Product Images Alcohol Wipes

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Alcohol Wipes NDC 77119-201 by Guangzhou Shentai Hygienic Products 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 - 1

1 - 1

This is a description of alcohol-based wet wipes that can be used on hands and surfaces. They are antibacterial and contain 75% alcohol for disinfecting purposes. These wipes are effective in killing 99.9% of germs. However, this text seems incomplete as it ends with "1%". Therefore, it may not provide a complete description of the product.*

10 - 10

10 - 10

This is a product that includes alcohol wipes designed for sanitizing hands and surfaces. The wipes contain 75% alcohol and are advertised as protective, sterile, and bacteriostatic. Unfortunately, there is not much else to infer from this limited text.*

100 - 100

100 - 100

This is a product label for a wet wipe that is designed for sanitation and protection against bacteria. It contains alcohol and is described as a bacteriostatic, meaning it is able to inhibit the growth of bacteria. No further information is available from the given text.*

20 - 20

20 - 20

50 - 50

50 - 50

This is a description of a wet wipe designed for sanitation purposes. The wipe is bacteriostatic and protective, intended to sterilize surfaces. The wipe is soaked in alcohol, making it effective at killing germs.*

80 - 80

80 - 80

This is a description of a wet wipe that is designed for sanitation purposes. The wipe contains alcohol and is bacteriostatic, which means it is intended to inhibit the growth of bacteria. Additionally, the wipe is sterile and protective. The brand or specific type of wipe is identified as "CYRYZ YN (1) 1)".*

* 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.