Product Images Alcohol Wipes

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 11 images provide visual information about the product associated with Alcohol Wipes NDC 75269-013 by Linghai Zhanwang Biotechnology 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.

10 pcs label - 1.10 pcs alcohol wipes

10 pcs label - 1.10 pcs alcohol wipes

100pcs label - 100pcs

100pcs label - 100pcs

15pcs label - 15pcs

15pcs label - 15pcs

1 pcs label - 2.1 pcs alcohol wipes

1 pcs label - 2.1 pcs alcohol wipes

20 in carton label - 2.20 in carton alcohol wipes

20 in carton label - 2.20 in carton alcohol wipes

80 pcs label - 3.80 pcs alcohol wipes

80 pcs label - 3.80 pcs alcohol wipes

500pcs blank label - 500pcs

500pcs blank label - 500pcs

50pcs label - 50pcs

50pcs label - 50pcs

This is a label or packaging information of Alcohol Wipes that contains 15% of alcohol.*

60pcs label - 60pcs

60pcs label - 60pcs

80 sheets label - 80 sheets

80 sheets label - 80 sheets

Label required by client - label75269 013 10

Label required by client - label75269 013 10

This text is a description of a 75% alcohol wipe. It includes recommendations for usage, dosage, and precautions. The wipe is intended for occasional and personal domestic use and is effective in destroying harmful bacteria to provide antiseptic cleansing. The wipe is for external use only, and contact with eyes should be avoided. It is recommended for children, adolescents, and adults of 2 years and over. The text also gives instructions on how to use the wipe and the precautions to be taken, such as keeping it away from open flames and sources of heat, and supervising children when they use it. It also includes the contact information of the distributor and the quantity of the medicinal ingredient in the wipe.*

* 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.