Potential Generation Research Articles

Green energy and rooftop innovation: Unlocking the carbon reduction potential of photovoltaic-green roofs

As urbanization progresses rapidly, cities encounter significant environmental and energy challenges. Photovoltaic-Green Roof (PV-GR) technology offers an innovative strategy with the potential to alleviate urban carbon emissions and resource scarcity issues. However, the carbon reduction potential of PV-GR technology remains unclear. Hence, this study aims to comprehensively assess the carbon reduction potential of PV-GR. This is achieved by integrating Geographic Information Systems (GIS), lifecycle assessment, the Denitrification-Decomposition Model (DNDC), and solar simulation. Using Fuzhou City as a case study, the research indicates: (1) Fuzhou has approximately 72.9 km2 of rooftops suitable for PV-GR development, with an annual biomass production from herbaceous plants estimated at around 2.958 × 107 kg. The annual electricity production under the baseline scenario reaches 9,678 GWh, satisfying about 17 % of Fuzhou’s annual electricity demand. Moreover, in an optimistic scenario, electricity generation rises to 10,176 GWh, and even in a pessimistic scenario, it could achieve 9,471 GWh. (2) In the baseline scenario, Fuzhou’s PV-GR annual carbon reduction is estimated at 6.678 × 106 t CO2, potentially offsetting about 11.14 % of the city’s annual carbon emissions. In an optimistic scenario, this reduction increases to 7.022 × 106 t CO2, and even in a pessimistic scenario, the reduction remains significant at 6.535 × 106 t CO2. (3) Over a 30-year lifecycle, the carbon emissions from PV-GR are projected to total 3.092 × 107 t CO2, accounting for 51.34 % of Fuzhou’s annual emissions. In an ideal baseline scenario, the net carbon reduction over the lifecycle of PV-GR could total 1.703×108 t CO2, effectively offsetting 282.76 % of Fuzhou’s annual carbon emissions. Additionally, scenario simulations suggest that by 2030, potential electricity generation from PV-GR could increase to between 10,463 GWh and 10,901 GWh, due to changes in power structure and urban expansion. Overall, this study demonstrates that PV-GR holds considerable potential for carbon reduction.

Functional and Structural Changes in Diaphragm Neuromuscular Junctions in Early Aging.

Age-related impairment of the diaphragm causes respiratory complications. Neuromuscular junction (NMJ) dysfunction can be one of the triggering events in diaphragm weaknesses in old age. Prominent structural and functional alterations in diaphragm NMJs were described in elderly rodents, but NMJ changes in middle age remain unclear. Here, we compared diaphragm muscles from young adult (3 months) and middle-aged (12 months) BALB/c mice. Microelectrode recordings, immunofluorescent staining, electron microscopy, myography, and whole-body plethysmography were used. We revealed presynaptic (i) and postsynaptic (ii) changes. The former (i) included an increase in both action potential propagation velocity and neurotransmitter release evoked by low-, moderate-, and high-frequency activity but a decrease in immunoexpression of synapsin 1 and synaptic vesicle clustering. The latter (ii) consisted of a decrease in currents via nicotinic acetylcholine receptors and the area of their distribution. These NMJ changes correlated with increased contractile responses to moderate- to high-frequency nerve activation. Additionally, we found alterations in the pattern of respiration (an increase in peak inspiratory flow and a tendency of elevation of the tidal volume), which imply increased diaphragm activity in middle-aged mice. We conclude that enhancement of neuromuscular communication (due to presynaptic mechanism) accompanied by improved contractile responses occurs in the diaphragm in early aging.

Flat-Bottom Elastic Network Model for Generating Improved Plausible Reaction Paths.

