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13 pages, 2265 KB  
Article
Molecular Design of Benzothiadiazole-Fused Tetrathiafulvalene Derivatives for OFET Gas Sensors: A Computational Study
by Xiuru Xu and Changfa Huang
Sensors 2025, 25(19), 6190; https://doi.org/10.3390/s25196190 - 6 Oct 2025
Abstract
Due to their unique advantages—such as small size, easy integration, flexible wearability, low power consumption, high sensitivity, and material designability—organic field-effect transistor (OFET) gas sensors have significant application potential in fields such as environmental detection, smart healthcare, robotics, and artificial intelligence. Benzothiadiazole fused [...] Read more.
Due to their unique advantages—such as small size, easy integration, flexible wearability, low power consumption, high sensitivity, and material designability—organic field-effect transistor (OFET) gas sensors have significant application potential in fields such as environmental detection, smart healthcare, robotics, and artificial intelligence. Benzothiadiazole fused tetrathiafulvalenes (TTF) are promising organic semiconductor candidates due to their abundant S atoms and planar π-π conjugation skeletons. We designed a series of derivatives by side-chain modification, and conducted systematic computations on TTF derivatives, including reported and newly designed materials, to analyze how geometric factors affect the charge transport properties of materials at the PBE0/6-311G(d,p) level. The frontier molecular orbitals (FMOs) and reorganization energy indicate that the designed derivatives are promising candidates for organic semiconductor sensing materials. Furthermore, theoretical calculations reveal that the designed TTF derivatives are sensitive to gases like NH3, H2S, and SO2, indicating organic field-effect transistors (OFETs) with gas-sensing functions. Full article
(This article belongs to the Section Chemical Sensors)
14 pages, 2101 KB  
Article
Molecular Design of H2 Storage/Release Devices: A Direct Ab Initio MD Study
by Hiroto Tachikawa
Nanomaterials 2025, 15(19), 1498; https://doi.org/10.3390/nano15191498 - 1 Oct 2025
Abstract
To advance a hydrogen-based energy society, the development of efficient hydrogen storage materials is essential. In particular, such materials are expected to be lightweight and chemically stable. Moreover, they must allow for easy storage and release of hydrogen. In this study, we theoretically [...] Read more.
To advance a hydrogen-based energy society, the development of efficient hydrogen storage materials is essential. In particular, such materials are expected to be lightweight and chemically stable. Moreover, they must allow for easy storage and release of hydrogen. In this study, we theoretically designed hydrogen storage and release devices based on graphene (GR)—a lightweight and chemically stable material—using a direct ab initio molecular dynamics (AIMD) approach. The target reaction in this study is the hydrogen abstraction from hydrogenated graphene, H-(GR)-H, by hydrogen atom, resulting in molecular hydrogen formation: H-(GR)-H + H → GR-H + H2. Hydrogen atom (H) can be readily generated through the discharge of H2 gas. The calculated activation energy was −0.3 kcal/mol. The direct AIMD calculations showed that the hydrogen abstraction reaction proceeds without the activation barrier, and H2 is easily formed by the collision of H atom with the H-(GR)-H surface. For comparison, the addition reaction of hydrogen atom to the graphene surface was investigated: GR + H → GR–H. The activation energies were calculated to be 5–7 kcal/mol. These energetic profiles indicate that both hydrogen storage and release proceed with low and negative activation energies, respectively. On the basis of these calculations, H2-storage/release device was theoretically designed. Full article
(This article belongs to the Special Issue 2D Materials for Energy Conversion and Storage)
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18 pages, 3872 KB  
Article
Predicting the Bandgap of Graphene Based on Machine Learning
by Qinze Yu, Lingtao Zhan, Xiongbai Cao, Tingting Wang, Haolong Fan, Zhenru Zhou, Huixia Yang, Teng Zhang, Quanzhen Zhang and Yeliang Wang
Physchem 2025, 5(4), 41; https://doi.org/10.3390/physchem5040041 - 1 Oct 2025
Abstract
Over the past decade, two-dimensional materials have become a research hotspot in chemistry, physics, materials science, and electrical and optical engineering due to their excellent properties. Graphene is one of the earliest discovered 2D materials. The absence of a bandgap in pure graphene [...] Read more.
