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Antioxidants (ATOs) such as tocopherol and synthetic ATOs such as Butylated Hydroxytoluene (BHT), Butylated Hydroxyanisole (BHA), and Tertiary-Butyl Hydroquinone (TBHQ) are used in the food and supplement industry to extend shelf life and protect products from oxidation.  Due to concerns over long-term exposure to synthetic ATOs, there is a search for natural alternatives like rosemary and green tea, which have shown efficacy in preserving oils and other products.  However, natural ATOs exhibit significant chemical variations due to diverse cultivation and extraction processes, making it challenging and costly to identify the optimal combination for maximum efficacy.  Machine learning, capable of extracting patterns from input data for predictive analysis, can offer a solution by predicting the peroxide value (PV) in peanut oil using chemical parameters and storage duration. Six machine learning classifiers (logistic regression, multilayer perceptron, radial basis function, Gaussian Naïve Bayes classifier, support vector machine, and decision tree) were employed, with the multilayer perceptron demonstrating the highest predictive performance, achieving an accuracy of at least 89.8% in determining whether PV remains within acceptable limits post-storage in peanut oil.  Edible oil manufacturers, food and beverage companies, natural antioxidant suppliers, food quality testing laboratories and agricultural processors can use this technology to improve the quality and stability of their output. The technology consists of a predictive model based on machine learning algorithms that utilises key chemical parameters to forecast the PV in peanut oil during storage.  Specifically, the model employs six machine learning classifiers: logistic regression, multilayer perceptron, radial basis function, Gaussian Naïve Bayes classifier, support vector machine, and decision tree.  The model uses input parameters such as total phenolic content, total antioxidant content, total carotenoid content, partition coefficient, and storage duration to predict PV, which is crucial for assessing the stability and safety of peanut oil. This technology can be deployed in the food and beverage industry, particularly within sectors focused on edible oil production, food preservation, and food safety testing. It also has applications in the agriculture industry, particularly for oilseed processors, and in the health and wellness industry where natural antioxidants are of interest. This technology can be applied in: 1. Edible Oil Production: To monitor and predict the stability and shelf life of various edible oils during production and storage. 2. Food Preservation: To ensure that food products containing oils remain safe and of high quality throughout their shelf life. 3. Quality Control: As a quality assurance tool to validate the effectiveness of natural antioxidants in preserving food products.   This technology could be marketed in following products/services: 1. Predictive Software for Oil Stability: A software tool designed for oil producers to predict the PV and shelf life of their products. 2. Enhanced Edible Oils: Oils treated with specific formulations of natural antioxidants optimized using the predictive model. 3. Food Quality Monitoring Kits: Integrated solutions combining chemical analysis with the machine learning model for real-time monitoring of oil stability in food products. 4. Consulting Services: Offering expertise in applying this predictive model to optimize food preservation processes. This technology offers significant improvements in the following areas: 1. Predictive Accuracy: Unlike traditional methods that rely solely on periodic testing of PV, this technology leverages machine learning to predict PV with high accuracy, allowing for proactive management of oil stability. 2. Comprehensive Parameter Integration: Integrating multiple chemical parameters, providing a more holistic and precise assessment of oil stability compared to conventional methods that might focus on fewer variables. 3. Reduction in Testing Time and Costs: By accurately predicting PV, this technology can reduce the need for time-consuming stability tests, lowering operational costs and speeding up the decision-making process for product release. 4. Adaptability to Natural Antioxidants: This technology is particularly effective in assessing the stability of oils preserved with natural antioxidants, addressing a growing industry demand for clean-label and natural food preservation methods.   The Unique Value Proposition in comparison to the current “State-of-the-Art”: 1. Machine Learning-Driven Precision: Advanced machine learning algorithms that significantly enhance the precision and reliability of PV predictions are used, setting it apart from conventional approaches. 2. Enhanced Safety Profile: By focusing on natural antioxidants and accurately predicting their efficacy, this technology supports safer food products, meeting consumer for natural preservation methods over synthetic alternatives. 3. Scalability Across Various Oils and Food Products: The technology’s ability to be tailored to different types of oils and food products provides a competitive edge, making it a versatile tool for the industry. Infocomm, Artificial Intelligence