Rapid generation of a plausible reaction path connecting a given reactant and product in advance is crucial for the efficient computation of precise reaction paths or transition states. We propose a computationally efficient potential energy based on the molecular structure to generate such paths. This potential energy has a flat bottom consisting of structures without atomic collisions while preserving nonreactive chemical bonds, bond angles, and partial planar structures. By combining this potential energy with the direct MaxFlux method, a recently developed reaction-path/transition-state search method, we can find the shortest plausible path passing within the bottom. Numerical results show that this combination yields lower energy paths compared to the paths obtained by the well-known image-dependent pair potential. We also theoretically investigate the differences between these two potential energies. The proposed potential energy and path generation routine are implemented in our Python version of the direct MaxFlux method, available on GitHub.

Cloning and expression profiling of voltage-gated sodium channel gene (VGSC) from Spodoptera frugiperda

Spodoptera frugiperda is a long-distance migratory pest with strong dispersal ability, fast reproduction speed and destructive feeding, so it is difficult to prevent and control. Pyrethroid insecticides are commonly used in pest insects control, And since the voltage-gated sodium channel (VGSC) serves as a major target of pyrethroids, it is important to study this gene for pest control. VGSC is an integral transmembrane protein consisting of approximately 2,000 amino acid residues found in neurons, myocytes, endocrine cells, and ovarian cells and involved in the initiation and propagation of excitable cellular action potentials. In this study, the cDNA sequence of the VGSC was identified from S. frugiperda by rapid amplification of cDNA ends (RACE) which contained an open reading frame of 6,261 bp encoding a protein of 2,086 amino acids. The molecular weight of this protein was predicted to be 236 kDa, and the theoretical isoelectric point was 5.21. A phylogenetic tree constructed based on lepidopteran insects showed that the VGSC of S. frugiperda was most closely relative to that of Spodoptera litura. VGSC is a highly conserved protein with Ion channel conserved structural domains of transmembrane proteins. qPCR showed that the VGSC gene was highly expressed in the epidermis of 2nd instar larvae, and its expression level was low in other tissues, such as the foregut and Malpighian tubules. In addition, VGSC was also detected in the prepupal stage, then gradually increased in abundance after entering the adult stage, peaked at the adult males on the 4th day of pupal stage, and decreased afterwards. The recombinant plasmid of pSumo-mut-VGSC was constructed and induced to express a His tag fused VGSC protein. Polyclonal antibodies were prepared from purified recombinant VGSC protein. The antibody was ELISA-titered, and the western blotting results showed that it specifically recognized VGSC, whether it was recombinant or endogenous protein. These results have laid the foundation for future studies on the physiological function of this gene in the growth and development of S. frugiperda.

APPLYING BLOOM’S TAXONOMY IN NEUROSCIENCE: A PRACTICAL EXAMPLES

Bloom's Taxonomy serves as a structured framework in neuroscience education, guiding educators in designing, implementing, and assessing learning objectives across various cognitive levels.This abstract explores the practical application of Bloom's Taxonomy in teaching neuroscience concepts, offering insights into effective student engagement.In neuroscience education, Bloom's Taxonomy is invaluable for curriculum development, instructional strategies, and assessment methods. At the foundational "remembering" level, students recall neuroanatomical structures, physiological processes, or terminology. For example, they identify brain regions or recall neurotransmitter functions.Progressing to the "understanding" level, students comprehend neuroscientific principles.This entails explaining action potential propagation or neural pathways in sensory perception. Educators use case studies, discussions, or multimedia for deeper understanding.At the "applying" level, students apply neuroscience knowledge to solve real-world problems. They analyze clinical cases and propose interventions based on neuroanatomy and physiology understanding."Analyzing" prompts critical evaluation of neuroscience theories or research. This involves literature reviews, study critiques, or experiment design.Finally, at the highest level of "creating," students are challenged to synthesize their understanding of neuroscience concepts to generate novel ideas, designs, or solutions. This could entail developing research proposals, designing educational materials, or proposing innovative treatments for neurological disorders.

The Nodes of Ranvier: Mechanisms of Assembly and Maintenance.

