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13 pages, 8017 KB  
Article
Au-SnOx Hybrid Nanoparticles Encaged in Hollow Mesoporous Silica Nanoreactors for Catalytic Reduction of p-Nitrophenol
by Qifan Zhao, Kaijie Li, Hongbo Yu and Hongfeng Yin
Catalysts 2026, 16(5), 480; https://doi.org/10.3390/catal16050480 - 20 May 2026
Abstract
p-nitrophenol (p-NP) is a pollutant with environmental persistence, bioaccumulation potential, and significant health risks, and is widely dispersed in wastewater, so efficient removal of p-NP is imperative. Among the various methods, the catalytic reduction of p-NP to p [...] Read more.
p-nitrophenol (p-NP) is a pollutant with environmental persistence, bioaccumulation potential, and significant health risks, and is widely dispersed in wastewater, so efficient removal of p-NP is imperative. Among the various methods, the catalytic reduction of p-NP to p-aminophenol (p-AP) using sodium borohydride (NaBH4) is a particularly promising one and, herein, catalysts play a crucial role. Among the various metals, Au shows unique catalytic activity for p-NP reduction. However, nanosized Au often exhibit limited activity and stability due to their high surface free energy. To address this challenge, we designed and synthesized Au-SnOx hybrid nanoparticles confined within hollow mesoporous silica nanoreactors (Au-SnOx@hm-SiO2) via a soft-template-assisted co-adsorption strategy. The resulting bimetallic Au-SnOx@hm-SiO2 nanoreactor showed significantly enhanced catalytic activity toward the NaBH4-mediated reduction of p-nitrophenol (p-NP) compared with its monometallic Au@hm-SiO2 counterpart, owing to the synergistic effect between Au and SnOx. Among various Au/Sn ratios, the catalyst with an Au/Sn molar ratio of 1:0.1 demonstrated the highest activity, achieving complete conversion of p-NP within 5 min at a p-NP/Au molar ratio of 529:1—a tenfold improvement over Au@hm-SiO2. Moreover, the catalyst maintained high efficiency over six consecutive cycles, with only slight deactivation, benefiting from the protective silica shell. Full article
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27 pages, 4365 KB  
Article
Integrated Geospatial Assessment of Soil Erosion, Water Quality, and Sediment Fertility for Sustainable Hill Reservoir Management in Arid Catchments: A Case Study of the Es-Sabba Watershed, Naama Province, Southwestern Algeria
by Mohammed Khelifi, Abdessamed Derdour, Tayeb Nouri, Tayyib Moussaoui, Said Bouarfa, Sanliana, Wan Abd Al Qadr Imad Wan-Mohtar, Bilel Zerouali and Yong Jie Wong
Hydrology 2026, 13(5), 129; https://doi.org/10.3390/hydrology13050129 - 11 May 2026
Viewed by 884
Abstract
Small hill reservoirs in arid North Africa face accelerating threats from soil erosion and siltation, yet integrated assessments linking erosion dynamics, water quality, and soil fertility remain scarce. This study presents a multi-component geospatial assessment of the 345 km2 Es-Sabba watershed in [...] Read more.
Small hill reservoirs in arid North Africa face accelerating threats from soil erosion and siltation, yet integrated assessments linking erosion dynamics, water quality, and soil fertility remain scarce. This study presents a multi-component geospatial assessment of the 345 km2 Es-Sabba watershed in the Saharan Atlas of southwestern Algeria. Soil loss was quantified using the revised universal soil loss equation (RUSLE) integrated with Sentinel-2 imagery, a 30 m digital elevation model (DEM), and GIS analysis for 2016–2025. The mean annual soil loss reached 26.3 t/ha/yr, with 68.4% of the watershed under high-to-severe erosion; topography and vegetation cover were the dominant controls. Estimated sediment delivery to the reservoir is 135,300 t/yr, projecting a functional lifespan of 11–15 years without intervention. Hydrochemical analysis classified reservoir water as alkaline- and sulfate-rich, yet suitable for irrigation with very low sodicity risk (sodium adsorption ratio, SAR = 0.08) and an excellent Irrigation Water Quality Index (IWQI = 91.75). Soils exhibited low-to-moderate fertility (mean soil fertility index, SFI = 0.416), with widespread nitrogen deficiency constraining vegetation-based erosion control. The integrated framework identifies circular-economy opportunities through nutrient-rich sediment reuse and provides actionable guidance for climate-resilient reservoir management in arid catchments. Full article
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12 pages, 3955 KB  
Communication
Microstructural Refinement of Electroless Ni-P Amorphous Composite Coatings on Carbon Fibers Induced by Al2O3 Nanoparticles Dispersed with a PEG/NNO Additive
by Yongjie Zhao, Weixin Ge, Tiebao Wang, Pan Gong, Wei Yang, Lichen Zhao and Xin Wang
Inorganics 2026, 14(5), 119; https://doi.org/10.3390/inorganics14050119 - 22 Apr 2026
Viewed by 1448
Abstract
Controlling the microstructure of electroless nickel coatings is crucial for optimizing the interfacial properties of carbon fibers. However, a systematic understanding of how dispersants can effectively leverage the refining effect of nanoparticles in composite plating systems remains lacking. This paper proposes the use [...] Read more.
