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rejsharpParticipantHello Luca, these attachments may help you.
mfg RogerAttachments:
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rejsharpParticipantHi Luis and Francisco,
Great to see common interest in this subject. I will be off to the shops to get some common commercial mushrooms to get a feel for what scan results show.
I think actual toxins will be too small to identify, but maybe mushroom composition will allow identification.Narcotics identification is bound to be a huge deal. The trick will be to have access to known samples without attracting handcuffs!
rejsharpParticipantI am sure that this will be a complex project, as biological samples vary in chemical composition with lifestage, age and storage conditions, as well as growing location, and maybe weather during their growth.
I think it will be worth exploring, even if we only end up showing that a potato is not a parsnip https://dev.scionir.com/wp-content/plugins/wp-monalisa/icons/wpml_smile.gif
rejsharpParticipantHi Khoa, Great to see a common interest.
I suggest that we make a few independent samples first to get a feel for the data.
After that we could share learnings and agree an attribute model and scanning protocol.
I already see a big discrimination between spectra from lean meat and pure fat, that makes me think that fat % should work, depending on sample. See attached file.
I will make another visit to the butcher soon to get some different “known” meats.
I don’t expect this to be an easy project, as meat is coarsely granular and changes a lot with age and storage conditions.mfg Roger
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rejsharpParticipantWrong continent for me, but I wish you all a great day of learning, friendship and fun.
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