Action potential propagation along myelinated axons requires clustered voltage-gated sodium and potassium channels. These channels must be restricted to nodes of Ranvier where the action potential is regenerated. Several mechanisms have evolved to facilitate and ensure the correct assembly and stabilization of these essential axonal domains. This review highlights the current understanding of the axon-intrinsic and glial-extrinsic mechanisms that control the formation and maintenance of the nodes of Ranvier in both the peripheral (PNS) and central (CNS) nervous systems.

You're Getting on My Nerves! A board Game to Teach Action Potential Propagation and Cable Properties.

Electrophysiology is one of the most intimidating topics within the foundational neuroscience curriculum to most undergraduate students. Keeping student attention and engagement during these lectures is equally challenging for educators. Game-based learning is used in many disciplines and levels of education and allows students to apply what they have learned and build community within the classroom. You're Getting on my Nerves was created to help students apply their knowledge of cable properties and practice vocabulary terms with their peers. This board game was originally created using inexpensive products but is also now available for purchase, allowing educators the flexibility to use the game within their budget and available timeframe. Additionally, it can be scaled from introductory to advanced levels and act as a relaxed and entertaining study tool. Students learn what changes in the cell can increase or decrease the action potential's ability to propagate down the axon and begin to describe different cable properties. Each player receives a card to keep track of the amplitude of their action potential. The goal is to move their game piece from the axon hillock to the axon terminal without decaying their action potential to 0. Players draw game cards that instruct them on where to move along the gameboard. The gameboard has color-coded spaces with changes in the axon. Students begin to quickly learn which changes in the cell allow their game piece to propagate forward as they compete with their peers to reach the axon terminal.

Carbon-based nanomaterials: synthesis, types and fuel applications: a mini-review

Abstract Carbon is one of the most abundant minerals in the universe. The world’s energy needs are being unmet due to the exponential rise in population. Since its inception 20 years ago, carbon and its allotropes, including fullerenes, carbon nanotubes, and graphene, have been marketed as potential energy storage and generation materials. By solving important issues like accumulation and inadequate thermodynamic compatibility, carbon fiber, expanded graphite, and carbon nanotubes are promising functional materials that can be used to improve the performance of bipolar plates further. There are several potential uses for carbon-based nanomaterials (CBNMs) in the energy area. This mini-review provides an overview of the synthetic routes employed for producing CBNMs, categorizing them based on their types, elucidating their diverse applications in fuel energy systems, and emphasising the uses of CBNMs in energy. The advantages and disadvantages of several synthetic processes have been examined and compared. The types of CBNMs, like carbon nanotubes, graphene, carbon dots, and fullerenes, are explored in terms of their unique structural properties and fabrication methods. Furthermore, the utilization of CBNMs in fuel energy systems, such as fuel cells, energy storage devices, and catalysis, is comprehensively reviewed.

Abstract We015: Modeling Cardiac Arrhythmogenicity of hiPSC-CMs and Cardiac Fibroblasts Nanopatterned Coculture and Machine Learning

