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Nocturia is a common urinary complaint where one experience interruption of sleep with one or more times at night to void. The current assessment of nocturia is primarily clinical and relies mainly on patients documenting their own bladder diary to complete a Frequency-Volume Chart (FVC) of volume and times of urination between a 24-to-72-hour period. This conventional way of assessment is a manual and inadequate way of diagnosing nocturia. An individual is diagnosed with nocturnal polyuria if the total urine output at night exceeds one-third of total daily output. This technology has developed a point-of-care urine osmometer for the monitoring and profiling of day- and night-time variation in urine osmolality, providing clinicians with valuable insights to facilitate more accurate, objective diagnosis and personalized treatment plans for nocturia. This device is portable and attached with a readout sensor, designed to be user friendly. The technology owner is seeking collaborations with: Medical Institutions and Healthcare Providers: To facilitate clinical validation, implementation, and integration of the portable urine osmometer into routine diagnostic practices for nocturia and other related conditions. Device Manufacturers: To miniaturize the prototype, scale up production, ensure quality control, and help bring the device to market. Research Institutes: To collaborate on further R&D , particularly in optimizing the technology and exploring additional applications, such as hydration monitoring for athletes and military personnel. Data Analytics Partners: To develop advanced software and algorithms for precise data interpretation, which can enhance the device’s diagnostic capabilities and provide more personalized treatment options. Current state-of-the-art for urine osmolality measurement uses a freezing point osmometer, which is often bulky, expensive, and requires specialized training to operate. To address these limitations, a portable urine osmometer that uses impedance measurement coupled with refractive index measurement and activated carbon absorption was developed. This innovative approach provides a quick and accurate measurement of urine osmolality. In a clinical trial involving 225 urine samples, an accuracy of 94.4 ± 5.0% was achieved, comparable to the gold standard freezing point osmometer. The device's compact design allows for easy home use, making it ideal for patients with nocturia to monitor their condition without frequent clinic visits. The current pain point in diagnosing and managing nocturia lies in the absence of an objective and quantitative method. Current clinical diagnosis relies heavily on a cumbersome 3-day bladder diary, which is insufficient but also results in inaccuracies and poor patient compliance. Consequently, urologists are left with the challenging task of providing a diagnosis for the underlying cause of nocturia which may lead to a trial-and-error approach on the medications prescribed. This results in suboptimal management of the condition, leading to unresolved patient discomfort and dissatisfaction. The proposed solution aims to revolutionize the approach to diagnosing and treating nocturia by introducing a portable point-of-care device for urine osmolality profiling. The portable urine osmometer is not only useful for diagnosing nocturia but has potential applications in assessing, monitoring hydration status and renal function in various populations, particularly in athletes, elderly, and military personnel. The market potential for portable urine osmometer, particularly in addressing nocturia, is significant. The global market for nocturia-related drugs is projected to grow at a compound annual growth rate (CAGR) of 6.1%, highlighting the increasing demand for effective nocturia management solutions. Given the high prevalence of nocturia, with approximately 1 in 10 people experiencing moderate to severe symptoms, and the current limitations of diagnostic methods, there are substantial opportunities for a portable urine osmometer. This device offers a cost-effective and accessible alternative to the traditional freezing point osmometer. This technology offers a more precise measurement in assisting physicans on the diagnosis for nocturnal polyuria and providing significant improvement to patient protocol. Besides that, the technology enhances several UVP over the conventional methodology which includes: Providing a comprehensive day and night urine osmolality profile in a home setting with an objective and quantitative readout over the current reliance on subjective bladder diaries.  Compared to existing devices in the market, this device has a much smaller footprint than a laboratory based freezing point osmometer. The device is simple to use and enables a cheaper manufacturing cost. It has a short turnaround time with a 3-minutes readout duration.  An affordable consumer device as the consumable per test is a plastic container pre-filled with activated carbon and a disposable urine container.  Urine, Osmolality, Osmometer, Nocturia, Nocturnal Polyuria, Urine Concentration Healthcare, Diagnostics, Medical Devices

