Product Images Foundation Sunscreen Face Stick Broad Spectrum Spf 35 Cooly Beige

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Product Label Images

The following 2 images provide visual information about the product associated with Foundation Sunscreen Face Stick Broad Spectrum Spf 35 Cooly Beige NDC 71014-021 by Eai-jr286, Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

cooley beige Fanning face stick SPF 35 update stick - 2020 FANNING SPF 35 ART 4 Stick

cooley beige Fanning face stick SPF 35 update stick - 2020 FANNING SPF 35 ART 4 Stick

The SPF3 Sunscreen Face Stick is a broad-spectrum SPF 35 sunscreen that provides water-resistant protection for up to 80 minutes. It contains 23% Titanium Dioxide as the active ingredient. It warns against using it on damaged or broken skin, keeping it away from the eyes and children. The product should be applied 15 minutes before sun exposure and reapplied every 80 minutes of swimming or sweating. It is not intended for use on children under six months of age. This product is manufactured in Japan by Vertra, EAI-JR286, Inc.*

cooley beige Fanning face stick SPF 35 update - 2020 FANNING SPF 35 ART 4

cooley beige Fanning face stick SPF 35 update - 2020 FANNING SPF 35 ART 4

This is a description of a sunscreen face stick with a broad-spectrum SPF-35 protection from the sun's harmful rays. The product is designed to help prevent sunburn, skin cancer, and early skin aging. It is water-resistant for up to 80 minutes and comes in a cool beige tint to blend smoothly into the skin. It is free from oxybenzone, octinoxate, and parabens and is considered reef-safe. The product is formulated to the highest sunscreen and cosmetic industry standards, and it is distributed by Vertra, EAI-JR286, Inc. The sunscreen stick is 11g net weight, and the package includes instructions for use and a warning not to use it on damaged or broken skin.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.