Petrolatum Jelly
Product Images NDC 77338-101

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Petrolatum Jelly (NDC 77338-101). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Astonea Labs Private Limited, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Principal Display And Drug Fact Panel (Astonea Blue)

ASTONEA is a petroleum-based skin protectant. It has a fresh scent and is intended for external use only to protect and soothe dry, cracked, or chapped skin. The active ingredient is P-595 Sinidato, which helps to moisturize and soften the skin. However, there are no clear instructions on how to use the product, and the label includes several typographical errors that may make it difficult to understand. It is also important to note that the product should be kept out of reach of children. Ultimately, more information is needed to determine the effectiveness and safety of this product.*

FDA Label Image

Principal Display And Drug Fact Panel (Astonea Coco)

FDA Label Image

Principal Display And Drug Fact Panel (Astonea Pink)

This product is a petroleum jelly, which acts as a skin protectant and has a fresh scent. It is meant for external use only and has a net weight of 13 ounces (368 grams). The drug facts state that it can be used for dry, chapped, or cracked skin, especially in cold weather. The warning indicates that it is for external use only and should not be ingested. The product should be kept away from children and if symptoms persist, medical help should be sought. The directions for use are not available. The product was manufactured by Astonea Labs Private Limited, located in Haryana, India.*

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