Sunbetter Daily Mineral Protection Broad Spectrum Spf 75 Sunscreen Lotion
Product Images NDC 73291-1000

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Sunbetter Daily Mineral Protection Broad Spectrum Spf 75 Sunscreen (NDC 73291-1000). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Skinbetter Science 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.

Product Images & Figures Index

FDA Label Image

50 mL (50ml)

50 mL (50ml)
This is a text containing information about a sunscreen lotion with broad-spectrum protection, which helps protect the skin from harmful UV rays. It includes instructions on how to apply the sunscreen, how frequently to reapply, and tips on sun protection measures to prevent skin cancer. The text also lists the inactive ingredients used in the lotion and highlights that the product is water-resistant. It mentions that the sunscreen has been dermatologist tested and is suitable for all skin types.*
FDA Label Image

Leaflet (Leaflet)

Leaflet (Leaflet)
This is a description of a sunscreen lotion called Sunbetter Daily Mineral Protection with a Broad Spectrum SPF 75. It is water-resistant for up to 80 minutes. The lotion is formulated with titanium dioxide and zinc oxide as active ingredients and contains a variety of other inactive ingredients like botanical extracts. The product comes with drug facts, directions for use, and safety warnings, including protection measures against sun exposure to reduce the risk of skin cancer and premature aging. The sunscreen should be applied liberally before sun exposure and reapplied as directed. Made in the USA, contact information for questions or comments is provided.*

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