Product Images Broad Spectrum Spf 50 Mineral Sunscreen

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Product Label Images

The following 2 images provide visual information about the product associated with Broad Spectrum Spf 50 Mineral Sunscreen NDC 53675-189 by Aruba Aloe Balm Nv, 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.

Label - Label

Label - Label

The text provides information on sun protection and the usage of a sunscreen product, which contains active ingredients of Titanium Dioxide and Zinc Oxide. The sunscreen helps in preventing sunburn and decreases the risk of skin cancer and early skin aging that might be caused by the sun, if used as directed with other measures of sun protection. The text also contains warnings, directions, and other important information, which includes the use of a broad-spectrum SPF value of 15 or higher sunscreen, limiting time in the sun, wearing protective clothing, and keeping the product away from heat and direct sun. The product is manufactured and distributed by Aruba Aloe Balm Inc. and Aruba Aloe of North America LLC, respectively, and is water-resistant for 80 minutes. Therefore, it's a useful guide for people who are looking for protection from the sun.*

Label2 - Label2

Label2 - Label2

This is a product description for a mineral sunscreen with broad spectrum SPF of 15 or higher. The ingredients include 10% titanium dioxide and 8% zinc oxide, and it is suitable for all skin types. The product provides sun protection, reduces the risk of skin cancer and early skin aging. The sunscreen should be applied 15 minutes before sun exposure and reapplied every two hours or immediately after towel drying, 80 minutes of swimming, or sweating. It is water-resistant and can be used with other sun protection measures. The product is distributed by Aruba Aloe of North America LLC and made in Aruba.*

* 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.