Controlling the microstructure of electroless nickel coatings is crucial for optimizing the interfacial properties of carbon fibers. However, a systematic understanding of how dispersants can effectively leverage the refining effect of nanoparticles in composite plating systems remains lacking. This paper proposes the use of a composite dispersant, comprising polyethylene glycol (PEG) and sodium methylene bis-naphthalene sulfonate (NNO) at a 1:1 mass ratio, for nano-Al2O3 to achieve microstructure refinement of nickel coatings on carbon fiber surfaces. The results demonstrate that the composite dispersant modifies the surface state and dispersion stability of Al2O3 particles through synergistic adsorption, thereby regulating the nucleation and growth behavior of the Ni-P alloy. At an optimal composite dispersant concentration of 3 g/L, the coating exhibits the most compact structure, with Ni-P particle size refined to approximately 181 nm. The coating consists of two phases: crystalline Ni3P and amorphous Ni-P. The dual adsorption effect of the dispersant—inhibiting Al2O3 agglomeration while improving the surface wettability of carbon fibers—is key to enhancing the refinement efficiency. Conversely, excessive dispersant addition leads to deteriorated coating quality. This study provides experimental evidence for understanding the multiphase interfacial interaction mechanism involving organic additives, nanoparticles, and metal deposition, and offers a novel strategy for controlling the surface functionalization of carbon fibers. Full article
(This article belongs to the Special Issue Recent Research and Application of Amorphous Materials, 2nd Edition)
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26 pages, 6310 KB  
Article
Hydrochemical Characterization and Origins of Groundwater in the Semi-Arid Batna Belezma Region Using PCA and Supervised Machine Learning
by Zineb Mansouri, Abdeldjalil Belkendil, Haythem Dinar, Hamdi Bendif, Anis Ahmad Chaudhary, Ouafa Tobbi and Lotfi Mouni
Water 2026, 18(8), 969; https://doi.org/10.3390/w18080969 - 19 Apr 2026
Viewed by 494
Abstract
In the semi-arid Batna Belezma region of northeastern Algeria, groundwater is a vital resource for agriculture and drinking water. However, the climate leads to intense evaporation, which affects its quality. This study aims to identify the key hydrogeochemical processes that control groundwater composition [...] Read more.
In the semi-arid Batna Belezma region of northeastern Algeria, groundwater is a vital resource for agriculture and drinking water. However, the climate leads to intense evaporation, which affects its quality. This study aims to identify the key hydrogeochemical processes that control groundwater composition in the Merouana Basin and to evaluate the predictive performance of machine learning (ML) models. A total of 30 groundwater samples were analyzed using multivariate statistical techniques, including Principal Component Analysis (PCA), and were modeled using PHREEQC to assess mineral saturation states. Additionally, ML-based regression models, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGB),were employed to predict groundwater chemistry. The results indicate that the dominant ion distribution follows the following trend: Ca2+ > Mg2+ > Na+ and HCO3 > SO42− > Cl. Alkaline earth metals (Ca2+ and Mg2+) constitute the major fraction of total dissolved cations, reflecting carbonate equilibrium and dolomite dissolution processes. In contrast, Na+ represents a smaller proportion of the cationic load; however, its hydro-agronomic significance is substantial due to its influence on sodium adsorption ratio (SAR) and soil permeability. The PHREEQC modeling showed that calcite and dolomite precipitation promote evaporite dissolution, while most samples remain undersaturated with respect to gypsum. The PCA results reveal high positive loadings of Mg2+, Cl, SO42−, HCO3, and EC, suggesting that ion exchange and seawater mixing are the primary controlling processes, with carbonate weathering playing a secondary role. To enhance predictive assessment, several supervised machine learning models were tested. Among them, the Random Forest model