Product Images Germ Wipes

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Product Label Images

The following 2 images provide visual information about the product associated with Germ Wipes NDC 75662-160 by Ningbo Chenxing Daily Necessities 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.

160 WIPE LABEL - 160 wipes

160 WIPE LABEL - 160 wipes

Premium Soft & Strong 75% Alcohol Wipes are formulated to effectively clean and sanitize hands, reducing germs and bacteria that can cause disease. These wipes are free of harsh chemicals and contain moisturizing Aloe Vera. They are perfect for use in various settings, such as restaurants, stores, offices, gyms, kitchens, schools, dorms, and during travel. The wipes are easy to use and have a shelf life of two years if unopened. However, they should be stored in a cool and dry place to prevent them from drying out. The wipes contain 75% alcohol, which acts as an antiseptic to clean and reduce germs. These wipes are distributed by Protective Suppliers LLC and are not flushable. They should be discarded in the trash after use and the canister can be recycled.*

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acc57235 68f1 59e6 e053 2a95a90a8a3e

Premium Soft & Strong 75% Alcohol Wipes are high quality sanitizing wipes that are tough on germs while being gentle on the skin. These wipes are free of harsh chemicals and contain moisturizing Aloe Vera. They are effective in removing germs and bacteria from hands during and after being in stores, restaurants, offices, classrooms, gyms, kitchens, and dorms, especially when soap and water are not available. The wipes are available in a convenient pop-top dispenser that keeps them moist for longer periods. The wipes are not meant to be flushed and must be discarded in the trash after use. These wipes are distributed by Protective Suppliers LLC and are made in China.*

* 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.