Measuring and Predicting collision cross sect
Researchers at Auburn University are seeking ways to identify unknown compounds using collision cross section (CCS) measurements paired with prediction methods including computational models and machine learning. Nowadays, there is a high demand for fast and reliable detection of compounds using untargeted analyses. This is especially true for the diagnosis of various diseases. Usually, the detected compounds can have a variety of different structures which will make the detection process challenging. Therefore, they can have different effects on living organisms, which is why research in &qu...
Source: eurekalert.org