Background: Sudden cardiac death is one of the most threatening heart conditions in the U.S. Most individuals have an underlying structural cardiac disease associated with cardiac fibrosis and ventricular arrhythmia. The relationship between fibrosis and arrhythmias is found to be related to cardiovascular cell couplings, especially cardiomyocytes (CMs) and cardiac fibroblasts (CFs). While animal models have been applied to model cardiac arrhythmias, the disparities between animal models and humans limit the accuracy of pro-arrhythmic predictions. The use of human induced pluripotent stem cells (hiPSCs)-derived CMs has permitted highly modular testing conditions, specifically the ratio of CFs to CMs in an engineered coculture system. Moreover, machine learning (ML) has become an emerging tool in cardiology, such as cardiac toxicity and function evaluation and classification, with its unique advantages of high accuracy and efficiency with less human bias and intuition. Hypothesis: We hypothesize that cardiac fibrosis-associated arrhythmia will be modeled by nanopatterned coculture of hiPSC-CMs and CFs at varied ratios, and the arrhythmic samples will be accurately and efficiently classified by ML algorithms. Approach: The hiPSC-CMs were cocultured and nanopatterned with CFs at ratios of 0 to 30% for 7 days. Upon the electrical pacing at 1Hz, the action potential was recorded by live-cell optical mapping with FluoVolt. The recorded membrane potential and electrical propagation were analyzed by Matlab-based Electomap software. Results: The cocultured hiPSC-CMs and CFs were aligned with aligned sarcomeres and uni-directional contraction ( Fig. 1a ). The cardiac arrhythmia was observed in 15% CFs with spiral wave ( Fig. 1b ) in comparison to the hiPSC-CMs with 0% CF. Beat-to-beat and depolarization durations were found significant with top ranks in Feature Importance to facilitate the distinction between arrhythmic and non-arrhythmic samples by the unsupervised K-means Clustering ( Figs. 1c and d ). Conclusions: We have successfully established a nanopatterned coculturing system of hiPSC-CMs and CFs for modeling cardiac fibrosis-induced arrhythmia, which was further analyzed and classified by ML algorithms. This system reveals great potential for better understanding the relationship between cardiac fibrosis-associated arrhythmia and sudden cardiac death and also drug evaluation for anti-cardiac arrhythmia.

Abstract Mo134: Restoring NaV1.5 Mutant Functionality in Arrhythmia with ManNAc Supplementation

The SCN5A gene encodes the human cardiac sodium channel NaV1.5, essential for cardiac excitability and action potential propagation. Mutations in SCN5A are linked to various cardiac disorders, including Brugada Syndrome (BrS), typically leading to channel loss-of-function. Understanding alterations in NaV1.5 expression and sodium current density is vital for comprehending arrhythmogenesis and formulating therapeutic strategies. Post-translational modifications, especially sialylation, significantly impact channel functionality. We previously demonstrated that BrS patients show decreased protein sialylation, correlating with reduced sodium channel activity. This study aimed to investigate sialic acid's role in regulating NaV1.5 activity, testing if sialylation induction via mannosamine (ManNAc) supplementation could restore channel activity in-vitro. Preliminary tests with exogenous sialidases and ManNAc supplementation affirmed our hypothesis. We examined ManNAc's effect on NaV1.5 mutants common in BrS, which typically exhibit partial functional loss. We overexpressed mutations p.A344S, p.K1479A, and p.G1406R in HEK293A cells and measured sodium currents before and after ManNAc supplementation to stimulate sialic acid synthesis. ManNAc effectively restored sodium currents in mutants with intracellular and extracellular loop mutations. However, the p.1406G>A mutant, affecting the pore structure, showed no improvement, suggesting that sialic acid mainly influences channel membrane trafficking rather than direct glycosylation. This underscores the complexity of sialic acid's role and points to trafficking pathways as potential therapeutic targets. Notably, the treatment neither increased nor decreased sodium currents in wild-type NaV1.5 channels or in the CaV3.2 calcium channel, underscoring its specificity. In summary, our findings demonstrate that ManNAc supplementation can selectively restore the function of certain NaV1.5 mutants without affecting wild-type channels, highlighting the potential of targeting sialylation pathways for SCN5A-related arrhythmia treatments. Future research should aim to unravel these mechanisms further, providing insights into novel treatments for SCN5A-related arrhythmias.

Neural ensembles: role of intrinsic excitability and its plasticity.

