TB detection
A new method has been developed for the identification and classification of various tuberculosis (TB) causing and non-TB Mycobacterium species on the basis of their characteristic metabolite profiles
A new method has been developed for the identification and classification of various tuberculosis (TB) causing and non-TB Mycobacterium species on the basis of their characteristic metabolite profiles.1
A modified Bligh-Dyer extraction procedure was used to extract lipid components from Mycobacterium tuberculosis, M. avium, M. bovis and M. kansasii cultures. Principle component analyses (PCA) were applied to the GC–MS generated data and showed a clear differentiation between all the species tested. The twelve compounds that best showed the variation between the sample groups were identified and classed as potential metabolite markers, using PCA and partial least-squares discriminant analysis (PLS–DA). These markers were then used to build a Bayesian statistical classification model. The model identified 2 ‘unknown’ samples for each of the Mycobacterium species analysed, with probabilities ranging from 72–100%.
The test had the advantage of speed and could be performed in under 16 h. The detection limit was 1 × 103 bacteria mL21.
The study concluded that there was potential for a GC–MS, metabolomics pattern recognition approach to be used in TB diagnosis.
1. D. Toots et al., Journal of Microbiological Methods, 88(3), 419–426 (2012).
This story originally appeared in The Column. Click here to view that issue.
Pittcon 2025: Xiao Su Discusses His Work in Electrochemical Separations
March 13th 2025In this video interview with Xiao Su, he dives deeper into the research that he and his team are conducting with redox-active polymers and the applicability of electrochemical approaches in separation science.
The Next Frontier for Mass Spectrometry: Maximizing Ion Utilization
January 20th 2025In this podcast, Daniel DeBord, CTO of MOBILion Systems, describes a new high resolution mass spectrometry approach that promises to increase speed and sensitivity in omics applications. MOBILion recently introduced the PAMAF mode of operation, which stands for parallel accumulation with mobility aligned fragmentation. It substantially increases the fraction of ions used for mass spectrometry analysis by replacing the functionality of the quadrupole with high resolution ion mobility. Listen to learn more about this exciting new development.
Pittcon 2025: Kate Perrault Uptmor Talks About Multidimensional GC and Mentorship
March 13th 2025In our interview with Kate Perrault Uptmor, we asked her about the resources available for those interested in learning more about multidimensional chromatography, and current trends happening in separation science that are of particular note.
Analyzing Effects of Adverse Cardiovascular Events on Chronic Kidney Disease with HPLC
March 13th 2025Researchers investigated the potential association between plasma apolipoprotein M (APOM) levels and the risk of adverse cardiovascular outcomes in individuals with chronic kidney disease (CKD). Plasma sphingosine-1-phosphate (S1P) levels were measured by high performance liquid chromatography (HPLC).
