Product Images Cleansol Antibacterial Wet Wipes

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Product Label Images

The following 2 images provide visual information about the product associated with Cleansol Antibacterial Wet Wipes NDC 84247-002 by Oceanline 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.

cleansol antibacterial wet wipes drug facts - cleansol antibacterial wet wipes drug facts

cleansol antibacterial wet wipes drug facts - cleansol antibacterial wet wipes drug facts

This is a detailed description of a drug product containing benzalkonium chloride 0.13% as an antimicrobial agent. The product is used to decrease bacteria. It comes with warnings to only use externally, avoid contact with eyes, and seek medical help if irritation persists. Directions include steps for usage, disposal, and storage. The product is suitable for children over 2 years old. Additionally, it provides information on the production date, expiration date, and lot number. The inactive ingredients include water, Phenoxyethanol, Peg-7 Glyceryl Cocoate, and various other components for formulation.*

cleansol antibacterial wet wipes 100 wipes lime scent - cleansol antibacterial wet wipes

cleansol antibacterial wet wipes 100 wipes lime scent - cleansol antibacterial wet wipes

This is a description of Antibacterial Wet Wipes that are designed to decrease bacteria on the skin. The wipes contain Benzalkonium Chloride as an active ingredient and are free of alcohol, parabens, dyes, and phthalates. They come in a canister with 100 wipes and have a refreshing lime scent. The wipes are safe for children above 2 years old and should not be flushed but disposed of in a waste basket. The product is distributed by Oceanline LLC and is made in Turkey. Instructions on usage, storage, and precautions are provided on the product label for the user's convenience.*

* 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.