Hand Sanitizer
Product Images NDC 74440-007

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Hand Sanitizer (NDC 74440-007). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Jiangxi Iris Chemical 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 mL Label (Label 1)

60 mL Label (Label 1)
The text provides information about a 60ml hand sanitizer that contains 75% alcohol and is designed to decrease bacteria on the skin that could cause disease. It can be used anywhere and anytime including camping, picnics, or nappy change. It comes with warnings, including keeping it away from heat and flames, not using it on children under two months of age or on open skin wounds. In case of irritation or rash, consult a doctor as these may be signs of a serious condition. The product should be placed enough on hands to cover all surfaces and rubbed until dry, and children under 6 years old should be supervised to avoid swallowing. The inactive ingredients include water, carbomer, and triethanolamine. It is supplied by Jiangxi Iris chemical co., a company based in China, and distributed by Aromart International Inc. located in Diamond Bar, CA. The packaging contains Text in English and is labeled as "INSTANT HAND SANITIZER."*
FDA Label Image

500 mL Label (Label 2)

500 mL Label (Label 2)
The text describes a hand sanitizer with the product code TR20Y0249 and the brand name "s00m!". The size of the product is 236x82mm. It is an instant hand sanitizer with 75% alcohol content and can kill 99.99% of germs. The product comes in a size of 500 ml or 19.6 1.0z.*

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