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A Randomly Amplified Polymorphic DNA (RAPD) method was developed for efficient detection of adulterant breeds in milk mixtures used for fraudulent production of this cheese.
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The use of NIR spectra would allow detection of adulterants even when masked by food dyes.
This study demonstrates that the ITS1 region can be used for reliable authentication of medicinal plants and detection of adulterants and substitutes of Gambhari.
These results correspond to polysaccharides of pure raw grains, confirming this approach as a feasible analytical tool for detection of adulterants in ground roasted coffee.
Qualitative detection of adulterants in milk are simple color based chemical reactions.
Qualitative detection of adulterants in milk can be easily performed with chemical reactions while quantitative detections are complex and diverse.
Detection of adulteration in the petroleum fuels (gasoline and diesel) is challenging because the adulterants usually include those compounds which are already present in these fuels.
These markers require screening new fragments or alleles to design specific primers for any new or unfamiliar adulterants, which limits its application in the detection of new adulterants.
Moreover, a simulation experiment containing a plant product contaminated by an animal component indicated that the candidate DNA markers can be used for the rapid detection of animal adulterants in vegetarian products with a promising 5% detection limit.
Nowadays milk is being adulterated in more sophisticated ways that demands for cutting edge research for the detection of the adulterants.
To develop a straightforward, nonsequencing method for rapid, sensitive, and discriminating detection of these adulterants in traded saffron, we report here the application of a barcoding melting curve analysis method (Bar-MCA) that uses the universal chloroplast plant DNA barcoding region trnH-psbA to identify adulterants.
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