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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 increase in porcine production in Thailand has led to a rise in the volume of waste and by-products from farrow-to-finish farms. Among these by-products, the porcine placenta is of particular interest due to its rich composition of bioactive components such as cytokines, enzymes, growth factors, collagen, bioactive peptides, vitamins and nucleic acids. Hence, there is growing interest in developing appropriate technologies to derive value from this resource, transforming it into high-value products. This technology presents an innovative serum with the primary ingredient being peptides derived from hydrolysed porcine placenta. The peptides were selected based on specific molecular weight sizes which influence bioactivities. The porcine placenta hydrolysate facial serum was found to reduce melanin production, diminish facial skin dullness, decrease water loss from the skin surface, maintain skin moisture, and enhance facial skin elasticity. The peptides are derived from hydrolysed porcine placenta using enzymatic methods and ultrafiltration membrane separation, which ensures high biological activity. Advanced techniques were used to analyse peptide structures, determining the amino acid sequences that exhibit significant biological activity. Various biological activities were tested both in vitro and in vivo cells, allowing the identification of effective doses.  Rich in epidermal growth factor, antioxidants, anti-tyrosinase, anti-elastase and anti-bacterial peptides, the serum’s efficiency was evaluated on 30 volunteers over one month, adhering to pharmaceutical principles and with proper human research ethics approval. The porcine placenta hydrolysate facial serum was found to reduce melanin production in a month, increase skin firmness and elasticity by 60% in 2 weeks and hydrates the skin after use. The peptides produced from hydrolysed porcine placenta developed for use in various types of skincare and cosmetics. The process can be extended to develop applications as alternate functional food ingredient and dietary supplements. This proprietary technology enables the production of peptides with small particle size that can be absorbed more easily into human skin. Moreover, this product does not need to be further converted to an active form such as in the case of retinol, leading to faster improving skin. Personal Care, Cosmetics & Hair, Nutrition & Health Supplements, Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Sustainable Living

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

Nasopharyngeal cancer (NPC) is one of the most common head and neck cancers with a geographical predilection. It is usually diagnosed with an advanced-stage disease which still has a relatively low survival rate despite radical definitive treatment. Nasopharyngeal cancer usually affects adults between 35 and 55 years of age and there are no simple non-invasive examinations or blood tests to reliably detect nasopharyngeal cancer at an early stage yet. The gold standard for testing and diagnosing Nasopharyngeal Carcinoma (NPC) typically involves a combination of assessments using 1) Clinical [Endoscopy, Serologic testing for Epstein-Barr Virus (EBV) antibodies, DNA quantification of plasma EBV] ; 2) Pathological [Biopsy] ; 3) Radiological [Imaging-MRI, CT/PET-CT]. NPC is a common malignancy in Hong Kong, Greater Bay Area of China, Singapore, Malaysia, Indonesia and other ASEAN countries. This technology has developed a rapid, accurate, and non-invasive rapid antigen test in diagnosis and early relapse prediction of nasopharyngeal carcinoma. This technology has identified via single-cell RNA sequencing significant diagnostic biomarkers and mutations in tumour subclones or subpopulations which are highly correlated with diagnosis and early treatment relapse of nasopharyngeal carcinoma, respectively. The results were stringently validated with multiple bioinformatics analysis. A 3D-printed nasopharyngeal swab was specially designed to facilitate an easy, rapid, non-invasive, and sensitive method of tumour cell capture and biomarker detection. The technology owner is seeking to partners with global and regional pharmaceutical companies and laboratories with diagnostic facilities and expertise. Using a large number of patients with previously untreated non-metastatic NPC, the technology owner has identified a panel of biomarkers from primary tumours of the nasopharynx and positive neck nodes at the time of NPC diagnosis, and another set of biomarkers with early disease relapse prior to the commencement of radical definitive treatment for NPC. This non-invasive rapid diagnostic test shall provide accurate and sensitive results within 20 minutes after placing the tumour-enriched 3D-printed NP swabs in the test kits. The technology has been trialed for 5 years and is at the last phase of clinical testing. The technology can be commercialised for community clinic settings so that patients may obviate the need of referral to specialists like otolaryngologists for diagnosis of NPC using endoscopic examinations and nasopharyngeal tumour biopsies. This eliminates painful procedures, offering an alternative diagnosis method in times of endemic or pandemic outbreaks such as COVID-19. The technology is targeted to be commercialised in 2026. This invention shall become the future Point-Of-Care Testing (POCT) for diagnosis and early relapse prediction of NPC that can be easily adopted in community clinics or primary healthcare settings for NPC screening and diagnosis, substantially saving long waiting time for referral to specialist clinics or tertiary hospitals. This invention is the first of its kind in rapid cancer diagnostics in the world, which has the potential to facilitate massive non-invasive NPC screening in highly endemic countries including China, ASEAN countries, and North African countries etc. Through detection of early-stage NPC and accurate prediction of early treatment relapse, this will lead to faster and more effective treatment in the long term, which will improve the survival rate prognosis, saving patients’ lives as well as their working capacities and productivity in these endemic areas at the peak age onset between 30 and 40 years of age. Conventional diagnostic methods have a low positive predictive value and can be costly for patients. This technology has identified different sets of biomarkers for both early diagnosis and treatment relapse prediction for NPC which could not be detected by other currently available standard methods. The results show that the performance of this rapid diagnostic test including accuracy, sensitivity and specificity of these biomarkers are at least comparable or even better than that of the gold standard at >95% for early diagnosis and >80% for relapsed remissions. Nasopharyngeal Carcinoma, Rapid Diagnostic Tests, Single-Cell Sequencing, Relapse Prediction, Diagnosis Healthcare, Diagnostics, Pharmaceuticals & Therapeutics, Life Sciences, Industrial Biotech Methods & Processes, Biotech Research Reagents & Tools

