Broad Spectrum Spf 50 Mineral Sunscreen Cream
Product Images NDC 53675-176

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Product Visual Gallery

This gallery contains 1 technical images submitted to the FDA as part of the official labeling for Broad Spectrum Spf 50 Mineral Sunscreen (NDC 53675-176). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Aruba Aloe Balm Nv, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

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FDA Label Image

Label6 (Label6)

Label6 (Label6)
This is a Drug Facts label for a sunscreen product manufactured by Aruba Aloe Balm Irjc. The sunscreen contains active ingredients titanium dioxide and zinc oxide, which help prevent sunburn and decrease the risk of skin cancer and early skin aging caused by the sun. The product should be applied generously 15 minutes before sun exposure and re-applied every 2 hours or after 80 minutes of swimming or sweating. The label includes warnings, directions, and a list of inactive ingredients. The sunscreen is for external use only, and users should keep the product out of their eyes and away from damaged or broken skin. If a rash occurs, individuals should stop using the sunscreen and consult a doctor. The product is mineral-based and water-resistant for 80 minutes of sun protection. It is broad-spectrum, meaning it protects against both UVA and UVB rays. The product should be protected from excessive heat and direct sun. The label advises consumers to limit time in the sun, especially from 10 a.m.-2 p.m. and recommends wearing long-sleeved shirts, pants, hats, and sunglasses. The product is not recommended for children under 6 months of age without consulting a doctor. The label also provides contact information to report a serious adverse event and states that the manufacturer does not test on animals.*

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