Product Images Vege Aqua

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Product Label Images

The following 2 images provide visual information about the product associated with Vege Aqua NDC 70610-106 by Kotuku Inc., 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.

754d8627 d0f8 febe e053 2991aa0ad5d8

754d8627 d0f8 febe e053 2991aa0ad5d8

The text describes a product called RemcYEHOEWIEINNEE From Food Kitchen QUGBS ElIFE, a 475ml antibacterial and alcohol-free solution with natural ingredients that can help remove up to 99.9% of pathogens such as salmonella and E.coli from meat and vegetables. The product is harmless and safe, containing no harmful ingredients or alcohol, and has odorless features. It can keep food fresher for longer and sanitize food naturally, and it can be used right on the surface for hygienic disinfection. It comes with a warning to be used only according to instruction, to avoid direct sunlight and to be kept out of children's reach. The manufacturer's contact number: +1-310-220-4448. The product is manufactured by BEXINTERCORPORATION and can be used for 5 years from the time of manufacturing.*

VEGE AQUA LABEL v2 - VEGE AQUA LABEL v2

VEGE AQUA LABEL v2 - VEGE AQUA LABEL v2

This is a description of a 475ml/16fl.0z, non-toxic and natural antibiotic for food sanitation. The product is alcohol-free, odorless, and contains ionized alkali water as the main ingredient (99.7%). It is effective in removing harmful pathogens from foods, including salmonella, vibrio, and pseudomonas. The ingredients are pure, and there are no harmful substances involved. The product is designed to keep food fresher for longer, and it can be used directly on surfaces for hygienic disinfection. It is essential to keep the product out of reach of children and use it only according to instructions. For inquiries, one can call +1-310-220-4448.*

* 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.