Amyotrophic Lateral Sclerosis (ALS) is a neurological disorder that affects motor neurons in the spinal cord and brain which causes progressive degeneration of muscle control. The onset of ALS usually starts between the ages of 40 to 70 and affects approximately two to seven individuals per 100,000 people globally, with an average survival time after diagnosis ranging from two to five years.  ALS is hard to diagnose at an early stage due to similar symptoms with other diseases and no one single test to specifically diagnose ALS.  Several diagnosis methods include electromyogram, nerve conduction study, MRI, blood and urine tests, lumbar puncture, muscle and nerve biopsy. The absence of definitive biomarkers complicates early diagnosis and monitoring of disease progression, while the subtle and variable symptoms often leads to misdiagnosis or delays in care. This research introduces a novel predictive model for ALS that leverages deep learning techniques alongside patient-derived induced pluripotent stem cells (iPSCs). By employing advanced machine learning algorithms, the study analyzes cellular and genetic data from iPSCs to uncover patterns associated with ALS progression. It also incorporates image analysis of motor neurons derived from iPSCs of both ALS patients and healthy individuals, utilizing a convolutional neural network (CNN) model that achieves classification accuracy. This innovative approach aims to deepen the understanding of ALS mechanisms and facilitate early diagnosis and personalized treatment strategies, potentially transforming the management of neurodegenerative diseases. The research institute is seeking for clinical studies partners and pharmaceutical companies for collaboration. Induced Pluripotent Stem Cells (iPSCs): Use of patient-derived iPSCs to study cellular responses related to ALS. Convolutional Neural Network (CNN): Implementation of a CNN model for image classification of motor neurons derived from both ALS patients and healthy controls. Identification of patterns in cellular and genetic data correlated with ALS progression is used to develop a model that can predict disease outcomes. High Classification Accuracy: Achieving a high area under the curve (AUC) of 0.97, indicating effective classification performance. Clinical Relevance: Focus on enhancing early diagnosis and personalized treatment strategies for ALS. Early Diagnosis: It helps in diagnosing diseases like ALS at earlier stages, which is crucial for timely treatment. Personalized Medicine: iPSCs reflect a patient’s unique genetic background, enabling tailored treatments and drug testing. Disease Modeling: The method allows for creating precise disease models to understand progression. Drug Screening: Researchers can test the efficacy of potential treatments on iPSC-derived cells before clinical trials. The global neurodegenerative disease therapy market is valued at around $30 billion to $40 billion and is expected to expand significantly over the coming years, with projected annual growth rate (CAGR) of approximately 6% to 8% through the next decade, driven by increasing prevalence of neurodegenerative disorders, advancements in research and technology, and growing demand for effective treatments. Major segments within the market include therapies for Alzheimer’s disease, Parkinson’s disease, Amyotrophic Lateral Sclerosis (ALS), Huntington’s disease, and Multiple Sclerosis (MS). By using patient-derived iPSCs, the method reflects an individual’s genetic makeup, allowing precise modeling of ALS-affected motor neurons. The integration with a convolutional neural network (CNN) provides high diagnostic accuracy (AUC of 0.97), outperforming human analysis. This approach holds promise for early diagnosis, personalized treatment, and advancing our understanding of neurodegenerative diseases through non-invasive, patient-specific models. Neurodegenerative Diseases, Amyotrophic Lateral Sclerosis (ALS), Induced Pluripotent Stem Cells (iPSCs), Cellular Data, Genetic Analysis, Early Diagnosis, Convolutional Neural Network (CNN), Personalized Treatment Healthcare, Diagnostics, Telehealth, Medical Software & Imaging, Pharmaceuticals & Therapeutics

Phosphine oxide-based photoinitiators, such as TPO and BAPO, are commonly used in biomedical applications due to their effective polymerization properties. TPO is widely used in products like coatings, inks, and adhesives. The industry is seeking safer alternatives with an upcoming ban on TPO effective from September 2025 in Europe due to its reproductive toxicity. Current alternatives focus on either low toxicity or increased water solubility, but there is a significant gap in finding a photoinitiator that combines both. This is important for applications requiring high biocompatibility, such as biomedical devices and tissue engineering. This technology is a new generation of photoinitiators that offers significantly lower toxicity compared to TPO/BAPO, making them ideal for sensitive biomedical applications. Their enhanced water solubility allows them to integrate easily into aqueous systems without harmful solvents, supporting the demand for sustainable products. Water-soluble photoinitiators also improve biocompatibility, reducing the risk of toxicity in applications involving direct contact with biological tissues. Additionally, these photoinitiators are customizable in curing speed, depth, and substrate compatibility, making them suitable for a variety of industries including coatings, adhesives, and advanced 3D printing. The technology owner is seeking IP licensing and R&D collaborators in the biomedical field, including manufacturers of hydrogel-based products like wound healing patches, tissue scaffolds, or bioadhesives along with companies in the materials and personal space looking for safer, sustainable photoinitiator alternatives. Medical institutions that can expand on the in vitro cytotoxicity studies or translate in vitro cytotoxicity results into in vivo animal models are also of interest.  