achieved the highest predictive performance (R2 = 0.96) with low RMSE and MAE values, confirming its robustness and reliability. The results indicate that silicate weathering and mineral dissolution are the primary mechanisms governing groundwater chemistry. The integration of multivariate statistics and machine learning provides a comprehensive understanding of groundwater evolution and offers a reliable predictive framework for sustainable water resource management in semi-arid environments. Geochemical model performance showed a high global accuracy (GPI = 0.91), confirming a strong agreement between observed and simulated chemical data. However, the HH value (0.81) indicates some discrepancies, particularly for specific ions or extreme conditions. Full article
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19 pages, 12167 KB  
Article
Evaluation of Hydrochemical Characteristics and Irrigation Suitability of Mine Water from the Feicheng Coal Mine
by Dejun Lian, Lei Ma, Ying Su, Baoxing Zhang, Xinxiu Liu, Qing Yang, Yingquan Wang, Man Mei, Yiming Hu, Zongjun Gao and Jiutan Liu
Water 2026, 18(8), 962; https://doi.org/10.3390/w18080962 - 18 Apr 2026
Viewed by 258
Abstract
For the purpose of investigating the hydrochemical signatures and formation processes of mine water at the Feicheng Coal Mine, a total of 61 samples, including fifth limestone water (FLW), old goaf water (OGW), and ordovician limestone water (OLW), were collected and examined via [...] Read more.
For the purpose of investigating the hydrochemical signatures and formation processes of mine water at the Feicheng Coal Mine, a total of 61 samples, including fifth limestone water (FLW), old goaf water (OGW), and ordovician limestone water (OLW), were collected and examined via statistical and hydrochemical approaches. The assessment of mine water suitability for irrigation employed sodium percentage (Na%), sodium adsorption ratio (SAR), permeability index (PI), and magnesium hazard ratio (MHR). The mine water proves slightly alkaline, featuring Na+ as the leading cation and SO42−/HCO3 as the leading anions. By average concentration, cations decrease in the order Na+ > Ca2+ > Mg2+, and anions decrease as SO42− > HCO3 > Cl. The hydrochemical types of OLW and FLW samples were primarily Ca-HCO3 and Ca-Mg-Cl, whereas the OGW samples were predominantly of the Na-Cl-SO4 and Na-HCO3 types. Rock weathering serves as the main control on water chemistry, with hydrochemical components sourced largely from evaporite and carbonate dissolution. The sodium present in the water is likely attributable to silicate mineral dissolution or cation exchange processes. Cation exchange, with forward exchange dominant, is also a key hydrogeochemical process in the study area. SI results reveal that calcite and dolomite have reached saturation, while gypsum and halite remain undersaturated and tend to dissolve further. Irrigation suitability assessments indicate that most of the water quality in the Feicheng Coal Mine is excellent or good. A limited number of samples exhibited relatively high salinity, and most of them can be directly irrigated. To this end, this study proposes targeted treatment solutions, thus facilitating mine water development and utilization. Full article
(This article belongs to the Topic Advances in Hydrogeological Research)
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39 pages, 4643 KB  
Article
Machine Learning-Based Prediction of Irrigation Water Quality Index with SHAP Interpretability: Application to Groundwater Resources in the Semi-Arid Region, Algeria
by Mohamed Azlaoui, Salah Karef, Atif Foufou, Nadjib Haied, Nesrine Azlaoui, Abdelaziz Rabehi, Mustapha Habib and Aziez Zeddouri
Water 2026, 18(8), 959; https://doi.org/10.3390/w18080959 - 17 Apr 2026
Viewed by 544
Abstract
In semi-arid regions, sustainable groundwater management for irrigation is critical for agricultural productivity and food security. This study presents an integrated methodological framework combining hydrochemical characterization, machine learning (ML) modeling, and explainable artificial intelligence (XAI) to predict the Irrigation Water Quality Index (IWQI) [...] Read more.
