Features:
brand new high quality
Made of high quality material, durable
It can avoid direct contact between people and electrostatic sensitive components, and safely remove the static electricity from the human body of the operator.
Can be used multiple times as a waterproof glove. It can also be used as a disposa ble finger cot. There is enough quantity for you to use anytime.
Fingertip protective gloves to prevent fingertips from being damaged by toxic substances, avoid direct contact with sensory components, prevent employees from sweating during operation, prevent products from being stained with dust, and avoid fingernail scratches on the product. These finger covers are also suitable for covering nail dressings to keep them clean and dry.
Used in microelectronics, computer, communication, semiconductor assembly. Precision components and bio-pharmaceutical, chemical, dust-proof for teachers and other industries. They can be used for professional tattooing, nail art, electronics repair, painting, jewelry cleaning, crafting, and more. If your fingers, toes are injured, you can use these gloves while bathing to prevent water from getting into the wound and infection.
They leave no fingerprints and let you grab objects. Elastic and flexible, suitable for all finger sizes. Minimize the effects of body oil, sweat, and hand cream. Can be used in any situation without full gloves. Ultra-thin fingertips make fingers more flexible.
Product parameters:
Type: finger cot
Material: Rubber Latex
Length: approx. 6.5cm
Diameter: approx. 2.6cm
Color: white/pink/black/yellow (optional)
Uses: home furnishing, chemical industry, nail art
Widely used in jewelry cleaning, spray painting, home furnishing, microelectronics, computer, semiconductor assembly, chemical industry and other industries.
Package Included:
100 * finger cots
Note:
1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2.Please allow slight manual measurement deviation for the data.
