Product Images Keep Clean Advanced Hand Sanitizer 2oz

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The following 2 images provide visual information about the product associated with Keep Clean Advanced Hand Sanitizer 2oz NDC 54860-152 by Shenzhen Lantern Scicence 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.

keep clean advanced hand sanitizer - KEEP CLEAN Advanced hand sanitizer 3.4OZ

keep clean advanced hand sanitizer - KEEP CLEAN Advanced hand sanitizer 3.4OZ

This is a description of an alcohol-based hand sanitizer with 75% alcohol content manufactured by Shenzhen Lantern Science Co., Ltd. The product comes in a 3.40Z bottle with a label that has a white, Reflex Blue C, PMS 2925 C, and black color scheme. It is effective in reducing bacteria that potentially cause diseases and is used as a substitute for soap and water. The sanitizer must not be used on open wounds, children under 2 months, eyes, ears, or mouth. It is flammable and should be kept away from heat and flame. The product should be rubbed into the hands until dry, and must not be swallowed by children. The product comes in lot number CNGD192-202003-1 and manufactured in China.*

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a1be9b0a 119a 2f1d e053 2995a90a28c4

This is a description of an Advanced Hand Sanitizer that contains Alcohol 75% v/v and helps reduce bacteria that could cause disease. It is for external use only and should be kept away from heat, flame, and children. It is effective when soap and water are not available. However, it should not be used in children under 2 months of age or on open wounds. In case of contact with eyes, rinse thoroughly with water. The product should be stored between 15-30C (59-86F) and away from freezing and excessive heat above 40C (104F). It is made in China by Shenzhen Lantern Science Co., Ltd. The package has a lot number, production date, and expiration date.*

* 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.