Validation of multispectral imaging for the detection of selected adulterants in turmeric samples

In this study, we propose a multispectral imaging system for detecting the percentage of the common adulterant; tartrazine colored rice flour found in turmeric powder. A multispectral imaging system was developed utilizing nine spectral bands with peak wavelengths from 405 nm to 950 nm. An algorithm was developed based on Principal Component Analysis (PCA) and Bhattacharyya Distance. The relationship between the Bhattacharyya Distance and the adulteration level was modeled as a second-order polynomial with an R2 = 0.9911 and the results were validated using an independent set of samples with an R2 = 0.9816.
Source: Journal of Food Engineering - Category: Food Science Source Type: research
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