Product Images Mesoestetic Mesoprotech Melan 130 Pigment Control
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Product Label Images
The following 2 images provide visual information about the product associated with Mesoestetic Mesoprotech Melan 130 Pigment Control NDC 76450-001 by Mesoestetic Pharma Group Sl, 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.
Inner Package - Inner Package
This is a description for a sunscreen product called "melan 130 Pigment Control" with SPF 50+. The sunscreen is a tinted emulsion suitable for all skin types and is water-resistant for up to 40 minutes. The active ingredients include avobenzone, octisalate, and octocrylene. The directions suggest applying liberally 15 minutes before sun exposure and reapplying after swimming or sweating. It warns not to apply on damaged or broken skin and to avoid contact with eyes. The product is manufactured in Spain by mesoestetic Pharma Group and distributed in the US by DG Cosmetics LLC. For more information, refer to the outer box for complete drug facts.*
Outer Package - Outer Package
This text provides detailed information on a skincare product called Mesoestetic Mesoprotech Melan 130 Pigment Control Sunscreen. It includes drug facts with active and inactive ingredients, sun protection measures, directions for use, and warnings. The product is a tinted emulsion designed for pigmentation control and suitable for all skin types. It offers broad-spectrum SPF50+ protection, is water-resistant for up to 40 minutes, and contains ingredients like avobenzone, homosalate, and octocrylene. The packaging is environmentally friendly, with a high percentage of post-consumer recycled materials. The product is dermatologist-tested for safety and manufactured by Mesoestetic Pharma Group in Spain, emphasizing sea life respect and commitment to the planet.*
* 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.
