TECH OFFERS

Keratins are naturally occurring proteins found in hair, feathers, wool and other external protective tissues of animals. They are highly abundant, naturally produced and generally underutilized. At the same time, keratins offer versatile chemical properties that allow interactions with themselves or with other materials to improve behaviour. The technology provider has developed sustainable, biodegradable plastic materials by upcycling keratins derived from hair and feathers. In the preliminary studies, the technology provider has found ways to produce films that have the potential to be used as packaging materials. These films do not disintegrate readily in water, yet they fully degrade in soil within a week. They can be made in combination with other waste-derived biopolymers to improve strength to meet the needs of specific use cases. This technology is available for R&D collaboration, IP licensing, or IP acquisition, with industrial partners who are looking for a green packaging solution and to explore specific-use-case products. The technology provider is also interested to collaborate with the OEM partners having the keratin extraction facility from feathers and hair for the deployment of this technology. Nature-derived material from waste streams (agricultural, livestock and human hair) Tunable strength, ~60% strength of PE film Stable in water over 3 weeks (hydrostability) Fully degraded in soil within 7 days at room temperature without the need for industrial facilities  Protein based film. Possibility to incorporate bioactive functionalities into the film Biodegradable packaging material- these films do not disintegrate readily in water, yet they fully degrade in soil within a week Biodegradable composites-  potential to be combined with existing biopolymers such as cellulose to make strong composites for food contacting packaging and utensils Sustainable upcycling of abundant waste streams Fully biodegradable in a short time within a natural environment Possibility to include bioactives This technology is available for R&D collaboration, IP licensing, or IP acquisition, with industrial partners who are looking for a green packaging solution and to explore specific-use-case products. The technology provider is also interested to collaborate with the OEM partners having the keratin extraction facility from feathers and hair for the deployment of this technology. Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Circular Economy

Face anti-spoofing (FAS) has recently drawn increasing demand as one of the critical technologies for reliable and safe authentication systems to prevent fraudulent operations. Traditional FAS approaches become unreliable when more and more realistic presentation techniques emerge.  An artificial object like a photo, video, mask, or other substitute that imitates the unique biological properties of a person is presented to the biometric scanner.  Biological determination technology identifies physical traits as well as social and psychological conditions to determine the authenticity of a unique living person. Liveness detection is defined as biometric detection that can discriminate between the features of live skin and copies of those features in a fraction of a second. However, as every man-made solution can be defeated, efforts to enhance and improve liveness detection always remain a work in progress. This technology offer is an identification method which can prevent spoofing more robustly by providing multiple biological determination processes in an arbitrary order determined by the system. Thus, the probability of correctly guessing a unique pattern for performing biometric determination actions decreases exponentially, preventing the preparation of authentication presentation actions beforehand.    The technology prevents anti-spoofing by engaging the user in a few tasks. The system will instruct the user to follow through with a few sets of biological determination action items. During which the system captures face images at a predetermined frame rate to validate the expected outcome.  The biological determination action includes:  •    Face orientation •    Eye orientation •    Opening and closing state of eyes •    Opening and closing state of mouth •    Wearing and removing of spectacles •    Wearing and removing of masks The system can also include fake object detection by analysing the outer frame of the subject, e.g., photograph's outer frame that is not matching the rest of the background. Two or more biological determination factors can be selected randomly from multiple actions; in pre-defined or random order and validated based on the images captured during the process. In this case, the patterns for performing the actions increase exponentially by adjusting the number, content and execution order. This prevents the users from being able to prepare any artificial mode of authentication material in advance.     This technology offer can be adopted by software/application/system developers providing personal authentication functions, and potentially applied to the following systems:  Applications running on smartphones or computers - eKYC (electronic Know Your Customer)) Entrance control system Digital banking biometric verification (2FA) Social media/gaming/dating profile verification     This technology enables identification service providers the opportunity to further improve countermeasures against identity fraud using biometric liveness detection.  Compared to other anti-spoofing methodologies, this technology may provide more secure countermeasures by a combination of multiple biological determination processes as well as fake determination functions. The technology owner is interested in licensing to software /application developers providing facial authentication functions in various industries, e.g., access control, digital banking, social media profile, etc. anti-spoofing, anti-impersonation, identity verification, biological determination technology, living body Electronics, Sensors & Instrumentation, Infocomm, Security & Privacy, Big Data, Data Analytics, Data Mining & Data Visualisation, Embedded Systems

