Blockout Foot Wipes
Product Images NDC 51362-1677

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 Blockout Foot Wipes (NDC 51362-1677). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Ideas Born To Succeed, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Principal Display Panel – Packet Label (Blo00 0001 01)

Principal Display Panel – Packet Label (Blo00 0001 01)
This is a drug facts label for an antifungal foot mat. It contains 6% Arumicoial and is designed to prevent bacterial growth on feet. The mat is flammable and is for external use only. Directions include standing on the mat while drying and using your fingers to clean between toes. The product is designed for high-bacteria areas and is scientifically designed. Children under 6 should be supervised while using it. The mat is disposable and kills germs. Additional information can be found at the website www.blockoutstore.com.*
FDA Label Image

Principal Display Panel – Carton Label (Blo00 0001 02)

Principal Display Panel – Carton Label (Blo00 0001 02)
This appears to be a description for a disposable mat designed for use in high-bacteria areas. It contains an antimicrobial and antifungal formula and is 157x20 inches in size. The mat is designed to kill 99.9% of germs and features an active ingredient of alcohol 6%. Directions recommend placing the mat on a surface and standing on it while cleansing, with corners covering toes and fingers being used to clean between toes. The mat can discolor certain fabrics or surfaces and should be stored below 110°F (43°C). Made in China, distributed by IBTS LLC.*

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