Synaptic connectivity defines groups of neurons that engage in correlated activity during specific functional tasks. These co-active groups of neurons form ensembles, the operational units involved in, for example, sensory perception, motor coordination and memory (then called an engram). Traditionally, ensemble formation has been thought to occur via strengthening of synaptic connections via long-term potentiation (LTP) as a plasticity mechanism. This synaptic theory of memory arises from the learning rules formulated by Hebb and is consistent with many experimental observations. Here, we propose, as an alternative, that the intrinsic excitability of neurons and its plasticity constitute a second, non-synaptic mechanism that could be important for the initial formation of ensembles. Indeed, enhanced neural excitability is widely observed in multiple brain areas subsequent to behavioral learning. In cortical structures and the amygdala, excitability changes are often reported as transient, even though they can last tens of minutes to a few days. Perhaps it is for this reason that they have been traditionally considered as modulatory, merely supporting ensemble formation by facilitating LTP induction, without further involvement in memory function (memory allocation hypothesis). We here suggest-based on two lines of evidence-that beyond modulating LTP allocation, enhanced excitability plays a more fundamental role in learning. First, enhanced excitability constitutes a signature of active ensembles and, due to it, subthreshold synaptic connections become suprathreshold in the absence of synaptic plasticity (iceberg model). Second, enhanced excitability promotes the propagation of dendritic potentials toward the soma and allows for enhanced coupling of EPSP amplitude (LTP) to the spike output (and thus ensemble participation). This permissive gate model describes a need for permanently increased excitability, which seems at odds with its traditional consideration as a short-lived mechanism. We propose that longer modifications in excitability are made possible by a low threshold for intrinsic plasticity induction, suggesting that excitability might be on/off-modulated at short intervals. Consistent with this, in cerebellar Purkinje cells, excitability lasts days to weeks, which shows that in some circuits the duration of the phenomenon is not a limiting factor in the first place. In our model, synaptic plasticity defines the information content received by neurons through the connectivity network that they are embedded in. However, the plasticity of cell-autonomous excitability could dynamically regulate the ensemble participation of individual neurons as well as the overall activity state of an ensemble.

Specific and Plastic: Chandelier Cell-to-Axon Initial Segment Connections in Shaping Functional Cortical Network.

Axon initial segment (AIS) is the most excitable subcellular domain of a neuron for action potential initiation. AISs of cortical projection neurons (PNs) receive GABAergic synaptic inputs primarily from chandelier cells (ChCs), which are believed to regulate action potential generation and modulate neuronal excitability. As individual ChCs often innervate hundreds of PNs, they may alter the activity of PN ensembles and even impact the entire neural network. During postnatal development or in response to changes in network activity, the AISs and axo-axonic synapses undergo dynamic structural and functional changes that underlie the wiring, refinement, and adaptation of cortical microcircuits. Here we briefly introduce the history of ChCs and review recent research advances employing modern genetic and molecular tools. Special attention will be attributed to the plasticity of the AIS and the ChC-PN connections, which play a pivotal role in shaping the dynamic network under both physiological and pathological conditions.

Numerical study on efficiency and robustness of wave energy converter-power take-off system for compressed air energy storage

The unpredictable fluctuations of wave lead to an imbalance between energy supply and demand. This article proposes a wave-driven compressed air energy storage system, which uses wave mechanical energy instead of electrical energy as the direct driving force for the compressors. Compressed air energy storage solves the problem of stability of wave energy output by accumulating and storing wave energy and then releasing it in a centralized manner. Due to the significant change in load damping compared to the generator, the damping force of the power take-off with compressed air energy storage load is analyzed. And a robust strategy with adjustable buoy draft and load compressor number is proposed, and the highest capture width ratio of 26.71 % and wave energy to compressed air energy conversion efficiency of 13.00 % are achieved under regular wave conditions. Surface seawater is used for heat supplementation in the expansion phase, and a closed-loop system is designed to avoid the damage of low-temperature condensation, the round-trip efficiency of the system is 11.26 %. This research provides a potential power generation path for wave energy and surface seawater heat. And it may beneficial to provide stable and relatively cheap power supply for coastal and offshore users.

Secretome analysis of oligodendrocytes and precursors reveals their roles as contributors to the extracellular matrix and potential regulators of inflammation.

