Absorption Correction Research Articles

Self-absorption correction on 2D X-ray fluorescence maps

X-ray fluorescence mapping (XRF) is a highly efficient and non-invasive technique for quantifying material composition with micro and nanoscale spatial resolutions. Quantitative XRF analysis, however, confronts challenges from the long-lasting problem called self-absorption. Moreover, correcting two-dimensional XRF mapping datasets is particularly difficult because it is an ill-posed inverse problem. Here we report a semi-empirical method that can effectively correct 2D XRF mapping data. The correction error is generally less than 10% from a comprehensive evaluation of the accuracy in various configurations. The proposed method was applied to quantify the composition distribution around the grain boundaries in an electrochemically corroded stainless steel sample. Highly localized Cr enrichment was found around the crack sites, which was invisible before the absorption correction.

Improved precision of radial velocity measurements after correction for telluric absorption

Context. The detection of planets around other stars by measurement of stellar radial velocity (RV) variations benefits from improvements to dedicated spectrographs that can lead to the achievement of a precision of 1 m s−1 or better. Spectral intervals within which stellar lines are contaminated by telluric lines are classically excluded from the RV processing. Aims. We aim to estimate the potential improvement of the precision of radial velocity measurements from telluric-absorption removal and subsequent extension of the useful spectral domain. Methods. We developed a correction method based on the online web service TAPAS that allows a synthetic atmospheric transmission spectrum to be determined for the time and location of observations. This method was applied to telluric H2O and O2 absorption removal from a series of 200 consecutive ESPRESSO exposures of the K2.5V star HD40307 available in ESO archives. We calculated the radial velocity using the standard cross-correlation function (CCF) method and Gaussian fit of the CCF, with uncorrected spectra and the ESPRESSO standard stellar binary mask on one hand, and telluric-corrected spectra and an augmented binary mask with 696 additional lines on the other. Results. We find that the precision of radial velocity measurements is improved in the second case, with a reduction of the average formal error from 1.04 m s−1 down to 0.78 m s−1 in the case of these ESPRESSO data and this stellar type for the red arm. Using an estimator of the minimal error based on the photon noise limit applied to the full CCF, the error is reduced from 0.89 m s−1 down to 0.78 m s−1. This corresponds to a significant decrease (by about 35%) in the observing time required to reach the same precision in the red part.

On the Relationship between Hair Mercury Concentrations and Cardiovascular Diseases (based on the example of the Vologda Region)

Introduction: Mercury is considered by the World Health Organization as one of the top ten chemicals of major public health concern. Fish consumption is known to be the main source of exposure to mercury. It has been previously established that freshwater fish of the water bodies of the Vologda Region can be a significant source of mercury exposure in the local population. Objective: To establish the relationship between hair mercury concentrations in residents of the Vologda Region and diseases of the cardiovascular system. Materials and methods: The study involved 849 participants (274 men and 575 women) aged 18 to 94 years living in the city of Cherepovets (Vologda Region: 59° 07' N 37° 54' E). Occipital hair was sampled in accordance with WHO recommendations and then tested using the RA-915M mercury analyzer with a PYRO-915+ pyrolysis attachment (measurement range: 0.002–200 mg/kg) without preliminary sample preparation, by atomic absorption with Zeeman correction of non-selective absorption. The measurement accuracy was verified using the NIMD-01 certified reference material with the mercury concentration of 0.794 ± 0.050 µg/g. Results: The mean hair mercury concentration in the study subjects from the Vologda Region was 0.572 ± 0.686 mg/kg, which is 3.5 and 1.5 times lower than safe mercury levels of 2.2 and 1 mg/kg established by WHO and US EPA, respectively. Mean hair mercury levels in the study participants with/without cardiovascular diseases were 0.646 ± 0.727 mg/kg and 0.459 ± 0.589 mg/kg, respectively. The highest mercury levels were observed in male subjects with myocardial infarction (> 0.73 mg/kg) and in females with stroke and acute coronary syndrome (> 0.687 mg/kg). Conclusions: Mercury in the hair of people with diagnosed cardiovascular diseases (myocardial infarction, acute coronary syndrome, cerebrovascular accident, unstable angina, etc.) and without them has been found. The accumulation of mercury in the body can be one of the risk factors for the development of vascular and heart diseases.

