Oxygen
Product Images NDC 65864-001

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 65864-001). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Rcs Management Corporation, 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

Lot Sticker (Lotsticker)

Lot Sticker (Lotsticker)
This appears to be a label on a container of liquid, possibly fuel or oil. The capacity of the container is 297,300 liters and it has an expiration date of May 14th, 2011. It is unclear what the "FN-RG3" refers to.*
FDA Label Image

Lox Label (Loxlabel)

Lox Label (Loxlabel)
This is a warning label for a container containing a high-pressure, oxidizing liquid and gas. The contents can cause severe frostbite, explode on ignition, or impact, and vigorously accelerates any oxygen combustion. The container should always be kept in an upright position, away from grease and combustibles, and used only with equipment cleaned for oxygen service. Adequate ventilation is necessary and liquid should never come into contact with the skin or clothing. To avoid spills, hand trucks should be used for container movement, and valve closed after use. In case of frostbite, medical treatment is required immediately. The container is to be refilled only by establishments registered as a drug producer according to Federal Food, Drug, and Cosmetic Act. The label contains a warning to keep out of reach of children and to avoid storing near heat or open flame. Finally, the label provides the company's address and phone number and warns against the removal of the label.*

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