Compatible with organic and aqueous systems: These liquid, carbene-precursor photoinitiators can be incorporated into organic or aqueous systems without the need for additional co-solvents. Customisable properties: Liquid by nature, these photoinitiators can be incorporated into the system to elicit different properties (i.e. curing speed, porosity). Reduction in leachate toxicity: Diazo moieties generated through this irradiation could potentially reduce leachate toxicity by reacting and disabling monomers, contributing to safer and more biocompatible materials. Polymerization of various vinyl monomers: Upon exposure to appropriate wavelengths of light (such as UV or visible light), this photoinitiator generates reactive species that efficiently initiate the polymerization of various vinyl monomers. This property makes it highly suitable for use in a broad range of polymerization processes. Removable through washing: Enhance biocompatibility for sensitive in vivo applications such as resorbable tissue scaffolds. Biomedical systems: Medical devices, drug delivery systems, resorbable tissue scaffold and other biomedical systems. Biomedical 3D printing: Releases gases during irradiation, which allows for shrinkage compensation. Can generate porosity for cell seeding in live cell encapsulation applications. Dental materials: Non-yellowing, great for customisable dental applications. Cosmetics: Nail gels and UV-cured beauty treatments. Other applications sensitive to the leaching of toxic compounds: E.g. food packaging, coating, adhesives and any applications that needs to be compliant to regulations and cannot have harmful substances migrating into food or skin. Current solutions in the market have a trade-off between toxicity and water solubility. These photoinitiators represent a significant advancement by combining the two features. It not only addresses current industry challenges but also opens new possibilities for innovation and application. Low toxicity: Notably reduced toxicity in preliminary in vitro studies. Water-soluble: Compatible with aqueous systems which unlocks market potential in biomedical field. Liquid formulations can be easily incorporated into large-scale industrial processes and manufacturing without the prior need for dissolution in compatible solvents. photoinitiator, hydrogel, diazirine, carbene, non-toxic, biomedical, biomedical 3d print, biomedical 3d printing Materials, Bio Materials, Healthcare, Medical Devices

Tactile indicators and flat tiles are typically made from porcelain-based or traditional concrete materials. Porcelain surfaces tend to be smooth and slippery, posing a safety risk for pedestrians, and they are also brittle, making them prone to damage. Traditional concrete, while more durable, is bulky and heavy, making installation challenging. Bendable concrete tactile indicators offer a solution to the drawbacks of both materials. They are slip-resistant, durable, and lightweight, making them easier to install. It utilizes high-performance fiber-reinforced concrete that is designed using the micro-mechanics guided principles. The design focuses on suitable tailoring of fiber-cementitious matrix interface that enable tensile strain-hardening characteristics similar to metal. Under normal load conditions, bendable concrete exhibits stiffness comparable to traditional concrete. However, when overloaded, instead of fracturing suddenly, it deforms while continuing to bear the load, much like ductile metals that undergo plastic deformation after yielding. This material is exceptionally tough, with a fracture toughness comparable to that of aluminum alloys. The technology owner is seeking potential partnerships for IP licensing. Potential partners include tile manufacturers and companies in related industries. Compressive strength: Around 50 MPa Flexural strength: 10-15 MPa, three to five times of traditional concrete  Tensile strain capacity: Greater than 3%, several hundred times that of traditional concrete Improved skid resistance: Greater than 50 BPN Reduced tile thickness: Smaller than 12 mm compared to traditional concrete material at 40-60 mm Potential applications include but not limited to tactile indicators and flat tiles for outdoor applications where high skid resistance, durability, and lightweight are of importance. In Singapore, approximately 100,000 m² of tactile indicators are installed at conflict zones in major road junctions. These indicators are also widely used in similar zones at service road junctions within HDB estates, industrial parks, universities, schools, hospitals, train stations, and other public buildings. Additionally, an estimated 39,000 m² of tiles will be required for an upcoming footpath rejuvenation project, where flat tiles will be used to repave footpaths in areas across Singapore, including the Central Business District. Surface skid resistant: Provides more friction while walking, hence better footing compared to porcelain-based tactile indicators. Durable: Less prone to crack, chips or wear and tear compared to porcelain-based solutions, allowing for the creation of thin tactile indicators without the need for steel reinforcement. bendable concrete, strain hardening cementitious composites, cement, tactile indicator, tile Materials, Composites

