Phasil™-sense plus: bio-pha silicone-alternative oil gelator
PHAsil™-Sense Plus is a bio-based PHA copolymer designed to replace silicone elastomers in premium skincare. It forms clear gels at low concentrations, offers a silky feel, and is 100% biodegradable, addressing both performance and sustainability needs.
Overview
PHAsil™-Sense Plus is an innovative bio-based PHA copolymer oil gelator engineered to replace traditional silicone elastomers in high-end anhydrous skincare products. This next-generation material offers a unique combination of performance and sustainability, forming crystal-clear gels at low concentrations (2.5–3.0%) in cosmetic oils. With its 100% bio-based composition, marine biodegradability, and microplastic-free nature, PHAsil™-Sense Plus is an ideal choice for brands committed to sustainable, high-performance skincare solutions.
Technical specifications
Key features:
- Proprietary "three-layer" architecture (3HB/3HV/3HHx) with malic acid branching and dual enzymatic esterification.
- Forms crystal-clear gels (>92% transparency) at 2.5–3.0% concentration.
- Lowered crystallinity (<20%) and glass transition temperature (Tg < 0°C) for a silky, non-greasy slip.
- Natural Origin Index (NOI) of 0.98, ensuring natural formulation compliance.
- Low processing temperature (85–90°C) protects sensitive actives during manufacturing.
Technology readiness level
PHAsil™-Sense Plus is currently at Technology Readiness Level 4, with a validated fermentation platform and ongoing prototyping. Future validation stages include joint evaluation, industrial scaling, and market entry, ensuring the product is ready for commercial deployment soon.
About Consulting-ai
Consulting-ai operates as a consultancy providing customized artificial intelligence solutions designed to transform enterprise operations. The company claims to develop proprietary technology integrated with scientific databases—including TOXNET, PubChem, DrugBank, and MatWeb—to deliver specialized results. Their approach utilizes adaptive deep learning models with specific fine-tuning and federated learning techniques that employ homomorphic encryption to maintain data privacy and regulatory compliance, such as GDPR, HIPAA, and REACH.
These services are aimed at helping organizations across various industries reduce operational costs, optimize processes, and improve the precision of their workflows. By emphasizing the use of proprietary data and tailored implementations, the firm positions its offerings as distinct from generic commercial AI models, intending to provide scalable, high-performance solutions for complex, heterogeneous data environments.
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