Bio-SAH™ 372N is a powder polymeric carbodiimide anti-hydrolysis stabilizer for PET industrial yarn. It is used to improve the hydrolysis resistance of PET-based yarn systems exposed to moisture, heat, and long-term service conditions that may accelerate molecular degradation.
PET materials contain ester groups that are vulnerable to hydrolysis, especially under elevated temperature and humidity. In industrial yarn applications, hydrolytic degradation can lead to reduced mechanical strength, lower durability, and premature service failure. By incorporating a suitable hydrolysis stabilizer, manufacturers can improve long-term stability and help maintain yarn performance in demanding environments.
Bio-SAH™ 372N is based on polymeric carbodiimide chemistry, which is widely used to improve hydrolysis resistance in polyester and other hydrolysis-sensitive polymer systems.
This product is positioned for PET industrial yarn systems where durability, tensile property retention, and resistance to moisture-related degradation are important.
Bio-SAH™ 372N helps support the long-term performance of PET yarn products used in high-humidity and elevated-temperature environments.
As a powder-form stabilizer, Bio-SAH™ 372N can be integrated into PET compounding or modification systems according to the actual processing route and dispersion requirements.
PET industrial yarn
PET-based fibers and yarn compounds
Polyester systems requiring improved hydrolysis resistance
Applications exposed to moisture, heat, or long-term service stress
The suitable dosage should be determined according to the PET system, moisture level, end-carboxyl group level, processing conditions, and target hydrolysis resistance. Trial validation is recommended before mass production.
KSTO positions Bio-SAH™ 372N within its anti-hydrolysis agent portfolio for polyester, polyurethane, and other hydrolysis-sensitive materials. If you need support for PET industrial yarn formulation, we recommend confirming the technical data sheet, use level, and processing recommendations based on your specific application.
