International Journal of Environmental Science and Technology最新文献

{"title":"Biogenic synthesis of iron oxide nanoparticles by damask rose (Rosa damascena Mill.) waste","authors":"R. Abolghasemi,&nbsp;M. Solgi","doi":"10.1007/s13762-026-07456-y","DOIUrl":"10.1007/s13762-026-07456-y","url":null,"abstract":"<div><p>Green synthesis of iron oxide nanoparticles is an environmentally sustainable approach, especially using agricultural waste. In this study, iron oxide nanoparticles were synthesized using <i>Rosa damascena</i> extract from rosewater processing residues, and their structural and physicochemical properties were analyzed. Due to their intrinsically magnetic nature (confirmed by magnetite crystal structure), biocompatibility, and versatile surface chemistry, these nanoparticles are promising candidates for potential future applications in medicine, water purification, and environmental remediation. FeCl₃·6H₂O and waste damask rose extract were used to synthesize iron oxide nanoparticles under regulated heating and constant stirring. Iron oxide nanoparticle formation was indicated by a color shift from yellowish to black. The 2:1 (V/V) precursor ratio exhibited the highest absorbance intensity, and UV–Visible spectroscopy revealed distinctive absorption bands in the 390–450 nm range. Fe–O stretching vibrations and bioactive functional groups from the plant extract were verified by FTIR analysis, suggesting successful surface capping. With an average crystallite size of approximately 55 nm, XRD patterns showed diffraction peaks corresponding to the spinel structure of magnetite (Fe₃O₄). Due to magnetic interactions and high surface energy, SEM images revealed irregularly shaped nanoparticles with partial agglomeration. The results demonstrated that using waste damask rose extract as a stabilizing agent, crystalline iron oxide nanoparticles can be successfully synthesized in a green manner. The formation of magnetite-type iron oxide nanoparticles was confirmed by the combined characterization techniques, and the 2:1 precursor ratio improves stability and crystallinity.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthetic storm technique and machine learning algorithms for rain attenuation characterization across selected locations in tropical Nigeria","authors":"A G Ashidi,&nbsp;I A Adeola","doi":"10.1007/s13762-026-07484-8","DOIUrl":"10.1007/s13762-026-07484-8","url":null,"abstract":"<div><p>One of the major problems of wireless communication systems is rain attenuation, especially in tropical and sub-tropical areas of Nigeria. Interactions between the water molecules and electromagnetic radiation leads to the scattering and absorption of radio signals, and a reduction in their amplitude and strength. This study employs a hybrid approach of the Synthetic Storm Technique (SST) and the Machine Learning (ML) models for rain attenuation characterization and prediction across eight (8) selected locations in Nigeria. Ten (10) years rain rate statistics, at 30 min integration time, were obtained from the archive of the Global Precipitation Mission (GPM) of National Aeronautics and Space Administration (NASA), and converted to 1 min integration time for the period between January 2010 and December 2019. ITU-R P.618–13 and Synthetic Storm Technique (SST) models were used for the computation of rain specific attenuation and rain attenuation timeseries for each station. The rain attenuation timeseries were grouped into two categories A and B, and fed into four (4) supervised machine learning algorithms for model development and implementation, respectively. Findings demonstrate that the hybrid SST-ML model is capable of recreating predicted rain attenuation across various climatic regions, and the best performing ML model is the RF with minimal RMSE values of 0.015388 and 0.799156 in Ilorin and Sokoto, respectively, and R² values approaching unity across many of the stations. The study underscores the need for satellite services operators to embrace site-specific, machine-learning-based fade margin analysis for Nigeria to achieve 99.99% link availability at Ku-band frequencies and above.