Over the past decade, two-dimensional materials have become a research hotspot in chemistry, physics, materials science, and electrical and optical engineering due to their excellent properties. Graphene is one of the earliest discovered 2D materials. The absence of a bandgap in pure graphene limits its application in digital electronics where switching behavior is essential. In the present study, researchers have proposed a variety of methods for tuning the graphene bandgap. Machine learning methodologies have demonstrated the capability to enhance the efficiency of materials research by automating the recording of characteristic parameters from the discovery and preparation of 2D materials, property calculations, and simulations, as well as by facilitating the extraction and summarization of governing principles. In this work, we use first principle calculations to build a dataset of graphene band gaps under various conditions, including the application of a perpendicular external electric field, nitrogen doping, and hydrogen atom adsorption. Support Vector Machine (SVM), Random Forest (RF), and Multi-Layer Perceptron (MLP) Regression were utilized to successfully predict the graphene bandgap, and the accuracy of the models was verified using first principles. Finally, the advantages and limitations of the three models were compared. Full article
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16 pages, 3608 KB  
Article
Study on Electrochemical Corrosion Behavior of Plasma Sprayed Al2O3-3%TiO2 Coatings Doped with CeO2 for Long-Term Immersion
by Jiahang Yan, Yu Zhang, Pengyu Dai, Lin Zhao, Xin Wang and Xiaohong Yi
Materials 2025, 18(19), 4532; https://doi.org/10.3390/ma18194532 - 29 Sep 2025
Abstract
The long-term corrosion behavior of Al2O3-3%TiO2 (AT3) coatings doped with1%, 5% and 8% CeO2 prepared by plasma spraying was studied in 5% NaCl solution. The results showed that the protective performance of CeO2-doped coatings was [...] Read more.
The long-term corrosion behavior of Al2O3-3%TiO2 (AT3) coatings doped with1%, 5% and 8% CeO2 prepared by plasma spraying was studied in 5% NaCl solution. The results showed that the protective performance of CeO2-doped coatings was significantly higher than that of undoped coatings, primarily due to the reduction in coating porosity caused by the addition of rare-earth elements. Among the doped coatings, the 5% CeO2-doped coating exhibited the best protective performance. The addition of rare-earth oxides CeO2 reduced the content of γ-Al2O3 in the coating, but when the concentration of CeO2 increased to 8%, the Ce element was rich in the gap of the coating. Excessive CeO2 enriched in the gaps and coexisted more with Ti, and prevented the formation of the AlTi phase, which affected the performance of the coating. Electrochemical and XPS results revealed that an appropriate amount of Ce atoms or CeO2 particles could fill the pores of the coating. During long-term immersion, Ce (IV) was converted to Ce (III), which demonstrated that Ce atoms have high chemical activity in coatings. The thermodynamic calculation results show that more CeO2 particles improved the adsorption of corrosive ions. It indicated that the content of doped rare-earth oxides exceeding 5% would be utilized as an active material in the corrosive process. Full article
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13 pages, 3426 KB  
Article
Loss Separation Modeling and Optimization of Permalloy Sheets for Low-Noise Magnetic Shielding Devices
by Yuzheng Ma, Minxia Shi, Yachao Zhang, Teng Li, Yusen Li, Leran Zhang and Shuai Yuan
Materials 2025, 18(19), 4527; https://doi.org/10.3390/ma18194527 - 29 Sep 2025
Abstract
With the breakthroughs in quantum theory and the rapid advancement of quantum precision measurement sensor technologies, atomic magnetometers based on the spin-exchange relaxation-free (SERF) mechanism have played an increasingly important role in ultra-weak biomagnetic field detection, inertial navigation, and fundamental physics research. To [...] Read more.
