Product Images Antioxidant Mineral Sunscreen Spf30
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Antioxidant Mineral Sunscreen Spf30 NDC 57577-681 by Milbar Laboratories, 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.
Dosage and administration - Wear SPF30 dosage
Inactive ingredients - Wear SPF30 inactive
indications and usage - Wear SPF30 indications and usage
This description is not available.*
Principal Display - Wear SPF30 principal display
This mineral sunscreen offers broad-spectrum UVA/UVB protection with SPF 30. It is water-resistant for up to 80 minutes and is free from parabens and PABA. The active ingredient is Zinc Oxide at 17.5%. Directions for use include applying generously 15 minutes before sun exposure and reapplying every 80 minutes. It is recommended for all skin types and has been dermatologist tested. Sun protection measures are advised while using this product. Other ingredients include water, coconut oil, and various emollients. For further queries, contact the manufacturer at the provided contact details.*
Purpose - Wear SPF30 purpose
This product is a mineral sunscreen that uses physical barriers like zinc oxide to reflect the sun's harmful UV rays. It is paraben and PABA free, dermatologist tested, non-comedogenic, and suitable for all skin types. It is recommended to wear and reapply SPF every 50 minutes.*
Warnings - Wear SPF30 warnings
This is a cautionary warning for a product intended for external use only. It advises users to keep the product away from eyes, rinse with water if contact occurs, and seek medical help if ingested. It also mentions the importance of keeping the product away from children to prevent accidental ingestion.*
* 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.
