Sustainable Future Research Articles

Internet of Things-Driven Precision in Fish Farming: A Deep Dive into Automated Temperature, Oxygen, and pH Regulation

The research introduces a revolutionary Internet of Things (IoT)-based system for fish farming, designed to significantly enhance efficiency and cost-effectiveness. By integrating the NodeMcu12E ESP8266 microcontroller, this system automates the management of critical water quality parameters such as pH, temperature, and oxygen levels, essential for fostering optimal fish growth conditions and minimizing mortality rates. The core of this innovation lies in its intelligent monitoring and control mechanism, which not only supports accelerated fish development but also ensures the robustness of the farming process through automated adjustments whenever the monitored parameters deviate from desired thresholds. This smart fish farming solution features an Arduino IoT cloud-based framework, offering a user-friendly web interface that enables fish farmers to remotely monitor and manage their operations from any global location. This aspect of the system emphasizes the importance of efficient information management and the transformation of sensor data into actionable insights, thereby reducing the need for constant human oversight and significantly increasing operational reliability. The autonomous functionality of the system is a key highlight, designed to persist in adjusting the environmental conditions within the fish farm until the optimal parameters are restored. This capability greatly diminishes the risks associated with manual monitoring and adjustments, allowing even those with limited expertise in aquaculture to achieve high levels of production efficiency and sustainability. By leveraging data-driven technologies and IoT innovations, this study not only addresses the immediate needs of the fish farming industry but also contributes to solving the broader global challenge of protein production. It presents a scalable and accessible approach to modern aquaculture, empowering stakeholders to maximize output and minimize risks associated with fish farming, thereby paving the way for a more sustainable and efficient future in the global food supply.

Cleaning Up Metal Contamination after Decades of Energy Production and Manufacturing: Reviewing the Value in Use of Biochars for a Sustainable Future

The lasting impact of ancestral energy production operations and global manufacturing has not only generated substantial CO2 emissions, but it has also led to the release of metal-based pollutants into Earth’s water bodies. As we continue to engineer, mine (coal and metals), and now bore into geothermal wells/fracking sites for alternative energy sources, we continue to contaminate drinking water supplies with heavy metals through infiltration and diffusion, limiting progress towards achieving Sustainable Development Goals 3 (Sustainable Development Goal 3: Good health and well-being), 6 (Sustainable Development Goal 6: Clean water and sanitation), 14 (Sustainable Development Goal 14: Life below water), and 15 (Sustainable Development Goal 15: Life on land). This review shows how the research community has designed and developed mesoporous biochars with customizable pore systems, as well as functionalized biochars, to extract various heavy metals from water sources. This article investigates how biochar materials (non-activated, activated, functionalized, or hybrid structures) can be adapted to suit their purpose, highlighting their recyclability/regeneration and performance when remediating metal-based pollution in place of conventional activated carbons. By utilizing the wider circular economy, “waste-derived” carbonaceous materials will play a pivotal role in water purification for both the developed/developing world, where mining and heavy manufacturing generate the most substantial contribution to water pollution. This review encompasses a wide range of global activities that generate increased heavy metal contamination to water supplies, as well as elucidates emerging technologies that can augment environmental remediation activities, improving the quality of life and standard of living for all.

Responsible Consumption: Developing Sustainable Habits of Living for The Future

This study looks at consumer behavior in a variety of socioeconomic circumstances with regard to sustainable consumption trends and variables. The study highlights the importance of personal beliefs, sociocultural elements, and outside influences by using a mixed-methods approach to uncover subtle patterns in consumer choices. To comprehend the intricacies of sustainable consumption, the theoretical framework incorporates socioeconomic variables, environmental psychology, and marketing methods. To collect both quantitative and qualitative data, the study makes use of questionnaires, interviews, and content analysis. The results emphasize how business sustainability activities and education play a part in influencing sustainable customer behavior. According to the research, there are still issues that need to be resolved, such as the absence of uniform sustainability criteria and more robust governmental interventions. The results highlight the significance of comprehensive approaches incorporating business, policy-driven, and educational activities for a sustainable future.

A metagenomic approach to demystify the anaerobic digestion black box and achieve higher biogas yield: a review.

