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Using multiple linear regression (MLR) based on quantitative and qualitative testing to predict quality of Yellow Alkaline Noodles

16/01/2019 13:06

Using multiple linear regression (MLR) based on quantitative and qualitative testing to predict quality of Yellow Alkaline Noodles

The aim of this study was to propose an analytical strategy to predict noodle quality from wheat flour, hence permitting a better segregation of the best suited wheat cultivars.

Brian Mitchell joins KPM Analytics as CEO

KPM Analytics announced today that Brian Mitchell has joined as Chief Executive Officer.

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U.S. Wheat Associates support the SRC method.

“USW believes that with a more complete understanding of the functional value of wheat proteins, carbohydrates and other properties, flour milling quality control managers...

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Dr. Hikmet Boyacioglu

We are extremely pleased to welcome Dr. Hikmet Boyacioglu, who is joining the CHOPIN Technologies / KPM Analytics North America team (in Milford, MA, USA) as Applications Development Specialist.

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