Instant Hand Sanitizer
Product Images NDC 76681-016

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Instant Hand Sanitizer (NDC 76681-016). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Taizhou Huangyan Delishi Daily Necessity Co., Ltd., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

2 (100)

This text is a description of a hand sanitizer product. It claims to be transparent, rinse-free, and non-sticky. It uses ethyl alcohol as the active ingredient and can kill 99.9% of germs. The product comes in a 3.3 FL. OZ. (100ML) bottle and is labeled for prevention, sanitation, and hygiene. The product is manufactured in China.*

FDA Label Image

3 (236)

This is a description of a hand sanitizer that comes in a 7.9 fluid ounce (236 mL) bottle. The label mentions sanitation and hygiene, suggesting that the product is designed to keep hands clean and free of germs. Not much else can be determined from this text.*

FDA Label Image

4 (500)

This is a hand sanitizer product made in China with dimensions of 7x5.8cm and a clear/transparent appearance. It has a label with the brand ANZER, with the text "7 sumaen ML" which is unclear in its meaning. The product claims to kill 99.9% of germs and is rinse-free and non-sticky. The bottle contains 16.9 FL. OZ. (500ML) of the sanitizer. The product is marketed with emphasis on prevention, sanitation, and hygienics.*

FDA Label Image

1 (60)

This is a description of an Instant Sanitizer in a transparent 3-4X7.3cm container that kills 99.9% of germs without the need to rinse. It is non-sticky and comes in 2FL. OZ (60ML) size. The product is made in China and has the label "HX263".*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.