[jdchapplesokol@gmail.com]

Thanks, Ayelet.  I think that is a problem.  If I had 5 different grains and mixed only some, I’d need to create and check the mixture against 5 models to determine composition?  If each grain had a unique spectral signature, I would expect a that single good model where each grain is well characterized should suffice to determine the composition of a mixture.  Think of a simple mixture, say baking soda and wheat flour. Or ethanol and water. Each should be clearly distinguishable in a spectrum.  The respective fraction of each component should be determinable from a single analysis by the relative peak (or peaks) areas.

 

I cannot believe I am the only person interested in such a capability, and I suspect the modeling is not too complicated.  Can Consumer Physics consider working on this?

 

Thanks

Jonathan

[jdchapplesokol@gmail.com]

I have not heard back on this – so the question is can SCiO modeling determine linear combinations of categorical data?  How can  I determine fractions in a blend without mixing many different combinations?

 

Thanks

Jonathan

[jdchapplesokol@gmail.com]

I think I am asking a more general question, using specifics as examples.  For instance, If I sampled flours – wheat, rye, millet, buckwheat,…. and created a good categorical model that could identify each.  If I then mixed two different flours together, how can I create a model that will say ” 50% rye, 50% millet”?  I think right now the models just try to find the best categorical fit and does not try to match linear combinations of categories, right?

 

Jonathan

 

 

 

[jdchapplesokol@gmail.com]

Thank you,  Ayelet.

 

I thought I understood your response, but I am not sure.  Using your Pain Reliever model, which accurately identified an Acetominophen tablet and an Ibuprophen tablet, I crushed and mixed the two.  The app returned a ” Material not recognized” result rather than a blend.

 

I realize my chocolate model has weaknesses, and have not blended, say Guatemalan and Peruvian chocolates to see, but I suspect I’d get the same ‘ not recognized’  response.  Or do you think if the model were strong it would give me a fractional blend value?

 

Thank you very much,

Jonathan

[jdchapplesokol@gmail.com]

Thank you for the update on the liquid sampling accessory.  To what does the commentary on the forum  “Home>hardware>Transmittance mode for liquid samples” refer?

[jdchapplesokol@gmail.com]

I agree rejsharp.  I contacted CP directly as well.

[jdchapplesokol@gmail.com]

I am curious as well.  I tried assessing sugar water – evolution in stages of candymaking.  There was not enough reflected signal.  I haven’t tried non-transparent liquids.

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