الوصف
- FABRIC MATERIAL - Made of high quality fabrics material, a great alternative to paper towels, rags, and sponges. Also, they combines durable with softness for a comfortable, clean feeling every time. Our nonwoven microfiber cleaning cloths are durable, economical.
- SUPERIOR ABSORBENCY - Thoes handy wipes dry quickly that they don't get that gross smell like most dishclothes or sponges do.Provide superior absorbency and won't fall apart. Has strong water absorption to keep the air fresh and healthier for the environment.
- 50 Count/Roll & MULTIPLE COLOR - 11.61'' X 7.68''(29.5 X 19.5cm) per sheet, each pack contains 50 cloths. Just like a paper towel roll, and fit in your paper towel holder, they are perforated so you can rip off the size you need. You'll save money and cut down on household waste.
- EFFICIENT SURFACE - The textured surface is excellent for scrubbing and trapping a greasy film yet they are soft too. You don't have to use as many to clean up your messes and spills. And these handy wipes dry quickly that they don't get that gross smell like most dishclothes or sponges do.
- MULTI PURPOSE - The nonwoven fabric cleaning cloth can be used in all kinds of kitchen utensils, household appliances, ceramic tile, glass, leather shoes, dishes, range hood, table, floor, windows etc. And wet and dry dual-use, more easy and effective decontaminate.
Specification: Color: Random Size: 29.5x19.5cm/11.61x7.68inch Material: Non Woven Fabrics Features: Each pack contains 50 cloths, durable and convenient. A great alternative to paper towels, rags, and sponges. Provide superior absorbency and won't fall apart. Can be used in all kinds of kitchen utensils, household appliances. Easy to tear open, wet and dry, soft and breathable. Package content: 2 x Disposable Rag Notes: 1, The actual color of the item may be slightly different from the images displayed on the website due to many factors, such as the brightness of the monitor and the brightness of the light 2, Allow a slight deviation from the manual measurement for the data.
