Naked Sundays Golden Glow Body Sunscreen Spf50 100ml Cream
Product Images NDC 81104-500

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Naked Sundays Golden Glow Body Sunscreen Spf50 100ml (NDC 81104-500). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Naked Sundays Pty Ltd, 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

2 (Tube Artwork)

2 (Tube Artwork)
Golden Glow is a body sunscreen with SPF 50 and broad-spectrum protection. It's formulated with green tea extract and claims to be a multi-tasking moisturizer and firming sunscreen. The instructions remind users to apply 20 minutes before sun exposure and to reapply frequently, especially after swimming, sweating or drying. This product contains 3% Avobenzone, 10% Homosolate, 5% Octisalate, and 10% Octocrylene. This product is made in Australia and distributed by Naked Sundays Pty, Ld.*
FDA Label Image

1 (Monocarton)

1 (Monocarton)
This is a description of a sunscreen product containing active ingredients like avobenzone, homosolate, octisalate, and octocrylene. It is meant to be applied before sun exposure to help prevent sunburn and decrease the risk of skin cancer and early skin aging caused by the sun. The product comes with warnings not to use on damaged or broken skin, to keep out of eyes, and to seek medical attention if a rash occurs. It is also advised to reapply the product every 2 hours and to use other sun protection measures like limiting time in the sun, wearing protective clothing, and using high SPF sunscreen. The product should be protected from excessive heat and direct sun. No information available from the random numbers at the end of the text.*

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