Product Images Mellow Hand Sanitizer 3.78l Ml325 01

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The following image provide visual information about the product associated with Mellow Hand Sanitizer 3.78l Ml325 01 NDC 54860-303 by Shenzhen Lantern Scicence 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.

Mellow hand sanitizer 3.78L - Mellow hand sanitizer 3.78L

Mellow hand sanitizer 3.78L - Mellow hand sanitizer 3.78L

This is a Drug Facts label for a Hand Sanitizer. The active ingredient is Ethyl Alcohol 62% (v/v) and it is used as an antiseptic to help reduce bacteria that potentially cause disease. It is designed to be used when soap and water are not available. The label provides warnings to keep the product away from heat or flame as it is flammable. It should not be used on children less than 2 months of age or on open skin wounds. When using the product, it should be kept out of eyes, ears, and mouth. In case of contact with eyes, rinse thoroughly with water. If irritation or rash occurs, stop using the product and contact a doctor. The label also suggests keeping the product out of reach of children and to contact Poison Control Center if swallowed. The product should be applied to hands to cover all surfaces and rubbed together until dry. It is advised to supervise children under 6 years of age when using this product to avoid swallowing. The inactive ingredients include Water (Aqua), Glycerin, Isopropyl Myristate, Propylene Glycol, Tocopheryl Acetate, Aminomethyl Propanol, Carbomer, and Parfum. This Hand Sanitizer was not tested on animals. The manufacturer is Shenzhen Lantern Science Co., Ltd. The product is licensed and distributed by LANTERN BEAUTY AMERICA INC. It was made in China and has lot number LT081020. The manufacturing date is 08/10/2020 and the expiration date is 08/09/2022.*

* 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.