Product Images Isopropyl Alcohol Wipes

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Product Label Images

The following 3 images provide visual information about the product associated with Isopropyl Alcohol Wipes NDC 71870-101 by Winner Medical 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.

bag - BAG IMAGE

bag - BAG IMAGE

Winner Isopropyl Alcohol Wipes are antimicrobial wipes perfect for cleaning and disinfecting skin. These wipes come with 70% Isopropyl Alcohol and purified water as its active and inactive ingredients and are not to be used as diaper wipes or for cleaning surfaces that come in contact with food. The label contains directions and warnings regarding its use, including external use only, avoiding contact with eyes, keeping away from children and seeking medical help if swallowed. The product is manufactured by Winner Medical Co. Ltd. and can be purchased from their website.*

BOX IMAGE - BOX IMAGE

BOX IMAGE - BOX IMAGE

This text provides information about a product labeled as "ISOPROPYL 501 084". The SKU number is "606-002307". The package contains alcohol wipes, with 6 sets in total. Each set has 3 bags containing 60 wipes each, with a size of 5.91in X 7.87in or 150mmx200mm. The dimensions of the package are 38cmx36cmx15.5cm. The manufacturer's address is Winner Industrial Park, No. 660 Bulong Road, Longhua District, 518109 Shenzhen, China, and contact information is available via email at [email protected]. This product was made in China.*

SET(PACKAGE) IMAGE - SET IMAGE

SET(PACKAGE) IMAGE - SET IMAGE

This appears to be a product description for Isopropyl Alcohol wipes, including information on the number of wipes (180), the size of each wipe (5.91inx7.87in), and the SKU number (606-002307). It also includes warning not to take apart the set and spaces to fill in the lot number, production date, and expiration date.*

* 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.