Mixed plastic waste is an abundant resource containing approximately 7-12 wt.% hydrogen (H2). Traditionally, hydrogen is produced from non-sustainable fossil feedstock, such as natural gas, coal and petroleum oil. This technology offer is a thermo-catalytic process that sustainably recovers hydrogen from plastic waste instead. During hydrogen recovery process, instead of releasing carbon dioxide (CO2) that causes greenhouse gas effect, the technology converts emissions into a form of solid carbon, called carbon nanotubes (CNT). Solid carbon is easier to store and handle compared to the gaseous carbon dioxide. Furthermore, carbon can be sold as an industrial feedstock for manufacturing of polymer composites, batteries, concrete, paints, and coatings. With over 150-190 million tonnes of mixed plastic waste ending up in landfills and our environment annually, the technology offers a sustainable solution for the elimination of plastic waste and decarbonization while providing a clean hydrogen supply. Thermo-catalytic production of hydrogen. The hydrogen gas stream produce contains a purity of 60 – 70 vol% for downstream applications. Further purification can be conveniently achieved by conventional separation technologies, such as membranes and pressure swing adsorption Output of hydrogen can be from 500 – 100 kg to 2500 – 5000 kg/day Mixed and contaminated plastic waste can be used as feedstock (eg. municipal plastic waste, flexible laminate packaging waste, marine plastic litter, sorted polyethylene and propylene waste etc.) Hydrogen recovery from plastic waste is up to 70-150 kg hydrogen from 1 tonne of plastic waste, depending on composition and purity of feedstock The maximum amount of greenhouse emissions that can be captured during hydrogen recovery are 2.5-3.4 tonnes CO2 equivalent per 1 tonne of treated plastic waste (subject to plastic waste composition). Carbon is captured in a solid form (CNT), which is easier to store than gaseous greenhouse gas emissions This technology offer is applicable for industries that are keen to recycle plastic waste or looking for alternative clean generation of hydrogen. The potential applications include: Plastic material reprocessing facilities Waste management companies Hydrogen production companies Sustainable production of hydrogen using plastics Reduction of plastic waste pollution No CO2 generated (carbon captured as CNT) Non-selective feedstock (mixed and contaminated plastics can be used) Hydrogen, Hydrogen recovery, Carbon capture, Storage, Decarbonisation, Plastic waste, Sustainability, Recycling, Energy Energy, Waste-to-Energy, Waste Management & Recycling, Sustainability, Circular Economy, Low Carbon Economy

Traditionally, companies which deploy various assets in the field have to manually locate them to either service them, or just to find out where they are to collect them. Examples of these assets could be movable types like supermarket trolleys, delivery vehicles, hospital wheelchairs, etc., or non-movable types like machinery and equipment. By attaching small, IoT-based tracking devices to these assets, the asset owner will be able to track and locate them automatically. In addition, the operating status and physical parameters of the asset can be measured by additional sensors embedded into the tracking device. These location and condition data gathered by the asset tracking device can enable further downstream decisions to be made. For example, process enhancement such as predictive maintenance, real-time inventory management, or a simple track and trace operation, etc. Human-based errors can be minimised, increasing operational efficiency. This technology offer is an IoT-based asset tracking device that is fully customisable to perform various additional sensing functions. The device is also capable of monitoring its own operating conditions and associated environmental parameters. The technology owner is keen to do R&D collaboration with application developers from industries such as asset management, equipment management, logistics and the hospitality industry. The main features of the asset tracker device are: Communications range up to 10 km (within cellular coverage) Temperature range between -40 to 80 deg Celsius Battery life of 5 years Communication using NB-IoT or LTE-M Cloud-based data storage Web-based dashboard Miniature, compact size  Adaptable for all kinds of sensors Automatic alerts using email and other messaging services if the location is out of range, exceeds the boundary conditions, and weak battery power  This technology offer can be deployed in the following applications. Logistics, Last-mile delivery Fleet management Equipment management Industrial automation This technology offer can be customised further to include other sensors and different communication protocols.  The asset tracking device offers: Ultra low power operation; long battery life of more than 5 years for certain deployments Fully customisable with various sensors and different communication protocols The technology owner is keen to do R&D collaboration with application developers from industries such as asset management, equipment management, logistics and the hospitality industry.   Electronics, Sensors & Instrumentation, Embedded Systems, Infocomm, Geoinformatics & Location-based Services

