The presence of foreign grains is a measure of quality in the processing of all grains;
Cgrain Value™ can be used at intake or in process control.
In producing Gluten-Free Oats, the presence of non-oat grains is of extra importance;
Cgrain Value™ ensures a high detection rate.
Download our leaflet about Using Cgrain
Value to ensure Gluten-Free Oats
Several weeds can be detected with Cgrain Value™ including bindweed,
cleaver, rape seed wild radish and wild oats.
Thanks to Cgrain Value’s™ patented design, providing three views
of every kernel, a high detection rate of broken kernels is achieved.
The presence of green kernels is an indicator of uneven
maturity and can be detected by Cgrain Value™ more consistently than
by manual analysis. Colour perception is highly individual, but
Cgrain Value™ analyses colour the same way every time.
Pink (fusarium-affected) barley
The presence of the Fusarium fungus significantly
reduces the quality of malting barley. As well as producing toxins,
it is suspected to be one of the causes of gushing. The most significant
sign of fusarium-affected barley is a pink colouration on the kernel;
Cgrain Value™ detects pink colour and reliably identifies fusarium by
obtaining three views of each kernel.
Download our leaflet about Using Cgrain Value
to test Malting Barley Quality
Husk, straws and other unknown objects are ‘other material’.
Sieving analysis / Screenings / Size Measurements
Cgrain Value™ has a unique mirror design that provides three
views of every kernel and accurately measures the length as well
as the widest and thinnest sides of the grain. Cgrain Value™
can therefore be used as a replacement for sieving.
Download our leaflet about Using
Cgrain Value for Size Measurements
TKW, Thousand kernel weight
Cgrain Value™ counts the kernels and by entering
the sample weight in Cgrain Value™, the TKW is calculated.
Colour and size measurements can be shown with means
and standard deviations as well as with diagrams of the distribution.
These measurements are only possible to obtain with image analysis and
can be used as new quality indices.