Overview
Applications: GSM
Focus Area: Ingredients and Formulation
The
idea behind edible portion is that not all material can be consumed. If not all materials can be
consumed then not all materials contribute equally when combining materials together
to make new materials. Therefore theoretical rollups are calculated based on
the edible amount.
The Basics
Let’s
look at a simple example. In example A we have an item where both ingredients
are 100% edible, represented by column C. Therefore when we roll up the Total
Fat per 100g we need to consider the contribution that each ingredient
provides. Ing 1 and 2 contribute equally because
their input amount, column B, and their edible portion, column C are the same. By
blending the two ingredients into a new output we end up with 7.5g of Fat per
100g.
Figure 1. Example A
Now
let’s change the scenario. In example B Ing 1 is now
only 25% edible. It might represent meat on the bone or another item where very
little of the total weigh is edible. In this example you will notice that the
edible ratio, column E, for both items change. This indicates that Ing 2 is providing a majority of the edible material. Therefore
the Fat per 100g for Ing 2 has a greater impact on
the output. In this case the combined material output has 6g of Fat per 100g.
Figure 2. Example B
Additional Notes
- We do not believe it will be appropriate
for most customers to use edible portion. By default the GSM.EdiblePortion.Enabled configuration is set to
“false” or off. Therefore if you
choose to use it you will need to change the value to “true”. This
configuration is found in the BaseFeatureConfig
and can be copied to the CustomerFeatureConfig.
- If you enable the functionality and
choose not to use edible portion for one or many items then the edible
portion for these items should be marked as 1 or 100%.
- For items impacted by edible portion we
have also determined that users often need to adjust the label’s serving
size. Users will need to perform this work on the Nutrient Profile using a
combination of serving size and custom data in order to generate proper
panel data.