Despite the increasing prevalence of obesity, all FDA-approved medications, which act indirectly on the central nervous system to suppress appetite or on the gastrointestinal tract to inhibit fat absorption, suffer from poor effectiveness and side effects. Most of these medications have been withdrawn from the market. Although liposuction performed in clinics can effectively remove targeted subcutaneous fat, it suffers from invasiveness, high costs, associated risks, induction of compensatory increase of visceral fat. Although thermal lipolysis induced by high-power laser energy is a non-invasive way to reduce subcutaneous fat, its effectiveness is limited and it often causes skin burning. Both liposuction and laser lipolysis cannot improve whole-body metabolism. The technology owner has developed a transdermal mild photothermal therapy directly acting on the root of evil, i.e. subcutaneous fat, to induce its ameliorating remodelling (browning, lipolysis, angiogenesis, and apoptosis), based on the injectable hydrogel encapsulated with photothermal agent. Browning refers to the conversion of energy-storage white fats into energy-burning brown fats. Further, combining with pharmaceutical therapy by codelivery of pharmacological agent leads to a strong therapeutic synergy. This method not only ensures high effectiveness and low side effects due to localized and targeted application but also remotely creates significant improvements in whole-body metabolism (e.g., reduction of visceral fat, relief of diabetic symptoms). In addition, this technology is applicable for cosmetic purposes, e.g., body contouring and reduction of double chin. The technology owner is seeking potential biotechnology companies, clinicians, and other partners to clinically translate and commercialize this technology. Possible modes of collaboration include R&D, process, and product development. Photothermal agents and pharmacological agents are encapsulated in biocompatible and biodegradable hydrogel which retains the therapeutics to ensure sustained effects. After being injected into subcutaneous fat depots (e.g., belly fat) using an insulin needle or an automated injection device with minimal pain, NIR irradiation at each injection site will be applied for only five minutes using a portable laser source, one to three times a day for several days without the need of another injection. This described procedure (injection + laser treatment) can be applied once or several times. Obvious mass reduction of the treated fat and other beneficial effects on the whole-body should be resulted. In contrast to laser lipolysis, this procedure shall be much more effective, pain free without causing skin burning, and profoundly beneficial. It can be conducted in clinics by professionals or be self-administered at home for long-term care. The primary application area of our technology is for treating obesity and associated metabolic diseases (e.g., type 2 diabetes). This technology can also be used for non-therapeutic or cosmetic purposes, including contouring, sculpting, or slimming one or more regions of the subject’s body for a desirable appearance. To be specific, this technology can locally remove stubborn fat below the chin, or in thigh, abdomen, thorax, flank, upper limb, upper body, lower limb, back, etc.   As highlighted by Mordor Intelligence, the anti-obesity drugs market was valued at about US$ 1,690 million in 2020, and it is expected to reach US$ 4,250 million in 2026, registering a CAGR (compound annual growth rate) of 15% over the forecast period, 2021-2026. And according to IMARC Group, the global body contouring market reached a value of US$ 7.3 billion in 2021, and is expected to reach US$ 11.1 billion by 2027, exhibiting at a CAGR of 6.9% during 2022-2027. This technology provides an unprecedented solution with high effectiveness and low risks. Non-invasive targeted treatment on subcutaneous fat Drastic reduction of subcutaneous fat and visceral fat Relief of obesity-associated metabolic diseases (e.g., diabetes) Low risks and low side-effects High effectiveness Self-administrable Obesity, Diabetes, Metabolic Diseases, Transdermal Therapy, Personal Care, Slimming Healthcare, Medical Devices, Pharmaceuticals & Therapeutics

Singapore is currently only producing 13% of its vegetable consumption. With little farming land available, Singapore relies heavily on imports from other countries. Due to increasing focus on food security, the alternative to solve land scarcity problem is to build greenhouses on concrete rooftop. Although concrete rooftop greenhouse are able to keep pests out, there is a signifcant heating problem which severely inhibits the growth of the vegetables. Therefore, there is a need for a rooftop greenhouse that is able to actively cool itself to avoid such problem. This technology offer is a modular rooftop greenhouse farming system (hydroponics) capable of producing vegetables on concrete roofs to meet the local demand while reducing over-reliance on imports. The design of the greenhouse farming system enables cooling and does not heat up, thus allowing the growth of pest-free vegetables. The system is approximately the size of a typical carpark lot (2.5 x 5 m). The production rate is 30 kg per month (2.5 x 5 m size) and requires minimal human intervention. The technology offer comprises both the farming system and its operation know-how. The modular rooftop greenhouse farming system can be set-up within 3 days or scaled-up when required with guaranteed vegetable growth. The break-even cost of one greenhouse is about 3 years. The technology owner is seeking to out-license their technology. This technology offer is a temperature regulated and modular farming system (hydroponics) for rooftop farming. The features and specifications are as follows: Modular and scalable Flexible sizes (as small as 2.5 x 5 m) 30 kg/month (2.5 x 5 m size) Active cooling design (20% reduction in temperature) Passive system operation (minimal manpower) Anti-pest  Quick setup (3 days) Applicable for wide range of crops The main application for this technology is for those that are interested in rooftop farming. The potential applications are: Conversion of barren and unused concrete space into temporary/permanent arable land (eg. Carpark rooftops, schools, apartments, factories and floating platforms etc.) Can be applied to high-value crops Minimal human intervention is needed as the modular greenhouse farming system encompasses Internet of Thing (IoT) and automation Ability to scale-up immediately greenhouse, vegetable, urban farming, rooftop farming, bak choy, deep water culture hydroponics system, hydroponics, pesticide-free, farming IoT, farming automation Life Sciences, Agriculture & Aquaculture, Sustainability, Food Security