The technology owner has developed a digital identity and networking solution in a form of a digital platform. This identification and authentication platform enables the creation, management and storage of digital and physical business cards and information in a centralized convenient location. The solution allows different methods of information exchange and storage, such as NFC, QR code, OCR or manual entry. The platform also provides a portfolio storage and service marketplace to enhance modern professional interactions and activities. The digital platform solution has the following functionalities: Scanning and consolidation of both physical and digital business cards/information via QR Code, OCR, NFC and manual entry Creation of customizable digital business cards and information for professional services Service marketplace to enhance professional services such as appoint schedule and digital chat Incorporates proprietary machine learning (ML) algorithm for data management and optimization HR management system for customer relationship management (CRM) Portfolio storage for easy creation, viewing and management of digital information Enables the utilization of API for data integration, digital verification systems The technology solution can be used for seamless digital networking services, corporate HR and CRM management, event engagement and management, organizational verification and digital identity management. The technology solution enables the ease of digitalization, storage and management of digital contact exchanges via multiple methods which are optimized by its proprietary ML algorithm. The platform provides CRM and identity verification capabilities, improving organizational efficiency. Lastly, the portfolio storage and service marketplace helps to value-add to any professional interaction and networking activities. Identification, Authentification, Service Marketplace, Digital Identity Infocomm, Social Media, Collaboration & Crowdsourcing

Conventional semiconductor lasers, such as distributed feedback (DFB) lasers, can achieve narrow linewidths but are limited in power output. On the other hand, high-power lasers tend to suffer from broad linewidths due to multimode operation and thermal effects. Narrow-linewidth lasers often rely on external optical feedback systems to reduce frequency range to the kHz or sub-kHz range to increase its precision. While effective, these systems add complexity and cost, requiring precise optical alignment. When the cavity size of conventional semiconductor lasers is increased, multimode lasing typically occurs, which broadens the frequency range and lowers precision as the power output rises. As a result, high-power, narrow frequency range lasers face challenges in scalability due to issues like thermal effects, multimode operation, or the reliance on external stabilization systems. The technology owner have developed a photonic-crystal surface-emitting lasers (PCSELs) for optical systems that provides high power output (up to 10W) with narrow intrinsic linewidths (~1 kHz), a performance that conventional semiconductor lasers cannot achieve without external stabilization systems. This technology solution intrinsically able to achieve kHz-class linewidth without the need for external feedback systems, simplifying the design and eliminating the need for complex setups. The photonic crystal design enables single-mode lasing over a large lasing area (1mm in diameter) without compromising on beam quality or frequency spread. This allows PCSELs to be used in high power and high precision applications, such as free-space optical communication and spaceborne LiDAR systems. The technology owner has demonstrated that by scaling up the lasing area, even higher power and narrower linewidths (<1 kHz) could potentially be achieved. The technology owner is seeking collaboration opportunities with industrial partners looking to explore this next generation optical system for laser and communication applications. The technology solution comprising of the photonic-crystal surface-emitting lasers (PCSELs) for next generation optical system features the following: Double-lattice photonic crystal design to enable single-mode lasing over a large area, reducing optical losses and ensuring high photon density in the lasing mode. Crystal structure includes distributed Bragg reflectors (DBRs), which enhances vertical emission by reflecting downward-emitted light back upward. Enables large-area single-mode lasing (1mm in diameter) which is larger than conventional semiconductor lasers while maintaining single-mode operation. Have a narrow intrinsic spectral linewidth (1 kHz) without external feedback systems, ideal for applications requiring stable, narrow-linewidth light sources Reduces thermal non-uniformity via a current density adjustment, preventing linewidth broadening due to temperature-induced refractive index changes High-power delivery (up to 10W) of continuous-wave (CW) output while maintaining a narrow linewidth, a significant advancement over conventional lasers which typically sacrifice linewidth for higher power Due to the high brightness, high power, and narrow linewidth of any optical systems utilising PCSELs, it can be used for the following applications: Industrial machinery utilising lasers (e.g. machining) Material treatment utilising lasers for surface modification (e.g. semiconductor equipment) Long-distance free-space optical communications Light detection and ranging applications with potential spaceborne use-case (e.g. LiDAR) PCSELs tackles the challenges faced by existing conventional semiconductor lasers by introducing a double-lattice photonic crystal design with distributed Bragg reflectors (DBRs) to deliver a high power and high precision without external feedback via its intrinsic narrow linewidth. This technology solution enables potential scalability with its large-area single-mode lasing capabilities with its innovative thermal management. Narrow linewidth Lasers, High-Power Lasers, Lasers, Semiconductor, Optical Sensing, LiDAR, Spaceborne LiDAR, Optical System Electronics, Semiconductors, Lasers, Optics & Photonics

