Rodial Broad Spectrum Spf 50 Drops Anti-blue Light And Pollution Lotion
Product Images NDC 52456-022

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Rodial Broad Spectrum Spf 50 Drops Anti-blue Light And Pollution (NDC 52456-022). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Rodial 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

Bottle (Bottle)

Bottle (Bottle)
This is a Drug Facts description with active and inactive ingredients and directions of use for a sunscreen with SPF 50 to prevent sunburn, skin cancer, and early skin aging. The sunscreen also has pollution defense features with butterfly bush, hyaluronic acid, and vitamin E to hydrate and soothe skin. The sunscreen is manufactured in the UK by Rodial. If using this product, it's imperative to follow the directions listed, including having protection measures, keeping it out of the reach of children, and not using it on damaged or broken skin.*
FDA Label Image

Carton (Carton)

Carton (Carton)
SPF 50 Drops is an anti-blue light and pollution protection serum for the skin, formulated to shield it against environmental effects with the use of blue light filter technology. It also contains Butterfly Bush, known to soothe the skin, and Hyaluronic Acid and Niacinamide, which are used as conditioning agents. To use, generously apply to the face and neck each morning after cleansing. Avoid contact with the eyes and patch test before use. It is advisable to limit sun exposure even when using this product. The product contains Benzophenone-3. Produced in the UK for Rodial.*

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