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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.

Here are CHOPIN Technologies’ Application FAQs.

20190919

Here are our Application FAQs: summaries of our application studies accompanied by the most frequently asked questions.

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Sightline Process Controls Inc., CHOPIN Technologies and Unity Scientific® to showcase baking process and quality control solutions at IBIE19

20190909

Las Vegas, NV (September 8, 2019) – Sightline Process Controls Inc., CHOPIN Technologies and Unity Scientific® – all KPM Analytics companies – will present their advanced analyzer solutions for baking applications at IBIE 2019, booths #4648 and #1953 at the Las Vegas Convention Center. 

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Examples for the application of dough mixing and heating behaviour in cereal research

20190620

How to differentiate between cereals varieties, to determine technological quality of grains or to understand the impact of components on the dough technological behaviour ? These are key questions, especially in the development of non-wheat and gluten-free products.

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