With the breakthroughs in quantum theory and the rapid advancement of quantum precision measurement sensor technologies, atomic magnetometers based on the spin-exchange relaxation-free (SERF) mechanism have played an increasingly important role in ultra-weak biomagnetic field detection, inertial navigation, and fundamental physics research. To achieve high-precision measurements, SERF magnetometers must operate in an extremely weak magnetic field environment, while the detection of ultra-weak magnetic signals relies on a low-noise background. Therefore, accurate measurement, modeling, and analysis of magnetic noise in shielding materials are of critical importance. In this study, the magnetic noise of permalloy sheets was modeled, separated, and analyzed based on their measured magnetic properties, providing essential theoretical and experimental support for magnetic noise evaluation in shielding devices. First, a single-sheet tester (SST) was modeled via finite element analysis to investigate magnetization uniformity, and its structure was optimized by adding a supporting connection plate. Second, an experimental platform was established to verify magnetization uniformity and to perform accurate low-frequency measurements of hysteresis loops under different frequencies and field amplitudes while ensuring measurement precision. Finally, the Bertotti loss separation method combined with a PSO optimization algorithm was employed to accurately fit and analyze the three types of losses, thereby enabling precise separation and calculation of hysteresis loss. This provides essential theoretical foundations and primary data for magnetic noise evaluation in shielding devices. Full article
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15 pages, 9756 KB  
Article
Interaction of Oxygen Molecules with Fe Atom-Doped γ-Graphyne Surfaces: First-Principles Calculations
by Bin Zhao, Jiayi Yin, Zhuoting Xiong, Wentao Yang, Peng Guo, Meng Li, Haoxian Zeng and Jianjun Wang
Nanomaterials 2025, 15(19), 1479; https://doi.org/10.3390/nano15191479 - 27 Sep 2025
Abstract
The activation and dissociation of O2 molecules play a key role in the oxidation of toxic gas molecules and the oxygen reduction reaction (ORR) in hydrogen–oxygen fuel cells. The interactions between O2 molecules and the surfaces of Fe-doped γ-graphyne were systematically [...] Read more.
The activation and dissociation of O2 molecules play a key role in the oxidation of toxic gas molecules and the oxygen reduction reaction (ORR) in hydrogen–oxygen fuel cells. The interactions between O2 molecules and the surfaces of Fe-doped γ-graphyne were systematically explored, mainly adopting the combined method of the density functional theory with dispersion correction (DFT-D3) and the climbing image nudged elastic band (CI-NEB) method. The order of the formation energy values of these defective systems is Ef(FeC2) < Ef(FeC1) < Ef(FeD1) < Ef(VC1) < Ef(VD1) < Ef(VC2) < Ef(FeD2) < Ef(VD2), which indicates that the process of Fe dopant atoms substituting single-carbon atoms/double-carbon atoms is relatively easier than the formation of vacancy-like defects. The results of ab initio molecular dynamics (AIMD) simulations confirm that the doped systems can maintain structural stability at room temperature conditions. Fe-doped atoms transfer a certain amount of electrons to the adsorbed O2 molecules, thereby causing an increase in the O-O bond length of the adsorbed O2 molecules. The electrons obtained by the anti-bonding 2π* orbitals of the adsorbed O2 molecules are mainly derived from the 3d orbitals of Fe atoms. There is a competitive relationship between the substrate’s carbon atoms and the adsorbed O2 molecules for the charges transferred from Fe atoms. In the C1 and C2 systems, O2 molecules have a greater advantage in electron accepting ability compared to the substrate’s carbon atoms. The elongation of O-O bonds and the amount of charge transfer exhibit a positive relationship. More electrons are transferred from Fe-3d orbitals to adsorbed O2 molecules, occupying the 2π* orbitals of adsorbed O2 molecules, further elongating the O-O chemical bond until it breaks. The dissociation process of adsorbed O2 molecules on the surfaces of GY-Fe systems (C2 and D2 sites) involves very low energy barriers (0.016 eV for C2 and 0.12 eV for D2). Thus, our studies may provide useful insights for designing catalyst materials for oxidation reactions and the oxygen reduction reaction. Full article
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11 pages, 1746 KB  
Article
DFT-Based Analysis on Structural, Electronic and Mechanical Properties of NiCoCr Medium-Entropy Alloy with C/N/O
by Shuqin Cheng, Yunfeng Luo, Yufan Yao, Yiren Wang and Fuhua Cao
Materials 2025, 18(19), 4494; https://doi.org/10.3390/ma18194494 - 26 Sep 2025
Abstract
This study employs first-principles calculations combined with the Special Quasirandom Structure (SQS) technique to investigate the impact of three interstitial elements C, N, and O, on the mechanical properties and stacking fault energy (SFE) of NiCoCr medium-entropy alloys. The results indicate that non-metallic [...] Read more.