Improvement of GOCI-II Water Vapor Absorption Correction through Fusion with GK-2A/AMI Data

In remote sensing of the ocean color, in particular, in coarse-resolution global model simulations, atmospheric trace gases including water vapor are generally treated as auxiliary data, which create uncertainties in atmospheric correction. The second Korean geostationary satellite mission, Geo-Kompsat 2 (GK-2), is unique in combining visible and infrared observations from the second geostationary ocean color imager (GOCI-II) and the advanced meteorological imager (AMI) over Asia and the Pacific Ocean. In this study, we demonstrate that AMI total precipitable water (TPW) data to allow realistic water vapor absorption correction of GOCI-II color retrievals for the ocean. We assessed the uncertainties of two candidate TPW products for GOCI-II atmospheric correction using atmospheric sounding data, and then analyzed the sensitivity of four ocean-color products (remote sensing reflectance [Rrs], chlorophyll-a concentration [CHL], colored dissolved organic matter [CDOM], and total suspended sediment [TSS]) for GOCI-II water vapor transmittance correction using AMI and global model data. Differences between the TPW sources increased the mean absolute percentage error (MAPE) of Rrs from 2.97% to 6.43% in the blue to green bands, higher than the global climate observing system requirements (<5%) at 412 nm. By contrast, MAPE values of 3.53%, 6.18%, and 7.71% were increased to 6.63%, 13.53%, and 16.14% at high sun and sensor zenith angles for CHL, CDOM, and TSS, respectively. Uncertainty analysis provided similar results, indicating that AMI TPW produced approximately 3-fold lower error rates in ocean-color products than obtained using TPW values from the National Centers for Environmental Prediction. These results imply that AMI TPW can improve the accuracy and ability of GOCI-II ocean-color products to capture diurnal variability.

New approach to obtain the correct chemical compositions by absorption correction using analytical transmission electron microscopy

Analytical transmission electron microscopy (ATEM) is a powerful tool to obtain the chemical compositions of minerals at very small areas of minerals down to the nanometer scale. Most ATEM analytical systems are capable of performing quantitative calculations of chemical compositions by absorption correction. However, an appropriate procedure of obtaining the correct chemical compositions by absorption correction has not yet been established. In this study, we analyzed thin foils of garnet and olivine with known compositions and thicknesses using two different analytical systems to evaluate the certainty of the absorption correction based on the Cliff–Lorimer equation. The results show that the absorption correction using the real sample thicknesses at the analyzed spots did not yield the correct chemical compositions. The correct quantification data were obtained when using the sample thickness t corrected to minimize the value of the function SSR(t) (sum of squared residuals) = Σi [ni0－Σj nij (t)]2, where ni0 is the ideal atomic percentage of the i site, nij(t) is the atomic percentage of the j ion at the i site calculated by the software, and the sum holds all the ionic sites. Also, it was confirmed that the minimum value of the SSR obtained by calculating all existing elements as oxide (oxygen is not quantified) is in most cases smaller than that obtained by quantifying all elements, including oxygen, independently. This method of using the SSR without knowing the real thickness at the analyzed spot can be applied to the analyzed results of absorption correction by any software. Therefore, this SSR has the potential of becoming a universal indicator to assess the results of quantitative chemical analyses by absorption correction in ATEM.

Numerical and Monte Carlo Simulation for Polychromatic L-shell X-ray Fluorescence Computed Tomography Based on Pinhole Collimator with Sheet-Beam Geometry

X-ray fluorescence computed tomography (XFCT) has attracted wide attention due to its ability to simultaneously and nondestructively obtain structural and elemental distribution information within samples. In this paper, we presented an image system based on the pinhole collimator for the polychromatic L-shell XFCT to reduce time consumption and improve the detection limit. First, the imaging system model was expressed by formulas and discretized. Then, two phantoms (A and B) were scanned by numerical simulation and Monte Carlo simulation. Both phantoms with the same diameter (10 mm) and height (10 mm) were cylinders filled with PMMA, and embedded with GNP-loaded cylinders. The phantom A was inserted by six 1.5 mm-diameter cylinders with different Au concentrations ranging from 0.2% to 1.2%. The phantom B was inserted by eight cylinders with the same Au concentration (1%), but a radius ranging from 0.1 mm to 0.8 mm. Finally, the reconstruction of the XFCT images was performed using the method with and without absorption correction, respectively. The feasibility of XFCT system presented in this paper was demonstrated by the numerical simulation and the Monte Carlo simulation. The results show that absorption attenuation can be corrected by the presented method, and the contrast to noise ratio (CNR) is proportional to Au concentration but almost remains unchanged with the radius of GNP-loaded cylinders, which may provide the necessary justification for further optimization of the imaging system.