Maritime carbon emissions are a significant contributor global climate change. The maritime industry faces increasing pressure to comply with stringent carbon emissions regulations from entities like the European Union (EU) and the International Maritime Organization (IMO). Traditional compliance methods are often manual, time-consuming, and prone to errors, leading to increased operational costs and the risk of hefty non-compliance penalties. This technology is an artificial intelligence (AI) powered platform that automates data collection, emissions calculation, and regulatory reporting for maritime carbon compliance. Seamlessly integrating with existing vessel data systems, it utilizes advanced machine learning algorithms to provide real-time tracking of carbon emissions and Carbon Intensity Indicator (CII) performance across entire fleets. The AI-platform also automates the parsing and extraction of data from various document formats using cutting-edge natural language processing (NLP) and machine learning technologies, adapting to unstructured and semi-structured data without the need for predefined templates. The technology owner is interested to work with Singapore companies in the maritime sector to testbed the technology and support activities on effective carbon footprint management. The team is also seeking co-development projects on the proprietary AI platform for automated document processing and data extraction across various industries. This patent-pending technology is an AI-powered data collection and processing system capable of handling various data formats from ship operations. Features of this platform for include: Automated Data Integration: Connects with various vessel data sources to extract operational and fuel consumption data without manual input Advanced Emissions Analytics: Calculates emissions in real-time, adhering to EU ETS, IMO DCS, and CII standards EUA Management Module: Simplifies the handling of EU Allowances transactions Predictive Modelling: Uses machine learning to forecast emissions and CII ratings based on operational changes API Accessibility: Provides RESTful APIs for seamless integration with existing enterprise systems Robust Security: Ensures data protection through encryption and compliance with international data regulations Scalability: Designed to accommodate fleets of all sizes with customizable features Additional features of the AI document parsing component include: Versatile Data Handling: Processes PDFs, images, handwritten text, and speech-to-text conversions Advanced NLP Algorithms: Understands context to extract relevant data accurately Machine Learning Adaptability: Learns from each document to improve over time Security Compliance: Meets GDPR standards with end-to-end encryption API Integration: Easily connects with ERP, CRM, and other enterprise systems User-Friendly Dashboard: Allows for easy monitoring and management without technical expertise This technology can be deployed by stakeholders in the maritime sector including (but not limited to): Global Shipping Operations: Streamlining compliance for vessels operating in international waters Fleet Management: Enhancing operational efficiency and sustainability across entire fleets Regulatory Agencies: Assisting in monitoring and enforcing emissions regulations Maritime Logistics Firms: Integrating emissions data for comprehensive supply chain management The AI document parsing technology is also suitable for adjacent sectors such as: Financial Services: Automating loan applications, compliance documents, and financial reporting Healthcare: Streamlining patient data entry, billing, and insurance claims Legal Industry: Simplifying contract analysis and due diligence processes Supply Chain Management: Enhancing data accuracy in inventory and shipping documentation Holistic Solution: Integrates compliance management with operational optimization in one platform and eliminates the need for manual template creation, saving time and resources Real-Time Monitoring: Empowers companies to make immediate adjustments to stay compliant with quick integration into existing systems User-Friendly Interface: Simplifies complex regulatory requirements into actionable insights and capable of handling industry-specific documents with minimal customization maritime, logistics, carbon footprint, carbon emissions, greenhouse gas, carbon, sustainability, scope 3, carbon management, artificial intelligence, blockchain, shipping, vessel management, port, digital transformation, operational efficiency, AI document parsing, data extraction, automation, natural language processing, machine learning, document processing Infocomm, Artificial Intelligence, Natural Language Processing & Semantic Technology, Logistics, Transportation, Sustainability, Low Carbon Economy

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