The use of plastic waste is severely restricted due to high levels of contamination, expensive sorting processes, and the non-homogeneous nature of the materials. These challenges contribute to low recycling rates both locally and globally, with most plastic waste being disposed of through landfilling or incineration, leading to further environmental concerns.  This technology aims to create sustainable products and processes for infrastructural applications by transforming mixed plastics from municipal solid waste (MSW) into raw materials like fibres, aggregates, and polymer modifiers, which can be incorporated into bituminous mixtures. It is the first of its kind to enable the direct use of MSW mixed plastics without the need for extensive sorting. The as-received mixed plastic waste is processed into standardized forms commonly used in the construction industry. Given the large scale of infrastructure projects, this technology can absorb significant volumes of plastic waste, reducing the demand for landfill space and eliminating greenhouse gas emissions (such as CO2) and toxic pollutants (like dioxins) from incineration.   The technology owner is looking for collaborations (R&D, test-bedding and/or licensing) with oil industry companies, road paving companies, building and construction industry players, waste management centres, institutes of higher learning (IHLs), and government agencies.  The technology incorporates several proprietary systems designed to efficiently process mixed plastic waste. These include:  Sink-float vessels: Provide high separation efficiency, allowing for the effective separation of mixed plastic waste based on density.  Calibration library: Offers accurate real-time measurement of the composition of as-received mixed plastic waste, ensuring precise processing.  Compositional adjustment/standardization unit: Standardizes the composition of mixed plastics to meet industry requirements for infrastructure applications.  Advanced Mechanical Recycling (aMR) process line: A cutting-edge process line that converts mixed plastics into usable raw materials, such as polymer modifiers, for incorporation into bituminous mixtures. These technical features enable the transformation of contaminated, mixed plastic waste into standardized, valuable products for the construction industry.  Substitute for commercial polymer-modified bitumen in asphalt road pavements.  Substitute for commercial polymer modifiers in waterproofing materials.   Coatings and paints for marine, floating, coastal protection, and underground structures.  First-of-its-Kind Technology: Allows direct use of as-received mixed plastics from MSW without the need for costly and complex sorting processes.  Standardized Materials for Infrastructure: Processes mixed, contaminated plastics into standardized materials used in construction, such as polymer-modified asphalt. Consistency Through NIR Calibration Model: Uses a Near Infra-Red (NIR) calibration model and machine learning based on NEA’s plastic composition data to ensure consistent quality of mixed plastic waste.  Enhanced Bituminous Mixtures: Improves technical properties of bituminous mixtures by creating a 3D cross-linked polymer structure within the matrix, enhancing durability.  Cost Savings: Offers 15%-25% cost savings compared to conventional polymer-modified bitumen.  Environmental Impact: Reduces waste going to landfills and incineration, providing a sustainable solution for the construction sector. recycled mixed plastics, polymer modified bitumen, asphalt wearing course, binder testing, environment testing, microplastics, ground water Waste Management & Recycling, Industrial Waste Management, Sustainability, Sustainable Living

The growing impacts of global warming and rapid urbanization have amplified the demand for innovative thermal management solutions. Urban areas are particularly vulnerable to rising temperatures due to the urban heat island (UHI) effect, where cities become noticeably warmer than rural regions. This leads to higher energy demands for cooling, resulting in increased electricity consumption, rising energy costs, and a greater carbon footprint. To tackle these challenges, the technology owner has developed an energy-efficient and versatile cooling coating designed to reduce heat absorption on various surfaces. By incorporating uniformly dispersed nanofillers into the coating, this solution effectively maintains cooler interior temperatures, reducing the reliance on energy-intensive cooling systems. Ultimately, it results in a significant energy saving and a lower carbon footprint. The adaptable coating can be applied to