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivariate geospatial assessment of landslide susceptibility and environmental controls in the Latyan Dam Basin, Iran","authors":"M. Ghadimi,&nbsp;A. Pourkarim,&nbsp;E. Moghimi","doi":"10.1007/s13762-026-07482-w","DOIUrl":"10.1007/s13762-026-07482-w","url":null,"abstract":"<div><p>Landslides are major geomorphological hazards in mountainous environments, resulting from complex interactions among climatic, topographic, geological, hydrological, and anthropogenic factors. This study assesses landslide susceptibility and its environmental controls in the Latyan Dam Basin, northern Iran, using an integrated geographic information system-based multivariate framework. Twelve conditioning factors representing topography, hydrology, vegetation, land use, geology, and human influence were incorporated into logistic regression and compared with Elastic Net logistic regression, spline logistic regression, Random Forest, and Histogram-based Gradient Boosting. Model performance was evaluated using repeated buffered spatial cross-validation at the whole-event level to minimize spatial leakage. The log-transformed logistic regression model achieved moderate discrimination, with a median area under the receiver operating characteristic curve of 0.713 across 100 repeated whole-event holdouts. Elevation, slope, and distance to rivers were the strongest contributors to spatially transferable discrimination, followed by lithology and normalized difference vegetation index. Principal Component Analysis and Redundancy Analysis further characterized the environmental structure and occurrence-associated gradients underlying landslide distribution. The resulting susceptibility map identified selected steep valley-side sectors, including parts of the northern and southern reservoir margins and the southeastern study area, as higher-susceptibility zones, while approximately 40% of the terrestrial domain was classified as very low susceptibility. The March 2006 landslide was predominantly located within moderate to very high susceptibility terrain, providing an event-scale consistency check rather than independent validation. These findings highlight the importance of whole-event spatial validation for obtaining robust and defensible estimates of landslide susceptibility and spatial transferability in complex mountainous catchments.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PECVD plasma‑deposited fluorinated amorphous carbon on PVDF membranes for enhanced oil–water emulsion separation with high efficiency","authors":"Z. Kiamehr,&nbsp;M. Shafiee,&nbsp;B. Shokri,&nbsp;S. A. Razavi Rad","doi":"10.1007/s13762-026-07419-3","DOIUrl":"10.1007/s13762-026-07419-3","url":null,"abstract":"<div><p>This study presents a plasma-assisted approach to enhance the antifouling behavior and durability of polyvinylidene fluoride (PVDF) membranes for oily wastewater treatment. Microporous PVDF membranes were modified by plasma-enhanced chemical vapor deposition (PECVD), which enabled the deposition of fluorinated amorphous carbon nanostructures using CF₄ and acetylene as precursor gases. An argon plasma pretreatment was introduced to improve the adhesion and stability of the deposited layer on the polymer surface. Under the optimized plasma conditions of 40 W, 70 mTorr, and 30 min, the treatment produced a uniform fluorinated carbon coating that markedly changed the surface properties of the membrane without damaging its structural integrity. Surface characterization confirmed the formation of CF_₂-rich fluorinated structures, as evidenced by the characteristic C–F stretching band at around 1076 cm⁻¹ in the FTIR spectra, while Raman analysis indicated the presence of a homogeneous amorphous carbon layer. SEM images showed that the pore structure of the membrane remained largely preserved, whereas AFM analysis revealed a clear smoothing effect, with surface roughness decreasing from approximately 580–168 nm. Following plasma modification, the water contact angle increased from about 60° for the pristine membrane to nearly 141°, indicating a substantial increase in surface hydrophobicity. Although minor structural changes were associated with the thin coating layer, the membranes retained effective permeability and showed markedly improved separation performance. The pure water flux stabilized at around 18 L m⁻² h⁻¹, while salt rejection increased from approximately 65% for the pristine membrane to about 99% after modification, indicating improved selectivity. The modified membranes also achieved oil–water separation efficiencies close to 99% for a range of industrial oils and maintained stable performance over repeated operating cycles. Long-term stability tests further demonstrated the robustness of the plasma-modified surface, as the membranes preserved hydrophobicity above 140° and showed complete flux recovery after thermal regeneration at 80 °C. Mechanical testing confirmed that PECVD treatment did not compromise membrane strength, with tensile strength and elongation at break remaining essentially unchanged. These findings show that PECVD-deposited fluorinated amorphous carbon offers an effective surface-engineering strategy for fabricating durable antifouling PVDF membranes with stable separation performance. The combined improvements in hydrophobicity, rejection efficiency, surface smoothness, and regeneration behavior highlight the promise of plasma-engineered membranes for oil–water separation applications, although further validation beyond the laboratory scale will be required to assess their broader practical feasibility.