The consumption of plant-based protein products is on the rise. Consumers seek alternative proteins for a healthier and more sustainable diet.
Peas, rice, nuts and pumpkin seeds are some of the most demanded protein sources in the food industry.
Due to growing consumer health concerns, the segment of nutritional supplements is also shifting towards plant-based proteins.
Many companies in the supplements industry provide plant-based ingredients aimed at consumers suffering from sensitivities, allergies or intolerances to lactose, casein or gluten…
Therefore, ensuring quality and conformity of the proteins contained in the final food products is essential to ensure food safety.
However, in this segment, where proteins are mainly supplied in powdered blends, fraud is very common. Ingredients are often replaced by cheaper and lower quality ones, such as lower quality soy, whey (source of lactose and casein) or wheat protein(source of gluten).
Conventional quality control analysis can take a long time to identify adulterations or cannot even detect deviations.
With the right technology, any slightest deviation can be detected in just a few seconds.
Chemometric Brain's software is the easiest solution on the market to perform qualitative analyses, which compare new samples with "correct" ones stored in product libraries in the cloud.
1) We have samples of various plant-based proteins with specifications: gluten-free, soy-free, and lactose-free adulterated with soy, wheat, and whey protein indifferent percentages: 2%, 4% and 6%, increasing each sample by 2% up to 30%.
2) By submitting the samples to Chemometric Brain qualitative analysis, the chemical fingerprints of each sample are compared with others previously validated as correct in a specific plant-based protein model.
3) In justa few seconds, Chemometric Brain software can easily detect adulterated samples where soy, wheat and whey protein has been added.
The result of the analysis is very easy to read: a green tick when the result is compliant or a red cross when a slight variation is detected with respect to the previously validated "good" samples.
This quick and simple procedure can be performed by any minimally trained professional without any technical knowledge.