An acoustic mixer was used to create food-adulterant mixtures. All the mixed samples were placed in sample holders with a surface area of 50 mm脳50 mm. Spectral and image processing algorithms were developed based on single-band images at unique Raman peaks of the individual adulterants. ...
2022, Food Control Show abstract Non-destructive authentication of Gourmet ground roasted coffees using NIR spectroscopy and digital images 2021, Food Chemistry Show abstract Current Application of Advancing Spectroscopy Techniques in Food Analysis: Data Handling with Chemometric Approaches 2023, Foods Food...
is the most expensive spice in the world, known for its unique aroma and coloring in the food industry. Hence, its high price is frequently adulterated. In the current study, a variety of soft computing methods, including classifiers (i.e., RBF, MLP, KNN, SVM, SOM, and ...
Journal of Food EngineeringSu, W.H., Sun, D.W., 2017. Evaluation of spectral imaging for inspection of adulterants in terms of common wheat flour, cassava flour and corn flour in organic Avatar wheat (Triticum spp.) flour. J. Food Eng. 200, 59-69....
Food Additives & ContaminantsQin J, Kim M S, Chao K, Dhakal S, Lee H, Cho B, et al. Detection and quantification of adulterants in milk powder using a high-throughput Raman chemical imaging technique. Food Addit. Contam. Part A, 2017; 34(2): 152-161....
Although Raman microscopy imaging has been used for quality and authenticity analysis of food products previously, the application of line-scan Raman imaging has emerged only recently. Here, we assess the applicability of line-scan Raman hyperspectral imaging (RHI) for simultaneous detection of three ...
For this purpose, Raman images based on two different bands at which Sudan-I exhibits highly intense peaks, showing the lowest interference from other adulterants or food constituents, were multiplied together to generate a band multiplication image. The same methodology was applied to generate a ...
For this purpose, Raman images based on two different bands at which Sudan-I exhibits highly intense peaks, showing the lowest interference from other adulterants or food constituents, were multiplied together to generate a band multiplication image. The same methodology was applied to generate a ...