Scanpan Classic 7 Piece Knife Block Set

This SCANPAN Classic 7 piece knife block contains a 9cm paring knife, 14cm tomato/cheese knife, 15cm utility knife, 20cm carving knife, 20cm bread knife and 20cm chef knife, all in a modern oak block with stainless steel foot.
SCANPAN has rejuvenated their current popular Classic knives by upgrading the range with an elegant and sleek design – the Classic knife range has been modernised and the performance enhanced. The Classic knives are perfectly balanced with a new ergonomic bolster to improve chopping grip. Each knife is crafted from the finest grade German stainless steel , the blade thickness for optimised weight. The blade is flawlessly taper ground to a “”hairline finish””, to increase corrosion resistance. Finally, the blade is manufactured to Rockwell test standards to ensure that it’s tempered and hardened to perfection with a hardness scale of HRC 56-57
All SCANPAN Knife sets and individual knives are guaranteed for 10 years

Features
Finest quality German stainless steel
Superior “”Hairline Finish”” taper ground cutting edge
Hardness tested to HRC 56-57
Genuine Danish design
Perfectly weighted and balanced
Ergonomic trilobal handle design
Rounded back of knife blade for increased finger comfort
New ergonomic bolster improves chopping grip

Maintenance & ; Care
SCANPAN Classic Knives will last a lifetime if afforded proper care.
To avoid accidental injury and blade damage, treat knives with respect and always handle with due care
Cutting on a soft, non-abrasive surface such as a timber or plastic cutting board will help prevent premature dulling of the blade
Regular use of a SCANPAN Classic Diamond Sharpening Steel will ensure that your knives retain their keen razor sharp edge
All SCANPAN Classic knives are dishwasher safe however due to the harsh nature of the machine cleansing process, we recommend that you hand wash your knife and dry it with a towel
Use a storage block to house your knives and protect the blades. Never store cutlery pieces loose in a drawer