Researchers from the Université de Strasbourg, France, have developed a method to discover cocoa bean origin by analyzing chocolate polyphenols using high performance liquid chromatography–diode array detection–mass spectrometry.
Photo Credit: Iprachenko/Shutterstock.com
Researchers from the Université de Strasbourg, France, have developed a method to discover cocoa bean origin by analyzing chocolate polyphenols using high performance liquid chromatography–diode array detection–mass spectrometry (HPLC–DAD–MS) (1).
The ability to trace and authenticate foodstuffs has become increasingly important with several notable scandals bringing the topic into the public consciousness and ramping up its importance in industry. Given the interest in this topic, it was inevitable that a universally popular foodstuff such as cocoa-the main ingredient in chocolate-would require authentication. The price of cocoa is dependent on its origin, with cocoa from locations such as Madagascar, the Caribbean, and various countries from South America to Africa warranting varied market prices because of perceived differences in quality between the products.
Polyphenols are present in high quantities within cocoa and are closely linked to the characteristics and aroma of chocolate products. Polyphenol content is linked to the geographical origin and the cocoa bean variety as well as the processing steps that occur during chocolate manufacture. For these reasons researchers targeted polyphenols as the key to determining the origin and quality of chocolate products. Using a simple extraction technique and HPLC–DAD–MS, researchers developed a method to determine the origin and quality of the cocoa used within a finished chocolate product.
Despite polyphenol loss and degradation from processing, the significant amounts of polyphenol that remain in the final chocolate product enabled researchers to successfully develop a method to determine the origin and quality of cocoa used to produce the chocolate. The extraction method separated polyphenols from the other major components of chocolate, such as lipids, sugars, proteins, alkaloids, and other non-volatile substances. This method is significant because previous research focused on determining this information pre-processing and gives authorities a significant tool to detect food fraud in chocolate in the future. - L.B.
Reference
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.