Baby Bum Mineral 50 Sunscreen Spray
Product Images NDC 69039-795

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 Baby Bum Mineral 50 Sunscreen (NDC 69039-795). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Sun Bum, Llc, 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

Primary Artwork (Bb Spf50 Roll On R1v3 444104)

Primary Artwork (Bb Spf50 Roll On R1v3 444104)
This is a description for a Baby Bum Mineral SPF 50 Roll-On Lotion. The product provides broad-spectrum protection against harmful sun exposure, is water-resistant for up to 80 minutes, and is cruelty-free and vegan-friendly. The formula includes 3.4% titanium dioxide and 16% zinc oxide. Usage guidelines include applying generously before sun exposure, reapplying after swimming or sweating, and keeping out of reach of children. The product is fragrance-free, non-nano, and hypoallergenic. Made in the USA with globally sourced components.*
FDA Label Image

Primary Artwork (Bb Spf50 Spray R1v1 444105)

Primary Artwork (Bb Spf50 Spray R1v1 444105)
This is a text describing a Baby BumĀ® SPF 50 spray product, providing details such as color callouts, directions for use, warnings about sun protection, and printing specifications. The product is water-resistant for 80 minutes, fragrance-free, and designed for sun protection against early skin aging and skin cancer. It is advised to shake well before use, apply liberally 15 minutes before sun exposure, and reapply every 2 hours. Children under 6 months should consult a doctor before use. The text also includes contact information for GBurn USA Production located in Ontario, California.*

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