Development of a new methodology for site distribution determination by powder diffraction with anomalous scattering using focused beam and flat shape sample geometry

A new methodology of synchrotron powder diffraction with anomalous scattering for site occupancy determination has been examined. We have been developing a new Synchrotron powder diffraction geometry with focused X-ray beam, flat shape sample and area detectors. As an application of the geometry, a new methodology for site occupancy determination has been tried. The diffraction intensity ratio change against X-ray energy near an absorption edge was observed and was compared with the calculation obtained from various site distribution crystal structure models. The methodology has been successfully applied for site distribution determination of In atom in β-(Ga,In)2O3 crystal. The new methodology can obtain diffraction intensity without approximation in absorption correction and can eliminate preferred orientation effect. By the combination of these features the new methodology can be a new application of synchrotron powder diffraction with anomalous scattering.

STUDY OF THE INHOMOGENEOUS ABSORPTION OF X-RAY RADIATION BY A SPHERICAL CRYSTAL SAMPLE

When studying the absorption of X-rays, that the linear absorption coefficient is usually assumed constant throughout the entire volume of the sample under study. However, it can vary in different parts of the crystal, e.g., due to defects present or inhomogeneous inclusion of impurity and doping elements. The results of studying the features of X-ray absorption by a spherical crystalline sample under an assumption that the absorption coefficient is described by a certain function of coordinates are presented. Methods for correcting the diffraction data for such crystals, as well as numerical calculations of the absorption corrections for reflection intensities are proposed. It is shown that the inhomogeneity of absorption in a spherical sample can have a significant effect on the intensity of reflections recorded during a diffraction experiment in the framework of X-ray diffraction analysis (XKD). It is revealed that the attenuation coefficient of a diffracted beam depends on the direction of the absorption coefficient gradient. The results obtained can be used in precision X-ray diffraction analysis of the crystals of some solid solutions. The results of modeling the absorption of X-ray radiation by the samples with different laws of change in the absorption coefficient can be used to identify samples with an inhomogeneous composition.

RMG Database for Chemical Property Prediction.

The Reaction Mechanism Generator (RMG) database for chemical property prediction is presented. The RMG database consists of curated datasets and estimators for accurately predicting the parameters necessary for constructing a wide variety of chemical kinetic mechanisms. These datasets and estimators are mostly published and enable prediction of thermodynamics, kinetics, solvation effects, and transport properties. For thermochemistry prediction, the RMG database contains 45 libraries of thermochemical parameters with a combination of 4564 entries and a group additivity scheme with 9 types of corrections including radical, polycyclic, and surface absorption corrections with 1580 total curated groups and parameters for a graph convolutional neural network trained using transfer learning from a set of >130 000 DFT calculations to 10000 high-quality values. Correction schemes for solvent-solute effects, important for thermochemistry in the liquid phase, are available. They include tabulated values for 195 pure solvents and 152 common solutes and a group additivity scheme for predicting the properties of arbitrary solutes. For kinetics estimation, the database contains 92 libraries of kinetic parameters containing a combined 21 000 reactions and contains rate rule schemes for 87 reaction classes trained on 8655 curated training reactions. Additional libraries and estimators are available for transport properties. All of this information is easily accessible through the graphical user interface at https://rmg.mit.edu. Bulk or on-the-fly use can be facilitated by interfacing directly with the RMG Python package which can be installed from Anaconda. The RMG database provides kineticists with easy access to estimates of the many parameters they need to model and analyze kinetic systems. This helps to speed up and facilitate kinetic analysis by enabling easy hypothesis testing on pathways, by providing parameters for model construction, and by providing checks on kinetic parameters from other sources.

Single-layer and bilayer MoSTe for photocatalytic water splitting: Role of optical absorption correction and band edge distribution

Single-layer and bilayer Janus transition metal dichalcogenides (TMDCs) attain great attention for possible application in solar water splitting. The crucial issues for solar water splitting are the band edge positions and optical absorption of photocatalysts. However, for this large group of Janus TMDCs materials, their optical absorption correction by the effective unit cell volume and the charge distribution of band edges, were not investigated in most previous works. To clarify these issues, we herein studied the electronic and optical properties of typical single-layer and bilayer MoSTe using first-principles calculations. Remarkably, when corrected by the effective unit cell volume, the optical absorption of bilayer MoSTe is not enhanced when compared to that of single-layer MoSTe. On the other hand, single-layer MoSTe possesses no solar water-splitting ability for lack of suitable band edges, when the charge distribution of band edges is considered. Furthermore, favorable band edges for water splitting were achieved in bilayer MoSTe. In brief, this work emphasized the optical absorption correction by the effective unit cell volume and the charge distribution of band edges when searching for 2D photocatalysts stacking by Janus monolayers.

