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Design and investigation of a plasmonic metamaterial terahertz sensor for refractive index sensing

Research Abstract

Significant research interest has been directed toward terahertz (THz) metamaterials, motivated by their prospective applications in the domains of biosensing and environmental detection. Among their most beneficial properties are the capabilities for speedy and non-destructive analysis. This study demonstrates a terahertz plasmonic sensor for monitoring environmental refractive index. The structure is designed with three key layers: a top gold film etched with two elliptical cross-shaped resonators, a middle silica insulator, and a continuous gold base layer. The novelty of this architecture lies in the specific symmetry of the crossed elliptical resonators, which suppresses radiative losses to achieve an exceptionally high-Q resonance—approximately eight times superior to traditional THz metamaterial sensors. We employed a 3D finite element model in COMSOL Multiphysics® to simulate the absorption spectra and analyze the field distribution. Notably, the model demonstrates high-performance resonance, with a peak absorption of 88\% occurring at 3.684 THz. The resonance condition, which is critical for sensing, is facilitated by the coexistence of electric and magnetic dipole responses, and the performance is subsequently determined by the associated localized field distribution. To verify the underlying physical mechanism, the geometrical parameters of the sensor were systematically varied, and the corresponding absorption performance was analyzed. The design also achieves high-performance refractive index sensing with a sensitivity of 2.02\text{T}\text{H}\text{z}/\text{R}\text{I}\text{U}, a \text{Q}-\text{f}\text{a}\text{c}\text{t}\text{o}\text{r} of 584.01, and a \text{F}\text{O}\text{M} of 321.14. These findings indicate that the presented sensor holds considerable promise for future deployment in biomedical detection and the monitoring of essential metrics within environmental applications.


 

Research Authors
Zeinelabedin A. Mohamed
Research Date
Research Department
Research Journal
Optical and Quantum Electronics
Research Member
Research Year
2026

High performance terahertz sensor structure based on coupled mim waveguide–disk resonator structure

Research Abstract

Hybrid plasmonic configurations provide an efficient and straightforward framework for achieving high-sensitivity and miniaturized optical sensing. Electromagnetic fields at terahertz frequencies open the window to multiple optical applications such as optical sensing, wireless communication, and medical imaging. The present research explores the performance of a terahertz refractive index (RI) sensor employing the finite element method (FEM) for numerical analysis. The proposed sensor is investigated based on coupling mechanism between a metal–insulator–metal (MIM) waveguide and a porous silicon (pSi) disk resonator. The coupling mechanism induces a sharp and asymmetric Fano resonance profile with significant enhancement in transmission value. The maximum sensing performance can be achieved by manipulating structure parameters and disk porosity. Simulation results reveal that the resulting Fano resonance exhibits an approximately linear dependence on the index of the surrounding index environment. Through optimization, the design exhibited outstanding sensing capabilities, with sensitivity reaching 1433 nm/RIU, a figure of merit of 392.06 RIU⁻¹, and quality factor of 5706.35. The study demonstrates that this design approach can effectively generate compact sensor architectures with high performance for microscale RI detection.


 

Research Authors
Zeinelabedin A. Mohamed
Research Date
Research Department
Research Journal
Sensing and Imaging
Research Member
Research Year
2026

Sensory systems underlying sociality in the naked mole-rat

Research Abstract

Social interactions rely on the integration of information across multiple sensory modalities. In many species, individuals recognize conspecifics through combinations of auditory, olfactory, tactile, and visual cues, reflecting the capacity of neural systems to integrate diverse streams of sensory input. The naked mole-rat (Heterocephalus glaber) provides a powerful model system for understanding how social living shapes the evolution of such communication systems, particularly under conditions where visual information is largely absent. Naked mole-rats represent a rare example of mammalian eusociality, living in large multigenerational colonies organized around a strict reproductive hierarchy and cooperative care of offspring [1]. Here, we review evidence that naked mole-rats integrate multiple sensory modalities, focusing on audition, olfaction, and somatosensation to encode social identity.

