Product Images Hand Sanitizer
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Hand Sanitizer NDC 78833-001 by Mb Diversity Llc, 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 is a label for a hand sanitizer that comes in a bottle of 473 mL, with an NDC number of 78833-003-16. The product claims to kill 99.99% of common germs in 15 seconds. The label lists the active ingredient, but it is not clear what the purpose is. There are also warning and direction sections, but they are not easy to read due to errors. Inactive ingredients are listed, along with some additional regulatory information.*
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This is a hand sanitizer labeled to kill 99.99% common germs in 15 seconds. It contains Akahal, fethanal, and glycerine among others, and it is manufactured to ward health organization (WHO) recommendations. The product in this package weighs 236.5mL and is only recommended for persons within the age of 16 and above. It carries warnings on use, including keeping away from eyes, nose, mouth, and children's reach. It is said to be a hand sanitizer for use in reducing bacteria that can potentially cause harm and is not recommended for inhalation or use on open wounds.*
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This appears to be a label for a hand sanitizer product. The product is meant for external use only, and is flammable. It can cause irritation if applied to sensitive skin areas, and should be washed off with water if necessary. It has active ingredients that can kill common germs in 15 seconds, and is available in a 118mL size (NDC: 78833-001-04). The inactive ingredients include purified water. There are no instructions on how to properly use the product, but it is warned to be kept out of reach of children and to not be swallowed.*
* 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.