In semi-arid regions, sustainable groundwater management for irrigation is critical for agricultural productivity and food security. This study presents an integrated methodological framework combining hydrochemical characterization, machine learning (ML) modeling, and explainable artificial intelligence (XAI) to predict the Irrigation Water Quality Index (IWQI) in the Ain Oussera plain, Djelfa Province, Algeria. A total of 191 groundwater samples were collected from November 2023 to September 2024 and analyzed for major ions and physicochemical parameters. Multiple irrigation suitability indices were calculated, including Sodium Adsorption Ratio (SAR), Sodium Percentage (Na%), Magnesium Hazard (MH), Permeability Index (PI), Residual Sodium Carbonate (RSC), Soluble Sodium Percentage (SSP), and Kelly’s Ratio (KR). Five ML models were developed and evaluated for IWQI prediction: Random Forest, Gradient Boosting, XGBoost, K-Nearest Neighbors, and Support Vector Regression. Results showed that 55% of groundwater samples exhibited low to no restrictions for irrigation use, while 19% required high to severe restrictions. The XGBoost model demonstrated superior performance, with the highest R2 (0.95) and the lowest RMSE (3.22) among all tested algorithms. SHAP (SHapley Additive exPlanations) analysis provided a transparent interpretation of model predictions, identifying electrical conductivity and Sodium Adsorption Ratio as the most influential parameters affecting IWQI, while chloride, sodium, total hardness, and magnesium had minimal impact. Spatial mapping using Inverse Distance Weighting (IDW) interpolation in ArcGIS 10.8 revealed considerable spatial variability in water quality throughout s the plain. This research addresses a critical gap in North African groundwater management by integrating ML predictive capabilities with XAI transparency, providing water resource managers and agricultural stakeholders with interpretable, data-driven tools for sustainable irrigation planning in water-stressed semi-arid environments. Full article
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22 pages, 2127 KB  
Article
Interfacial and Bulk Properties of Volatile Amphiphiles and Sodium Dodecyl Sulfate Mixtures
by Ralitsa Uzunova, Rumyana Stanimirova and Krassimir Danov
Molecules 2026, 31(8), 1256; https://doi.org/10.3390/molecules31081256 - 10 Apr 2026
Viewed by 493
Abstract
Volatile amphiphiles and surfactant mixtures have gained wide applications in diverse areas of industry, cosmetics, and medicine. The surface tension isotherms, measured at different solute ratios, and data processing, using appropriate theoretical models, provide quantitative information on their bulk and interfacial properties. Here, [...] Read more.
Volatile amphiphiles and surfactant mixtures have gained wide applications in diverse areas of industry, cosmetics, and medicine. The surface tension isotherms, measured at different solute ratios, and data processing, using appropriate theoretical models, provide quantitative information on their bulk and interfacial properties. Here, this approach is applied for mixtures of volatile amphiphile (benzyl acetate, linalool, geraniol, menthol, citronellol) and sodium dodecyl sulfate (SDS). All surface tension isotherms are described by the van der Waals model for a two-component adsorption layer, taking into account the counterion binding in the Stern layer, by varying only one adjustable parameter (interfacial pair interaction energy between adsorbed molecules). Knowing the parameters of the model, we computed various properties of the adsorption layers (adsorptions of different components, occupancy of the Stern layer, and interfacial electrostatic potential). The experimental aqueous solubilities of mixtures are fitted using the regular solution theory to obtain the pair bulk interaction parameter. The mixing of SDS and: (i) benzyl acetate and citronellol is antagonistic; (ii) linalool and geraniol is synergistic; and (iii) menthol is ideal. The reported properties of the volatile amphiphiles and SDS mixtures could be of interest for increasing the range of their applicability in practice. Full article
(This article belongs to the Section Physical Chemistry)
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22 pages, 2691 KB  
Article
Enhanced Wastewater Purification Using Biochar, Activated Carbon, and Kaolinite Composites: A Multi-Parameter Approach for Sustainable Agriculture
by Doaa Yousef, Abdelaal S. A. Ahmed, Abdelrahman M. Hamed, Mohammed Abdelmotallieb and Mohamed E. A. El-Sayed
Sustainability 2026, 18(8), 3696; https://doi.org/10.3390/su18083696 - 9 Apr 2026
Viewed by 403
Abstract
Rising population pressures have intensified the need to reuse wastewater, which increases exposure to microbial and heavy metal contamination, negatively impacting ecosystems and human health. Heavy metals in wastewater present a major environmental concern. This study examines the adsorption capacities and efficiencies of [...] Read more.
