Atti Amour Rose Anti-aging Repair Classic Essence Liquid
Product Images NDC 84601-001

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Atti Amour Rose Anti-aging Repair Classic Essence (NDC 84601-001). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by River Sunz Co.,ltd, 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

Label1 (Label1)

Label1 (Label1)
Atti amour Rose Anti-Aging Repair Classic Essence is a skincare product that contains active ingredients like NIACINAMIDE and GLYCERIN. It aims to help with skin whitening and wrinkle improvement. The product should not be used on wounds or damaged skin. In case of any abnormal symptoms or side effects, one should stop using the product and seek medical advice. The essence also includes a variety of inactive ingredients such as ROSE DAMASCENA FLOWER WATER, LACTOBACILLUS FERMENT, and HYALURONIC ACID. For more information or inquiries, you can contact the manufacturer at [email protected]. The product is manufactured by RIVERSUNZ CO.LTD in Gyeonggi-do, Republic of Korea.*
FDA Label Image

Label2 (Label2)

Label2 (Label2)
The text provides information about a skincare product called "Rose Anti-Aging Repair Classic Essence." It contains a blend of natural ingredients to help combat environmental stress and restore youthful vitality to the skin. The essence helps with the whitening and improvement of wrinkles. Instructions on usage and dosage are included, along with precautions for use. In case of any issues with the product, there is guidance on how to exchange or receive compensation. It is manufactured by RIVERSUNZ CO.LTD in Korea.*

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