Product Images Hand Sanitizer W Travel Clip 1.8 Oz

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Hand Sanitizer W Travel Clip 1.8 Oz NDC 58503-106 by China Ningbo Shangge Cosmetic Technology Corp., 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.

card1 - hand sanitizer 1.8oz (card)

card1 - hand sanitizer 1.8oz (card)

This is a drug facts section for a Hand Sanitizer product that claims to kill 99% of germs. It contains Ethyl Alcohol 70% v/v as the active ingredient, and is recommended for handwashing and repeated use. The hand sanitizer is flammable and should be kept away from heat and flame. The product can cause eye irritation, and contact with eyes should be avoided. The users are advised to stop the use of this product if irritation and redness persist for more than 72 hours. Additionally, users should supervise children under 6 years old. This product should be stored at 20°C to 25°C and may discolor certain fabrics. The product is not manufactured or distributed by Gojo Industries Inc, distributor of the registered trademark Purell®. This product is made in China and distributed by Greenbrier International, Inc. It is not available what other products or services are offered by Greenbrier International, Inc.*

label - hand sanitizer 1.8oz (label)

label - hand sanitizer 1.8oz (label)

This is a label for Purell Hand Sanitizer, which claims to kill 99% of germs instantly. It contains 18 fluid ounces of hand sanitizer and is sold with a drug facts label. The user is advised to keep the sanitizer away from heat and flame. The label has directions for use and mentions the inactive ingredients as well. The manufacturer of the Purell Hand Sanitizer is mentioned at the bottom.*

* 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.