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TECH OFFERS

Discover new technologies by our partners

Leveraging our wide network of partners, we have curated numerous enabling technologies available for licensing and commercialisation across different industries and domains. Enterprises interested in these technology offers and collaborating with partners of complementary technological capabilities can reach out for co-innovation opportunities.

Modular Sanitary Device for Electroproduction of Ozonated Water with Sanitising Properties
With the recent surge in various kinds of pathogens and viruses, there has been a strong demand for hygiene-focused products globally. This is especially true for water, with increasing fear of pathogen being spread via unsanitary water. Ozone dissolved in water, or more commonly known as ozonated water, has been used to produce safe drinking water at water purification plants because of ozone's sanitising properties. However, conventional gas dissolution methods have limited the applications because it is difficult to incorporate both safe ozone production and ozone dissolution into water in the same small product. This technology offer is a modular sanitary device that is able to electro-produce ozonated water for sanitisation. This device can, on-demand, instantaneously generate ozonated water via electrolysis. The ability for on-demand generation circumvents the problem where ozonated water loses its sanitising properties over time. Furthermore, this modular device be easily designed to have variable performance depending on the number of devices connected and the control of current and flow rate. Therefore, they can be easily designed to be integrated into existing products (e.g. household water purifiers etc.) Lastly, this device can efficiently dissolve ozone in water as well which addressed the dissolution problems faced in other systems.
Adsorbent for Low Concentration & Room Temperature Adsorption of Carbon Dioxide
In recent years, there has been an increasing demand for carbon dioxide (CO2) adsorbents due to climate change. These materials can be used for CO2 capture in both flue gas and directly from the air which can mitigate and reduce greenhouse gas (GHG) emissions. The current conventional CO2 adsorbents includes alkaline salts, aqueous amine solution and metal organic frameworks (MOF). However, these materials are expensive (MOF) and suffers from problems such as heat generation (alkaline salt) to energy intensive post-adsorption recovery (aqueous amine solution) which severely limits its wide scale adoption. This technology offer is an amino-based resin adsorbent for low concentration and ambient temperature CO2 adsorption and desorption. This adsorbent is capable of adsorbing low concentrations of CO2 in air at room temperature and generates little heat when adsorbing CO2. It is also possible to capture CO2 from flue gas in the same manner as well. In addition, the regeneration (release of CO2) of the adsorbent can be performed at low temperature with significantly less energy consumption than existing materials.
Hyper Realistic Virtual Lighting System for Video Productions/Photography
Having the correct lighting is an important aspect of video production, not only does it allow video creators to light the subject of the video correctly - ensuring the absence of distracting shadows or unnecessary reflections on reflective objects, it also allows content creators to convey the right artistic expression. The requirements of selecting the correct lighting temperature, strength (light intensity), and lighting effects are determined by the lighting arrangement and the way lighting is applied at the location, making it difficult to modify what has already been shot in post-production. Therefore, lighting modifications require reshoots, which require a lot of effort and cost. For a typical video production involving a single subject, the lighting set-up is typically a three-point lighting arrangement to produce a three-dimensional (3D) lighting effect. This three-point lighting comprises the main light, fill light, and finally, background light. This technology offer comprises a specialised lighting apparatus that constitutes a set of light emitters and light receivers, and matching/modelling software that maps the reflectance of the object and the background to allow lighting conditions to be changed post-production in a realistic manner, preserving the texture and natural lighting effect between the foreground and background. This technology makes it possible to create images as desired by the creator without the need for special equipment or knowledge of lighting, from a single specialised light.
High Density Microalgae Cultivation
Microalgae has been successfully cultivated at a large scale commercially to produce nutraceuticals, pigments, and aquaculture feed. It can also be used as an alternate protein source and biofuels. However, conventional open pond microalgae cultivation methods are susceptible to contamination by undesirable organisms from the environment and the cost of production can be relatively high. Many microalgae species are surrounded by a rigid cell wall which requires energy intensive mechanical methods to disrupt the cell wall to access the cellular contents. The degree of algal biomass utilisation is largely dependent on ease of access to the cellular contents. A unicellular red algae strain (Cyanidium & Galdieria from the Cyanidiales class) found in sulfuric hot springs worldwide was developed to overcome these issues. These red algae strains contain thermostable phycocyanin (blue colorant) and higher concentrations of proteins, Gamma-aminobutyric acid (GABA) and Vitamins C, E & K compared to other commercially available microalgae strains. This technology relates to a method of cultivating cell wall-less red algae strains at densities 50 times higher than commercially cultivated microalgae in an open pond. This also drastically reduces the cost of cultivation by 10 times (USD 1/kg vs. USD 10/kg by conventional methods). Through self-cloning, the algal cellular contents can be altered. Alternatively heterologous proteins such as peptide vaccine can be accumulated in the algal cells for animal health applications. The technology provider is looking to license the high intensity red algae farming method. They are also interested in co-development of nutraceuticals and functional animal feeds.
