Antibacterial Wet Wipes
Product Images NDC 42255-587

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Antibacterial Wet Wipes (NDC 42255-587). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Zhejiang Greenface Housewares Co., Ltd., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

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FDA Label Image

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This appears to be a list of dimensions and descriptions for various items, including wipes in different sizes and packaging. There is also mention of the wipes being antibacterial and refreshing, with a formula that includes aloe vera and chamomile. However, without more context it is difficult to provide a more detailed description or determine the specific use of these items.*
FDA Label Image

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Fengen is an antibacterial solution that contains Bongalkonium chlorde 0.1% that aims to decrease bacteria found in the skin. It comes in a liquid form and is intended for external use only. Be cautious when using it, especially in large areas of the body, and rinse thoroughly if it comes into contact with your eyes. If skin irritation or a rash develops and lasts for more than 72 hours, stop using it right away and consult a doctor. It is not advisable to ingest this product and should be kept out of reach of children. For adults and children over 2 years, it can be used to clean and refresh hands and face, while children under two should seek a doctor's advice before use. It contains water, propylene glycol, cocamidopropyl betaine, and many other inactive ingredients. The manufacturer of this product is Greenbrier International, Inc., and it is made in China.*
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* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.