Product Images Oxygen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Oxygen NDC 53828-001 by Rochester Welding Supply Corp., 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.

BODY LABEL - rws hp body ox

BODY LABEL - rws hp body ox

This is a label for a cylinder containing compressed oxygen at high pressure. The cylinder has a pressure gauge calibrated in PSIG and instructions to use equipment designed for oxygen safety. It has a warning of the risk of combustion and the need for good ventilation. It also indicates the cylinder’s contents, weight, and size. The label contains warnings prohibiting its use other than in specific medical applications and must be refilled by authorized facilities only.*

SHOULDER LABEL - rws hp sl ox

SHOULDER LABEL - rws hp sl ox

LIQUID LABEL - rws lliq ox

LIQUID LABEL - rws lliq ox

Rochester Welding Supply Corp. located at 510 State Street, Rochester, NY 14508 provides refrigerated liquid oxygen with gross weight and net weight mentioned in ounces. The contents of the container are specified in liters and the warning label suggests keeping the container upright and not changing or force-fitting connections to the device. The liquid oxygen is extremely cold and can cause frostbite or explode on ignition or impact if in contact with combustibles. The company specifies the proper use of Oxygen by properly trained personnel and recommends refilling it at AWS authorized facilities only.*

COA BACK - rws ox coa back

COA BACK - rws ox coa back

This is a delivery tag for liquid oxygen manufactured by Rochester. The vessel contains oxygen produced through air liquefaction process. Contact information for Rochester is also given.*

COA FRONT - rws ox coa front

COA FRONT - rws ox coa front

* 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.