buildings, vehicles, greenhouses, and other infrastructure, providing protection against thermal degradation. As sustainability and energy efficiency become increasingly important, this eco-friendly solution aligns with market trends in green building practices, urban heat mitigation, and cost-effective energy management. The technology owner is actively seeking partnerships with relevant industrial partners to explore IP licensing opportunities for this technology. Unlike traditional anti-heat coatings that rely on pigments, metallic particles, and microspheres with large particle sizes (>10 µm), which result in an opaque appearance, this technology uses additives with much smaller particle sizes (≤1 µm). This allows for superior light transmission while providing effective thermal protection. The passive cooling coating technology offers the following key features: Enhanced Light Transmission: Utilizes ultra-fine nanoparticles (≤1 µm) as additives Tuneable Passive Cooling: Customisable cooling properties to meet specific needs Uniform Nanofiller Dispersion: Ensures consistent cooling performance Consistent Coating Layer: Ensures smooth application with a highly uniform layer Single-Layer Application: Achieves optimal cooling effects with a thin coating of less than 10 µm Easy-to-Apply: Can be manually applied without requiring complex equipment Potential applications of the passive cooling coating technology include, but are not limited to: Automobiles: Suitable for trains, conventional vehicles, electric vehicles (EVs), etc. Building Applications: Ideal for façades, windows, skylights, and other architectural elements Solar Panels: Helps enhance energy efficiency by minimizing overheating Agriculture: Greenhouse films to improve temperature control in agricultural settings Other Applications: Beneficial for any surface requiring temperature reduction under intense solar exposure Superior Light Transmission: Incorporating ultra-fine additives (≤1 µm) for enhanced transparency while maintaining excellent thermal protection Ultra-Thin and Efficient: Can be applied in a single and smooth layer with a thickness of less than 10 µm, ensuring both efficiency and aesthetic appeal Highly Customisable: Additive types and loadings can be tailored to meet specific cooling and aesthetic requirements, offering great flexibility Commercially Ready Additives: Utilizes readily available additives, eliminating the need for complex laboratory synthesis, making it cost-effective and scalable Ceramic coatings, Anti-heat, Global Warming, Urban Heat Island Chemicals, Coatings & Paints, Green Building, Heating, Ventilation & Air-conditioning, Sustainability, Sustainable Living

Boron is an essential micronutrient necessary for the growth and development of plants, animals, and humans, while also playing a critical role in industries such as manufacturing, agriculture, and semiconductors. However, while beneficial in trace amounts, excessive boron levels can be toxic. High concentrations in drinking water pose significant health risks, particularly to reproductive and developmental systems, while boron contamination in industrial water supplies can degrade process efficiency and product quality. Current methods for boron removal, such as reverse osmosis and ion exchange, face significant limitations. Reverse osmosis struggles to remove boron efficiently, especially in seawater desalination, often requiring multiple stages and high energy consumption to achieve acceptable levels. Ion exchange resins pose low loading capacity and require massive harsh chemicals for regeneration.  The proposed boron absorption technology provides a solution that efficiently removes boron from diverse water sources, including seawater and wastewater. It effectively reduces boron levels to meet stringent standards, such as drinking water limits of less than 0.5 mg/L. The technology aligns with sustainability goals, consuming fewer chemicals and exhibiting strong recovery stability. Additionally, the proposed absorbent is flexible, customizable and compatible with various water treatment applications. The technology owner seeks partnerships to integrate this solution into existing water treatment systems or collaborate on industrial-scale demonstration projects to address boron contamination across multiple sectors. High Efficiency: Effectively reduces boron concentrations in various water sources, including seawater and wastewater, meeting stringent standards (e.g., <0.5 mg/L for drinking water). Sustainability: Consumes trace chemicals during the process and offers robust regeneration stability. Flexible & Customizable: Sponge-like composite, elastic and flexible, allowing easy scalability for large-scale applications. Cost-Effective: The technology lowers operational costs due to its high performance and reduced chemical usage. Desalination Plants: Particularly useful in seawater desalination, where boron concentrations must be reduced to meet drinking water standards. Drinking