This study employs first-principles calculations combined with the Special Quasirandom Structure (SQS) technique to investigate the impact of three interstitial elements C, N, and O, on the mechanical properties and stacking fault energy (SFE) of NiCoCr medium-entropy alloys. The results indicate that non-metallic O, C, and N tend to occupy octahedral interstitial sites, which can effectively release stress concentration and enhance the strength and deformability of the material. Differential charge density analysis shows that the dissolution of C, N, and O significantly alters the surrounding electronic environment, strengthening the interaction between solute atoms and metal atoms, thereby hindering dislocation glide and increasing the strength and hardness of the material. Elastic property analysis indicates that NiCoCr alloys doped with C, N, and O exhibit good ductility and anisotropic characteristics. Furthermore, the study of stacking fault energy reveals that the doping with C, N, and O can significantly increase the stacking fault energy of NiCoCr alloys, thereby optimizing their mechanical properties. These findings provide theoretical evidence for the design of advanced high-entropy alloys that combine high strength with good ductility. Full article
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27 pages, 601 KB  
Review
Temperature Dependence of the Response Functions of Graphene: Impact on Casimir and Casimir–Polder Forces in and out of Thermal Equilibrium
by Galina L. Klimchitskaya and Vladimir M. Mostepanenko
Physics 2025, 7(4), 44; https://doi.org/10.3390/physics7040044 - 26 Sep 2025
Abstract
We review and as well obtain some new results on the temperature dependence of spatially nonlocal response functions of graphene and their applications to the calculation of both the equilibrium and nonequilibrium Casimir and Casimir–Polder forces. After a brief summary of the properties [...] Read more.
We review and as well obtain some new results on the temperature dependence of spatially nonlocal response functions of graphene and their applications to the calculation of both the equilibrium and nonequilibrium Casimir and Casimir–Polder forces. After a brief summary of the properties of the polarization tensor of graphene obtained within the Dirac model in the framework of quantum field theory, we derive the expressions for the longitudinal and transverse dielectric functions. The behavior of these functions at different temperatures is investigated in the regions below and above the threshold. Special attention is paid to the double pole at zero frequency, which is present in the transverse response function of graphene. An application of the response functions of graphene to the calculation of the equilibrium Casimir force between two graphene sheets and the Casimir–Polder forces between an atom (nanoparticle) and a graphene sheet is considered with due attention to the role of a nonzero energy gap, chemical potential and a material substrate underlying the graphene sheet. The same subject is discussed for out-of-thermal-equilibrium Casimir and Casimir–Polder forces. The role of the obtained and presented results for fundamental science and nanotechnology is outlined. Full article
(This article belongs to the Section Condensed Matter Physics)
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15 pages, 2896 KB  
Article
Platinum Atom-Functionalized Carbon Nanotubes as Efficient Sensors for CO and CO2: A Theoretical Investigation
by Natalia P. Boroznina, Sergey V. Boroznin, Irina V. Zaporotskova, Pavel A. Zaporotskov, Dmitry F. Sergeev, Govindhasamy Murugadoss, Nachimuthu Venkatesh and Shaik Gouse Peera
Inventions 2025, 10(5), 86; https://doi.org/10.3390/inventions10050086 - 26 Sep 2025
Abstract
This study presents a theoretical investigation of platinum-modified single-wall carbon nanotubes (SWCNTs) of types (6.0) and (6.6) for their potential application as gas sensor materials. Quantum chemical calculations using density functional theory (DFT) were performed to evaluate the interaction mechanisms with carbon monoxide [...] Read more.