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Alleviating cadmium toxicity in Pak Choi using Sargassum stolonifolium biomass: physio-biochemical, anatomical and radionuclide uptake responses","authors":"U. A. Abdullahi,&nbsp;M. M. Khandaker,&nbsp;N. E. M. Shaari,&nbsp;A. Majrashi,&nbsp;S. J. Alsufyani,&nbsp;M. M. Alenazi,&nbsp;N. Osman,&nbsp;K. Mahmud,&nbsp;N. Alias","doi":"10.1007/s13762-026-07394-9","DOIUrl":"10.1007/s13762-026-07394-9","url":null,"abstract":"<div><p>Cadmium (Cd) accumulation in leafy vegetables from contaminated soils impairs growth and poses serious health risks. Thus, minimizing Cd uptake, mobility and improving growth of <i>Brassica chinensis</i> (Pak Choi) is essential for food safety. This study examined the effectiveness of <i>Sargassum stolonifolium</i> biomass (SSB) in reducing Cd toxicity and enhancing the physio-biochemical defense of <i>B. chinensis</i>. Seedlings of <i>B. chinensis</i> were exposed to 50 mg Cd with or without varying levels of SSB and categorized as T0 (control, no Cd), T1 (50 mg kg⁻¹ Cd), T2 (50 mg Cd + 25 g SSB), T3 (50 mg Cd + 50 g SSB), and T4 (50 mg Cd + 100 g SSB). Physiological, biochemical, defense-related parameters, and Cd immobilization were subsequently assessed. Bioactive compounds (total 25) of SSB significantly decreased Cd accumulation in the leaves, stems, and roots of <i>B. chinensis</i>. Compared with T1 plants, T4 treatment significantly enhanced chlorophyll <i>a</i> (3.35-fold), chlorophyll <i>b</i> (4.71-fold), carotenoid content (1.54-fold), and Fv/Fm by 5.43%. T4 treated seedlings also exhibited increased transpiration rate (2.00-fold), stomatal conductance (2.21-fold), internal CO₂ concentration (0.22-fold), and net photosynthetic rate (2.45-fold) whereas SSB subjunction to T4 lowered stress biomarker levels, strengthened plant defense mechanisms, and improved the physicochemical properties of Cd-stressed plants. Significant increases in RWC (51.06%), proline (26.33%), glutathione (96.06%), and amino acids accumulation were observed in T4 treated plants. GC–MS analysis identified enhanced accumulation of 41 volatile metabolites in Cd-exposed <i>B. chinensis</i> seedlings supplemented with SSB. SSB application promoted antioxidant activity, improved stomatal size and density, and reduced the accumulation of Cd and radioactive materials. This study concluded that <i>S. stolonifolium</i> biomass at 100 g kg⁻¹ soil effectively alleviated Cd stress; however, its wider application is limited by species availability and insufficient understanding of its mechanisms of action.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Eco-friendly Mg(OH)2 nanoparticles from Laurus nobilis for dye removal, adsorption kinetics, isotherms and molecular docking analyses","authors":"N. Gavrilof,&nbsp;B. Bulut Kocabaş,&nbsp;A. Attar,&nbsp;E. Aktaş,&nbsp;M. Altikatoglu Yapaoz","doi":"10.1007/s13762-026-07490-w","DOIUrl":"10.1007/s13762-026-07490-w","url":null,"abstract":"<div><p>The increasing discharge of synthetic dyes into aquatic systems poses serious environmental challenges due to their persistence and toxicity. Mg(OH)₂ nanoparticles were synthesized using <i>Laurus nobilis</i> extract as a stabilizing and capping agent. UV–Vis, FTIR, SEM, and XRD characterization confirmed nanoparticle formation, revealing flower-like structures, plant-derived surface functional groups, and a broad diffraction feature at approximately 18–20° (2θ), consistent with the (001) reflection of brucite-type Mg(OH)₂. DLS showed a Z-average hydrodynamic diameter of 178.6 ± 8.7 nm and PDI of 0.25 ± 0.03, while zeta potential was −26.4 ± 2.1 mV. DPPH antioxidant activity was concentration-dependent, reaching 94% inhibition at 40 µg/mL. Antimicrobial assays showed inhibition zones of 18 mm for <i>Escherichia coli</i>, 20.5 mm for <i>Staphylococcus aureus</i>, 24 mm for <i>Aspergillus