Coola Classic Body Sunscreen Guava Mango
Product Images NDC 21839-450

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Coola Classic Body Sunscreen Guava Mango (NDC 21839-450). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Gordon Laboratories, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Classic Body Sunscreen Guava Mango Tube 148 mL (Classic Body Sunscreen Guava Mango Tube 148 mL)

This is a description of an organic COOLA Classic Body Sunscrean Lotion SPF 50 designed for use every day, with broad-spectrum coverage, water resistance, and added plant protection that includes natural oils to hydrate and nourish the skin. The formula is fortified to protect the skin while remaining light and sheer. The lotion includes Avobenzone 1.75%, Homosalate 5.0%, Octisalate 2.0%, Octocrylene 5.0% as active ingredients. The product is made in the USA using thoughtfully sourced global ingredients.*

FDA Label Image

Classic Body Sunscreen Guava Mango Carton 148 mL (Classic Body Sunscreen Guava Mango Carton 148 mL)

This product is a sunscreen lotion that decreases the risk of skin cancer and early skin aging caused by the sun by utilizing plant-based ingredients such as Buriti oil, Meadowfoam Seed Oil, Raspberny Seed Oil, and Prickly Pear extract. It has a sun protection factor (SPF) of 50 with water-resistant properties that lasts up to 80 minutes. The product is to be applied generously 15 minutes before sun exposure and should be reapplied every two hours. It also includes warnings not to use on damaged skin, keep away from the eyes and to limit stay in the sun especially from 10 am to 2 pm. There is a contact number available for questions or concerns.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.