This study presents a theoretical investigation of platinum-modified single-wall carbon nanotubes (SWCNTs) of types (6.0) and (6.6) for their potential application as gas sensor materials. Quantum chemical calculations using density functional theory (DFT) were performed to evaluate the interaction mechanisms with carbon monoxide (CO) and carbon dioxide (CO2) molecules. The results revealed that pristine SWCNTs exhibit weak and unstable interactions with CO and CO2, indicating limited sensing capabilities. However, the modification with platinum atoms significantly enhanced their adsorption properties. The most energetically favorable configuration was found when the platinum atom was located at the center of a C–C bond on the SWCNT surface, ensuring the stability of the metal-functionalized system. The Pt-modified SWCNTs exhibited stable sorption interactions with CO and CO2, characterized by weak van der Waals forces, enabling the reusability of the sensor without contamination. Additionally, the adsorption of these gas molecules induced changes in the band gap of the nanocomposite system, indicating a variation in conductivity upon gas exposure. The distinct band gap changes for the CO and CO2 adsorption suggest the selectivity of the sensor towards each gas. Overall, the results demonstrate that platinum modification effectively enhances the sensing performance of SWCNTs, paving the way for the development of highly sensitive and selective nanosensors for CO and CO2 detection based on changes in electronic properties upon gas adsorption. Full article
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15 pages, 3399 KB  
Article
Predictive Value of Arterial Enhancement Fraction Derived from Dual-Layer Spectral Computed Tomography for Thyroid Microcarcinoma
by Yuwei Chen, Jiayi Yu, Liang Lv, Zuhua Song, Jie Huang, Bi Zhou, Xinghong Zou, Ya Zou and Dan Zhang
Diagnostics 2025, 15(19), 2427; https://doi.org/10.3390/diagnostics15192427 - 23 Sep 2025
Viewed by 87
Abstract
Background/Objectives: Accurately distinguishing malignancy in thyroid micronodules (≤10 mm) is crucial for clinical management, yet it is challenging due to the limitations of conventional ultrasonography-guided biopsy. This study aims to evaluate the predictive value of dual-layer spectral computed tomography (DSCT)-derived arterial enhancement fraction [...] Read more.
Background/Objectives: Accurately distinguishing malignancy in thyroid micronodules (≤10 mm) is crucial for clinical management, yet it is challenging due to the limitations of conventional ultrasonography-guided biopsy. This study aims to evaluate the predictive value of dual-layer spectral computed tomography (DSCT)-derived arterial enhancement fraction (AEF) in diagnosing thyroid microcarcinomas. Methods: In the study, 321 pathologically confirmed thyroid micronodules (benign = 131, malignant = 190) from Chongqing General Hospital underwent preoperative DSCT. Quantitative parameters of DSCT, including the normalized iodine concentration (NIC), normalized effective atomic number (NZeff), and slope of the spectral Hounsfield unit curve (λHU(40–100)), were assessed. Both single-energy CT (SECT)-derived AEF (AEFS) and DSCT-derived AEF (AEFD) were calculated. Conventional image features included microcalcifications and enhancement blurring. Correlation between AEFD and AEFS was determined using Spearman’s correlation coefficient. Diagnostic performance was evaluated by calculating the area under the curve (AUC) using receiver operating characteristic (ROC) analysis. Results: Malignant micronodules exhibited significantly lower AEFD (0.958 vs. 1.259, p < 0.001) and AEFS (0.964 vs. 1.436, p < 0.001) versus benign nodules. Arterial phase parameters—APλHU(40–100), APNIC, APNZeff—differed significantly between groups (all p < 0.001), whereas venous phase parameters (VPλHU(40–100), VPNIC, VPNZeff) showed no differences (all p > 0.05). Multivariate analysis revealed that λHU(40–100) as an independent predictor of malignancy, with an odds ratio (OR) of 0.600 (95% confidence interval (CI): 0.437–0.823; p = 0.002) and an AUC of 0.752 (95% CI: 0.698–0.806). A significant positive correlation was identified between AEFD and AEFS (r = 0.710; p < 0.001). For diagnosing malignancy, AEFD demonstrated superior overall performance (AUC: 0.794; sensitivity: 70.5%; specificity: 81.7%; accuracy: 75.1%) to AEFS (0.753; 71.1%; 74.0%; 72.3%), APλHU(40–100) (0.752; 68.9%; 75.6%; 71.7%), and calcification (0.573; 21.6%; 92.4%; 50.5%). Clinically, AEFD reduced the unnecessary biopsy rate to 18.3%, preventing 107 procedures in our cohort. Conclusions: AEFD and AEFS demonstrated strong correlation and comparable diagnostic performance in the evaluation of thyroid micronodules. Furthermore, AEFD showed favorable diagnostic efficacy compared to both spectral parameters and conventional imaging feature. More importantly, the application of AEFD significantly reduced unnecessary biopsy rates, highlighting its clinical value in optimizing patient management. Full article
(This article belongs to the Special Issue Thyroid Cancer: Types, Symptoms, Diagnosis and Management)
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11 pages, 1849 KB  
Article
Theoretical Study on the Electronic Structure of Fe(0)–, Pd(0)–, and Pt(0)–Phosphine–Carbon Dioxide Complexes
by Tímea R. Kégl and Tamás Kégl
Chemistry 2025, 7(5), 152; https://doi.org/10.3390/chemistry7050152 - 22 Sep 2025
Viewed by 206
Abstract
The activation of carbon dioxide by transition metal complexes is a fundamental process in catalysis and carbon capture. In this study, density functional theory (DFT) calculations, combined with Quantum Theory of Atoms in Molecules (QTAIM) and Natural Orbitals for Chemical Valency (NOCV) analyses, [...] Read more.
The activation of carbon dioxide by transition metal complexes is a fundamental process in catalysis and carbon capture. In this study, density functional theory (DFT) calculations, combined with Quantum Theory of Atoms in Molecules (QTAIM) and Natural Orbitals for Chemical Valency (NOCV) analyses, were employed to investigate the bonding characteristics and electronic structure of Fe(0)–, Pd(0)–, and Pt(0)–phosphine complexes with CO2. The Fe(0) complexes exhibited the strongest CO2 activation, characterized by substantial C=O bond elongation, significant charge transfer, and strong π-backdonation. In contrast, Pd(0) complexes showed minimal CO2 activation, while Pt(0) complexes displayed intermediate behavior. The electronic effects of phosphine ligands were also analyzed, revealing that electron-donating phosphines enhance CO2 activation, whereas electron-withdrawing phosphines weaken metal–CO2 interactions. These findings provide key insights into the design of transition-metal-based catalysts for CO2 conversion and utilization. Full article
(This article belongs to the Section Theoretical and Computational Chemistry)
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19 pages, 4914 KB  
Article
Development of a Portable Calibration Chamber for PM Sensors Equipped with Wireless Connectivity Controlled by a Graphical Interface in Python
by Daniel Cuevas-González, Martín Aarón Sánchez-Barajas, Marco A. Reyna, Juan Pablo García-Vázquez, Eladio Altamira-Colado and Roberto L. Avitia
Environments 2025, 12(9), 338; https://doi.org/10.3390/environments12090338 - 21 Sep 2025
Viewed by 277
Abstract
The health impact of air pollutants has generated a trend in the design and manufacture of portable, personal and fixed PM monitoring systems to help reduce exposure to air pollutants. However, these devices still need to be improved and properly evaluated to compete [...] Read more.
The health impact of air pollutants has generated a trend in the design and manufacture of portable, personal and fixed PM monitoring systems to help reduce exposure to air pollutants. However, these devices still need to be improved and properly evaluated to compete with environmental monitors in the market. In this work, a test chamber with controlled environmental conditions and wireless connectivity is developed for the evaluation of low-cost portable and personal PM sensors. The developed system ensures rapid evaluation tests ranging from seconds to hours to corroborate prolonged operation and correct calibration. The system is controlled by a Python-based graphical user interface (GUI) and monitors PM concentration, altitude, relative humidity, atmospheric pressure, illuminance, and temperature measurements. Fifty measurement tests with a duration of 10 min each were conducted to ensure robust performance and data transfer. Subsequently, four calibration tests were conducted using two SENSIRION SPS30 (SPS A and SPS B) personal PM sensors and two PMS5003 (PMS A and PMS B) personal PM sensors. The Prana Air PAS-OUT-01 sensor served as the reference to calculate the correlations and the descriptive statistics between each sensor to be calibrated. A contamination source was employed utilizing a monodispersed aerosol generator for 0.46 µm latex polystyrene particle atomization. Linear regression was applied during the calibration to determine the calibration coefficients, which were then used to adjust the sensor readings in the respective code and descriptive statistics of the sensor calibration tests were calculated. For the PMS5003 sensors, the Pearson correlation coefficients (r) after calibration were PMS A: 0.9870 and PMS B: 0.9898 compared to their uncalibrated values of PMS A: 0.9828 and PMS B: 0.9863. In contrast, the uncalibrated SPS A sensor initially had a correlation of 0.9939, which slightly decreased to 0.9917 after calibration. Meanwhile, the uncalibrated SPS B sensor showed a correlation of 0.9422, which improved to 0.9715 after calibration. Full article
(This article belongs to the Special Issue Ambient Air Pollution, Built Environment, and Public Health)
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10 pages, 746 KB  
Article
Are Algae a Good Source of Antioxidants? Mechanistic Insights into Antiradical Activity of Eckol
by Maciej Spiegel
Int. J. Mol. Sci. 2025, 26(18), 9223; https://doi.org/10.3390/ijms26189223 - 21 Sep 2025
Viewed by 286
Abstract
Eckol (Eck), a polyphenolic compound of marine origin, exhibits strong scavenging activity against hydroperoxyl radicals. This study explores its acid-base speciation in aqueous media and evaluates its antioxidant potential through electronic, thermochemical, and kinetic analyses under biologically relevant conditions. The deprotonated [...] Read more.
Eckol (Eck), a polyphenolic compound of marine origin, exhibits strong scavenging activity against hydroperoxyl radicals. This study explores its acid-base speciation in aqueous media and evaluates its antioxidant potential through electronic, thermochemical, and kinetic analyses under biologically relevant conditions. The deprotonated species of Eck display exceptionally high rate constants for hydrogen atom transfer, indicating a potent antiradical mechanism. The apparent rate constant, accounting for species distribution at physiological pH and the molar fraction of OOH, was calculated as 1.09 × 107 M−1·s−1. Compared to related compounds, Eck demonstrates outstanding hydroperoxyl radical-scavenging capacity, supporting its potential as a natural antioxidant in biological systems. Full article
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22 pages, 6698 KB  
Article
Photocatalytic Optimization of ATiO3 Codoped with Se/Zr: A DFT Study for Hydrogen Production
by Abdellah Bouzaid, Younes Ziat and Hamza Belkhanchi
Materials 2025, 18(18), 4389; https://doi.org/10.3390/ma18184389 - 19 Sep 2025
Viewed by 220
Abstract
Recent advances in energy conversion technologies, especially solar-driven photocatalytic water splitting, are vital for satisfying the increasing global need for sustainable and clean energy. Perovskite oxides have attracted considerable attention among photocatalytic materials due to their tunable electronic structures, exceptional stability, and promise [...] Read more.