The increasing reliance on fossil fuels and the growing accumulation of organic waste necessitates the exploration of sustainable energy alternatives. Anaerobic digestion (AD) presents one such solution by utilizing secondary biomass to produce biogas while reducing greenhouse gas emissions. Given the crucial role of microbial activity in anaerobic digestion, a deeper understanding of the microbial community is essential for optimizing biogas production. While metagenomics has emerged as a valuable tool for unravelling microbial composition and providing insights into the functional potential in biodigestion, it falls short of interpreting the functional and metabolic interactions, limiting a comprehensive understanding of individual roles in the community. This emphasizes the significance of expanding the scope of metagenomics through innovative tools that highlight the often-overlooked, yet crucial, role of microbiota in biomass digestion. These tools can more accurately elucidate microbial ecological fitness, shared metabolic pathways, and interspecies interactions. By addressing current limitations and integrating metagenomics with other omics approaches, more accurate predictive techniques can be developed, facilitating informed decision-making to optimize AD processes and enhance biogas yields, thereby contributing to a more sustainable future.

Savage Gardens: Balancing Maintenance, Aesthetics, and Ecosystem Services in the Biodiversity Crisis Era

The escalating biodiversity crisis, coupled with the increasing frequency of droughts and anticipated water shortages due to climate change, necessitates a shift towards biodiversity-led landscape architecture, including domestic gardens. Traditionally viewed as high-maintenance spaces emphasising tidiness, domestic gardens can significantly impact urban green infrastructure and species richness. This paper explores the concept of ‘savage gardens’—untamed and natural spaces representing a fourth nature approach, incorporating wild gardens and neglected areas. Despite potential challenges in public appreciation, it is argued that savage gardens offer substantial benefits, such as reduced maintenance, increased biodiversity, and enhanced resilience to climate change. By reframing the perception of ‘savage’ from biophobic to a reconnection with nature, savage gardens are proposed as a viable solution for balancing aesthetics, maintenance, ecosystem services, and biodiversity in domestic landscapes, promoting a more sustainable future in the face of the biodiversity emergency.

From Potential to Power: Advancing Nigeria’s Energy Sector through Renewable Integration and Policy Reform

Nigeria is a nation endowed with both abundant renewable and non-renewable energy resources. Despite its vast potential, Nigeria struggles with a consistent power supply due to various systemic issues, such as inadequate funding, infrastructural decay, corruption, technical skill shortages, and macroeconomic instability. These challenges hinder the effective harnessing and distribution of energy resources, particularly renewable ones like wind, solar, biomass, and hydropower. This study assesses the existing energy policies and their efficacy in promoting sustainable energy development towards achieving universal electricity access by 2030. It highlights the necessity for a just energy transition that integrates a substantial proportion of renewable energy into the national grid, aiming to meet up to 60% of the country’s energy demands with clean sources by 2050. This transition is critical not only for energy security and reducing the environmental impact but also for fostering socioeconomic equity. Recommendations include overhauling the legal and regulatory frameworks to support renewable energy growth, particularly in off-grid areas, to ensure clean, affordable, and secure energy access. Strategic investments, enhanced infrastructure, and robust public–private partnerships are essential to overcome the current barriers and realize Nigeria’s energy potential. This paper calls for a comprehensive approach that addresses both the technical and socioeconomic dimensions of the energy crisis, laying the groundwork for a sustainable and prosperous energy future for Nigeria.

Optimal Integration of Renewable Energy, Energy Storage, and Indonesia’s Super Grid

This paper examines the optimal integration of renewable energy (RE) sources, energy storage technologies, and linking Indonesia’s islands with a high-capacity transmission “super grid”, utilizing the PLEXOS 10 R.02 simulation tool to achieve the country’s goal of 100% RE by 2060. Through detailed scenario analysis, the research demonstrates that by 2050, Indonesia could be on track to meet this target, with 62% of its energy generated from RE sources. Solar PV could play a dominant role, contributing 363 GW, or 72.3% of the total installed capacity out of over 500 GW. The study highlights that lithium-ion batteries, particularly with 4 h of storage, were identified as the most suitable energy storage option across various scenarios, supporting over 1000 GWh of storage capacity. The introduction of a super grid is shown to reduce the average energy generation cost to around USD 91/MWh from the current USD 98/MWh. These findings underscore the potential of a strategic combination of RE, optimized energy storage, and grid enhancements to significantly lower costs and enhance energy security, offering valuable insights for policymakers and stakeholders for Indonesia’s transition to a sustainable energy future.

