A group of collaborating researchers in Brazil has increased the instrumental throughput of a gas chromatography-flame ionization detection (GC-FID) method by a factor of 2.6 without instrumental modification.1
A group of collaborating researchers in Brazil has increased the instrumentalthroughput of a gas chromatography–flame ionization detection (GC–FID)method by a factor of 2.6 without instrumental modification.1 The studypublished in the Journal of Chromatography A presents a new method forthe determination of friedelan-3-ol and friedelin in the leaves of Maytenusilicifolia. Maytenus ilicifolia is a Brazilian medicinal plant used in the treatmentof gastritis and gastric ulcers.
There is increasing pressure to reduce the cost of sample analysis throughoutthe chromatography industry. Recent developments allowing the refinementof furnace temperature controls, reduction in column lengths, and improveddata management systems have led to reduced analysis times but there is stillroom for improvement.
The researchers used a multiple injection in a single experimental run(MISER) approach to increase the throughput of the GC–FID method. This isnot a new idea according to the authors, and analysis has previously beenrestricted to drug analysis. Pharmaceutical formulations are relatively simplesamples in that they produce a small number of peaks, and it has been unclearuntil now whether this method is transferrable to complex mixtures.MISER with GC–FID was performed to analyse the levels of two triterpenes,friedelan-3-ol and friedelin, in the leaves of Maytenus ilicifolia. When using thismethod, the authors reported an increase in instrumental throughput whencompared to a single injection method. Single injection analysis allowed theanalysis of 5 samples per hour, whereas the proposed method allowed analysisof 13 samples per hour.
The results are promising for the further improvement of instrumentalthroughput. The authors report that the method can be used withany conventional equipment without modification, but that it could beimplemented with more selective detection techniques to further improvethroughput.
Reference
1. J.P. Vustuba et al, J. Chromatogr. A. 1274, 159–164 (2013).
This story originally appeared in The Column. Click here to view that issue.
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.
Inside the Laboratory: The Richardson Group at the University of South Carolina
November 20th 2024In this edition of “Inside the Laboratory,” Susan Richardson of the University of South Carolina discusses her laboratory’s work with using electron ionization and chemical ionization with gas chromatography–mass spectrometry (GC–MS) to detect DBPs in complex environmental matrices, and how her work advances environmental analysis.
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.
Infographic: Be confidently audit ready, at any time and reduce failures in pharma QC testing
November 20th 2024Discover how you can simplify the audit preparation process with data integrity dashboards that provide transparency to key actions, and seamlessly track long-term trends and patterns, helping to prevent system suitability failures before they occur with waters_connect Data Intelligence software.
Critical Role of Oligonucleotides in Drug Development Highlighted at EAS Session
November 19th 2024A Monday session at the Eastern Analytical Symposium, sponsored by the Chinese American Chromatography Association, explored key challenges and solutions for achieving more sensitive oligonucleotide analysis.