ERROR 1
ERROR 1
ERROR 2
ERROR 2
ERROR 2
ERROR 2
ERROR 2
Password and Confirm password must match.
If you have an ACS member number, please enter it here so we can link this account to your membership. (optional)
ERROR 2
ACS values your privacy. By submitting your information, you are gaining access to C&EN and subscribing to our weekly newsletter. We use the information you provide to make your reading experience better, and we will never sell your data to third party members.
Proteomics researchers rely heavily on a technique called matrix-assisted laser desorption/ionization (MALDI) mass spectrometry to analyze proteins, but this workhorse method is no stallion for scientists curious about small metabolites in their sample, such as the fatty acids. This is because data from small metabolites get lost in a "haystack" of signals that come from laser ionization of the solid matrix formed by cocrystallizing small amounts of the sample with support material. So a team led by Aleš Svatoš of the Max Planck Institute for Chemical Ecology, in Jena, Germany, decided to "remove the haystack." Using Brønsted-Lowry acid-base theory, the team developed a dimethylaminonaphthalene matrix that doesn't produce ions when irradiated and thus does not add experimental noise to the data (Proc. Natl. Acad. Sci. USA, DOI: 10.1073/pnas.0900914106). Proof of principle for the new matrix was demonstrated by looking at the metabolites produced when a leaf is cut and the metabolites produced by male and female flies. When using the new approach with existing MALDI instruments, researchers "should be able to perform high-throughput metabolomics 10 times faster than before," Svatoš notes.
Join the conversation
Contact the reporter
Submit a Letter to the Editor for publication
Engage with us on X