Product Images Alcohol Wipes

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Alcohol Wipes NDC 79953-160 by Protective Suppliers Llc, 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.

ac379af1 4cd0 4019 e053 2a95a90a9bdf

ac379af1 4cd0 4019 e053 2a95a90a9bdf

These are 75% alcohol wipes that are soft & strong and formulated to be free from harsh chemicals, yet tough on germs. They are perfect for use in stores, offices, schools, restaurants, kitchens, gyms, healthcare or even while traveling. Made in China and containing moisturizing Aloe Vera, these wipes are a great way to clean hands before eating or after contact with germs or sticky foods when soap and water are not available. They come in a canister, with a wipe size of 5.9" x 7.1" (15 x 18cm), and should be used externally only. The wipes come with instructions on the canister, including how to remove them from the container and how to dispose of them properly.*

160 WIPE LABEL - blue 160 cloth

160 WIPE LABEL - blue 160 cloth

These are Premium Soft & Strong 75% Alcohol wipes, which are effective and free of harsh chemicals, fast-acting, and provide moisture due to containing Aloe Vera. These wipes can be used at stores, schools, dorms, offices, restaurants, kitchens, gyms, and in cars or during travel. They are also useful for everyday cleaning and can be used to clean hands before eating or after coming into contact with germs/sticky foods when soap or water are not available. However, they should not be used on cuts or broken skin, around eyes or on children under 2 months of age. They may also cause irritation to sensitive skin. These wipes are sold by Protective Suppliers LLC and can be recycled after use.*

* 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.