niger</i>. Maximum dye removal efficiencies were 85.88% (Congo Red), 51.9% (Acid Green 25), 61.13% (Remazol Brilliant Blue R), 24.53% (Procion Yellow H-E3G), 69.73% (Acid Blue 113). Nonlinear Langmuir/Freundlich models were assessed using R², RMSE, SSE, χ², and AIC, while kinetic modeling showed the best fit with pseudo-first-order for Remazol Brilliant Blue R and pseudo-second-order for the other dyes. Linear analysis indicated Langmuir behavior (R² = 0.839–0.999). Binding energies were assessed using the selected protein structures PDB ID: 1D8U, 1GNW, 5KSD, 2OMF, 1QJP, 3EBS. Molecular docking analysis demonstrated measurable dye–protein interactions (− 7.54 to −11.13 kcal/mol), driven by π–π and electrostatic interactions. This work highlights a novel, eco-friendly approach by coupling <i>L. nobilis</i>-mediated Mg(OH)₂ nanoadsorbents with multi-target biological and ecotoxicological evaluation for sustainable wastewater remediation.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transformer-driven spatiotemporal deep learning for environmental wildfire risk assessment: spatiotemporal wildfire risk modeling","authors":"M. K. Saeed,&nbsp;S. A. Ghorashi,&nbsp;M. Alahmadi,&nbsp;F. M. Nafie,&nbsp;A. E. Yahya,&nbsp;E. Muniyandy","doi":"10.1007/s13762-026-07373-0","DOIUrl":"10.1007/s13762-026-07373-0","url":null,"abstract":"<div><p>Wildfire risk has emerged as a critical environmental challenge globally, driven by accelerating climatic variations and human-induced land-use changes. Existing wildfire risk prediction models often fail to capture the complex spatial and temporal interactions governing fire behavior due to limited sensitivity to time-varying environmental indicators. This study introduces FIRERISKNET +  + , a hybrid deep learning framework that integrates Spatiotemporal Convolutional Neural Networks and Transformer-based attention mechanisms for enhanced wildfire risk assessment using multispectral remote sensing data. The model is trained on the FireRisk dataset, which contains five wildfire-risk classes derived from high-resolution National Agriculture Imagery Program imagery. The Spatiotemporal Convolutional Neural Network component captures localized spatial–temporal patterns, while the Transformer component models long-range temporal dependencies and assigns dynamic importance to critical ecological variables such as the Normalized Difference Vegetation Index and land surface temperature. A feature-fusion module combines outputs from both branches to generate the final prediction. FIRERISKNET +  + achieves an average accuracy of 90.12 percent, an F1-score of 0.868, and an Area Under the Receiver Operating Characteristic value of 0.924 using ten-fold cross-validation. Forecasting results demonstrate stable performance at a seven-day prediction horizon, and attention-based interpretability confirms that the model prioritizes ecologically meaningful features. Comparative evaluations show that FIRERISKNET +  + outperforms existing machine learning and deep learning baselines. These findings establish FIRERISKNET +  + as a robust and transparent model suitable for real-time wildfire risk evaluation to support proactive decision-making in environmental monitoring and disaster management.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pollution assessment and human health risk from falling dust in Duhok City, Iraq","authors":"M. Kh. Ibrahim,&nbsp;B. H. Mahdi,&nbsp;D. A. Darwesh,&nbsp;J. M. Rajab,&nbsp;A. M. Al-Salihi,&nbsp;H. S. Lim","doi":"10.1007/s13762-026-07501-w","DOIUrl":"10.1007/s13762-026-07501-w","url":null,"abstract":"<div><p>Falling dust is an important depositional medium for particulate-bound contaminants in semi-arid urban environments. The aim of this study was to assess the concentrations, seasonal and spatial patterns, pollution status, qualitative source-indicative characteristics, and screening-level non-carcinogenic health risk of boron, selenium, barium, silver, iron, molybdenum, and tin in falling dust from Duhok City, Iraq. Twenty samples were collected from five urban sites across four seasons and analyzed after microwave-assisted acid digestion using inductively coupled plasma mass spectrometry. The mean concentrations decreased in the following order: iron (19,831 mg kg⁻¹) &gt; barium (254.8 mg kg⁻¹) &gt; boron (49.81 mg kg⁻¹) &gt; molybdenum (3.19 mg kg⁻¹) &gt; selenium (2.16 mg kg⁻¹) &gt; tin (0.448 mg kg⁻¹) &gt; silver (0.0064 mg kg⁻¹). Selenium showed the clearest seasonal signal and the highest enrichment relative to upper continental