= Discovery stage. (17.55%, 2019 US)
= Translation stage. (42.72%, 2019 US)
= Clinically available. (39.74%, 2019 US)
MSACL 2019 US : Li

MSACL 2019 US Abstract

Self-Classified Topic Area(s): Metabolomics

Sub-Microliter Metabolomics via Inductive Triboelectric Nanogenerator Mass Spectrometry

Yafeng Li1, Marcos Bouza Areces1, Changsheng Wu2, Danning Huang1, Gilad Doron3, Johnna S. Temenoff 3,4, Arlene A. Stecenko5, Zhong Lin Wang2,6, Facundo M. Fernández1,7
(1)School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, USA. (2)School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. (3) W.H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 315 Ferst Drive, Atlanta, GA 30332, (4) Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, 315 Ferst Drive, Atlanta, GA 30332 (5)Emory+Children


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 Yafeng Li (Presenter)
Georgia Institute of Technology

Presenter Bio: Dr. Yafeng Li, currently a post-doc in Prof. Facundo Fernandez's lab in Georgia Institute of Technology. I got my PhD degree in Institute of Chemistry, Chinese Academy of Sciences.During my PhD study, I spent one year and three months in Graham Cooks's lab as a visiting student.My research interest is developing and using all kinds of ionization techniques to tackle all kinds of problems.

Relevant Financial Disclosures (within past 24 months)
No relevant financial relationship(s) to disclose.

Abstract

We here demonstrate a new technology for performing metabolomic studies on volume-limited samples such as exhaled breath condensate (EBC) and stem cell cultures, where maximum sensitivity is a must. This technology involves a new ultra-sensitive approach named inductive triboelectric nanogenerator (TENGi) nanoelectrospray mass spectrometry (MS), coupled to internal standard to help control between-scan variance and guarantee spectral consistency. Using this technique, proof-of-concept metabolic fingerprinting EBC from cystic fibrosis prediabetes patients and mesenchymal stem cells (MSCs) was performed successfully with as little as 0.8 µL per test. This technology will likely enable the investigation of a variety of biological samples that have so far remained elusive by standard metabolomic approaches.