Kitchen Gadgets Kitchen Essentials Rice Washing Bowl Stainless Steel Drainage Basket Slanted Bottom Basin Colander S
Hgurguhbo
sku: 8690361344
$28.25
Shipping from: United States
Description
Kitchen Gadgets Kitchen Essentials Rice Washing Bowl Stainless Steel Drainage Basket Slanted Bottom Basin Colander S Features: *Rice Washing Bowl Stainless Steel Rice Sieve Net Colander Steamer Baskets Drain & Rinse: This versatile kitchen tool is a must-have for any kitchen. It can be used for washing draining and storing a variety of foods such as rice grapes cherries legumes grains mung beans pasta barley and spaghetti. Its multi-purpose design makes it a perfect addition to any modern kitchen. *Easy and Safe to Use: The colander features evenly fine drainage holes on the sides allowing for fast draining while keeping rice vegetables and fruits securely in the bowl. It provides convenient and safe usage. *Unique Slanted Design with Side Drainers: The bottom of the colander is designed with a unique slanted shape enabling quick and easy flow of water or other liquids. The side drainers ensure effective and thorough washing of rice before cooking. *Super Easy to Clean: Made with a mirror-polished stainless steel this colander is incredibly easy to clean. Rinse it under running water and it will be ready to use again. The polished also ensures food safety. *High Quality Heavy Duty Stainless Steel: Constructed with thickened food-grade stainless steel this colander offers solid construction and high durability. The mirror-polished adds an elegant touch making it a perfect for family and friends. It combines practicality with an artistic design and has a longer service life. Specifications: *Part Name:Rice Washing Bowl *Material:Stainless Steel *Size:23.5*17.5*11 *Color:Sliver Package Content: 1*Rice Washing Bowl 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.
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