Rising population pressures have intensified the need to reuse wastewater, which increases exposure to microbial and heavy metal contamination, negatively impacting ecosystems and human health. Heavy metals in wastewater present a major environmental concern. This study examines the adsorption capacities and efficiencies of individual and combined adsorbents—activated carbon (AC), biochar (BC), and kaolinite (KA)—for removing heavy metals, organic matter, salinity, and pathogens from wastewater. Wastewater samples were treated in column adsorption systems and analyzed before and after treatment using physicochemical and microbiological methods. The composite adsorbent (AC + BC + KA) performed best, reducing electrical conductivity by 75% (from 4.0 to 1.0 mS/cm), total dissolved solids from 2560 mg/L to 915.2 mg/L, and sodium adsorption ratio from 27.14 to 7.06. The pH remained within the optimal irrigation range (7.66). The system removed up to 85.87% of heavy metals (Cu2+, Cd2+, Mn2+, Zn2+) and 100% of pathogenic bacteria (E. coli, Shigella spp., and B. cereus). The microporous structure of AC provides large surface areas for pollutant trapping through adsorption, while BC introduces functional groups that enhance contaminant capture. The combination of these materials offers an eco-friendly and effective method for wastewater purification. Full article
(This article belongs to the Special Issue Sustainable Research Progress on Treatment of Wastewater)
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15 pages, 2400 KB  
Article
Biochar Improved Saline–Alkali Barrier and Sunflower Yield Under Drip Irrigation
by Tian Lan, Yan Wu, Tele Ba, An Xing, Zhaoming Wang, Adu Ergu, Lihong Tong, Mengzhu Song, Lechuan Zhang and Mei Hong
Agronomy 2026, 16(6), 593; https://doi.org/10.3390/agronomy16060593 - 10 Mar 2026
Viewed by 606
Abstract
Soil salinization is a major challenge affecting crop yield in arid and semi-arid regions. Amendments to agricultural soil under drip irrigation represent a potential strategy to ameliorate soil salinization. This study conducted a field experiment over two years to identify the impacts of [...] Read more.
Soil salinization is a major challenge affecting crop yield in arid and semi-arid regions. Amendments to agricultural soil under drip irrigation represent a potential strategy to ameliorate soil salinization. This study conducted a field experiment over two years to identify the impacts of desulfurized gypsum, biochar, and straw on sunflower yield and soil characteristics in salinized and alkalized soil. Soil amelioration significantly improved soil characteristics by reducing saline–alkali stress at a 0–15 cm soil depth. Increased and decreased surface soil moisture and density of soil bulk were achieved by the second year, respectively, through the application of straw and biochar. These soil amendments also significantly decreased soil electrical conductivity and pH, and the application of biochar significantly reduced the sodium adsorption ratio (SAR refers to the adsorption ratio of sodium ions to other ions in soil) and Na+ by 32.1% and 34.7%, respectively, compared with drip irrigation alone. Application of desulfurized gypsum combined with drip irrigation decreased soil pH, SAR, and Na+ by 0.25, 41.6%, and 38.1%, respectively, compared with drip irrigation alone. The three soil amendments significantly increased sunflower yields by 51.2–80.0% in the second year, with the biochar treatment showing the most significant impact. The results showed that combined biochar and drip irrigation could play an important role in ameliorating soil salinization in the Hetao Irrigation Area, thereby contributing to increased crop yields and sustainable agriculture. However, given the relatively short experimental duration and the single location of this study, as well as the lack of long-term monitoring of salt balance and drainage conditions, further research with extended timelines, expanded geographic coverage, and focused assessment of salt dynamics is needed to confirm and generalize these findings. Full article
(This article belongs to the Special Issue Advances in Soil Remediation Techniques for Degraded Land)
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25 pages, 2877 KB  
Article
Kinetic and Thermodynamic Studies of Methylene Blue Adsorption on Biomass-Derived Biocarbon Materials
by Dorota Paluch, Aleksandra Bazan-Wozniak, Agnieszka Nosal-Wiercińska and Robert Pietrzak
Int. J. Mol. Sci. 2026, 27(5), 2270; https://doi.org/10.3390/ijms27052270 - 28 Feb 2026
Viewed by 480
Abstract
In this study, biocarbon adsorbents were obtained from fennel and caraway seeds through microwave-assisted chemical activation with sodium carbonate. The activation process involved carbonizing the raw material at 300 °C for 30 min., followed by impregnation with sodium carbonate at a precursor-to-activator mass [...] Read more.
