Alcohol Disinfectant Wipes
Product Images NDC 41382-005

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Alcohol Disinfectant Wipes (NDC 41382-005). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Jinhua Dubei Maternal & Infant Products 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

60 Pcs Label (60pcs Label)

This is a description of disinfectant wipes that are 290 mm in length. They are made in China, with 75% alcohol and non-woven fabric as the primary and inactive ingredients respectively. The wipes have a sterilization rate of 99.9%, and are intended for external use only. Each pack comes with 60 pieces and can be used for disinfecting various surfaces, including electronics and toys. The wipes are tear-resistant and have antibacterial properties. It is advised to store them in a cool, dry place, and to avoid contact with eyes. The wipes should be discarded after a single use, and kept out of the reach of children. The wipes expire in June 2022.*

FDA Label Image

A67acc8a 7af8 C369 E053 2995a90a6945

This is a description of disinfectant wipes produced in China by ERDIN IRTELR TG TR CETR 1) Piret Step Safety Products. The wipes contain 75% alcohol as active ingredients and non-woven fabric and water as inactive ingredients. They are recommended for external use only and should be discarded after single use. The product is sterilized at a rate of 99.9% and has a shelf life until June 2022. These soft, tear-resistant multi-purpose wipes can be used on hands, electronics, toys, and other surfaces. The sterilization rate and tear-resistant properties make it an ideal choice for hygiene-conscious customers. *

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