Product Images Oxygen Refrigerated Liquid U.s.p

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Product Label Images

The following 2 images provide visual information about the product associated with Oxygen Refrigerated Liquid U.s.p NDC 51319-073 by Apria Healthcare 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.

Label, 1072Oxygen, Compressed - oxygen 01

Label, 1072Oxygen, Compressed - oxygen 01

This is a warning label for a compressed oxygen product produced by Air Liquefaction, suitable for emergency use by trained personnel for oxygen deficiency and resuscitation. It is not for use on patients who have stopped breathing unless in conjunction with resuscitation equipment. High concentrations of oxygen over a long duration, without monitoring its effect on oxygen content of blood may be harmful. The label indicates that the product should not be handled until all safety precautions have been read and understood and should be stored away from combustible materials, grease, and oil, and valves and fittings should be kept clean. The product is an oxidizer and may cause or intensify fire, as well as contain gas under pressure, which may explode if heated. The valve should be opened and closed slowly and should be protected from sunlight when the ambient temperature exceeds 52°C (125°F). A Safety Data Sheet (SDS) is attached, which provides further instructions.*

Principal Display PanelOXYGEN,REFRIGERATED LIQUIDUSPUN1073PRODUCED BY AIR LIQUEFACTIONRx Only. - oxygen 02

Principal Display PanelOXYGEN,REFRIGERATED LIQUIDUSPUN1073PRODUCED BY AIR LIQUEFACTIONRx Only. - oxygen 02

This is a description for medical-grade refrigerated liquid oxygen with the production method of air liquefaction. The container can hold a certain amount of liquid oxygen and is restricted for prescription use only. The manufacturer is Apria Healthcare based in Lake Forest, CA.*

* 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.