Water Systems: Ensures that water meets strict regulatory standards. Industrial Wastewater Treatment: Removes boron from industrial effluents, especially in sectors that release boron-laden waste, ensuring compliance with environmental regulations. Semiconductor Industry: Used to purify water in semiconductor manufacturing, where trace amounts of boron can affect production quality. Superior Boron Removal Efficiency: Achieves boron concentrations below 0.5 mg/L, meeting stringent drinking water standards, which is a challenge for existing methods like reverse osmosis and ion exchange. Cost-Effectiveness: The high-performance absorbent minimizes chemical input during regeneration, contributing to both cost reduction and sustainability. Robust Recovery and Stability: Exhibits strong regeneration stability over >15 cycles, maintaining its high performance. boron removal, column adsorption, low environmental footprint, flexible, sustainable Environment, Clean Air & Water, Filter Membrane & Absorption Material, Sustainability, Sustainable Living

With rising concerns over environmental pollution and energy shortages, it is crucial to explore alternative green energy sources. Hydrogen stands out as a promising option, especially its use in proton exchange membrane (PEM) fuel cells. PEM fuel cells offer high efficiency, durability, and pollution-free operation, making them ideal for transport applications and stationary on-site power generation. However, despite their advantages, PEM fuel cells face challenges, including scaling multi-stack systems for large applications, optimising the performance control systems to maintain efficiency, and improving affordability and long-term durability for widespread adoption. To address the challenges and meet high-power demands, the technology owner has designed a patented multi-stack PEM fuel cell system after more than a decade of iterative development. This highly optimized air-cooled system features patented innovations in stack design, optimised assembly processes, and an advanced performance boost control system. The system delivers 2-3 times higher energy density compared to lithium batteries and allows rapid refuelling in just a few minutes. These qualities make it ideal for applications where a lightweight, efficient, and clean energy source is essential, such as drones, telecommunications, and remote power supplies, as well as environments sensitive to air pollution. The technology owner is seeking collaboration with industrial partners, particularly companies interested in manufacturing fuel cells, developing fuel cell systems, creating customised fuel cell applications, or engaging in joint R&D for fuel cell system innovation. Power Range: A single fuel cell stack provides a power output ranging from tens of watts to a few kilowatts Suitable for a wide range of applications with flexible and scalable power needs Multi-Stack Design: System's capacity can be significantly increased by combining multiple stacks, enabling higher power output for more demanding applications Power Density: Achieves a power density of approximately 1-1.5 kW/kg Ideal for weight-sensitive applications that require a highly efficient power-to-weight ratio Quick Refuelling: System can be refuelled in just a few minutes, ensuring minimal downtime and continuous operation This lightweight PEM fuel cell system is designed for weight-sensitive and remote power applications, offering an efficient alternative to traditional generators and lithium batteries. Potential applications include, but are not limited:  Drones and Unmanned Uerial Vehicles (UAVs): Fuel cells significantly reduce system weight, extending drone flight times from minutes to hours - up to three times longer than lithium battery-powered drones. This is particularly ideal for industrial uses like: Inspection Security Surveillance where extended flight duration is critical Remote Power Supply: The system provides reliable power for remote sites, off-grid and backup, efficiently powering low to medium equipment. It serves as a practical alternative to generators, especially in areas where consistent electricity or low emissions are required, such as: Remote communication towers Emergency power systems Portable or Light Vehicle Power: By extending runtime and range without frequent recharging, the fuel cell system reduces downtime and eliminates charging-related risks. It is particularly suitable for: Centralized locations (e.g., ports, airports, large warehouses) where continuous operation is crucial Portable off-grid power solutions due to the lightweight design Powering light vehicles Our technology offers distinct advantages that set it apart: Optimized Fuel Cell Design: Over a decade of iterative development has led to a highly optimised air-cooled fuel cell system. From stack component design to assembly processes and operational control, every aspect has been optimized, resulting in significantly higher power density compared to conventional systems Zero Emissions: Leveraging the inherent nature of fuel cells, this solution delivers clean energy with zero emissions, making it an environmentally friendly alternative Ideal for Weight-Sensitive Applications: The combination of the lightness of hydrogen with advanced fuel cell technology offers a significant advantage for weight-sensitive applications where a long-lasting, clean power source is critical PEM Fuel Cell, Hydrogen Energy, Fuel Cells, Electronics, Power Management

