Product Images Lunchboxwax Mineral Broad Spectrum Sunscreen Face Cream Spf30

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Product Label Images

The following 2 images provide visual information about the product associated with Lunchboxwax Mineral Broad Spectrum Sunscreen Face Cream Spf30 NDC 69711-371 by Derma Soleil, 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.

Lunchbox - Lunch box

Lunchbox - Lunch box

This is a description of PROTECT sunscreen with an SPF of 30+. The product comes in a 1.8fl oz/50ml pack containing micronized zinc oxide and titanium dioxide as its active ingredients. The sunscreen helps prevent sunburn and reduces the risk of skin cancer and skin aging caused by the sun. It is recommended to apply the sunscreen 6 minutes before sun exposure and reapply every 2 hours. The product is not to be used on damaged or broken skin, and caution is advised to prevent contact with the eyes, and to keep the product out of reach of children. The sunscreen is manufactured by LunchboxWax LLC and is a product of Canada. Information about product ingredients and customer support is also provided.*

Lunchboxwax Body spf 30 - Lunchboxwas Body SPF 30

Lunchboxwax Body spf 30 - Lunchboxwas Body SPF 30

This is a description of a sunscreen product with SPF 30 for the body, manufactured by Lunchbox. It contains micronized zinc oxide, titanium dioxide, calendula, evening primrose oil, Vitamin C and Vitamin E, and is effective in preventing sunburn and reducing the chances of skin cancer and early skin aging caused by the sun. The user is advised to apply liberally before sun exposure and reapply after swimming, sweating or towel drying. The product should not be used on damaged or broken skin, and should be kept out of reach of children. Inactive ingredients include water, coco-caprylate, dicaprylyl carbonate, green tea extract, and xanthan gum.*

* 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.