High throughput and high content screening for formulation stabilization
Keon Research presents a novel formulation stabilization strategy utilizing high throughput and high content screening. This approach leverages accelerated testing and ingredient characterization to optimize formulations for commercial applications, enhancing color stability and organoleptic properties with the aid of machine learning models.
Overview
Keon Research has developed an innovative stabilization formulation strategy that combines high throughput and high content screening to address formulation challenges. This strategy enables the rapid and comprehensive evaluation of ingredients and formulations, focusing on attributes such as color gamut, stability, and organoleptic properties. By employing proprietary machine learning models, the system efficiently processes large data sets to extract actionable insights, facilitating the development of commercially viable solutions.
Technical specifications
Key features:
- Accelerated testing combined with detailed ingredient characterization
- High throughput screening for rapid evaluation of multiple formulations
- High content analysis for detailed assessment of formulation attributes
- Proprietary machine learning models for data management and insight generation
- Capability to optimize formulations for color stability and sensory properties
Technology readiness level
Currently at Technology Readiness Level 3, this strategy has been validated through reformulation projects with nearly 100 SKUs using natural colorants. The approach is ready for further development and optimization through client-specific validation projects and benchmarking against known standards.
About Keon Research
Keon Research is an innovation consultancy that specializes in helping clients identify and develop new technology solutions. The company integrates market analytics, intellectual property strategy, and technical research to uncover innovation opportunities. Their internal process includes ideation, rigorous evaluation, and rapid prototyping in an in-house lab. This approach allows them to deliver well-defined solutions, including proof-of-principle data packages, product development roadmaps, and commercialization strategies.
The firm serves clients by solving complex formulation and research challenges, such as their work in formulation stabilization using high-throughput screening and machine learning models for the food and sensory science industries. By bridging the gap between initial concepts and commercial readiness, Keon Research supports partners in mitigating risk and optimizing functionality before moving to full-scale product development. Their work has been applied to various projects, including the stabilization of natural colorants across numerous stock-keeping units.
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