Green logistics: Transforming supply chains for a sustainable future

In the face of escalating climate change and the increasing significance of sustainability, companies are shifting towards green logistics solutions. This article explores the various sustainable practices within logistics, the implementation of green logistics solutions, and the strategies for reducing carbon footprints. The logistics sector, a significant contributor to global greenhouse gas emissions, is under increasing pressure to adopt environmentally friendly practices. By examining case studies and industry data, we provide a comprehensive analysis of the current trends and future directions in sustainable logistics. Our study highlights the importance of integrating eco-friendly transportation, energy-efficient warehousing, sustainable packaging, and advanced inventory management systems. Additionally, we discuss the challenges companies face in adopting green logistics, such as high initial costs, technological limitations, and regulatory compliance. Through this analysis, we aim to shed light on the transformative potential of green logistics in mitigating climate change and promoting long-term sustainability in the supply chain industry.

Modeling of calculations on the performance optimization of a double-flash geothermal renewable energy-based combined heat/power plant coupled by transcritical carbon dioxide rankine cycle

This study investigates the integration of a double-flash geothermal system with a transcritical CO2 Rankine cycle, presenting a groundbreaking approach for enhancing efficient and sustainable energy generation. By harnessing renewable geothermal resources, this combined heat and power system aims to minimize greenhouse gas emissions, contributing to a more sustainable future. The research emphasizes multi-objective optimization to maximize net power output, net heating capacity, and overall system efficiency. The expanded stream pressures from the expansion valves, denoted as P2 and P6, are systematically varied to evaluate their impact on system performance. Significant findings reveal that as P6 increases from 260 kPa to 640 kPa, net power output rises dramatically from 2688 kW to 3163 kW. The optimal conditions for peak performance are identified at P2 of 820 kPa and P6 of 640 kPa, resulting in impressive outcomes: a net power output of 3392 kW, a net heating capacity of 14,586 kW, and an overall efficiency of 52.65 %. By delineating these relationships and establishing benchmarks for performance, this research offers valuable insights for the scientific community, policymakers, and industry stakeholders aiming to advance geothermal energy technologies.

Magnetic Supraparticles as Identifiers in Single-Layer Lithium-Ion Battery Pouch Cells.

The development of effective recycling technologies is essential for the recovery and reuse of the raw materials required for lithium-ion batteries (LIBs). Future recycling processes depend on accessible information, necessitating the implementation of a digital battery passport. The European battery regulation mandates the use of a machine-readable identifier physically attached to the batteries for accessing digital information. Since externally applied optical labels are vulnerable to mechanical damage, technologies for identification without these restrictions could be beneficial. This study demonstrates that magnetic supraparticles (SPs) can be used for contactless identification of lithium nickel manganese cobalt oxide (NMC) battery pouch cells via magnetic particle spectroscopy (MPS) and that multiple pouch cells can be discriminated based on their specific magnetic code. A comparison of three independent model scenarios revealed that the detection of SPs and the impact on cell performance are dependent on the integration location. The results validate the concept of magnetic identification in metallic environments with MPS as an alternative to optical labeling methods. This study provides a foundation for the development of a new selective labeling and identification technology for batteries, with the potential to facilitate recycling and contribute to a more sustainable future.

Remote Sensing-Based Drought Monitoring in Iran’s Sistan and Balouchestan Province

