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Predict quality of Yellow Alkaline Noodles

18/01/2019 12:18

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.

Rheological Characterization of a new cereal called Tritordeum

20190403

Tritordeum is a new natural cereal. It is combination of durum wheat (Triticum durum) and wild barley (Hordeum chilense) native to Chile and Argentina. ...

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CHOPIN Technologies contributes to the 19th ICC conference 2019 – Science meets Technology - April 24-25 – Vienna, Austria

20190326

CHOPIN Technologies invites you to attend the session « Innovations and Applications for Cereal Laboratories »

 

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Testimonial - The Waloon Agricultural Research Center (CRA-W)at Gembloux, Belgium, tested the Amylab FN of CHOPIN Technologies

20190320

In a humid maritime climate, evaluating the Hagberg falling number is of paramount importance in the receipt of cereals and more particularly milling wheat.

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