Product Images Sera Hand-sanitizing Wipe

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Product Label Images

The following 2 images provide visual information about the product associated with Sera Hand-sanitizing Wipe NDC 77822-201 by Sng 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.

280g NDC: 77748-201-02 Label - SERA Hand Sanitizing Wipe 280g Label

280g NDC: 77748-201-02 Label - SERA Hand Sanitizing Wipe 280g Label

This is an advertisement about hand sanitizer wipes that help to reduce bacteria. The wipes use a 7-step hydrostatic process and precision filtering equipment to ensure high-quality standards. These wipes are suitable for adults and children and contain active ingredients such as benzalkonium chloride and citric acid. Users are advised to supervise children under six years and to avoid swallowing the wipes. Store the wipes in a cool place and use them as soon as possible after opening. They may discolor certain surfaces.*

42g NDC: 77748-201-01 Label - SERA Hand Sanitizing Wipe 42g Label

42g NDC: 77748-201-01 Label - SERA Hand Sanitizing Wipe 42g Label

This is a product description of a hand sanitizer that helps reduce bacteria effectively and doesn't leave any residue or stickiness. It's designed to keep one's hands clean when hand washing isn't feasible, created using a 7-step filtering approach, including activated carbon filtering, automatic precision filtering, reverse osmotic pressure purification, ultraprecision filtering, and filtering equipment. The product comes in a 42g pack with 10 sheets of wet wipes that work as an antiseptic to sanitize surfaces. The packaging includes instructions and drug facts; it should be used with caution according to the manufacturer's recommendations, should only be consolidated on children under the age of 6, and can be flammable when exposed to heat sources or flames.*

* 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.