Different plant species have different nutrient requirements. The current practice of urban farming uses a generic hydroponic nutrient solution that is suitable to most plant types, and a crude sensing system that only measures total ion content in the solution. This approach often results in nutrients deficiency and/or overloading and hence requires consistently monitoring. Overloading of nutrients not only increases the input costs, it also results in greater quantities of contamination in effluent to be disposed after harvest.  A targeted hydroponic nutrient solution reduces the need to periodically adjust the nutrient. The technology provider has studied and formulated different nutrient recipes that had shown improved yield compared to commercial products. This ensures the best growth for each crop type. It also reduces common problem stemming from imbalanced nutrient, e.g. leaf chlorosis due to nutrient deficiency. All these translate to a better yield and a more marketable produce for the farmers. Formulations developed include Mizuna, Kale, Lettuce, Mustard, Kalian, and Caixin. The technology provider is seeking for licensing partners from the agriculture industry. The common practice of urban farming is to discard the spent nutrient solution after a few cycles of plant growth. A targeted hydroponics nutrient solution reduces the frequency needed to periodically adjust the nutrient. The technology provider has formulated the nutrient formulation that has considered the rate of nutrient uptake by the desired plant, the nutrient’s ratio and its availability in the solution. The formulation is specific to individual crop types and ensures the best growth for each crop type, e.g. lettuce or kale.  Indoor hydroponics farmers  Fertiliser / chemical production company may wish to market this as solution to farmers or to produce as off-the-shelf products for mass market consumer Agriscience company may package this as a solution to downstream clients   Increases yield (up to 20%) Reduces the manpower needed to monitor the nutrients intake of the plant More resource-efficient with lesser nutrient adjustment Reduces common problems stemming from imbalanced nutrients Sustainable, eco-friendly solution that can potentially lead to zero-wastage Better nutrition for the consumer nutrients solution, plant growth, crop optimisation, plant nutrients, nutrients recipes, nutrients formulations, kale, caixin, mizuna, kailan, mustard, lettuce Life Sciences, Agriculture & Aquaculture, Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Food Security

The presence of heavy metals in food or feed powders involves contamination of the food chain and potential harm to public health, as such, rapid detection is a time-critical issue. The uncertainty about food safety caused by the possible presence of heavy metals is of concern to consumers and regulatory authorities and this is typically addressed by increasing the testing frequency of food or feed samples. However, existing testing methods are often time-consuming and require highly skilled laboratory personnel to perform the testing. This technology employs spectroscopic imaging methods and machine learning techiniques to rapidly detect heavy metals in food or feed samples. The machine learning model can perform a multi-class differentiation of the various heavy metals based on spectroscopic measurements. It is also able to predict the concentration of heavy metals present in food or feed powders using spectroscopic measurements. Minimal sample preparation is required for this method, allowing for the rapid screening of food or feed powder samples. The technology owner is interested in collaboration with companies working with food powders, with an interest in heavy metal content within food powders.    The features and specifications of this rapid screening technology include: Spectroscopic methods to collect unique spectral measurements from samples based on their chemical compositions Heavy metal classification between cadmium and lead Generation of datasets from spectral measurements to create predictive model to identify heavy metal presence and predict concentration levels Predictive model is trained on spectral measurements for increased accuracy 95% accuracy in heavy metal detection, with trace concentration detection of as low as 4ppm This technology is further customisable to include other classes of heavy metals e.g. mercury, and to include other food types e.g. seafood, meats etc. Detection and measurement of heavy metal species in food/feed powder products such as: Insect powders Animal feeds Milk powders Protein supplement powders Plant-based nutritional supplements Rapid detection of heavy metal species with minimal sample preparation Screening of large amounts of food or feed powder samples within a short period of time Model performance and prediction results are comparable to industry accepted method to measure heavy metal content  Rapid screening, heavy metals, food powders, food safety Infocomm, Video/Image Analysis & Computer Vision, Big Data, Data Analytics, Data Mining & Data Visualisation, Foods, Quality & Safety, Processes