Dual-path joint correction network for underwater image enhancement.

Acquired underwater images often suffer from severe quality degradation, such as color shift and detail loss due to suspended particles' light absorption and scattering. In this paper, we propose a Dual-path Joint Correction Network (DJC-NET) to cope with the above degenerate issues, preserving different unique properties of underwater images in a dual-branch way. The design of the light absorption correction branch is to improve the selective absorption of light in water and remove color distortion, while the light scattering correction branch aims to improve the blur caused by scattering. Concretely, in the light absorption correction path, we design the triplet color feature extraction module, which balances the triplet color distribution of the degraded image through independent feature learning between R, G, and B channels. In the light scattering correction path, we develop a dual dimensional attention mechanism to extract the texture information from the features, aiming to recover sufficient details by more effective feature extraction. Furthermore, our method utilizes the multi-scale U-net to adaptively fusion features from different paths to generate enhanced images. Extensive visual and objective experimental results demonstrate that our method outperforms state-of-the-art methods in various underwater scenes.

Analysis of toxicological safety of feed by atomic absorption spectroscopy

Currently, one of the main indicators characterizing the safety of feed for productive animals is the content of toxic elements in them. According to the requirements of MDU No. 123-4 / 281-8-87 "Temporary maximum allowable level (MRL) of the content of certain chemical elements and gossypol in feed for farm animals and feed additives", mercury, cadmium, lead are of the highest veterinary, sanitary and toxicological significance, arsenic, selenium. The danger of these substances lies in the ability to accumulate in the body of an animal and cause various pathologies, affecting the urinary, hematopoietic, digestive and nervous systems, generally retard the growth and development of farm animals, reduce resistance, productivity and increase the risk of detecting toxicants in agricultural products of animal origin.The purpose of the study was to assess the safety of plant foods for the content of mercury, arsenic, selenium, lead and cadmium using atomic absorption spectroscopy. The study materials were 76 samples of various plant foods for productive animals: grass meal, linseed cake, oats, vegetable feed. The amount of toxic elements was determined according to GOST R 55447-2013 and GOST 31651-2012 using an MGA-1000 atomic absorption spectrometer with Zeeman correction of non-selective absorption (LUMEX Group of Companies).As a result of the studies, it was found that in all samples of plant-derived feed for productive animals, the amount of toxic elements did not exceed the maximum allowable level. Thus, the amount of mercury in the studied samples averaged 0.55±0.04 mg/kg, cadmium - 0.86±0.04 mg/kg, lead -0.29±0.01 mg/kg, arsenic - 0 .24±0.01 mg/kg, selenium – 0.44±0.02 mg/kg. The established concentrations of toxic elements did not exceed 1.0 mg/kg and were less than 1.5% of the maximum allowable level, which meets the requirements for the toxicological safety of feed for productive animals.

(Invited) Self-Absorption Correction in X-Ray Fluorescence Imaging

The self-absorption problem in the x-ray fluorescence (XRF) imaging community is a long-lasting and grand challenge to achieve quantitative analysis. Accurate correction is of broad interest in many disciplines, including material science, environmental science, and biology. The researchers desire to obtain a 3D structure with accurate material compositions or trace element distributions from complex 3D specimens with multi-components. We will present a generalized absorption correction method, which works broadly for 2D and 3D imaging. With the developed method, we reveal internal 3D elemental composition in a mixed ionic-electronic conductor (MIEC), which has important applications in energy conversion and catalysis, whose material functionality is intimately tied to diffusion and phase-separation at grain boundaries. By performing accurate quantification of 3D concentration over an unprecedented number of grains (i.e. a total of 340 grains), we unveil deep insights on the complex phase transformation at the grain boundaries and the mechanistic model for producing the so-called emergent phases, which plays a critical role in achieving high transport properties of the MIEC material system.

