New sustainable Sensil® WaterCare is infused with natural coloring agents during the extrusion stage. That means that resource-intensive fabric or garment dyeing can be completely eliminated from the downstream finishing process resulting in significant water and energy savings.
The traditional textile wet dyeing process relies on resource-intensive technology that requires an extremely high consumption of water. Eliminating this finishing process saves the water, energy, and chemicals required to dye plus the significant energy needed to dry. Also, eliminating the dyeing process reduces water treatment requirements and the risk of pollution to rivers, lakes, and oceans.
Sensil® WaterCare offers a water-conscious, considerate choice to conserve water and energy and create products that are as richly beautiful as they are responsible.
Sensil® WaterCare comes in a wide variety of textured and flat yarns. This special sustainable yarn is currently available in Deep Black and Grey/Brown. Additional colors are in development and custom counts and colors can be created.
Sportswear, Athleisure, Intimates, Socks, Base layer, and Performance fabrics.
Sensil® WaterCare is spun-dyed. The pigment is embedded in the yarn as is it produced eliminating the need to dye the fabric. Fabrics made with Sensil® WaterCare have exquisite color depth and luster that won’t wash out, even at high temperatures. Environmental pigments such as charcoal and coffee bean shells offer sustainable coloration that reflects the natural world.
Sensil® WaterCare premium Nylon addresses some of the apparel industry’s biggest environmental transgressions, specifically the use of water, chemicals, and energy and the pollution associated with dyeing.
Products using Sensil® WaterCare premium Nylon are high quality and durable with incredibly long-lasting colors and are excellent investments for people who want sustainable products that become favorites.
ENERGY AND WATER SAVINGS
By eliminating the wet dyeing process, Sensil® WaterCare premium Nylon immediately and significantly reduces processing costs and resource consumption: