Intralipid
Product Images NDC 51662-1333
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 20 technical images submitted to the FDA as part of the official labeling for Intralipid (NDC 51662-1333). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Hf Acquisition Co Llc, Dba Healthfirst, 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
Desc 1 (Description Table 1)
Desc 2 (Description Table 2)
Label (Label)
1 (Spl 1)
2 (Spl 2)
3 (Spl 3)
4 (Spl 4)
5 (Spl 5)
This is a set of instructions for inserting a spike into an infusion port. The user should hold the base of the port firmly and insert the spike straight through the septum, taking care to insert it straight and not at an angle. The contents of the bag should be inspected for particulate matter in a well-lit environment before administration, and the bag should be discarded if there are any signs of discoloration or particles.*
6 (Spl 6)
Serialized Labeling (Serialized 51662 1333 1 Intralipid)
Intralipid® 20% is an intravenous fat emulsion used for increasing caloric intake in patients. Each 100 mL contains soybean oil, phospholipids, glycerin, and water for injection. It is a sterile and non-pyrogenic single dose container that should not be frozen or stored above 25°C. Adding medication to the emulsion is not recommended, and it should only be administered intravenously if the bag is undamaged. The product is manufactured in Uppsala, Sweden, for Baxter Healthcare Corporation, Deerfield, IL.*
Stru 1 (Structure 1)
Stru 2 (Structure 2)
Stru 3 (Structure 3)
Stru 4 (Structure 4)
Stru 5 (Structure 5)
Stru 6 (Structure 6)
Stru 7 (Structure 7)
Stru 8 (Structure 8)
Warnings (Warnings)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.