Flormar Smooth Touch Foundation 10 Sand
Product Images NDC 61722-279

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Flormar Smooth Touch Foundation 10 Sand (NDC 61722-279). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Kosan Kozmetik Sanayi Ve Ticaret A.s., 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

Label10 (Label10)

This is a description of a Foundation Sunscreen with broad spectrum SPF 20 in shade 10 Sand. It has a new smooth texture that creates a flawless definition and dimension with a blend of lotus flower extract and orchid complex that helps to reinforce natural beauty of the skin. The product is dermatologically tested and should be shaken well before use. The product was made in Turkey and it can be reported for a serious adverse event. The active ingredient is Octinoxate 5% and it helps prevent sunburn. The foundation comes with instructions of how to use it and with other relevant information that must be read before use.*

FDA Label Image

Outer10 (Outer10)

Flormar Smooth Touch Foundation SPF 20 is a dermatologically tested product that helps prevent sunburn and reduces the risk of skin cancer and early skin aging caused by the sun. It contains Octinoxate 5% as an active ingredient and a blend of lotus flower extract and orchid complex that reinforces the natural beauty of the skin. The product is easy to apply, and a smooth texture creates flawless definition and dimension. The directions for using the product involve shaking well before use, applying at least every two hours, and using water-resistant sunscreen for swimming or sweating. The product is made in Turkey and distributed by Kosan Kozmetik Sanayi ve Ticaret A.S.*

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