Materials play a crucial role in the development of metallic products, but traditional alloying methods face significant challenges due to rising costs and the limited supply of key materials, such as copper, which has experienced a price increase of over 60% in the past decade. Additionally, conventional melting processes, such as resistance heating, are often constrained by poor temperature control, uneven heating, and high energy consumption, leading to inconsistent alloy quality and increased production costs. Addressing these issues is essential for improving the economic viability and environmental sustainability of engineering projects. This technology introduces a novel approach that combines unconventional alloying concepts with induction melting to overcome the limitations of traditional methods. By employing multiple high-content alloying elements, this method enables the creation of alloys with unique and enhanced properties that go beyond what is possible with traditional single-element alloys. Induction melting results in uniform heating, reduced energy consumption, and enhanced alloy quality, significantly improving the production process. The technology is capable of developing specialized alloys, such as light metal alloys, while addressing the pain points of material and production costs and environmental sustainability. Specifically, the developed alloys offer microhardness of 95-100 Hv, tensile strength of 305-320 MPa, and an excellent strength-to-weight ratio, providing a competitive alternative to conventional materials like copper and brass. The technology owner seeks collaborations with industry players in appliance manufacturing, aerospace, automotive, construction, and electronics to co-develop and commercialize these advanced resistive heating applications.  Processing Accurate Heating: Induction heating allows for highly accurate and rapid temperature control, essential for melting and alloying processes involving multiple elements. Uniformity: The advantage of adopting an induction furnace is that it is a clean, energy-efficient and well-controlled melting process, compared to most other means of metal melting, thus reducing the risk of segregation or uneven melting. Efficiency: Induction heating converts electrical energy directly into heat within the metal, minimizing energy loss. This can lead to lower operating costs and a smaller environmental footprint. Versatility: Induction heating can be used to melt a wide variety of multicomponent alloys, from simple binary alloys to complex ternary or quaternary compositions. It can handle metals with varying melting points and electrical conductivities. Materials Enhanced Properties: By combining multiple elements, it's possible to achieve superior properties like increased strength, corrosion resistance, heat resistance, or electrical conductivity. Tailored Performance: The precise composition of a multicomponent alloy can be adjusted to meet specific requirements, making them versatile materials for a wide range of applications. Advanced Processing: The use of induction melting can provide the requirement of proper mixing and homogeneity for this type of complex alloys. Multicomponent alloys, due to their tailored properties and superior performance, have a wide range of potential applications across various industries: Aerospace: Lightweight alloys for aircraft structures to reduce weight and improve fuel efficiency. Automotive: High-strength alloys for vehicle frames and other structural components. Lightweight alloys for body panels, wheels, and other components to improve fuel efficiency. Construction: High-strength alloys for buildings, and other structural components. Corrosion resistant alloys for marine structures, piping, and other applications exposed to harsh environments. Electronics: Conductive alloys for electrical connectors, wires, and other components. Tailored Properties: Multicomponent alloys provide highly customizable compositions, allowing precise tuning of properties like strength, weight, conductivity, and corrosion resistance to meet specific application needs. Superior Performance: These alloys offer significant improvements over traditional materials, such as enhanced strength, corrosion resistance, and thermal stability.  Induction Melting, Metal Alloys, Multicomponent Alloys Waste Management & Recycling, Industrial Waste Management, Sustainability, Low Carbon Economy