Oligodendrocytes form myelin that ensheaths axons and accelerates the speed of action potential propagation. Oligodendrocyte progenitor cells (OPCs) proliferate and replenish oligodendrocytes. While the myelin-forming role of oligodendrocytes and OPCs is well-established, potential additional roles of these cells are yet to be fully explored. Here, we analyzed the secreted proteome of oligodendrocytes and OPCs in vitro to determine whether these cell types are major sources of secreted proteins in the central nervous system (CNS). Interestingly, we found that both oligodendrocytes and OPCs secret various extracellular matrix proteins. Considering the critical role of neuroinflammation in neurological disorders, we evaluated the responses and potential contributions of oligodendrocytes and OPCs to this process. By characterizing the secreted proteomes of these cells after pro-inflammatory cytokine treatment, we discovered the secretion of immunoregulators such as C2 and B2m. This finding sheds new light on the hitherto underappreciated role of oligodendrocytes and OPCs in actively modulating neuroinflammation. Our study provides a comprehensive and unbiased proteomic dataset of proteins secreted by oligodendrocyte and OPC under both physiological and inflammatory conditions. It revealed the potential of these cells to secrete matrix and signaling molecules, highlighting their multifaceted function beyond their conventional myelin-forming roles.

Permeability Evolution of Shale during High-Ionic-Strength Water Sequential Imbibition

It is widely accepted in the oil and gas industry that high-ionic-strength water (HISW) can improve oil and gas recovery in unconventional shale reservoirs by limiting shale hydration. Despite numerous supporting studies, there is a lack of a systematic analysis exploring the effect of HISW on shale permeability evolution, particularly considering varying chemical compositions. In this work, we investigated the impact of different concentrations of NaCl and CaCl2 on shale permeability through sequential HISW imbibition experiments, beginning with the highest NaCl and lowest CaCl2 concentrations. After maintaining the highest effective stress for an extended period, significant permeability reduction and potential fracture generation were observed, as indicated by periodic fluctuations in differential pressure. These effects were further intensified by displacements with HISW solutions. Advanced post-experimental analyses using micro-CT scans and SEM-EDS analysis revealed microstructural changes within the sample. Our findings offer initial insight into how HISW-shale interactions influence shale permeability, using innovative approaches to simulate reservoir conditions. The findings indicate that discrepancies in the chemical composition between injected solutions and shale may lead to shale disintegration during hydraulic fracturing processes.

Potential energy generation of sludge from a thermomechanical pulp (TMP) mill

Potential energy generation of sludge from a thermomechanical pulp (TMP) mill

Voltage-Gated Ion Channels: Structure, Pharmacology and Photopharmacology.

Voltage-gated ion channels are transmembrane proteins responsible for the generation and propagation of action potentials in excitable cells. Over the last decade, advancements have enabled the elucidation of crystal structures of ion channels. This progress in structural understanding, particularly in identifying the binding sites of local anesthetics, opens avenues for the design of novel compounds capable of modulating ion conduction. However, many traditional drugs lack selectivity and come with adverse side effects. The emergence of photopharmacology has provided an orthogonal way of controlling the activity of compounds, enabling the regulation of ion conduction with light. In this review, we explore the central pore region of voltage-gated sodium and potassium channels, providing insights from both structural and pharmacological perspectives. We discuss the different binding modes of synthetic compounds that can physically occlude the pore and, therefore, block ion conduction. Moreover, we examine recent advances in the photopharmacology of voltage-gated ion channels, introducing molecular approaches aimed at controlling their activity by using photosensitive drugs.

