Researchers from the University of Chemistry and Technology in Prague, Czech Republic, have developed a saffron authentication process based on ultrahigh-performance liquid chromatography coupled to high resolution tandem mass spectrometry (UHPLC–HRMS/MS) and multivariate data analysis.
Researchers from the University of Chemistry and Technology in Prague, Czech Republic, have developed a saffron authentication process based on ultrahigh-performance liquid chromatography coupled to high resolution tandem mass spectrometry (UHPLC–HRMS/MS) and multivariate data analysis (1).
As one of the oldest and most expensive spices, saffron is a very enticing target for fraudulent activities. Rare and exotic with a complex production process that varies considerably dependent upon the production region, small amounts of saffron can be sold for a high price. In particular, Spanish saffron is highly sought after, a problem highlighted in the 2011 “saffron scandal”, which revealed that barely one percent of saffron labelled as “Spanish” was actually grown in Spain (2). Other types of saffron are also susceptible with a recent review identifying saffron as the fourth most commonly fraudulent food stuff (3).
Identifying the geographical origin of saffron has commonly been carried out through target analysis of a specific marker such as amino acids (4) or utilized stable isotope analysis (5), however, none of these methods employed a metabolomics approach and as such they relied on a generic extraction procedure. The aim of the current research was to investigate the suitability of metabolic fingerprinting using UHPLC–HRMS/MS to authenticate saffron sample origins and their respective harvest years.
Results indicated untargeted metabolic fingerprinting employing UHPLC–HRMS/MS merged with chemometrics was a formidable tool for saffron origin scrutiny, providing sufficient information to distinguish saffron origin using positive ionization data. The method also showed promise when used to distinguish harvest year using negative ionization data.
References
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.
2024 EAS Awardees Showcase Innovative Research in Analytical Science
November 20th 2024Scientists from the Massachusetts Institute of Technology, the University of Washington, and other leading institutions took the stage at the Eastern Analytical Symposium to accept awards and share insights into their research.