This software is a cutting-edge artificial intelligence-based management solution, designed to transform the landscape of professional sports through advanced performance analytics and optimization. This versatile technology is a comprehensive system comprising three innovative modules: MONITOR, EVALUATE, and COACH, each tailored to address the pivotal challenges in sports management—athlete well-being, resource optimization, and tactical decision-making. The software is poised for application across a broad spectrum of sports, promising to equip professional teams with the tools necessary for sustaining peak performance, ensuring athlete health, and securing a competitive advantage. We are actively seeking partnerships with sports teams, technology firms, and academic institutions to further develop and commercialize this groundbreaking solution. AI-SPOT not only signifies a leap forward in sports management technology but also offers a scalable model for future advancements in athlete performance optimization. It introduces a paradigm shift in sports analytics by integrating advanced artificial intelligence to offer unprecedented insights into athlete management, performance optimization, and strategic decision-making. This technology sets a new benchmark over existing solutions with its innovative approach to athlete load monitoring, injury prediction, and match performance analysis, addressing the multifaceted needs of professional sports teams. At its core, the software is engineered to mitigate the prevalent risks of injuries and athlete burnout, employing machine learning to analyze and balance internal and external loads for optimal athlete performance and longevity. Its user-friendly interface allows for real-time adjustments and predictions, ensuring athletes can perform at their peak while minimizing the risk of injury. The EVALUATE Module elevates resource and manpower management by utilizing a rich dataset of historical and projected performance metrics, facilitating strategic decisions that align with the team’s objectives. Through customizable evaluation protocols and cross-validation techniques, AI-SPOT delivers precise and actionable insights. In the throes of competition, the COACH Module shines by providing real-time visual analytics and strategic recommendations based on AI-generated data, enabling coaches to make informed decisions on the fly. This module’s use of Voronoi tessellation for visualizing game dynamics offers unparalleled insights into athlete and team performance. Its robust and versatile technology, validated by diverse datasets from various sources, showcases its wide-ranging applicability beyond traditional sports analytics. Its adaptability and predictive accuracy present a significant opportunity for innovation across multiple sectors. The primary and extended application areas include: Professional Sports Teams: The cornerstone application, where AI-SPOT enhances performance analysis, injury prevention, and tactical decision-making, directly contributing to the success and longevity of athletes. Fitness and Rehabilitation Centers: Utilizing AI-SPOT's predictive analytics for personalized training programs and injury recovery processes, thereby improving client outcomes and service quality. Military Training and Performance Optimization: Applied within the Singapore Armed Forces and similar institutions worldwide, AI-SPOT can optimize soldier training, monitor load to prevent overexertion, and enhance overall combat readiness. Entertainment and Performing Arts Management: In artist management, AI-SPOT can analyze performance stress and optimize schedules to prevent burnout, ensuring peak performance during tours and productions. Educational Institutions and Sports Academies: To develop young athletes, AI-SPOT can provide insights into optimal training loads, performance tracking, and injury risk assessments, fostering a healthier approach to sports education. Sports Medicine and Research: Offering a data-driven foundation for studies on athlete performance, injury prevention, and rehabilitation methods. Wearable Technology Integration: Development of products that integrate AI-SPOT's analytics with wearable devices, providing real-time feedback and insights to athletes and coaches. The solution stands out in the competitive landscape of sports analytics with its integration of advanced machine learning algorithms, offering unparalleled accuracy in injury prediction and performance assessment. This technology not only bridges the gaps found in previous research but also introduces a holistic approach to athlete management and tactical decision-making. Here are the distinct benefits and advantages that define AI-SPOT's unique value proposition: Innovative Aspects: Predictive Analytics for Injury Prevention: AI-SPOT leverages cutting-edge AI to predict the risk of injuries with high precision, allowing teams to implement proactive strategies to safeguard athletes. Comprehensive Performance Assessment: Beyond traditional metrics, AI-SPOT analyzes both tangible