Product Images Rinse Free Hand Sanitizing Gel

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Product Label Images

The following 2 images provide visual information about the product associated with Rinse Free Hand Sanitizing Gel NDC 78963-005 by Guangzhou Qianxiancao Cosmetics Co.,ltd., 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.

1 - Label 1

1 - Label 1

The text describes a Rinse Free Hand Sanitizing Gel from LOVERO which helps in reducing bacteria on the skin by killing 99.9% of bacteria. The active ingredient used is Alcohol 75% with a purpose of an antimicrobial agent. The product should be used externally and shouldn't be taken orally. It should be kept away from fire and flame. Children under the age of 6 should be supervised while using the product. The gel should be rubbed on the required area and left to dry without wiping. The product shouldn't be used near eyes, in case of contact, eyes should be rinsed with water thoroughly. The text also contains precautionary warnings for users with allergies and gives information on how to store the product. Some information is repeated in all instances of the text, with slight variations in volume per pack.*

2 - Label 2

2 - Label 2

Rinse Free Hand Sanitizing Gel from LOVERO is a product that kills 99.9% of bacteria using an antimicrobial agent, Alcohol 75%. It helps reduce bacteria on the skin and is not recommended for oral use. The product should be used in caution for people with alcohol allergy and kept out of reach of children. It is flammable and should be stored in a cool, dry place. Inactive ingredients include Aqua, 1.3 Butylene Glycol, Trolamine, and Carbomer. The product is available in various sizes ranging from 1.7Floz/50ml to 17Floz/500ml. Direction for use includes wetting and rubbing where needed to be sanitized with the product thoroughly and allowing it to dry without wiping.*

* 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.