Product Images Oxygen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Oxygen NDC 67711-001 by Airserve, Llc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

image of gaseous fill label - img101

image of gaseous fill label - img101

This is a warning label for Oxygen gas that serves as an oxidizer, and contains gas under pressure which can explode if heated. The label cautions against handling the gas without proper understanding of the safety measures for storage and usage, and advises to keep it away from combustible materials. It also instructs to only use equipment that has been oxygen cleaned and rated for cylinder pressure, and to follow specific Material Safety Data Sheet guidelines for use. The label additionally warns against uninterrupted long-term use of high concentrations of oxygen without monitoring its effects on arterial oxygen content, and against using it as a resuscitative equipment for patients who have stopped breathing. The product is manufactured by Air Liquefaction and includes varying liters of contents.*

image of liquid fill label - img102

image of liquid fill label - img102

This is a warning label for Refrigerated Liquid USP Oxygen. The gas is an oxidizer and may cause fire or cryogenic burns. It also notes that combustibles in contact with the liquid could ignite or explode. The label recommends storage and use only in well-ventilated spaces and with appropriate safety precautions. There is also a warning that high concentrations of oxygen without monitoring can be dangerous. The label includes a first aid recommendation in case of skin exposure. The producer is Air Liquefaction, and the label is copyrighted by Applied Home Healthcare Equipment.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.