Oxygen
Product Images NDC 68852-7777

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 Oxygen (NDC 68852-7777). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Wolf Industries Dba Grace Healthcare, Inc, 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

Grace Oxygen2 Label (Grace O2 Liq2)

Grace Oxygen2  Label (Grace O2 Liq2)
This is a label for a container of refrigerated liquid oxygen, which is a highly flammable and explosive gas under pressure. Handling the contents requires taking precautions to prevent combustion and frostbite. The label contains guidance on safe storage, handling, and use of the product with instructions to follow the Material Safety Data Sheet (MSDS). The product should be used only with proper equipment and by trained personnel for emergency oxygen resuscitation or Rx-only medical applications. Continuous high concentration consumption of oxygen may be harmful without monitoring its effect on the blood. The container should be kept in an upright position and moved with suitable hand equipment, avoiding spills and contact with combustibles.*
FDA Label Image

Hp Label (Wolf Ind Grace Hp O2)

Hp Label (Wolf Ind Grace Hp O2)
This is a description of compressed medical oxygen, identified by its label as USP (United States Pharmacopeia) oxygen which is safe for human use. The label shows the product has a hazardous material classification UN 1072. The manufacturer is identified as Healthcare located in Gulfport, Mississippi, with a phone number provided. Numbers following the manufacturer information refer to different cylinder sizes in liters.*

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