Non-Invasive Detection and Quantification of Gluten Contamination in Grain-Based Foods Abuchi Okeke
Project Description
Detection and quantification of gluten contamination in grain-based foods using non-invasive methods (such as FTIR, Hyper-spectral Imaging System and other spectroscopy methods) coupled with machine learning (AI) approaches.
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Project Progress
73%
Project Timing
Start
May202019
End
Jun102020
05/20/2019 06/10/2020
100%
Overall Project Completion
20%
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73%
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0% Complete
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Project Discussion No discussions posted at this time
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