Dolce And Gabbana Blueberry Nutri Tint Spf 20 39n Deep Emulsion
Product Images NDC 84003-075

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Dolce And Gabbana Blueberry Nutri Tint Spf 20 39n Deep (NDC 84003-075). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Dolce & Gabbana Beauty S.r.l., 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

Inner Package06 (Inner Package06)

Inner Package06 (Inner Package06)
The text appears to be an excerpt from a product label for a skincare item labeled as "DOLCE & GABBANA BLUEBERRY NUTRI-TINT HYDRA-GLOW & FRESH SKIN TINT." It mentions key features like sunscreen with broad-spectrum SPF20 and seems to be a 30ml product for retail sale. *
FDA Label Image

Label (Label 1)

Label (Label 1)
This is a Drug Facts label for a sunscreen product containing Zinc Oxide 6.7%. It helps prevent sunburn and reduces the risk of skin cancer and early skin aging. It provides directions for use, warnings, and information on sun protection measures. The product should be applied generously 15 minutes before sun exposure and reapplied every 2 hours. It is water-resistant and should be kept away from eyes. The label also lists inactive ingredients and contact information for the manufacturer. The product is a non-comedogenic, dermatologically tested skin tint with Italian Blueberry to improve skin tone and radiance. It offers hydration and sun protection with SPF20. The container holds 1.01FL.OZ. (30ml) of product. The item is not for sale as indicated by "TESTER NOT FOR SALE."*
FDA Label Image

Label (Label)

Label (Label)

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