CRIRES high-resolution near-infrared spectroscopy of diffuse interstellar band profiles

Aims. A high spectral resolution investigation of diffuse interstellar bands (DIBs) in the near-infrared (YJ band) is conducted to test new methods, to confirm and improve existing parameters, and to search for new DIBs. Methods. The CRyogenic high-resolution InfraRed Echelle Spectrograph (CRIRES) on the European Southern Observatory's Very Large Telescope was employed to obtain spectra of four reddened background supergiant stars (HD 183143, HD 165784, HD 92207, HD 111613) and an unreddened comparison star (HD 87737) at the highest resolution of R ≈ 100 000 currently achievable at near-infrared wavelengths, more than twice as high as accomplished in previous near-infrared DIB studies. The correction for telluric absorption was performed by a modelling approach. Non-local thermodynamic equilibrium spectral modelling of available optical and the new near-infrared stellar spectra facilitated a comprehensive characterisation of the atmospheric properties of the background stars. As a consequence, a more precise and accurate determination of the reddening and the reddening law along the respective sight lines could be achieved than feasible before by comparison of the observed and model spectral energy distributions. For DIBs that overlap with stellar lines the DIB profile shapes could be recovered. Results. Seventeen known near-infrared DIBs were confirmed, and 12 previously unknown and generally weaker DIBs were identified in the YJ band. Three DIBs that show uniform profiles along all sight lines were identified, possibly connected to transitions from a common lower state of the same carrier. The divergent extinction curve towards the frequently discussed DIB standard star HD 183143 could be reproduced for the first time, requiring extra absorption by ~3.5 mag due to polycyclic aromatic hydrocarbons (PAHs) to match the ultraviolet extinction bump. This extra absorption probably stems from a circumstellar bubble lying in front of the star which is intersected tangentially by the line of sight, making this particular sight line more peculiar than standard.

Real-Time Monitoring of SO2 Emissions Using a UV Camera with Built-in NO2 and Aerosol Corrections.

Nitrogen dioxide (NO2) absorption correction of the sulfur dioxide (SO2) camera was demonstrated for the first time. The key to improving the measurement accuracy is to combine a differential optical absorption spectroscopy (DOAS) instrument with the SO2 camera for the real-time NO2 absorption correction and aerosol scattering correction. This method performs NO2 absorption correction by the correlation between the NO2 column density measurement of the DOAS and the NO2 optical depth of the corresponding channel from the SO2 camera at a narrow wavelength window around 310 and 310 nm. The error of correction method is estimated through comparison with only using the second channel of the traditional SO2 camera to correct for aerosol scattering and it can be reduced by 11.3% after NO2 absorption corrections. We validate the correction method through experiments and demonstrate it to be of greatly improved accuracy. The result shows that the ultraviolet (UV) SO2 camera system with NO2 absorption corrections appears to have great application prospects as a technology for visualized real-time monitoring of SO2 emissions.

Reconciling the results of the z ∼ 2 MOSDEF and KBSS-MOSFIRE Surveys

ABSTRACT The combination of the MOSDEF and KBSS-MOSFIRE surveys represents the largest joint investment of Keck/MOSFIRE time to date, with ∼3000 galaxies at 1.4 ≲ z ≲ 3.8, roughly half of which are at z ∼ 2. MOSDEF is photometric- and spectroscopic-redshift selected with a rest-optical magnitude limit, while KBSS-MOSFIRE is primarily selected based on rest-UV colours and a rest-UV magnitude limit. Analysing both surveys in a uniform manner with consistent spectral-energy-distribution (SED) models, we find that the MOSDEF z ∼ 2 targeted sample has higher median M* and redder rest U−V colour than the KBSS-MOSFIRE z ∼ 2 targeted sample, and smaller median SED-based SFR and sSFR (SFR(SED) and sSFR(SED)). Specifically, MOSDEF targeted a larger population of red galaxies with U−V and V−J ≥1.25, while KBSS-MOSFIRE contains more young galaxies with intense star formation. Despite these differences in the z ∼ 2 targeted samples, the subsets of the surveys with multiple emission lines detected and analysed in previous work are much more similar. All median host-galaxy properties with the exception of stellar population age – i.e. M*, SFR(SED), sSFR(SED), AV, and UVJ colours – agree within the uncertainties. Additionally, when uniform emission-line fitting and stellar Balmer absorption correction techniques are applied, there is no significant offset between both samples in the [O iii]λ5008/H β versus [N ii]λ6585/H α diagnostic diagram, in contrast to previously reported discrepancies. We can now combine the MOSDEF and KBSS-MOSFIRE surveys to form the largest z ∼ 2 sample with moderate-resolution rest-optical spectra and construct the fundamental scaling relations of star-forming galaxies during this important epoch.

