Antiperspirant Above Neymar Jr Women Aerosol
Product Images NDC 73306-1130

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 Antiperspirant Above Neymar Jr Women (NDC 73306-1130). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Baston Industria De Arossois Ltda, 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

Package Label (Eua Antitranspirante Above Neymar Jr Dermaclin Women Page 0001)

Package Label (Eua   Antitranspirante Above Neymar Jr Dermaclin Women Page 0001)
This is a description of an antiperspirant aerosol product with a 16% active ingredient for reducing underarm sweating. The product's directions indicate that you should shake the can well before use and spray directly onto your underarms. The text lists many inactive ingredients and includes a phone number for customer questions. The latter part of the text pertains to a label or product with a clinical application or clinical (protective) action. The rest of the text has errors and is difficult to understand, with nonsensical phrases and paragraphs.*
FDA Label Image

Ed4a4524 8d07 B68c E053 2a95a90a5610

Ed4a4524 8d07 B68c E053 2a95a90a5610
This is a product label for an antiperspirant aerosol spray containing 16% Numioum Sesquictauiyot as the active ingredient. It also contains several inactive ingredients listed. The label provides instruction to shake the can well before use, apply it to the underarms and avoid spraying into the eyes during application. The product claims to provide excellent protection and uses zero alcohol. The label contains the manufacturer's contact details.*

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