Product Images Joypretty Vitamin Canti-oxidantwhitening Serum
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Product Label Images
The following 2 images provide visual information about the product associated with Joypretty Vitamin Canti-oxidantwhitening Serum NDC 84186-007 by Guangzhou Bonnieco Cosmetics Co., Ltd, 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.
1 - Label1
This text describes a Vitamin C Anti-Oxidant Whitening Serum designed to brighten skin, improve dullness, and rejuvenate skin. The serum contains a high concentration of vitamin C extracted from citrus peel, which serves as an active component against radicals and oxidants that contribute to aging and dullness. By protecting against damage to healthy skin cells and preventing skin problems like dullness and wrinkles, this serum also helps combat UV damage when used on sunny days. The net weight of the product is 0.51 oz. or 15ml.*
2 - Label2
This is a description of a Vitamin C Anti-oxidant Whitening Serum containing 5% Ascorbic Acid Polypeptide. It aims to brighten the skin, improve dullness, rejuvenate the skin, reduce UV damage, improve skin elasticity, and act as an anti-oxidant. The product warns that it is for external use only and should be kept out of reach of children. It provides directions for use, advice on testing for sensitive skin, and contact precautions. The serum is rich in Vitamin C extracted from citrus peel to combat radicals and oxidants responsible for skin aging and dullness. The ingredients also include water, glycerin, aloe vera, and other natural extracts. This serum is designed to be used on the face and neck, with a batch number and expiration date indicated on the packaging. The product is manufactured by Foshan Hicharm Biotechnology Co., Ltd. in China and weighs 0.51 ounces (15ml).*
* 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.