Research Authors
Mohammed A. Khallaf, Wenhan Luo, Firdevs Murad, Gary R. Lewin, Alison J. Barker
Research Department
Research File
Research Journal
Current Opinion in Neurobiology
Research Member
Research Publisher
Current Opinion in Neurobiology
Research Year
2026

Advancing sustainable groundwater mapping and management in arid quaternary aquifers using machine learning and geospatial analytics integrating remote sensing and field hydrogeological data

Research Abstract

Groundwater (GW) represents a critical resource for sustaining agriculture and rural communities across the arid regions of many developing countries. This study assesses three predictive approaches boosted classification tree (BCT), the bivariate frequency ratio (FR), and a hybrid BCT–FR ensemble for mapping Potential Zones (GWPZ) in arid environments. The modelling framework integrates satellite-derived variables with pumping-test measurements (specific capacity (SPC) and transmissivity (T)) and incorporates topographic, geological, hydrogeological, and anthropogenic factors using an inventory of forty-two wells divided into calibration (70%) and validation (30%) datasets across the West El-Minia region of Upper Egypt. Change-detection analysis over the study period (2000–2025) indicated a substantial increase in agricultural activity, with cultivated lands expanding by more than 560 km². This expansion was accompanied by an observed level decline of approximately five meters over the same period, based on field measurements from 42 wells and calculated using observed water table differences. Based on SPC predictions, the BCT and hybrid FR–BCT models achieved relatively high area under the curve (AUC) values. For transmissivity, the corresponding accuracy values were 83.38% for BCT and 92.58% for FR–BCT. Model outputs were assessing their reliability by comparing the GW potential map generated with available borehole information and daily GWproductivity data from the aquifer system. The study area was classified into four GW potential categories: very high (8%), high (26%), moderate (54%), and low (12%), with the northeastern sector exhibiting the highest recharge and storage potential. Overall, the applied machine-learning techniques demonstrated good performance for GW potential assessment in data-limited environments. The results provide important guidance for GW resource management by identifying zones with substantial recharge and development potential.

Research Date
Research Department
Research Journal
Environmental Earth Sciences
Research Pages
346
Research Publisher
Springer Berlin Heidelberg
Research Vol
85
Research Website
https://link.springer.com/article/10.1007/s12665-026-13021-0
Research Year
2026

Integrated flood and multi-hazard susceptibility mapping in Egypt’s Red Sea Mountains using AHP–machine learning, environmental sensitivity indices, and scenario-based restoration frameworks

Research Abstract

Flash floods represent one of the most destructive hazards in arid and semi-arid regions, causing severe damage to infrastructure, livelihoods, and ecosystems. Their assessment is often constrained by limited historical flood records and rapidly changing land-use dynamics. This study develops an integrated and explainable framework for flash flood susceptibility mapping (FSM) in Egypt’s Red Sea Mountains, a coastal zone undergoing rapid urban and tourism expansion. Multi-temporal Sentinel-1 Synthetic Aperture Radar (SAR) data were processed in Google Earth Engine using Otsu thresholding to generate dynamic flood inventories. These inventories were combined with eleven hydro-topographic and geological predictors within a Multi-Criteria Decision Analysis (MCDA) framework using the Analytic Hierarchy Process (AHP), and further enhanced by three machine learning (ML) classifiers: Random Forest (RF), Extreme Gradient Boosting (XGB), and Gradient Boosting Machine (GBM). Model evaluation demonstrated strong predictive skill, with the hybrid AHP–RF model achieving the highest accuracy (AUC = 0.95; overall accuracy = 95%). Shapley Additive exPlanations (SHAP) quantified predictor importance, confirming elevation, runoff volume, and drainage density as dominant drivers of flood susceptibility. Beyond single-hazard mapping, the study introduced an Environmental Sensitivity and Desertification Index (ESDI) and integrated it with FSM to produce a multi-hazard susceptibility map, revealing compound high-risk zones in coastal sabkhas and intensively cultivated floodplains. Scenario-based analyses under RCP 4.5/8.5 and SSP pathways projected significant expansion of high-risk zones under intensified climate forcing and unsustainable socio-economic trajectories. By aligning scenario outputs with the Food and Agriculture Organization) FAO (Standards of Practice to Guide Ecosystem Restoration (2025), the study bridges scientific diagnostics with actionable resilience planning. The integrated framework demonstrates that coupling AHP with ML not only improves predictive accuracy but also enhances interpretability and policy relevance. The outcomes provide critical evidence for disaster risk reduction, land-use management, and ecosystem restoration, offering a transferable model for climate-resilient hazard management in arid coastal environments across Africa and beyond.

