This work lead by Carter Asef and Markace Rainey entitled “Unknown Metabolite Identification Using Machine Learning Collision Cross-Section Prediction and Tandem Mass Spectrometry” published in Analytical Chemistry demonstrates that ion mobility is capable of providing both high error, but also highly accurate filters through collision cross section measurements for metabolite annotation. Check it out using the link below:

https://doi.org/10.3390/cancers14092262

This work lead by Markace Rainey and Carter Asef entitled “CCS Predictor 2.0: An Open-Source Jupyter Notebook Tool for Filtering Out False Positives in Metabolomics” published in Analytical Chemistry provides an open source Jupyter Notebook format for prediction high accuracy collision cross section measurements and predictions for metabolites. Check it out using the link below:

https://doi.org/10.3390/cancers14092262

Daniel visited the University of Bordeaux in Professor Caroline Tokarski’s group under the Nerem International Travel Award through IBB at Georgia Tech. During his time at UBordeaux he learned state-of-the-art Top-down, HDX, and MALDI applications towards objects of cultural heritage such as paintings and gums to support his ongoing NSF funded projects.

A warm welcome to our newest graduate student Jada Gray!

This work by Xin MA entitled “Advances in mass spectrometry imaging for spatial cancer metabolomics” published in Mass Spectrometry Reviews provides a comprehensive review of the fundamentals, recent advancements in imaging applications generally as well as with particular interest in cancer research, and the implementation of emerging research fields such as machine learning/artificial intelligence. Check it out using the link below:

https://doi.org/10.3390/cancers14092262

Congratulations to Facundo for his reappointment for this esteemed position at Georgia Tech!

Read more about the College of Sciences announcement here

Congratulations to Emily for being awarded a full travel award to participate in the annual Targeted Mass Spectrometry Course at the University of Washington – was held June 27- July 1, 2022, and for the first time in three years the course was in-person! This course offered a focus on methods and approaches of targeted MS. For mor information click here

This work lead by Samyukta Sah entitled “Targeted Microchip Capillary Electrophoresis-Orbitrap Mass Spectrometry Metabolomics to Monitor Ovarian Cancer Progression” in Metabolites aims to develop new targeted biomarker assays for screening of high-grade serous carcinomas for the early detection of ovarian cancer. Check it out using the link below:

https://doi.org/10.3390/cancers14092262

This work in collaboration with Erin Baker titled “Uncovering PFAS and Other Xenobiotics in the Dark Metabolome Using Ion Mobility Spectrometry, Mass Defect Analysis, and Machine Learning” in Environmental Science & Technology identifies features specifice to PFAS, but reveals that there are still many unknowns in untargeted studies, but by incorporating xenobiotics more confident annotations can be achieved. Check it out using the link below:

https://doi.org/10.3390/cancers14092262

A warm welcome to our newest postdoctoral researcher Ziad Mahmoud who will be doing some exciting research on chemical evolution of polymeric systems.