Product Images Bonscent Hand Sanitizer Basic

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Product Label Images

The following 2 images provide visual information about the product associated with Bonscent Hand Sanitizer Basic NDC 73981-010 by Microbiome9 Life Science, 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

This is a 62% alcohol-based hand sanitizer gel that is BONSCENT and KFDA-certified as a sanitary aid. It is capable of killing 99.99% of germs and is recommended for repeated use. The active ingredient is alcohol and it is recommended for external use only. To use, you must apply enough gel to your palm and rub your hands together briskly until it's dry. If irritation develops, you should see a doctor. This product should be kept out of reach of children and not allowed to come into contact with eyes or broken skin, and people under the age of six should be supervised when using the product. The gel contains inactive ingredients such as water, Carbomer, Triethanolamine, Butylene Glycol, Hexylene Glycol, Lavandula Angustifolia (Lavender) Oil, Strawberry Extract, Punica Granatum Fruit Extract. This product may discolor some fabrics; it should not be stored above 105°F and can be harmful to wood finishes and plastics.*

Image of carton - 50ea carton

Image of carton - 50ea carton

This is a description of a hand sanitizer gel manufactured by DONGBANG COSMETICS Co., Ltd. containing 62.0% alcohol and certified by a dermatologist. It is effective in killing 99.99% of germs and is recommended for repeated use. The product should be kept away from fire or flame and should only be used externally on hands. In addition, it contains instructions and precautions for use, including not storing above 105°F, may discolor certain fabrics, and is harmful to wood finishes and plastics. *

* 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.