Product Images Mk Povidone-iodine Scrub Solution

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Product Label Images

The following 2 images provide visual information about the product associated with Mk Povidone-iodine Scrub Solution NDC 59050-557 by Changzhou Maokang Medical 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.

2oz - PVP I SOLUTION SCRUB 2OZ

2oz - PVP I SOLUTION SCRUB  2OZ

This is a drug information sheet for a Povidone-iodine antiseptic scrub solution manufactured by MaoKang Medical. The solution contains 7.5% w/w Povidone-iodine, with 0.75% titratable iodine, and is to be used for antiseptic skin preparation. The packaging contains 2 fluid ounces (59ml) of the non-sterile solution. The drug facts section indicates that it should not be used by those allergic to iodine, and should not be used in the eye. In case of ingestion, professional assistance or consultation with a Poison Control Center is advised. The directions indicate that it should be applied locally as needed and is intended for professional use only. The drug is made in China by Changzhou Maokang Medical Products Co., Ltd.*

4oz - PVP I SOLUTION SCRUB 4OZ

4oz - PVP I SOLUTION SCRUB 4OZ

This is a drug facts label for Maokang Medical Povidone-lodine Scrub Solution, an antiseptic solution made by Changzhou Maokang Medical Products Co. The solution contains 7.5%w/w Povidone-lodine and is intended for antiseptic skin preparation for hospital or professional use only. The label includes warnings not to use if allergic to iodine or in the eye, and to seek professional assistance or consult Poison Control Center immediately in case of accidental ingestion. The solution is non-sterile and comes in a 4 fl. oz. bottle. The label also lists inactive ingredients, manufacturing information, and the lot number and expiration date of the product.*

* 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.