Skin Soothing Mineral Sunscreen Broad Spectrum Spf 40
Product Images NDC 75936-129

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Skin Soothing Mineral Sunscreen Broad Spectrum Spf 40 (NDC 75936-129). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Taylor James, 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.

FDA Label Image

Primary (Primary 2)

This is a description of a skincare product called SUPERGOOP! SPF 40 SKIN SOOTHING MINERAL SUNSCREEN. It provides broad-spectrum UV protection and is enriched with olive oil polyphenols. The mineral based cream calms inflammation and safeguards against premature photoaging of sensitive skin. The sunscreen is lightweight and non-irritating, ideal for sensitive skin. The application of the sunscreen is described in detail. The product is clinically tested, paraben, synthetic fragrance, and oxybenzone-free. The manufacturer is Taylor's LLC, based in San Antonio, USA. The product is cruelty-free and non-comedogenic. Contact information for the manufacturer is included.*

FDA Label Image

Box (Secondary 2)

This is a description of a sunscreen product. The brand is called Supergoop! and it provides broad-spectrum SPF 40 physical UV protection for sensitive skin. It contains olive polyphenols that help calm inflammation and safeguard against photoaging. The sunscreen is mineral-based and includes omega-3 and omega-5 essential fatty acids to provide extra nourishment. It is chemical tested and free of parabens, synthetic fragrance, and oxybenzone. The product is suitable for sensitive skin types and is non-comedogenic. There are directions provided for use, but the rest is unclear due to inconsistent .*

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