Product Images Rinse Free Hand Sanitizing Gel

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Product Label Images

The following 3 images provide visual information about the product associated with Rinse Free Hand Sanitizing Gel NDC 78963-006 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.

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This appears to be a set of product labels for different sizes of a hand sanitizing gel from the brand "Snukia Professional". The gel is fast-drying, rinse-free, and contains Aloe Vera and 75% alcohol to eliminate bacteria and reduce the risk of infections. The labels provide instructions for use, cautionary notes, and information about the active ingredients and size of the bottle.*

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This text refers to Snukia professional rinse-free hand sanitizing gel that contains 75% (V/V) alcohol and Aloe Vera as the active ingredient. It is available in different size options, from 2.7 FLoz/80ml up to 338.2 FLoz/l00000ml, with a character number of (2019)-01-NO. 8004. The purpose of this gel is to help reduce bacteria on the skin and kills 99.9% of bacteria. The instructions are to wet and rub where needed to reduce bacteria on the skin. In case of contact with the eyes, rinse them thoroughly with water, stop using if irritation or rash appears and lasts, and get medical help or contact a Poison Control Center right away if swallowed.*

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The text includes multiple product descriptions for Snukia Professional Quick Drying Hand Sanitizing Gel. It is rinse-free and features 75% (V/V) alcohol and hydrogen peroxide. Snukia also includes Aloe Vera and an antimicrobial agent. The product is intended to kill 99.9% of bacteria. There are various product sizes, ranging from 1.7 fl oz to 1690.9 fl oz. The text also provides usage directions and precautions, including rinsing eyes and seeking medical attention if the product causes irritation.*

* 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.