investigation on self-absorption reduction in laser-induced breakdown spectroscopy assisted with spatially selective laser-stimulated absorption’ by Yun Tang et al., J. Anal. At. Spectrom., 2018, 33, 1683–1688, DOI: 10.1039/C8JA00147B.

Correction for ‘Determination of yttrium in titanium alloys using laser-induced breakdown spectroscopy assisted with laser-induced fluorescence’ by M. Shen et al., J. Anal. At. Spectrom., 2018, 33, 658–662, DOI: 10.1039/C8JA00005K.

Correction for ‘Long-term repeatability improvement of quantitative LIBS using a two-point standardization method’ by Zhongqi Hao et al., J. Anal. At. Spectrom., 2018, 33, 1564–1570, DOI: 10.1039/C8JA00148K.

Correction for ‘Analysis of ion doping profiles in Yb-doped fiber preforms using laser-induced breakdown spectroscopy’ by Jiaming Li et al., J. Anal. At. Spectrom., 2016, 31, 492–496, DOI: 10.1039/C5JA00429B.

Correction for ‘A portable multi-collector system based on an artificial optical compound eye for stand-off laser-induced breakdown spectroscopy’ by W. T. Li et al., J. Anal. At. Spectrom., 2017, 32, 1975–1979, DOI: 10.1039/C7JA00173H.

Correction for ‘Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model’ by Y. M. Guo et al., J. Anal. At. Spectrom., 2018, 33, 1330–1335, DOI: 10.1039/C8JA00119G.

Correction for ‘In situ classification of rocks using stand-off laser-induced breakdown spectroscopy with a compact spectrometer’ by W. T. Li et al., J. Anal. At. Spectrom., 2018, 33, 461–467, DOI: 10.1039/C8JA00001H.

In response to the comments about the article “Slope ratio calibration for analysis of plant leaves by laser-induced breakdown spectroscopy”, this communication clarifies some aspects of this calibration approach recently proposed for LIBS quantitative analysis.

In the paper “Slope ratio calibration for analysis of plant leaves by laser-induced breakdown spectroscopy”, recently published on JAAS, the authors present an allegedly new calibration method for LIBS analysis, called Slope Ratio Calibration (SRC). In this short comment we will demonstrate that this method is completely equivalent to Single-Point Calibration (SPC), when a fair comparison between the