 


 

Research Date
Research Department
Research Journal
Frontiers in Environmental Science
Research Pages
1845446
Research Publisher
Frontiers Media SA
Research Vol
14
Research Website
https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2026.1845446/full#cite
Research Year
2026

Impacts of Urban Encroachment and Agricultural Activities on Groundwater Quality and Health: Insights from Middle Egypt

Research Abstract

Groundwater is an essential resource in arid and semi-arid areas such as Upper Egypt, especially where surface water is limited or difficult to obtain. This study explores the hydrogeochemical properties, pollution levels, and related health risks of groundwater in the northern region of Assiut Governorate, Egypt. A total of thirty groundwater samples were systematically collected and analyzed through geochemical modeling, the Nemerow Pollution Index (NPI), and health risk assessment models. The findings showed that the groundwater samples had a pH ranging from slightly acidic to neutral, which aids the dissolution of carbonate minerals and increases the mobility of trace metals. Most of the water samples were categorized as hard to very hard, exhibiting high concentrations of calcium and magnesium in comparison to sodium and potassium. Bicarbonate levels were higher than those of chloride and sulfate, further supporting the notion that carbonate dissolution is the primary geochemical process, followed by ion exchange and evaporite dissolution. Four principal hydrochemical facies were identified—Ca-Mg-HCO₃, Ca-Mg-Cl, Na-HCO₃, and Na-Cl—reflecting diverse sources and interactions within the aquifer system. Human activities, including industrial and agricultural runoff, have significantly raised the levels of cadmium (Cd) and lead (Pb), with 67% of the samples classed as severely polluted according to NPI standards. Health risk analyses indicated that Cd and Pb present significant non-carcinogenic and carcinogenic threats, particularly to infants and children, whose exposure levels surpassed US EPA guidelines. Furthermore, land use/land cover (LULC) assessments using Sentinel-2 imagery from 2000 to 2024 revealed considerable urban expansion over productive agricultural land, coupled with groundwater over-extraction and deteriorating water quality. The combination of hydrochemical analysis, multivariate statistics, remote sensing, and GIS emphasizes the urgent need for groundwater protection, pollution reduction, and regulation of land use to ensure public health and the sustainability of water resources in Upper Egypt. The quality of groundwater is at risk due to swift urban growth and the expansion of agriculture. The main geochemical process observed in groundwater samples is the dissolution of carbonates. Most groundwater samples contain cadmium and lead levels that surpass the limits set by the WHO. 67% of the water samples indicate significant contamination according to Nemerow’s Pollution Index. The study area presents the greatest health risks from cadmium and lead for infants and children. The diagrams created by Piper and Gibbs illustrate the prevailing geochemical processes. From 2000 to 2024, changes in land use indicate urban expansion over productive floodplain soils. Sustainable groundwater and land use planning is supported by remote sensing and GIS. Most water samples continue to be appropriate for irrigation, even in the presence of salinity risks. Proper measures are essential to guarantee that groundwater is safe for human consumption.

