Antibacterial Wipes
Product Images NDC 79084-001

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Antibacterial Wipes (NDC 79084-001). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Gulseli Temizlik Urunleri Sanayi Ve Ticaret Anonim Sirketi, 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

Front (Antibacon)

This is a description for a type of antibacterial wipes that are designed to kill 99.9% of common germs and bacteria. The wipes come with a fresh scent.*

FDA Label Image

Side (Antibacshelf)

This text appears to be a label on a container of antibacterial wipes. The wipes claim to be alcohol-free, BPA-free, paraben-free, bleach-free, dye-free, and cruelty-free. The specified quantity is 60 wipes.*

FDA Label Image

Drug Facts (Drugfacts)

This is a drug facts label for a product containing Benzalkonium chloride 0.2% as an antimicrobial ingredient. The product is used for sanitizing hands but warnings include not using the product in or near the eyes and seeking medical attention if skin irritation or sensitivity is experienced. The label also provides information on the product's inactive ingredients and instructions for use including storing the product below 95°F (35°C). If pregnant or breastfeeding, a health professional should be consulted before use. This label does not include the product's name.*

FDA Label Image

Full Design (Fulldesign)

This appears to be a mix of texts and does not provide a clear description. Some of the text seems to be measurements or labels on a product, while other sections contain information about antibacterial wipes and their usage. Without further context, it is difficult to provide a useful description.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.