Drought is a natural phenomenon that has adverse effects on agriculture, the economy, and human well-being. The primary objective of this research was to comprehensively understand the drought conditions in Sistan and Balouchestan Province from 2002 to 2017 from two perspectives: vegetation cover and hydrology. To achieve this goal, the study utilized MODIS satellite data in the first part to monitor vegetation cover as an indicator of agricultural drought. In the second part, GRACE satellite data were employed to analyze changes in groundwater resources as an indicator of hydrological drought. To assess vegetation drought, four indices were used: Vegetation Health Index (VHI), Vegetation Drought Index (VDI), Visible Infrared Drought Index (VSDI), and Temperature Vegetation Drought Index (TVDI). To validate vegetation drought indices, they were compared with Global Land Data Assimilation System (GLDAS) precipitation data. The vegetation indices showed a strong, statistically significant correlation with GLDAS precipitation data in most regions of the province. Among all indices, the VHI showed the highest correlation with precipitation (moderate (0.3–0.7) in 51.7% and strong (≥0.7) in 45.82% of lands). The output of vegetation indices revealed that the study province has experienced widespread drought in recent years. The results showed that the southern and central regions of the province have faced more severe drought classes. In the second part of this research, hydrological drought monitoring was conducted in fifty third-order sub-basins located within the study province using the Total Water Storage (TWS) deficit, Drought Severity, and Total Storage Deficit Index (TSDI Index). Annual average calculations of the TWS deficit over the period from April 2012 to 2016 indicated a substantial depletion of groundwater reserves in the province, amounting to a cumulative loss of 12.2 km3 Analysis results indicate that drought severity continuously increased in all study basins until the end of the study period. Studies have shown that all the studied basins are facing severe and prolonged water scarcity. Among the 50 studied basins, the Rahmatabad basin, located in the semi-arid northern regions of the province, has experienced the most severe drought. This basin has experienced five drought events, particularly one lasting 89 consecutive months and causing a reduction of more than 665.99 km3. of water in month 1, placing it in a critical condition. On the other hand, the Niskoofan Chabahar basin, located in the tropical southern part of the province near the Sea of Oman, has experienced the lowest reduction in water volume with 10 drought events and a decrease of approximately 111.214 km3. in month 1. However, even this basin has not been spared from prolonged droughts. Analysis of drought index graphs across different severity classes confirmed that all watersheds experienced drought conditions, particularly in the later years of this period. Data analysis revealed a severe water crisis in the province. Urgent and coordinated actions are needed to address this challenge. Transitioning to drought-resistant crops, enhancing irrigation efficiency, and securing water rights are essential steps towards a sustainable future.

Power generation mix in Colombia including wind power: Markowitz portfolio efficient frontier analysis with machine learning

The Colombian power market is hydro-dominated since 67 % of the power produced comes from hydro-power sources. In addition, it has thermal power from natural gas and coal, and in the last years, alternative energy sources such as wind and solar have been introduced, although so far their share is not significant. Due to this condition, the Colombian power market is very volatile and depends on weather conditions. Usually, in rainy seasons prices are low and power is available, while in dry seasons, prices are high and power can be scarce. One of the main advantages of the new energy sources is that they are complementary to hydro-power, in the case of wind regimes, they are higher during dry seasons and lower during rainy seasons. We propose a complementarity analysis in the energy mix using Markowitz Portfolio analysis to determine if the efficient frontier is improved by introducing wind power to the system and the traditional port-folio analysis is improved by introducing Machine Learning (ML) into calculations. Results show that wind power improves the return while minimizing risk. Therefore, wind power would significantly reduce prices in Colombia's power mix while reducing volatility. This work follows the Open Innovation (OI) paradigm, the intersection of Machine Learning, portfolio optimization, and renewable energy presents a promising landscape for research and practical applications. Continued interdisciplinary collaboration and innovation are essential for harnessing the full potential of these technologies for a sustainable energy future.

Savings and Sustainable Economic Growth Nexus: A South African Perspective

The savings behavior of individuals has been a topic of both macroeconomic and policy importance throughout history. Theoretical and empirical research shows that savings result from several demographic and economic factors working together to produce long-term, sustainable economic growth. This study therefore examined the nexus between domestic savings and sustainable economic growth in a South African perspective between 1990–2023, emphasizing the critical role that savings play in fostering long-term economic stability and environmental resilience. The ARDL framework was used to analyze data from the World Bank and the South African Reserve Bank. The results of the study demonstrate that corporate savings have a major effect on sustainable economic growth, especially over the long term. When corporate savings rise by 1%, the economy expands by 3.12%, which highlights the significant multiplier effect of investment. The extent of this impact depends on factors such as the efficiency of capital allocation, technological capacity, financial market development, government policies, and macroeconomic stability. These factors collectively determine how effectively corporate savings are transformed into productive investments that drive sustainable economic growth. Conversely, savings made by the government and the public, especially in the long run, have no appreciable impact on sustainable economic growth. Given that domestic savings mobilization is the most suitable channel for financing capital accumulation to support economic growth and development, the study suggests reviewing current policies to encourage domestic savings mobilization. This paper contributes to the broader discourse on sustainable economic policies in emerging markets, offering actionable insights for policymakers, financial institutions, and stakeholders promoting a more sustainable economic future for South Africa.

Current Scenario and Global Perspective of Sustainable Algal Biofuel Production.