In this study, biocarbon adsorbents were obtained from fennel and caraway seeds through microwave-assisted chemical activation with sodium carbonate. The activation process involved carbonizing the raw material at 300 °C for 30 min., followed by impregnation with sodium carbonate at a precursor-to-activator mass ratio of 1:2. Activation was performed at two distinct temperatures—500 °C and 600 °C—with an activation time of 15 min. The structural, textural, and surface chemical characteristics of the obtained biocarbons were investigated using complementary analytical techniques, including low-temperature nitrogen adsorption–desorption isotherms, X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), X-ray diffraction (XRD), Boehm titration, and pH analysis of aqueous extracts. The resulting adsorbents demonstrated low development of specific surface area (109–154 m2/g) and limited sorption capacity for methylene blue (20–32 mg/g). Adsorption experiments indicated that the Freundlich isotherm model most accurately described the data, suggesting multilayer adsorption on heterogeneous surfaces. Thermodynamic evaluations showed the adsorption to be both spontaneous and endothermic. The adsorption mechanism is primarily governed by electrostatic interactions between the cationic dye and surface functional groups, π–π interactions with the carbon structure, and diffusion within mesopores. This study provides a comparative evaluation of microwave-assisted Na2CO3 activation of fennel and caraway seed waste and assesses the potential of these biochars for dye removal from aqueous solutions. Full article
(This article belongs to the Collection Feature Papers in 'Physical Chemistry and Chemical Physics')
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20 pages, 4699 KB  
Article
Soil Infiltration Capacity Affected by Salinization Degree in Soda Saline–Alkali Soils of the Songnen Plain, China
by Yufeng Bai, Rao Fu, Xu Zhang and Yixing Guan
Water 2026, 18(4), 478; https://doi.org/10.3390/w18040478 - 13 Feb 2026
Viewed by 848
Abstract
Understanding the differences in the infiltration processes of soda saline–alkali soils with varying degrees of salinization and their underlying mechanisms is of great significance for the rational use of regional soil and water resources. This study was conducted in the Songnen Plain, one [...] Read more.
Understanding the differences in the infiltration processes of soda saline–alkali soils with varying degrees of salinization and their underlying mechanisms is of great significance for the rational use of regional soil and water resources. This study was conducted in the Songnen Plain, one of the world’s three major saline–alkali soil distribution areas, where the salt composition is dominated by sodium bicarbonate and sodium carbonate. Five types of soda saline–alkali soils with different degradation levels were selected from the study area. Using a one-dimensional vertical constant-head single-ring infiltration method, characteristic parameters of the infiltration process were measured through in situ experiments. Based on principal component analysis (PCA), a comprehensive multi-parameter infiltration capacity index (SICI) was constructed. Pathway analysis was further employed to explore the potential relationship between soil physical and saline–alkali characteristics and the infiltration process. The results showed that compared to the initial infiltration rate, the steady-state infiltration rates of the five soils decreased significantly by 41.81%, 64.87%, 97.20%, 99.24%, and 99.59%, respectively. Notably, the steady-state infiltration rate of the most severely degraded saline–alkali soil (Suaeda glauca) was only 0.13 mm·h−1. Correspondingly, Suaeda glauca soil exhibited the lowest SICI. Correlation and pathway analyses indicated that SICI was significantly associated with physical and saline–alkali parameters of the soda saline–alkali soils. Besides the direct associations of the fractal dimension of particle size distribution (D), non-capillary porosity (NCP), and salt content (SC) on SICI, D was also linked to lower SICI indirectly through its relationship with NCP, sodium adsorption ratio (SAR), and SC. The findings suggest that soil physical structure, particularly the fractal dimension of particle size distribution and pore characteristics, appears to be a primary factor influencing the infiltration capacity of highly soda saline–alkali soils, and that improving soil texture structure and enhancing soil porosity could be prioritized in the restoration and management of severely degraded soda saline–alkali lands. Full article
(This article belongs to the Section Soil and Water)
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18 pages, 4031 KB  
Article
A Keratin-Waste Derived Multifunctional Gel System: Reusable Activated Carbon/Alginate Microbeads for Simultaneous Dye and Pharmaceutical Adsorption
by Yue Wang, Lei Zhao, Zhiying Li, Qingqing Xue, Zhenhao Tang, Ge Zhang, Zhiqiang Li and Zifan Wang
Gels 2026, 12(2), 158; https://doi.org/10.3390/gels12020158 - 11 Feb 2026
Viewed by 538
Abstract
The resource utilization of keratin waste has garnered significant attention, yet the processing of yak hair keratin in underdeveloped regions such as Tibet and Qinghai in China remains challenging. This study addresses these concerns by carbonizing yak hair keratin waste using a steam [...] Read more.
