Blue Unity Alcohol Wipes
Product Images NDC 78122-940

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Blue Unity Alcohol Wipes (NDC 78122-940). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Wenzhou Guanshang Paper 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.

Product Images & Figures Index

FDA Label Image

Image Description (Carton)

Image Description (Carton)
Blue Unity Alcohol Wipes are antiseptic wipes that contain 75% Ethyl Alcohol, which helps reduce bacteria that cause diseases. These wipes kill 99.99% of viruses and bacteria and come with directions to wipe the skin until dry. It is important to keep away from open skin wounds and avoid contact with eyes, ears, and mouth. If irritation or rash occurs, one should stop use and consult a doctor. The product is flammable; keep away from heat and flames. These wipes are distributed by RIXI Group USA Inc and manufactured by Wenzhou Guanshang Paper Co., Ltd in China. NDC Number 78122-940-10.*
FDA Label Image

Carton1

Carton1
This product is alcohol wet wipes that come in a pack of 50 pieces, produced by Wenzhou Guanshang Paper Co., Ltd in China. The wipes are made of 75% alcohol, non-woven fabric, and pure water. They are suitable for wiping hands, face, and skin, etc. The wipes kill intestinal carcinogenic bacteria, laboratory cocci, pathogenic yeast, and common bacteria of hospital infection. The product features sterilization and is meant for sanitation, cleaning, protection, and disinfection of families’ health. The wipes meet the hygienic Standard GB15979 and the Executive Standard GB/T27728. Inactive ingredients include CETYLPYRIDINIUM CHLORIDE and water.*

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