Industrialization and globalization have increased the demand for petroleum products that has increased a load on natural energy resources. The escalating fossil fuel utilization has resulted in surpassing the Earth's capacity to absorb greenhouse gases, necessitating the exploration of sustainable bioenergy alternatives to mitigate emissions. Biofuels, derived from algae, offer promising solutions to alleviate fossil fuel dependency. Algae, often regarded as third-generation biofuels, present numerous advantages owing to their high biomass production rates. While algae have been utilized for their bioactive compounds, their capability as biomass for the production of biofuel has gained traction among researchers. Various biofuels such as bio-hydrogen, bio-methane, bio-ethanol, bio-oil, and bio-butanol can be derived from algae through diverse processes like fermentation, photolysis, pyrolysis, and transesterification. Despite the enormous commercial potential of algae-derived biofuels, challenges such as high cultivation costs persist. However, leveraging the utilization of algae byproducts could improve economic viability of biofuel production. Moreover, algae derived biofuels offer environmental sustainability, cost-effectiveness, and waste reduction benefits, promising novel opportunities for a more sustainable energy future.

Strategies for engaging students in sustainability initiatives and fostering a sense of ownership and responsibility towards sustainable development

This study investigated successful strategies for engaging students in sustainable initiatives and encouraging a sense of accountability and ownership for sustainable development. Using a qualitative study methodology, eighty-three (83) administrators and lecturers from ten (10) Ugandan higher institutions participated in in-depth interviews. The data revealed eight major themes: awareness and education, practical engagement and hands-on activities, integration into the curriculum, student leadership and ownership, community and collaboration, recognition and reward, personal relevance and connection, and long-term impact and legacy. These results are consistent with international best practices in sustainability education, highlighting the necessity of an all-encompassing strategy incorporating knowledge dissemination with practical experience and active student involvement. Nonetheless, by offering context-specific insights pertinent to developing nations like Uganda, where such strategies have not received enough attention, our study attempts to address the literature gap. The findings highlight the importance of institutional support and offer practical suggestions for university administrators, educators, and policymakers who want to increase student involvement in sustainability projects. This study adds to the expanding body of information on sustainability education and provides a useful framework for using higher education to promote a sustainable future.

Navigating the Nexus: A Comprehensive Analysis of the Evolving Interplay Between Environmental, Social and Governance (ESG) and Sustainability in Contemporary Business

This research, based on an in-depth review of 67 papers, explores the intersection of environmental, social and governance (ESG) and sustainability practices in modern business. The study underlines the distinction between these concepts and their evolving significance in the global business landscape. With a methodology anchored in the PRISM framework, the systematic literature review reveals key insights. Notably, it identifies the global adoption of ESG and sustainability strategies, driven by stakeholder demands for transparency. The systematic literature review methodology ensures a comprehensive analysis, providing actionable insights for businesses navigating responsible and resilient strategies. The study also points to future research avenues, emphasising areas such as social origins and consumer behaviour, alternative ESG ratings, ESG failures and challenges, ESG integration into valuation models, sustainable investment strategies in specific sectors and the impact of ESG during crises like COVID-19. The research contributes to a comprehensive understanding of the relationship between ESG and sustainability. The findings offer practical implications for organisations aligning with ethical practices, meeting stakeholder expectations and securing a sustainable future.

Empowering rural South Asia: Off-grid solar PV, electricity accessibility, and sustainable agriculture

This study investigates the impact of off-grid solar photovoltaic (PV) systems on electricity accessibility and agricultural sustainability in rural South Asia, employing panel data methodology: least square dummy variable (LSDV) and Lewbel instrumental variable (IV) approach. The findings demonstrate a robust positive association between solar PV adoption and increased electricity access, even when accounting for individual and period-specific factors. Increased electricity access significantly contributes to higher agricultural value added per worker, but not necessarily to the overall share of agriculture in the economy. This analysis also reveals a positive and significant impact of solar PV (SPV) on agricultural value added per worker, independent of rural electrification levels. Heterogeneities across time and context, along with country-specific factors, play crucial roles in shaping these relationships. While factors like government effectiveness and GDP per capita have complex and sometimes counterintuitive effects, access to land, agricultural employment, and capital investments all contribute positively to agricultural sustainability. The Lewbel IV method offers strong impact of SPV on electrification, independent of external factors, and its direct contribution to agricultural output, make it a compelling tool for empowering rural communities and building a more sustainable future in South Asia. Robustness of the result is validated through three approaches: measuring variable averages at three-year sub-periods, applying three-stage least squares (3SLS), and utilizing alternative methods (panel corrected standard errors (PCSE), feasible generalized least squares (FGLS)) to consider various data characteristics. Off-grid solar PV emerges as a game-changer for rural electrification and a catalyst for sustainable agricultural development in South Asia. Governments and development agencies can prioritize investments in solar PV systems to address energy poverty and boost agricultural productivity.