Research Authors
Ahmed A. Asmoay, Eltaher M. Shams, R. Sawires
Research Date
Research Department
Research Journal
Chemistry Africa
Research Member
Research Pages
259
Research Publisher
Apringer
Research Rank
Q3
Research Vol
9
Research Website
https://doi.org/10.1007/s42250-026-01761-2
Research Year
2026

Morphodynamic analysis of longitudinal dunes and geomorphological risk assessment for development planning in the southeastern Qattara Depression using geospatial techniques

Research Abstract

The southeastern Qattara Depression is a geomorphologically active region of Egypt’s Western Desert, where longitudinal dune fields intersect major development corridors, including the New Delta Project and petroleum concessions. This study presents the first integrated multi-temporal assessment of longitudinal dune morphodynamics over 35 years (1990–2025) using satellite imagery, digital elevation data, geological maps, and climatic records. Fifty-two dunes were analyzed using morphometric and kinematic indicators. Simple dunes dominate (78.85%), while complex forms account for 21.15%. Dune volumes range from 6.42 × 106 to 4.98 × 109 m3. Strong correlations between dune dimensions and volume (r = 0.73–0.89), indicate that lateral accretion as the primary growth mechanism. Dune activity has accelerated through increasing lateral migration, longitudinal growth, and vertical accretion driven by high-energy winds and prolonged drought. An Analytic Hierarchy Process (AHP) framework integrated the Sand Mobility Index, Normalized Difference Sand Index, and Normalized Difference Vegetation Index to assess geomorphological hazard and land-use vulnerability. The resulting dune hazard, vulnerability, and sand-drift risk maps spatially classify risk. ROC–AUC validation showed excellent predictive performance (AUC ≈ 0.93). High and very high hazard zones cover 22.96% of the study area, revealing substantial threats to ongoing development.

Research Authors
Eltaher M. Shams , Sahar N.E. Tawfik , Mohamed R. Abdelzaher and Rashad Sawires
Research Department
Research Journal
Geomatics, Natural Hazards and Risk
Research Member
Research Pages
2717927
Research Publisher
Taylor & Francis
Research Rank
Q1
Research Vol
17
Research Website
https://doi.org/10.1080/19475705.2026.2717927
Research Year
2026

Ecotoxicological Impacts of Perfluorooctane Sulfonate on the Freshwater Snail Lanistes carinatus: Oxidative Stress, Neurotoxicity, and Histopathological Alterations

Research Authors
Mohamed Hamed, Mohammed Abdel-Wahab, Rashad EM Said, Alaa El-Din H Sayed
Research Date
Research Department
Research Journal
International Journal of Molecular Sciences
Research Member
Research Year
2025

Efficacy of three edible coatings on postharvest quality, and microbiology of manfalouty pomegranate arils

Research Abstract

Despite the numerous benefits of Punica granatum L., ready-to-eat pomegranate aril consumption remains limited due to rapid physiological deterioration
and microbiological spoilage during storage. This study evaluated the efficacy of natural edible coatings, Hibiscus extracts (3% and 6%), licorice root extracts
(3% and 6%), and gelatin solutions (5% and 10%) in preserving the postharvest quality of Manfalouty pomegranate (Punica granatum L.) arils harvested from
El Badary, Assiut Governorate, Egypt, during the 2024 and 2025 seasons. Physical quality attributes (weight loss, total soluble solids [TSS%], titratable acidity
[TA%], vitamin C, and anthocyanins) were assessed at 0, 7, 14, and 21 d. Microbiological analysis quantified bacterial and fungal counts (CFU/g) on nutrient
agar and Czapek's dextrose agar. Sensory properties (color, odor, taste, and texture) were rated on a 10-point hedonic scale by a 10-member panel. Results
demonstrated that higher concentrations of Hibiscus and licorice extracts significantly reduced weight loss, microbial loads, and sensory deterioration while
enhancing TSS, TA, vitamin C, and anthocyanin levels compared to controls, extending shelf life effectively. After 21 d of cold storage, Hibiscus 6% minimized
weight loss (2.93%–2.96%) vs control (3.89%–3.84%), TSS% (16.17%–16.23%) vs control (15.0%–14.9%), TA% (1.21%–1.16%) vs control (0.91%–1.07%),
vitamin C (22.87–23.53 mg/100 mL) vs control (19.92–20.53 mg/100 mL), and anthocyanins (53.30–53.46 mg/100 g FW) vs control (49.07–49.8 mg/100 g FW)
in the 2024 and 2025 seasons, respectively. Microbial counts were lowest with 6% Hibiscus extract (bacteria: 12–16 CFU/g; fungi: 5–5.67 CFU/g at 21 d vs
control 136–142.67 and 27–28.3 CFU/g) in the 2024 and 2025 seasons, respectively. The 6% Hibiscus extract limited the fungal species number from seven
species to Aspergillus niger and Penicillium expansum. Moreover, the control and gelatin showed the highest deterioration. These coatings, especially
Hibiscus, effectively extend shelf life by reducing physiological and microbial losses, supporting sustainable preservation.

