Povidone-iodine Swab
Product Images NDC 81280-002

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 Povidone-iodine (NDC 81280-002). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Mazza Healthcare, Llc, 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

Principal Display Panel (2000 Pouch Carton Label)

Principal Display Panel (2000 Pouch Carton Label)
This is a product description of "0205000 POVIDONE IODINE PREP PADS, MEDIUM NON-STERILE". The product is sold in a case of 2000 each and the model number is MH. There are two variations of the description. One has a typo with "DESCRPTION" and "QuanTrTY", and the other has "DESCRIPTION" and "QuanTY".*
FDA Label Image

Principal Display Panel (1 Prep Pad Pouch Label)

Principal Display Panel (1 Prep Pad Pouch Label)
M_H Povidone-iodine is an antiseptic germicide used for first aid to prevent skin infection in minor scrapes, cuts, and burns. It contains Povidone-iodine, which is equivalent to 1% titratable iodine. It is for external use only and shouldn't be used on individuals allergic or sensitive to iodine or in the eyes. Before use on deep or puncture wounds, animal bites, or serious burns, consult a doctor. When irritation and redness develop, discontinue use. The inactive ingredients are citric acid, glycerin, nonoxynol-10, purified water, and sodium hydroxide. The product is manufactured for Mazza Healthcare and is a single-use, non-sterile medium two-ply prep pad labeled with NDC 81280-002-01 and reorder #02-050-00. Store at room temperature, 59-86°F (15-30°C).*

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