and intangible factors affecting performance, providing a 360-degree view of an athlete's contribution. Real-time Tactical Decision Support: The COACH Module empowers coaches with actionable insights during games, enhancing strategic decisions with data-driven confidence. Key Advantages for Users: Enhanced Athlete Longevity and Well-being: By accurately predicting injury risks and optimizing training loads, AI-SPOT contributes to the health and career longevity of athletes. Strategic Resource Allocation: The EVALUATE Module aids in the intelligent deployment of resources, ensuring that teams can maximize their performance potential efficiently. Competitive Edge in High-stakes Competitions: Real-time insights and tactical analytics provide teams with a strategic advantage, turning data into a powerful tool for winning.   Infocomm, Artificial Intelligence

Oxygen enrichment membrane technology is emerging as a promising, cost-effective, and energy-efficient method for producing oxygen-enriched gas (OEG) with oxygen purities of 30-45%. Traditional oxygen production methods, such as cryogenic distillation and pressure swing adsorption, are often costly, energy-intensive, and complex, making them less suitable for applications requiring moderate oxygen enrichment. This innovative technology addresses these challenges through a thin-film composite (TFC) hollow fiber membrane that incorporates a novel use of polydimethylsiloxane (PDMS) as a selective layer on a polyethersulfone (PES) substrate. The PDMS selective layer is applied using a flow coating technique, which is both simple and scalable, allowing for consistent production of high-performance membranes. The technology was upscaled to commercial-sized membrane modules producing 15-53 Nm³/h of OEG with oxygen purities between 31-38%. The membrane system operates at ambient temperatures and pressures, offering significant energy savings and reduced operational costs compared to traditional methods. The benefits of this technology are substantial, including improved cost-effectiveness, enhanced energy efficiency, and flexibility in scalability, making it suitable for a wide range of industrial applications.  The technology owner is seeking collaboration with membrane manufacturers to further scale up this innovative technology, and with end-users who have a demand for oxygen-enriched gas with 30-40% O₂ purity. Two-Piece Module Design: Features a two-piece configuration with central coupling, enhancing compatibility with the TFC membrane and PDMS coating for a uniform, defect-free selective layer. Simplified Maintenance: Allows replacement of only the affected half of the module, reducing maintenance costs. Prototype System: Comprises 20 modules in a containerized skid with an air compressor, wet air receiver, refrigerated air dryer, and scaffolds. Operational Efficiency: Operates at 5 bar, producing OEG at 15-53 Nm³/h with 31-38% oxygen purity. Integration with OEG Gasifier: Replaces part of the liquid oxygen in municipal solid waste gasification, achieving 34.5-45.2 Nm³/h flow rate and over 20% liquid oxygen replacement in a 7-day test. With the ability to generate oxygen-enriched gas (OEG) with oxygen purity levels between 30 to 45% at a low working pressure of 5 bar, the TFC hollow fiber membrane technology offers versatile commercial applications across various industries: Healthcare Sector: Suitable for medical uses that require oxygen purity levels of 30 to 40%, such as oxygen therapy and respiratory support. Wellness Industry: Applicable in nitrox diving, oxygen bars, and training rooms, where controlled oxygen environments can enhance user experience and performance. Combustion Manufacturing Sectors: Ideal for furnace combustion, wastewater incineration, and petrochemical processes that benefit from oxygen-enriched air with 25 to 35% oxygen purity, leading to improved combustion efficiency and reduced emissions. Aquaculture Industry: Used for aeration in recirculating aquaculture systems (RAS), enhancing oxygen levels in water to support healthier and more productive aquatic environments. Additionally, the technology produces a pressurized nitrogen-enriched retentate stream of nitrogen purity greater than 85%. This nitrogen-enriched gas stream can be utilized in: Chemical and Oil & Gas Industries: Employed as an inert purge gas to prevent combustion and oxidation reactions during various processes. Food and Refinery Industries: Used as a blanketing gas to protect sensitive products from oxidation, moisture, or contamination, ensuring product quality and safety.  