Moisturizer
Product Images NDC 61354-042

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Moisturizer (NDC 61354-042). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Oxygen Development 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.

FDA Label Image

61354-042-03_aw (Art 060 50132 000)

This is a label for a sunscreen lotion with SPF 30 protection. The label includes drug facts, directions, warnings, and information about inactive ingredients. The label is intended for the US market and requires a resolution of 300 for the document raster effects settings. There are also notes to the designer, such as to hold all text 1/8" from cut marks and to bleed full coverage background graphics 1/8" beyond cut marks. The label has a die cut size of 1.300" x 4.900" with a corner radius of .016".*

FDA Label Image

61354-042-02_aw (Art 083 50132 000 Page 1)

This text contains a mix of technical specifications related to product design and packaging. It includes information about a product from H2O+ Beauty which is a mineral sunscreen lotion with SPF 30, specifically created for sensitive skin. It also mentions the ingredients used and their benefits. The text also provides information regarding a CAD file, board, designer, grain direction, View, and other details related to packaging design.*

FDA Label Image

61354-042-01_aw (Art 400 50132 000)

This text is a template for in-mold label artwork for a sunscreen lotion tube. It provides instructions on how to use the product and warnings for external use only. The dimensions, colors, and substrate information are also given for reference. The product is distributed by H20 Plus, LLC in San Francisco.*

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