Mineral Based Spf 50 Sunscreen Stick
Product Images NDC 30142-881

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Mineral Based Spf 50 Sunscreen (NDC 30142-881). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by The Kroger Company, 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

Blister (Blister)

Blister (Blister)
This is a mineral-based sunscreen stick with zinc oxide and titanium dioxide that offers water-resistant protection from UVA and UVB rays. The sunscreen is hypoallergenic and reef-friendly and won't clog pores or contain harsh chemicals like phthalates, parabens, or fragrance. This product is not suitable for damaged or broken skin and must be kept out of eyes. One has to apply it liberally 15 minutes before sun exposure and reapply immediately after towel drying, after 80 minutes of swimming or sweating, and at least every two hours. The stick is designed to keep the skin safe from the sun without leaving any sticky residue. The product is distributed by The Kroger Co. in Cincinnati, Ohio.*
FDA Label Image

Label (Label)

Label (Label)
This is a description of a mineral-based stick sunscreen for kids with an SPF of 50. It weighs 0.47 ounces and comes in white packaging. The drug facts indicate that it protects against harmful UV rays and is not to be applied to broken skin. The directions advise applying it 15 minutes before sun exposure and reapplying every 2 hours. Children under the age of 3 should consult a doctor before use. The product warns against excessive heat and direct sunlight that may cause damage to the product. It is distributed by The Badger Co in Cincinnati, OH.*

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