These diverse applications highlight the technology's flexibility and potential to enhance operational efficiency, safety, and sustainability across multiple sectors. Cost-Competitive for Moderate O₂ Purity and Lower Flow Rates: Offers clear cost advantages for applications requiring OEG with 30-40% oxygen purity and flow rates below 1200 Nm³/h, making it ideal for retrofitting existing plant. Low Operating Pressure: Generates OEG at a lower pressure of just 5 bar, compared to 7-14 bar for existing technologies, enhancing safety and reducing operational costs. Easy Installation and Low Set-Up Costs: Simple to install with minimal upfront investment, reducing barriers to adoption. Quick Start-Up: Delivers oxygen-enriched gas of the required purity immediately upon start-up, improving operational efficiency and responsiveness. Modular and Flexible Design: The modular system allows customization to meet a wide range of OEG demands, providing flexibility in application across various industries. Low Maintenance and Easy Operation: Requires minimal maintenance, simplifying operations and reducing downtime. Portability: Can be designed as a portable system, enabling on-site oxygen generation for diverse applications. membrane, air separation, oxygen enriched gas, hollow fibres Chemicals, Polymers, Sustainability, Sustainable Living, Low Carbon Economy

Faced with the increasing levels of carbon dioxide, carbon capture, utilisation, and storage (CCUS) technologies have garnered significant attention. However, as most CCUS technologies rely heavily on various forms of monetary support from governments and faced numerous technical and scalability challenges, most of the CCUS facilities developed are unable to achieve financial profitability or even achieve a net reduction of carbon dioxide (CO2) emissions. The technology proposed herein relates to an electrochemical-based CO2 reduction reaction process, which can directly capture and convert CO2 to carbon nanotubes (CNTs), a high-value material that exhibits unique electrical and thermal properties suited for applications in various sectors, including electronics, energy storage, sensors and medical uses. In contrast to synthesis methods that involve complex reactions and expensive catalysts, the proposed method uses a molten salt chemistry that can convert CO2 to cathodic solid carbon nanotubes (CNTs) via the electrochemical process. Although high reaction temperature (about 760 degC) is required, this method is highly controllable and uses cost-effective pure iron catalyst, producing high quality CNTs at a relatively high production rate. Based on preliminary process modeling and technoeconomic analysis, this technology has the potential to be completely CO2-negative without re-emission, is more scalable, and profitable with high quality CNT materials. The technology owner is seeking to collaborate with industry partners and research institutions for joint R&D to advance the lab scale technology to pilot or event industrial production scale, as well as to explore applications for the CNTs produced. Upon further development, the system has the potential to be integrated with existing carbon capture systems to improve their financial viability and achieve carbon negative objective. The molten salt CO2 reduction reaction enables CO2 conversion into high value nanostructured CNTs, which captures carbon as a solid and stable material, complementing other processes that convert CO2 into combustible fuels. Provides a highly controllable production method, using cost-effective pure iron (Fe) as a catalyst and lithium carbonate (Li2CO3) based electrolyte. The electro-reduction reaction and CNTs produced exhibits good graphitization degree (0.24 ID/IG intensity ratio), high Faradaic efficiency (~80%), with a high production rate (~58 gCNTs gFe-1 h-1). Based on a preliminary process modeling and technoeconomic analysis, the system may potentially achieve a profitable CO2 utilisation, subject to further scale up and detailed studies. Energy Storage: The high-quality CNTs produced could be utilised in next-generation batteries and supercapacitors, enhancing energy storage capacity and charging speeds. Aerospace and Automotive: Lightweight, strong CNT composites could be developed for use in aircraft and vehicle manufacturing, improving fuel efficiency. Construction: CNT-reinforced materials (such as CNT-reinforced concrete) could lead to stronger, lighter building materials with improved durability and insulation properties. Environmental Remediation: The technology itself serves as a carbon capture solution, potentially deployable near industrial CO2 emission sources. Textiles: CNTs could be incorporated into smart textiles for wearable technology applications. Water Purification: CNT-based filters could be developed for advanced water treatment systems. The carbon nanotube (CNT) market is projected to grow from USD 1.1 Billion in 2023 to USD 2.3 Billion by 2028, at a CAGR of 14.6% between 2023 and 2028. This proprietary electro-reduction process has the potential to achieve a net reduction of CO2 emissions without re-emission, offering an efficient and scalable CCUS solution, while producing high value CNTs material for various industrial uses. The process allows for CNTs to be produced with higher purity and quality than was previously possible from CO2. CCUS, CNTs Sustainability, Low Carbon Economy