Can control aid in attaining sustainable goals? An improved data-informed framework to promote shared mobility

This work explores the role control theory and practices can play in nudging a virtuous shift in mobility habits (e.g. from vehicle ownership to usership), while keeping individual inclinations and needs in the (control) loop using data. To this end, an EU-wide survey is leveraged with a two-fold objective. First, a fine-grained characterization of individuals (the Sharing-DNA) is provided, dictated by the main socio-economic drivers for adopting shared mobility solutions extracted from the data. Second, a network is constructed to mimic mutual influences among individuals based on information on mobility patterns extrapolated from the EU survey. These ingredients are merged into an irreversible cascade model, representing the stepping stone for designing optimal, human-centered incentive policies to nudge the use of shared mobility services. In the quest to attain a trade-off between usage maximization and investment containment, the tuning of the design knobs is explored accounting for individuals’ centrality within the influence network. An extensive set of simulated scenarios demonstrate the potential benefits of individualized closed-loop policies in promoting sustainable mobility choices while respecting individualities, showcasing how the proposed framework can become an actionable tool for policymakers toward a more sustainable future.

Tailoring tea residue-derived nitrogen-doped activated carbon for CO2 adsorption: influence of activation temperature and activating agents.

Embracing CO2 mitigation strategies, such as state-of-the-art CO2 capture technologies, is essential for effectively reducing atmospheric carbon levels and advancing global efforts toward a more sustainable future. In this context, adsorption sequestering techniques utilising carbon materials have emerged as promising candidates for CO2 capture. These materials have been extensively researched with a range of tuning methods to optimise their physicochemical features. In this study, an alteration of the N-doped activated carbon was successfully performed, utilizing tea residue as the carbon precursor and ammonia as the nitrogen source, facilitated through an impregnation procedure. With the objective of discovering the effect of diverse activation parameters on prepared adsorbent physicochemical properties, several selections of activating agents (AA) were investigated: KOH, H3PO4, ZnCl2, and NaOH, together with broad thermal activation temperature from 873 to 1173K. The best-performed adsorbents from the respective AC group were subjected to several characterisation analyses and found to the enhanced structural features, heteroatom doped-rich surface (i.e. N and O); together with AA-induced metal/mineral functionalization, the NaOH-used AC (NAC-N-1173) was the optimum-performed adsorbent with a promising 4.12mmol/g CO2 uptake capacity, higher than other prepared adsorbent including N-doped tea residue-derived char and commercialized AC with 175 and 325% higher, respectively.

Atomically dispersed iron sites from eco-friendly microbial mycelium as highly efficient hydrogenation catalyst

Iron, one of the most abundant elements on earth and an essential element for living organisms, plays a crucial role in our daily metabolism. In the field of catalysis, the development of high-performance catalysts based on less toxic iron element is also of significant importance for green chemistry and a sustainable future. To construct Fe-based heterogeneous catalysts with excellent hydrogenation performance, precise modulation of the atomic coordination structure is a key strategy for enhancing catalytic activity. In this study, we present an in-situ coating method for applying a zeolitic imidazolate framework (ZIF) onto the surface of fungal hyphae. The asymmetric coordination structure of Fe1-N3P1 was precisely tailored by utilizing the phosphorus source from the fungus and the nitrogen source in the ZIFs. Detailed characterizations and density functional theory calculations revealed that the incorporation of ZIFs not only increased the specific surface area of catalysts, but also facilitated the dispersion of Fe2P nanoparticles into the Fe1-N3P1 center, making the lowest reaction energy barrier and resulting in the best performance for nitrobenzene hydrogenation when compared to the Fe2P nanoparticles and clusters. This research introduces a novel design concept for constructing asymmetric monoatomic configuration based on the inherent characteristics of natural microorganisms and the exogenous porous coordination polymers.