Design optimization of two-blade Savonius wind turbines for hydrogen generation

This paper presents a Taguchi optimization study aimed at enhancing the efficiency of a two bladed Savonius wind turbine by optimizing inner blade parameters. An L9 orthogonal design was created, and one-way analysis of variance (ANOVA) was conducted to assess the impact of each parameter on wind turbine performance. Optimal blades configuration was determined using the Taguchi method and power curve of the wind generator was created. Furthermore, a MATLAB – Simulink model was developed to simulate a hydrogen production system based on an alkaline electrolyser fuelled with the electrical energy produced by the optimized wind turbine. Wind speeds data of Vieste, a small town located in the Gargano promontory of Puglia region, South of Italy, were chosen for yearly based simulations. The ANOVA analysis shows that the most effective parameter on the performance of the optimized turbine was determined as the inner blade angle by 91.85 % and the least important parameter was calculated as the number of inner blades, by 0.98 %. Furthermore, the potential annual hydrogen generation for different numbers of wind turbines was calculated through the MATLAB – Simulink model: 2.423 kg for a single turbine, 25.93 kg for five turbines, and 57.58 kg for ten turbines.

Differentiation, Metabolism, and Cardioprotective Secretory Functions of Human Cardiac Stromal Cells from Ischemic and Endocarditis Patients.

This study investigates the characteristics of cardiac mesenchymal stem cell-like cells (CMSCLCs) isolated from the right atrial appendage of human donors with ischemia and a young patient with endocarditis (NE-CMSCLCs). Typical CMSCLCs from ischemic heart patients were derived from coronary artery bypass grafting procedures and compared against bone marrow mesenchymal stromal cells (BM-MSCs). NE-CMSCLCs had a normal immunophenotype, but exhibited enhanced osteogenic differentiation potential, rapid proliferation, reduced senescence, reduced glycolysis, and lower reactive oxygen species generation after oxidative stress compared with typical ischemic CMSCLCs. These differences suggest a unique functional status of NE-CMSCLCs, influenced by the donor health condition. Despite large variances in their paracrine secretome, NE-CMSCLCs retained therapeutic potential, as indicated by their ability to protect hypoxia/reoxygenation-injured human cardiomyocytes, albeit less effectively than typical CMSCLCs. This research describes a unique cell phenotype and underscores the importance of donor health status in the therapeutic efficacy of autologous cardiac cell therapy.

Integrating in-situ data and spatial decision support systems (SDSS) to identify groundwater potential sites in the Esan plateau, Nigeria

Establishing suitable groundwater resource areas is a challenging endeavour across the globe. However, novel spatial technologies have emerged as valuable tools for the effective strategy, management, and assessment of groundwater resources, especially in data-scarce emerging economies. The current study used spatial decision support systems (SDSS) for evaluating and defining groundwater potential sites (GPSs) in Nigeria's Edo central region to promote sustainable governance of groundwater. By merging multiple groundwater contributing theme layers, a leading-edge information-based multiparametric analytical hierarchy process (AHP) was applied to define the groundwater prospective areas. By systematically assigning weights to every subject-specific layer and feature, the subject matter layers of geology, geomorphology, drainage density, slope, soil properties, landuse/landcover, rainfall distribution, hydraulic conductivity, transmissivity, curvature, proximity to surface water bodies, and elevation were generated and used for groundwater potential map generation. Each thematic layer's weights were allocated and adjusted depending on their qualities and relevance to groundwater recharge. The multicollinearity (MC) analysis was used to evaluate the model's predictive capacity. Finally, groundwater potential sites were created by integrating the theme-specific maps with the weighted total overlay computation tool. The study area contained three separate groundwater potential sites: low, moderate, and high. According to the regional geographic distribution, the largest portion of the area (65%) fell within the moderately significant groundwater potential geographical area. The high and low GPSs, which both have a low curvature and a valley plain characteristic, account for 25% and 10%, respectively, of the entire area. The outcomes were contrasted with the yield of groundwater from boreholes gathered in the study region. The validation analysis found an acceptable 88.89% similarity. This highlights the potential for the groundwater map's significant prediction. Therefore, the applied approach is a viable choice for the advancement of groundwater in the central Edo region and with comparable geology all over the globe.