The latest Singapore National Population Health Survey has reported a concerning diabetes trend. From 2019-2020, 9.5% of the adults had diabetes, slightly dropping to 8.5% from 2021-2022. About 1 in 12 (8.5%) of residents aged 18 to 74 were diagnosed, with an age-standardised prevalence of 6.8% after accounting for population ageing. Among the diabetes patients, close to 1 in every 5 (18.8%) had undiagnosed diabetes, and 61.3% did not meet glucose control targets. Prediabetes is also prevalent, with 35% progressing to type 2 diabetes within eight years without lifestyle changes. Untreated Type 2 diabetes can lead to severe health issues. Tackling this challenge requires a holistic approach, focusing on awareness, early diagnosis, and lifestyle adjustments for diabetes and prediabetes. Recognising the need for innovation to address this, the technology owner develops a cost-effective and non-invasive AI-powered solution, Blood Glucose Evaluation And Monitoring (BGEM), that detects glucose dysregulation in individuals to monitor and evaluate diabetic risks. BGEM allows users to track their blood glucose levels regularly, identify any adverse trends and patterns, and adopt early intervention and lifestyle changes to prevent or delay the onset of diabetes. Clinically validated in 2022, with a research paper published in October 2023, the technology is open for licensing to senior care/home care providers, telehealth platforms, health wearables companies, and more. The BGEM technology is an end-to-end managed AI platform that leverages Photoplethysmography (PPG) enabled wearable sensors to monitor various heart rate variability (HRV) features associated with blood glucose fluctuation. The solution comprises the following features: Optimised and validated AI algorithm Mobile Demo App Including UI/UX design guideline User-friendly visualisations SaaS Scalability Security API Integration The BGEM technology offers a cost-effective, non-invasive approach to predicting an individual's diabetes risk. The applications include: Population Health Perspective: The technology leverages the high growth rate of smart wearables and hearables, presenting an opportunity to identify undiagnosed diabetes individuals within the population. Preventive Health Monitoring: With the ability to monitor blood glucose changes regularly at minimal cost, the technology empowers high-risk users to adopt a healthier lifestyle and, therefore, prevent or delay the onset of diabetes. Diabetes around the world in 2021: 537 million adults (20-79 years) are living with diabetes, 1 in 10. This number is predicted to rise to 643 million by 2030 and 783 million by 2045. Over 3 in 4 adults with diabetes live in low- and middle-income countries. Diabetes is responsible for 6.7 million deaths in 2021 - 1 every 5 seconds. Diabetes caused at least USD 966 billion dollars in health expenditure – a 316% increase over the last 15 years. 541 million adults have Impaired Glucose Tolerance (IGT), which places them at high risk of type 2 diabetes. Overview of the wearable technology market: The market is projected to expand at a compound annual growth rate (CAGR) of approximately 12.5% between 2023 to 2030. Estimated to be worth USD 55.5 billion in 2022, with a projected revenue of USD 142.4 billion by 2030. Current blood glucose monitoring technologies either require finger pricking for blood extraction or the insertion of sensors into the skin and discomfort through wearing patches for extended periods. Instead, the technology uses external sensors and algorithms to detect and predict diabetes risk. No object needs to be inserted into the user's body or continuously worn throughout the day, resulting in minimal pain and discomfort. Additionally, the only equipment required for testing is the wearable device. No additional disposable equipment needles or test strips are needed, which makes blood glucose monitoring much more convenient and cost-effective than other "State-of-the-Art" solutions. The Unique Value Proposition of BGEM include: Market-ready: It is a market-ready non-invasive diabetes risk detection and prediction AI solution that leverages consumer-grade wearables to detect blood glucose dysregulation. Performance: Demonstrates outstanding prediction and detection capabilities. Cloud-based: Operates on a cloud-based platform for seamless integration. Third-party compatibility: Easily implemented with third-party devices and apps. Sustainability: Reduction in bio-medical waste such as needles, test strips etc User-friendly: Non-invasive, convenient and allows frequent measurement. Non-invasive measurement, blood glucose, diabetes mellitus, preventive healthcare, AI, ML, Wearables, PPG, Blood Glucose Monitoring, Diabetes Monitoring, Diabetes Evaluation, Non-Invasive Diabetes Monitoring, Diabetic Risk Assessment Infocomm, Artificial Intelligence, Healthcare, Diagnostics