Product Images Lk New Antiseptic Ethanol

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Product Label Images

The following 2 images provide visual information about the product associated with Lk New Antiseptic Ethanol NDC 74488-011 by Venice Cosmetic, 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.

74488-010 - LK new antiseptic ethanol 83 100ml label draft

74488-010 - LK new antiseptic ethanol 83 100ml label draft

Hi-Tech Bio Hand Sanitizer is an LK new antiseptic ethanol-based product that contains 83% ethanol. It comes in 100ml (3.38 fl.oz) packaging and is intended for use when soap and water are not available. This hand sanitizer is effective in reducing bacteria that can cause disease, and its active ingredient is an antibacterial agent. The product label warns users that it is flammable and should be kept away from heat or flames. The hand sanitizer should not be used in children less than two months of age or on open skin wounds. If the product irritates the skin, a doctor should be consulted. This product should be applied to the hands and rubbed until dry, and children under the age of six should be supervised when using this product to prevent ingestion. The inactive ingredient in this product is water, and it is manufactured by Venice Cosmetic in Incheon, Korea.*

74488-011 - LK new antiseptic ethanol 83 255ml

74488-011 - LK new antiseptic ethanol 83 255ml

Hi-Tech Bio Hand Sanitizer contains Ethanol 83% and comes in a 255ml bottle. It is an antiseptic that helps reduce bacteria when soap and water are not available. The directions for use are to take an appropriate amount and rub your hands together until dry. It is advised to keep out of reach of children, avoid contact with eyes, and to not use on open skin wounds. The product contains water as an inactive ingredient and is manufactured by Venice Cosmetic in Incheon, Korea.*

* 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.