Research Authors
Ahmed H.A. Mansour1, Gihan M. Ali1 and Ghada Abd-Elmonsef Mahmoud
Research Date
Research Journal
Circular Agricultural Systems
Research Member
Research Pages
e018
Research Rank
International
Research Vol
6
Research Year
2026

Green Fabrication of Aspergillus terreus–Silver Oxide Bio-Nanocomposite for Sustainable Wastewater Treatments: Synthesis, Optimization, Toxicity Assessment, and Application

Research Abstract

The discharge of azo-dye-containing wastewater from textile and related industries rep-
resents a major environmental challenge because of the persistence, toxicity, and poor
bio-degradability of synthetic dyes. Congo red dye (CR), one of the most widely used
azo dyes, poses serious ecological and public health risks when released into aquatic
ecosystems. Although numerous biological adsorbents have been investigated for dye re-
moval, the development of sustainable fungal-based nanocomposites with high adsorption
efficiency, optimized operational conditions, and verified environmental safety remains
limited. Therefore, the present work describes the development and evaluation of a novel
Aspergillus terreus–silver oxide nanoparticle (Ag2O NPs) myco-nanocomposite as a promis-
ing eco-friendly biosorbent for CR dye removal from aqueous solutions and real wastew-
ater. Aspergillus terreus (GenBank accession PX920301) isolated from dye-contaminated
wastewater, the adsorption efficiencies of dried mycelia, and the myco-nanocomposite
were compared. Myco-nanocomposite was characterized using ultraviolet visible spec-
troscopic analysis (UV/Vis), Fourier transform infrared spectroscopy (FTIR), and X-ray
diffraction (XRD). A. terreus–Ag2O NPs myco-nanocomposite exhibited the highest ad-
sorption efficiency 92.73%, adsorption capacity (qe) 118.7 mg/g and lowest CR dye residual
by 3.81 mg/L, while A. terreus non-autoclaved dried mycelia recorded 78.28% CR removal,
adsorption capacity (qe) 100.2 mg/g and CR dye residual by 11.39 mg/L. Adsorption
parameters were optimized using a four-factor Box–Behnken experimental design, produc-
ing a highly significant quadratic model (R2 = 0.986). The highest optimized conditions
were obtained at run 17 in which 100 mg L−1 CR dye, pH 8, 0.05 g adsorbent dosage, and
48 h contact time, with removal efficiency of 96.88%, followed by run 14 using 50 mg L−1
CR dye, pH 6, 0.05 g adsorbent dosage, and 48 h contact time, with removal efficiency of
95.79%. Phytotoxicity and microbial toxicity assays demonstrated that the treated wastew-
ater was environmentally safer than untreated CR dye, exhibiting no inhibitory effects
on representative bacteria, yeast, and filamentous fungi while improving wheat seedling
growth. Furthermore, application of the myco-nanocomposite to real industrial wastewater
achieved 94.92% decolorization. This study provides a sustainable myco-nanocomposite of
A. terreus–Ag2O NPs which represents a promising green technology for the remediation of
dye-contaminated industrial effluents and supports the development of environmentally sus-
tainable wastewater management strategies and applicability of reusing treated wastewater.

Research Authors
Ghada Abd-Elmonsef Mahmoud * , Ahmed Y. Abdel-Mallek and Rania Mahmoud Fouad
Research Date
Research Journal
Sustainability
Research Pages
7817
Research Publisher
@ MPDI
Research Rank
International Q1
Research Vol
18
Research Year
2026
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