The resource utilization of keratin waste has garnered significant attention, yet the processing of yak hair keratin in underdeveloped regions such as Tibet and Qinghai in China remains challenging. This study addresses these concerns by carbonizing yak hair keratin waste using a steam flash explosion (SFE) technique for 150 s, which is followed by activation with KOH at various ratios and subsequent to produce activated carbon (AC) samples. The AC was then combined with sodium alginate (Alg) at different ratios, pH and applied voltage to yield AC−Alg gel microbeads using an electrospinning method. The characterization of the AC and AC–Alg gel microbeads was conducted using SEM, BET, TG, and FT-IR analysis. In adsorption studies, AC−Alg0.5U gel microbeads prepared with optimized conditions (pH 7, 11 kV, 19 G needle) were used to remove dyes (methylene blue (MB) and methyl orange (MO)) and antibiotic minocycline hydrochloride (MH). Various parameters such as temperature, pH, and adsorbent dose were optimized to obtain the maximum adsorption performance under model concentrations. The experimental results showed that the AC−Alg0.5U gel microbeads can effectively adsorb MB and MO with adsorption capacities of 1038.9 mg/g and 206.2 mg/g, respectively. Moreover, the microbeads had the best adsorption performance for MH (1694.2 mg/g), with the kinetics most accurately represented by the pseudo-second-order kinetic model (R2 = 0.999), and the isotherm followed the Langmuir model (R2 = 0.984). The microbeads maintained a high adsorption capacity of 75% after six cycles. The composite gel microbeads not only utilize yak hair keratin waste but also will be used as durable and favorable adsorbents for the removal of pollutants. Full article
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23 pages, 7140 KB  
Article
Comparative Study of the Structural and Adsorptive Performance of Biomass-Derived Graphene Materials
by Makpal Seitzhanova, Zhanar Kudyarova, Yerlan Doszhanov, Bibigul Rakhimova, Svetlana Aleshkova and Zhandos Tauanov
Molecules 2026, 31(4), 586; https://doi.org/10.3390/molecules31040586 - 8 Feb 2026
Cited by 1 | Viewed by 522
Abstract
This study presents the development of an environmentally benign and economically viable methodology for the synthesis of graphene-containing carbon materials derived from renewable agricultural residues, specifically walnut shells, rice husks, and apricot stones. The proposed synthesis route involves sequential stages of controlled pre-carbonization, [...] Read more.
This study presents the development of an environmentally benign and economically viable methodology for the synthesis of graphene-containing carbon materials derived from renewable agricultural residues, specifically walnut shells, rice husks, and apricot stones. The proposed synthesis route involves sequential stages of controlled pre-carbonization, desilicification, chemical activation with potassium hydroxide (KOH), and subsequent mild exfoliation, resulting in the formation of few-layer graphene with a high degree of structural ordering. Pre-carbonization carried out at 523–573 K, followed by activation at 1123 K, yields graphene sheets exhibiting a specific surface area of 1300–1800 m2/g, a carbon content of 60–90%, and an average pore diameter below 100 nm. The synthesized materials were subjected to comprehensive physicochemical characterization using BET surface area analysis, Raman spectroscopy, FTIR spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and atomic absorption flame emission spectrophotometry. Raman spectroscopic analysis revealed an I_G/I_2D intensity ratio of approximately 1.5–2.0, indicating the presence of graphene structures consisting of approximately four to five layers. To enhance adsorption performance, the graphene-containing carbon materials were further functionalized with sulfuric acid, and the successful incorporation of surface functional groups was confirmed by FTIR spectroscopy. The adsorption properties of the functionalized graphene-containing carbon materials were evaluated in aqueous solutions containing sodium, potassium, calcium, and magnesium salts, demonstrating adsorption efficiencies of up to 80%. Compared to conventional biomass-derived graphene synthesis methods, the developed approach produces materials with enhanced porosity, higher graphitic ordering, and improved chemical purity. These characteristics highlight the strong potential of the synthesized graphene-containing carbon materials for applications in energy storage systems, adsorption-based water purification technologies, and environmentally sustainable nanotechnological applications. Full article
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14 pages, 1799 KB  
Article
Contrasting Effects of Desulfurization Gypsum and Aluminum Sulfate Application in Rice Cultivation on Soil Salinity and Sodicity on the Songnen Plain of Northeast China
by Yang Li, Jiaqi Xu, Linlin Fu, Jiaming Fan, Junhua Zhang, Juan Zhang and Qingfeng Meng
Agronomy 2026, 16(4), 406; https://doi.org/10.3390/agronomy16040406 - 8 Feb 2026
Viewed by 643
Abstract
Soil salinization has become a major threat affecting global arable productivity. Rice cultivation with amendment application is considered an important approach for saline–sodic soil reclamation. Saline–sodic soil without vegetation was selected as the study subject to investigate the effects of amendments in rice [...] Read more.
Soil salinization has become a major threat affecting global arable productivity. Rice cultivation with amendment application is considered an important approach for saline–sodic soil reclamation. Saline–sodic soil without vegetation was selected as the study subject to investigate the effects of amendments in rice cultivation on salinity and sodicity through a pot experiment. The results revealed that the application of desulfurization gypsum combined with aluminum sulfate to saline–sodic soil significantly contributed to decreases in soil salinity and sodicity. The soil pH in the 0–10 cm, 10–20 cm and 20–30 cm soil layers decreased from 9.41–9.84 to 8.06–9.24, whereas the exchangeable sodium percentage (ESP) decreased from 28.98–33.24% to 19.76–30.82%, respectively. The increase in soil exchangeable Ca2+ was accompanied by a decrease in soil exchangeable Na+. Additionally, the application of desulfurization gypsum combined with aluminum sulfate to saline–sodic soil resulted in significant decreases in total alkalinity (TA) and the sodium adsorption ratio (SAR) and an increase in soluble Ca2+. The analysis indicated that soluble Ca2+ derived from desulfurization gypsum is the predominant factor affecting the variation in the soil pH, ESP, SAR, and exchangeable Na+ and Ca2+. The reductions in salinity and sodicity are attributed to the replacement of Ca2+ derived from desulfurization gypsum with Na+ on soil collides. Simultaneously, H+ formed by the hydrolysis of aluminum sulfate neutralizes HCO3 and CO32− in the water layer. Full article
(This article belongs to the Special Issue Advances in Soil Remediation Techniques for Degraded Land)
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Article
Hydrochemical Appraisal of Groundwater Quality for Managed Aquifer Recharge (MAR) in Southern Punjab, Pakistan
by Ghulam Zakir-Hassan, Lee Baumgartner, Catherine Allan and Jehangir F. Punthakey
Geosciences 2026, 16(1), 43; https://doi.org/10.3390/geosciences16010043 - 14 Jan 2026
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Abstract
Water quality assessment is crucial for the sustainable use and management of groundwater resources. This study was carried out in the irrigated plains of Vehari District, Punjab, Pakistan, to evaluate groundwater suitability for a managed aquifer recharge (MAR) project. Twenty groundwater samples were [...] Read more.
Water quality assessment is crucial for the sustainable use and management of groundwater resources. This study was carried out in the irrigated plains of Vehari District, Punjab, Pakistan, to evaluate groundwater suitability for a managed aquifer recharge (MAR) project. Twenty groundwater samples were collected in June 2021 from an area of 1522 km2 and analysed for major physicochemical parameters including electrical conductivity (EC), total dissolved solids (TDS), pH, turbidity, calcium (Ca), magnesium (Mg), chloride (Cl), alkalinity (Alk), bicarbonate (HCO3), hardness, potassium (K), sulphate (SO42−), sodium (Na), and nitrate (NO3). Water quality was assessed using WHO and PID standards, alongside derived hydrochemical indices such as sodium percentage (%Na), Kelly’s ratio (KR), sodium adsorption ratio (SAR), residual sodium carbonate (RSC), and the water quality index (WQI). The dataset was interpreted using geo-statistical, geospatial, multivariate, and correlation analyses. Cations and anion dominance followed the order Na+ > Ca2+ > Mg2+ > K+ and HCO3 > SO42− > Cl > NO3. According to the WQI analysis, 35% of the water samples are classified as “poor,” half (50%) as “very poor,” and the remaining 15% as “unsuitable” for drinking purposes. However, irrigation suitability indices confirmed that groundwater is generally acceptable for agricultural use, though unfit for drinking. The outcomes of this study provide essential insights for groundwater management in the region, where the Punjab Irrigation Department (PID) has initiated a MAR project. Considering that the irrigation sector is the major groundwater consumer in the area, the compatibility of groundwater and surface water quality supports the implementation of MAR to enhance agricultural sustainability. Full article
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