Supramolecular Template-Assisted Catalytic [2+2] Photocycloaddition in Homogeneous Solution

Supramolecular Template-Assisted Catalytic [2+2] Photocycloaddition in Homogeneous Solution

DBSP_DRP: A Python package for automated spectroscopic data reduction of DBSP data

DBSP_DRP is a python package that provides fully automated data reduction of data taken by the Double Spectrograph (DBSP) at the 200-inch Hale Telescope at Palomar Observatory (Oke & Gunn, 1982). The underlying data reduction functionality to extract 1D spectra, perform flux calibration and correction for atmospheric absorption, and coadd spectra together is provided by PypeIt (Prochaska et al., 2020). The new functionality that DBSP_DRP brings is in orchestrating the complex data reduction process by making smart decisions so that no user input is required after verifying the correctness of the metadata in the raw FITS files in a table-like GUI. Though the primary function of DBSP_DRP is to automatically reduce an entire night of data without user input, it has the flexibility for astronomers to fine-tune the data reduction with GUIs for manually identifying the faintest objects, as well as exposing the full set of PypeIt parameters to be tweaked for users with particular science needs. DBSP_DRP also handles some of the occasional quirks specific to DBSP, such as swapping FITS header cards, adding (an) extra null byte/s to FITS files making them not conform to the FITS specification, and not writing the coordinates of the observation to file. Additionally, DBSP_DRP contains a quicklook script for making real-time decisions during an observing run, and can open a GUI displaying a minimally reduced exposure in under 15 seconds. Docker containers are available for ease of deploying DBSP_DRP in its quicklook configuration (without some large atmospheric model files) or in its full configuration.

Development and Validation of a Novel, Cost Effective UV Spectrophotometric Method for Simultaneous Estimation of Cilnidipine and Olmesartan

Cilnidipine is a novel, dihydropyridine class of calcium-channel blocker. It prevents intracellular calcium influx and results in vasodilatation. Olmesartan medoxomil is a synthetic imidazole derivative prodrug and angiotensin II type blocker used to manage hypertension. The combination of cilnidipine and olmesartan medoxomil is used in the treatment of hypertension. Literature review revealed that there are many analytical methods involving HPLC and some using UV for estimation of the two drugs individually and in combination. UV spectrophotometric methods have the advantage of being simple, cost effective and rapid. Hence it was thought worthwhile to develop a simple, cost effective UV spectrophotometric method for simultaneous estimation of cilnidipine and olmesartan medoxomil employing the Absorption Correction principle. In this method, water: methanol (80:20,v/v) was used as the diluent. From the UV overlain spectra of both the drugs 257nm and 365nm were selected as wavelengths for analysis. The method was validated using the ICH guidelines. The linearity range was established from 10-100µg/ml (r2= 0.999) for cilnidipine and 10-80 µg/ml (r2= 0.998) for olmesartan medoxomil. The developed method was found to be accurate as % recovery at 80%, 100% and 120% levels were found to be within the acceptance criteria. The results for intra-day and inter-day precision were within acceptance limits of % RSD ˂ 2%. The method was found to be sensitive and robust. The developed method was applied in the estimation of Cilnidipine and Olmesartan in tablet dosage form and % assay was found to be 100.75% and 103.8% for the two drugs respectively. Hence the developed method can be employed as a simple, cost effective, quality control analytical method for simultaneous estimation of the two drugs in bulk and in combination.

Photoproduction of relativistic QED bound states in hadronic collisions

In this paper we investigate the photoproduction of QED bound states in proton -- proton, proton -- nucleus and nucleus -- nucleus collisions at RHIC, LHC and FCC energies considering an accurate treatment of the absorptive corrections and for the nuclear form factor. The total cross sections for the production of singlet and triplet $(l^+ l^-)$ states, with $l = e,\, \mu, \, \tau$, are estimated and a detailed analysis of the photoproduction of singlet QED bound states is performed considering the rapidity ranges covered by central and forward detectors. The impact of the Coulomb corrections on the parapositronium production in heavy ion collisions is estimated. We predict a large number of events associated to the production of ($e^+ e^-$) and ($\mu^+ \mu^-$) states in hadronic collisions.