The Fernandez group grabbed a group lunch to celebrate National Postdoc Appreciation Week 2023! Thanks to our postdocs for all the work they do!

Postdoctoral Fellows Nasreen Khan and Daniel Vallejo spearhead research for cultural heritage objects at Georgia Tech. Collaborating with MSE professor Mark Losego, The Mill Fellow Blake Moore, and MSE Postdoc Nicolas Somers to analyze fibers from papermaking artifacts in the Robert C. Williams Museum of Papermaking collection.

Read full article: https://lnkd.in/gxTJdmbM

Every year the Analytical Chemist publishes a list of faculty and research they believe are making significant changes in the field of Analytical Chemistry and the Measurement Sciences. Facundo made the list through his distinguished role as a Mentor and Educator. Congratulations Facundo!

Congratulations to Bif for winning this prestigious and competitive postdoctoral fellowship position at Georgia Tech.

Read more about this fellowship here

Francesc Labad Roig, a Graduate student at the Universitat de Barcelona, from Barcelona, Spain joins the group! He comes from the Consejo Superior de Investigaciones Científicas (CSIC) under the supervision of Dra. Sandra Pérez and Dr. Enric Vázquez. He will be here for almost six months (July-December) in order to use ion mobility instrumentation to separate and analyze very persistent and very mobile (vPvM) substances such as melamine or PFAs from urban waters (mainly groundwater) from Atlanta. The main instrumentation used will be the Synapt G2S coupled to a Q-ToF. This work is in the frame of the UPWATER project. Francesc is enjoying an FPI 2019 grant from the Spanish ministry.

Titled “Development of a Machine Learning Strategy for Quantitative Non-targeted Lipidomics” Alex gave a talk at the 2023 Metabolomics Society Meeting in Niagara Falls, Canada

This work lead by Alex Van Grouw entitled “Development of a Robust Consensus Modeling Approach for Identifying Cellular and Media Metabolites Predictive of Mesenchymal Stromal Cell Potency” published in Stem Cells establishes a generalizable framework for identifying consensus predictive metabolites that predict MSC function, as well as guiding future MSC manufacturing efforts through identification of high-potency MSC lines and metabolic engineering.

https://doi.org/10.3390/cancers14092262

This work lead by Daniel Vallejo entitled “Native triboelectric nanogenerator ion mobility-mass spectrometry of egg proteins relevant to objects of cultural heritage at picoliter and nanomolar quantities” published in Analytica Chemica Acta demonstrates that triboelectric nanogenerators (TENG) can generate protein ions suitable for native mass spectrometry at nanomolar and picoliter quantities, and its potential applications towards cultural heritage research. Check it out using the link below:

https://doi.org/10.3390/cancers14092262

This work lead by Olatomiwa Bifarin, Samyukta Sah, David Gaul, and Samuel Moore entitled “Machine Learning Reveals Lipidome Remodeling Dynamics in a Mouse Model of Ovarian Cancer” published in Journal of Proteome Research tracks the alterations in the metabolome of mice models using machine learning and demonstrates how differences in metabolite flux between ovarian cancer severity/outcome can be leveraged to develop more accurate early detection methodologies. Check it out using the link below:

https://doi.org/10.3390/cancers14092262

Carter Asef began a 12-week experiential internship program at Abbvie Pharmaceuticals in the analytical R&D division. His research project will involve using recently published techniques [1] to perform ion molecule reactions for the structural elucidation of nitrosamine compounds.

A Diagnostic Nitrosamine Detection Approach for Pharmaceuticals by Using Tandem Mass Spectrometry Based on Diagnostic Gas-Phase Ion-Molecule Reactions

Judy Kuan-Yu Liu, Erlu Feng, Yue Fu, Wanru Li, Xin Ma, Huaming Sheng, John Kong, Yong Liu, Michael Hicks, Bangping Xiang, Zhijian Liu, Justin Pennington, and Hilkka I. Kenttämaa

Analytical Chemistry 2022 94 (40), 13795-13803

DOI: 10.1021/acs.analchem.2c02282