No7 Radiant Glow Foundation Sunscreen Spf 15 Cocoa
Product Images NDC 68472-098

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for No7 Radiant Glow Foundation Sunscreen Spf 15 Cocoa (NDC 68472-098). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Boots Retail Usa 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

Radiant Glow Fdn Bottle Labels (Radiant Glow Fdn Bottle Labels)

Radiant Glow Fdn Bottle Labels (Radiant Glow Fdn Bottle Labels)
This is a description of a Radiant Glow Foundation with sunscreen SPF 15. The foundation is hypoallergenic, light reflecting, and moisturizing. It's made of active ingredients like Octinoxate (5%) and Titanium Dioxide (1.6%) that provide a natural, luminous finish. The foundation is packaged in 30ml with a cap of 28mm and dimensions of 58mm x 26mm x 14mm. It is non-pore-blocking and can be applied evenly with fingers or sponge. The product was made in France for BBI Ltd NG2 3AA, UK, and distributed in the USA by Boots Retail USA Inc. If you have questions, you can contact the company on the 1-866-75-BO0TS number.*
FDA Label Image

Radiant Glow Fdn Carton (Radiant Glow Fdn Carton)

Radiant Glow Fdn Carton (Radiant Glow Fdn Carton)
Radiant Glow Lustre Rayonnant Foundation is a moisturizing foundation that provides minimal protection against adverse effects of the sun. With sunscreen SPF 15, this hypoallergenic foundation gives a natural, luminous finish without clogging pores. It is ideal for people above the age of 12 and can be reapplied as needed. The fragrance-free and easy-to-blend formula is perfect for normal skin types.*

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