crust values, whereas boron and molybdenum showed moderate contamination, and the remaining elements were near background levels. Integrated pollution indices indicated that contamination was mainly controlled by enrichment of a limited number of elements rather than broad multi-element pollution. The overall abundance and enrichment patterns were consistent with both mineral and urban sources of deposited dust reported in the literature, but the relative importance of the various sources of regional dust, soil resuspension, traffic, combustion, and industrial activity could not be resolved with the present data set. Screening-level ingestion-based assessment showed hazard index values below one for both children and adults, indicating low non-carcinogenic risk under the adopted exposure scenario.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of hexavalent chromium adsorption using a novel lignocellulosic biosorbent derived from coyol shell","authors":"C. N. Hernández Martínez,&nbsp;F. A. Aguilar-Aguilar,&nbsp;V. Y. Mena‑Cervantes,&nbsp;J. Quintero,&nbsp;R. Hernández‑Altamirano","doi":"10.1007/s13762-026-07479-5","DOIUrl":"10.1007/s13762-026-07479-5","url":null,"abstract":"<div><p>This study reports, for the first time, the use of Acrocomia aculeata (coyol) shell, a non-commercial lignocellulosic residue, as a renewable and low-cost biosorbent for the removal of hexavalent chromium [Cr(VI)] from water. The shell underwent mild pretreatment with isopropanol-water to improve its surface chemistry and porosity. The adsorption process was optimized using Response Surface Methodology (RSM), considering pH (3–7), contact time (60–480 min), adsorbent dosage (1000–10,000 mg.L⁻¹), and Cr(VI) concentration (10–100 mg.L⁻¹). Optimal conditions (8078 mg.L⁻¹ dosage, pH 4.56, 26.65 mg.L⁻¹ Cr(VI)) resulted in a removal efficiency of approximately 99% and a maximum adsorption capacity of 3.29 mg.g⁻¹. Characterization by SEM, FTIR, and proximate analysis revealed increased roughness, porosity, and exposure of functional groups (–OH, –COO⁻, C=O) responsible for Cr(VI) binding. Regeneration tests with ethanol maintained an efficiency of approximately 82% after two cycles, while the higher heating value increased from 19.47 to 21.35 MJ.kg⁻¹ after adsorption, suggesting the potential for thermal valorization of the spent biosorbent. These results demonstrate that the coyol shell is a functional, efficient, and reusable biosorbent that contributes to sustainable water remediation strategies within a circular economy framework.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Organophosphorus compound removal from agrifood wastewaters with microalgae: a review","authors":"A. Lavrinovičs,&nbsp;T. Juhna","doi":"10.1007/s13762-026-07488-4","DOIUrl":"10.1007/s13762-026-07488-4","url":null,"abstract":"<div><p>The accumulation of organophosphorus compounds in surface waters has risen significantly in recent years, driven by their excessive use in agriculture as peticides, their chemical persistence and the inefficiency of conventional wastewater treatment technologies. Given the detrimental effects of organophosphorus compounds on human health, ecosystem integrity, and societal well-being, there is an urgent need for innovative and effective strategies to limit their entry into surface waters. While advanced treatment methods, such as reverse osmosis, adsorption, and advanced oxidation processes, can achieve high organophosphorus compounds removal efficiencies, they are often complex, costly, and ill-suited for the agrifood and food production sectors, which generate large volumes of wastewater contaminated with organophosphorus compounds. Microalgae-based treatment systems offer a promising alternative, capitalizing on the natural enzymatic pathways of microalgae to degrade organophosphorus compounds. Inducing phosphorus deficiency has been shown to enhance enzymatic activity, thereby promoting more efficient organophosphorus compounds breakdown. This review summarizes the current understanding of microalgal phosphorus uptake, transformation mechanisms, and the biochemical processes underlying enzymatic organophosphorus compounds degradation. Furthermore, it explores strategic approaches for implementing these processes in engineered microalgae-based wastewater treatment systems and identifies key challenges and research gaps that must be addressed to enable full-scale application.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149132096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}