Recent advances in energy conversion technologies, especially solar-driven photocatalytic water splitting, are vital for satisfying the increasing global need for sustainable and clean energy. Perovskite oxides have attracted considerable attention among photocatalytic materials due to their tunable electronic structures, exceptional stability, and promise for effective hydrogen generation and environmental remediation. In this study, the optoelectronic and photocatalytic (PC) characteristics of ATiO3 (A = Ca, Mg) perovskites, undoped and codoped with Se and Zr, have been analyzed using ab initio simulations based on the density functional theory (DFT). The calculated formation energies for codoped systems range from −1.01 to −3.32 Ry/atom, confirming their thermodynamic stability. Furthermore, band structure calculations indicate that the undoped compounds CaTiO3 and MgTiO3 possess indirect band gaps of 2.766 eV and 2.926 eV, respectively. In contrast, codoping alters the electronic properties by changing the band gap from indirect to direct and reducing its energy, resulting in the direct band gap values 2.153 eV, 1.374 eV, 2.159 eV, and 1.726 eV for the compounds Ca8Ti7Zr1O23Se1, Ca8Ti6Zr2O22Se2, Mg8Ti7Zr1O23Se1, and Mg8Ti6Zr2O22Se2, respectively. Additionally, this codoping improves light absorption and optical conductivity in the visible and ultraviolet ranges. These enhancements become increasingly evident with elevated dopant concentrations, leading to intensified light–matter interactions. Analysis of the band edge potentials reveals that the Se-/Zr-codoped CaTiO3 compounds satisfy the necessary criteria for the photodissociation of water, conferring on them an ability to generate H2 and O2 under light irradiation. However, under different pH conditions, Se-/Zr-codoped MgTiO3 is expected to perform better at higher pH levels, while Se-/Zr-codoped CaTiO3 is more effective at lower pH levels. These findings highlight the promise of codoped materials for renewable energy applications, such as solar-driven hydrogen production and optoelectronic devices, with pH being a critical factor in enhancing their photocatalytic performance. Full article
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20 pages, 6784 KB  
Article
Thermal Decomposition Mechanism of PF5 and POF3 with Carbonate-Based Electrolytes During Lithium-Ion Batteries’ Thermal Runaway
by Yao Tian, Xiaotiao Zhan, Yuxin Zhang, Zhen Qiao, Yuxiang Lu, Qing Xia, Jian Lu, Xia Zhang and Zhaoyang Chen
Fire 2025, 8(9), 370; https://doi.org/10.3390/fire8090370 - 19 Sep 2025
Viewed by 370
Abstract
Against the background of the accelerating global transition towards a low-carbon energy system, the lithium-ion battery (LIB) industry has witnessed a rapid development. Concurrently, fire accidents in LIB application scenarios have occurred frequently, with safety issues becoming increasingly prominent. Thermal runaway of LIBs [...] Read more.
Against the background of the accelerating global transition towards a low-carbon energy system, the lithium-ion battery (LIB) industry has witnessed a rapid development. Concurrently, fire accidents in LIB application scenarios have occurred frequently, with safety issues becoming increasingly prominent. Thermal runaway of LIBs is the direct cause of such fires. During the thermal runaway process of LIBs, lithium salts in the electrolyte undergo thermal decomposition reactions with carbonate-based electrolytes, releasing a large amount of heat and fire gases. Among them, the thermal decomposition reactions of LiPF6 with electrolytes are coupled and superimposed, exhibiting a significant synergistic effect. This paper employs quantum chemical calculation methods to investigate the thermal decomposition reaction mechanisms between PF5 and POF3, which generated from the thermal decomposition of LiPF6 and carbonate-based electrolytes (EC, DMC, and DEC) during the thermal runaway process of LIBs; and presents detailed chemical reaction mechanism models. The P atoms in PF5 or POF3 combine with the O atoms of the ether oxygen groups in carbonates, while the F atoms combine with the C atoms adjacent to the ether oxygen groups. This promotes the ring-opening or chain scission of carbonate molecules, reduces the energy required for the reaction, and accelerates the thermal decomposition reaction and the generation of fire gases. Modification of EC, DMC, and DEC through fluorination can effectively inhibit the catalytic effect of PF5 and POF3 and improve the oxidation resistance and thermal stability of the electrolytes. Full article
(This article belongs to the Special Issue Advances in New Energy Materials and Fire Safety)
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