This invention addresses a significant challenge in the field of plastic resin identification and sorting, a critical issue in material recovery facilities (MRFs) and industrial plastic sorting. Traditional methods of sorting plastic resins are often inefficient and prone to errors, leading to contamination and reduced quality of recycled materials. This technology introduces a novel AI training method specifically designed for plastic resin classification using near-infrared (NIR) spectroscopy. The approach leverages self-supervised learning and masked signal modeling (MSM) to enhance the accuracy and robustness of deep learning models in identifying various plastic resins, based on their spectral signature data. One of the unique aspects of this technology is its integration with a rotary sorting system, which significantly improves the speed and precision of sorting operations in MRFs. By automating the resin identification process with accuracy of up to 95% and reducing reliance on manual sorting, this technology helps facilities achieve higher purity in recycled materials, addressing a critical need in the recycling industry. The technology owner is seeking to collaborate with industry partners operating MRFs and uses a rotary sorting system to integrate and perform test-bedding of the technology. High Accuracy: The AI model achieves over 95% accuracy in plastic resin classification, leveraging near-infrared (NIR) spectroscopy combined with deep learning techniques. Modular and Scalable Design: The system's modular, stackable design allows easy integration into existing facilities and scalable expansion, from small local MRFs to large industrial plastic sorting plants. It can be combined with robotic arms or human-operated stations, offering a flexible, customised solution that adapts to specific operational needs. Real-Time, High-Speed Sorting: The integration of a rotary sorting system enables real-time processing, handling up to 2 plastic samples in 1 second. This speed and efficiency surpasses traditional conveyor-based systems, making it ideal for large-scale operations. Energy Efficiency and Cost Reduction: This rotary system is energy-efficient, reducing operational costs by up to 30% compared to conventional methods. Its low maintenance requirements further minimise downtime, making it a cost-effective long-term solution. Sustainability Impact: By improving sorting accuracy and efficiency, the technology supports sustainable recycling practices and reduces the environmental footprint of plastic waste management.   Waste management and recycling Manufacturing and production Environmental and sustainability applications It is estimated that by 2025, the global market for machine vision technologies to improve material sorting process will reach a value of US$1.5 billion, with a compound annual growth rate (CAGR) of 25% between 2020 and 2025 – Picvisa. Utilising advanced AI models trained with near-infrared (NIR) spectroscopy and incorporating self-supervised learning with masked signal modeling (MSM), this technology achieves over 95% accuracy in resin classification. This precision surpasses existing methods, reducing contamination and improving the purity of recycled materials. AI-based plastic sorting, Industrial plastic recycling Waste Management & Recycling, Industrial Waste Management, Sustainability, Circular Economy

Access to clean and safe drinking water is a critical issue in many parts of Asia, particularly in rural and less accessible regions. A large portion of the population relies on surface or groundwater for daily consumption, yet as many as 240 million people are exposed to water that exceeds World Health Organization (WHO) safety limits. The increasing contamination of water sources due to anthropogenic activities such as industrial pollution, agricultural runoff, and inadequate sanitation has made water treatment essential. However, most portable water treatment systems currently available lack a vital feature: real-time monitoring of the treated water’s quality. This leaves consumers uncertain about whether the water they are drinking is truly safe, especially in unpredictable environments where water quality can fluctuate.  This technology combines IoT technology with water monitoring, offering real-time monitoring and feedback on water quality. This portable system allows users to remotely control and manage the treatment process, ensuring operational efficiency even in rural areas. With water-saving features and a low-maintenance design, it provides a sustainable and reliable solution for safe drinking water in remote and resource-limited regions.  The technology owner seeks collaboration with end users like rural communities, humanitarian organizations, and government agencies focused on water quality. They are also looking for test-bedding partners such as environmental research institutions and NGOs, and solution providers like manufacturers and IoT developers interested in sustainable water treatment and international expansion.  