Product Images Esco Perfect Hand Cleaner

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Product Label Images

The following 2 images provide visual information about the product associated with Esco Perfect Hand Cleaner NDC 19339-010 by Arca Inc., 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.

Image of carton - 100ea carton

Image of carton - 100ea carton

The text describes a product named Esco Perfect Hand Cleaner, a high-sterilizing component containing 62% of ethanol, an active ingredient that can be used as a sanitizer for the disinfection of hands and skin. The product, manufactured in Korea, is intended for external use only and should be kept out of children's reach. Additionally, it is recommended to avoid eyes and mucous membranes and to consult a physician if any hypersensitivity symptoms occur. The hand cleaner is easy to use and instantly cleans hands without water, and it is packed in small cartridges of 1.5ml x 100ea, representing a total volume of 150ml. The full list of ingredients is available in the text.*

Image of carton - 30ml 20ea carton

Image of carton - 30ml 20ea carton

Esco Perfect Hand Cleaner is a high-sterilizing hand cleaner that contains 62% of ethanol. With 30ml net weight, it can be used for disinfecting hands and skin. The drug facts indicate that it is an antiseptic sanitizer that should not be used around the eyes and ears or on damaged skin. If the user experiences any sensitivity symptoms like rashes, irritation, or edema, they should discontinue use and consult a physician or pharmacist. The inactive ingredients are water, butylene glycol, carbomer, and others. The packaging includes 20 units of 30ml each. It can cause irritation if not used as intended, so the user must take precautionary measures while using it. Manufacturer details are also given on the package.*

* 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.