Immunity Boosting UHT Beverages and Ready to Eat Products Having Heat-Stable Colostrum
Bovine colostrum, a highly nutritious food has high concentration of immunoglobulins, antimicrobials lactoferrin, lysozyme, lactoperoxidase, growth factors and other bioactive components. Immunoglobulins, a major immune fraction, are natural antibodies which boost immunity against a wide range of bacterial and viral infections. Immunoglobulin G (IgG) constitutes about 80 to 90 percent of immunoglobulins in bovine colostrum. Thermal treatment of colostrum causes a significant loss in the immunity boosting property of IgG due to its denaturation. A novel technology has been developed to protect immunoglobulin G (IgG) against heat, thereby enabling retention of about 65 to >90 percent of its bioactivity in dairy and related products after heat processing. The patented technology uses powder formulations having “heat stable” colostrum. These are reconstituted in water for the manufacture of bioactive “Ready to drink” (RTD) UHT (long life) beverages and “Ready to eat” (RTE) products on a commercial scale. The powders can be used with other naturally occurring bioactive ingredients to get additional health benefits. The long-life beverages do not have added preservatives, have a shelf life of 3 to 9 months under ambient conditions. These can be made with different flavours and enjoyed by both adults and children. The technology employs low-cost heat processing which can be used by manufactures of dairy products and beverage / juice manufacturers, including small scale manufacturers.  The inventor of this technology would like to collaborate with manufacturers of dairy products / beverages / juices/ nutritional supplements and license the technology for manufacturing immunity boosting products.
AI-enabled Virtual Modelling for Reduction of Energy, Carbon Dioxide Emission
Manufacturing plants constantly seek opportunities to save energy, reduce cost, and be more environmentally sustainable. However, achieving these goals often requires heavy expenditure in the form of hiring teams of experienced engineers, who then perform cost-reduction tasks manually - this method is time-consuming, costly, and prone to inaccuracies due to the risk of human error.  This technology offer provides a no-code Artificial Intelligence (AI) powered platform that monitors energy consumption, carbon dioxide(CO2) emission, and operational expenditures (OPEX) in real-time. The AI engine builds a virtual cognitive model (digital twin) of a physical asset, e.g. a manufacturing plant or a piece of machinary. Simulations are carried out on the model to predict operational inefficiency i.e. high energy usage, equipment breakdown, etc. Upon detection of inefficiencies, the engine is able to suggest the best operating parameters to resolve the inefficiency.
Effective and Green Antifungal Antimicrobial Agent for Perishable Foods and Beverages
Perishable foods are food products that have a very short shelf life. Maximising the shelf life of these food products through food preservations would help to reduce food wastage and strengthening the global food system. Food preservation techniques include thermal, electrical, chemical and radiation methods. Currently, antifungal microbial agents are mainly synthetic chemicals and the effectiveness often depend on the nature of the food, its pH and moisture content. The technology offer is an ingredient in the form of protein powder or liquid that can be formulated into different applications based on the functional needs. A few examples of finished product would be a food additive for plant-based meat alternatives, a post-harvest coating or an active packaging to reduce food loss of fresh fruits and vegetables material. The technology provider is seeking R&D collaboration and IP licensing opportunities with partners who are interested to further develop this technology.
Multifunctional 3D Printed Porous Carbon Materials Derived From Paper
This technology offer is technique that can turn renewable cellulose paper feedstock into lightweight carbon foams that are architected into highly complex geometries that cannot be produced through traditional manufacturing techniques, such as closed-cell lattices. These carbon foam lattices exhibited excellent mechanical properties, particularly in energy absorption, as well as good battery characteristics, low thermal conductivity and relatively good electrical conductivity. Unlike most traditional carbon foams that are brittle, paper-based carbon foams can withstand ~ 30% strain before significant deformation sets in. These multifunctional properties, the quick and easy customization of part geometry and the use of green feedstock are expected to be useful for aerospace, automobile, sports, medical and thermal insulation markets, as they search for the next generation of eco-friendly, high-performance materials. This technology is available for R&D collaboration, IP licensing, or test bedding, with partners such as battery manufacturers, supplier to battery manufacturer, space industry, etc.
Deep Neural Network (DNN) Approach for Non-Intrusive Load Monitoring (NILM)
Existing methods for load monitoring typically focus primarily on residential building data, while few look at the effectiveness of such systems for industrial or commercial buildings. Apart from the use of this technology for real-time supply-demand response, such methods can be extended for use in anomaly detection, small-scale load change detection, or an estimation of energy usage, without the associated high costs of sub-metering equipment. The proliferation of neural networks for such demanding tasks solves the computationally expensive problem of traditional methods like Hidden Markov Models (HMM) and fuzzy clustering algorithms. This technology offer is a neural network solution for residential and industrial energy management. It utilises a time-series forecasting tool to predict load, renewable energy generation, and electricity prices, without the need for costly sub-metering equipment. It is based on reinforcement learning algorithms which are trained by rewarding and penalising neural network algorithms for good or bad decisions respectively, the solution is a non-intrusive technique that helps residential and commercial end-users save on energy costs in the open energy market by scheduling their load demand for heating, ventilation, air conditioning (HVAC) systems, washing machines, and charging of their Electric Vehicles (EVs).