Portability: Compact design, easy to transport and deploy in remote locations. Remote Control: Fully controllable via mobile phone, allowing users to manage water treatment operations remotely.  Real-Time Monitoring: Continuous water quality measurement with real-time data accessible through a mobile app.  Innovative Cleaning System: Advanced cleaning mechanism reduces maintenance and extends operational life.  Modular & Scalable Design: Customizable system modules that can be scaled up or down based on user requirements and water demand.  Off-Grid Applications: Ideal for remote areas without access to conventional water treatment infrastructure.  River/Surface/Groundwater Treatment: Suitable for monitoring treated water from various water sources such as rivers, lakes, and wells.  Rainwater Harvesting: Enhances the usability of harvested rainwater by ensuring its quality through data monitoring.  Consumer Market: Designed for rugged or rural terrains, catering to campers, adventurers, and outdoor enthusiasts.  Military and Outdoor Activities: Useful for army camps and field operations, providing data for safe drinking water in challenging environments. Agriculture Irrigation: Adaptable for small-scale agricultural use to provide purified water for crops irrigation or livestocks.  Real-Time Water Quality Monitoring: Provides continuous feedback on treated water quality, ensuring consumer confidence and safety.  IoT-Enabled Remote Control: Users can remotely control and monitor the system via mobile devices, offering convenience and flexibility.  Water-Saving Backwash Feature: Optimized design reduces water wastage during backwash, promoting sustainability and efficient water use.  Predictive Maintenance Alerts: Integrated system alerts users for timely maintenance, reducing downtime and ensuring consistent operation.  Maintenance Alerts: Integrated system alerts users for timely maintenance, reducing downtime and ensuring consistent operation.  Enhanced Consumer Confidence: The system's real-time monitoring and remote-control features offer greater peace of mind compared to conventional water filtration systems (lacking a monitoring system).  Real-Time Data Acquisition: For monitoring and prediction of water consumption patterns and filter performance.  portable water treatment, water treatment, pollution detection, water, detection, iot, water quality Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems, Sustainability, Sustainable Living

In the preparation of traditional Asian dishes such as soups, curries, and noodles, achieving the perfect balance of saltiness is crucial for flavor consistency. However, many chefs, food manufacturers, and home cooks rely on subjective taste assessments, which can lead to inconsistent results. This becomes particularly challenging when scaling up for mass production or when catering to individuals with specific dietary needs. Current salinity testing methods are often cumbersome, require lab equipment, or are not tailored for quick, accurate, and portable use in kitchen environments, making it difficult to ensure the precise salt levels necessary for quality control. The technology provides a quick, accurate solution for measuring salinity in liquid foods like soups, curries, and noodles, ensuring consistent flavor balance. Its portable design and easy calibration with saline solution make it convenient for chefs, food manufacturers, and home cooks alike. The device displays precise salinity levels and uses intuitive facial icons for easy interpretation. By eliminating guesswork, the technology helps maintain flavor consistency, improves efficiency, and meets dietary requirements with precision. The technology owner is seeking partners in healthcare, catering, and food manufacturing for licensing and IP acquisition of the technology. Salinity Range: Measures salinity levels from 0.01% to 2.00% (g/100ml), providing precise readings for liquid foods such as soups, curries, and noodles. Display: Digital readout shows salinity in percentage, with an additional visual aid using three facial icons to indicate different levels of salinity. Calibration: Can be easily calibrated using standard saline solution for wound cleaning, ensuring accurate and reliable performance. Portability: Compact, lightweight design for easy handling and transport, making it ideal for use in kitchens, catering services, and food production facilities. User-Friendly: Intuitive interface designed for quick, on-the-go salinity checks, suitable for professional chefs, food manufacturers, and healthcare applications. Food & Beverage: Ensuring flavor consistency in liquid foods for restaurants and manufacturers and salinity control in mass food production and catering Healthcare & Nutrition: Monitoring sodium intake for dietary restrictions Product Innovation: Precision meters for commercial kitchens and home use.   Precision: Provides accurate salinity measurements (0.01% to 2.00%) for liquid foods. Portability: Compact and lightweight for easy use in kitchens, catering, and home environments. Ease of Use: Features a digital display and intuitive facial icons for quick interpretation. Calibration Flexibility: Easily calibrated with standard saline solutions for reliable performance. Versatile Applications: Suitable for food manufacturers, chefs, healthcare providers, and home cooks. Consistency & Quality: Ensures flavor consistency and supports dietary sodium control. Salinity meter, sodium intake control, calibrated, sodium, detector, portable Chemicals, Analysis, Foods, Ingredients, Quality & Safety