Ambient sampling/ionization mass spectrometry: applications and current trends
G. A. Harris, A. S. Galhena, F. M. Fernández
doi.org/10.1021/ac200918uPublications
A selection of recent and frequently cited work. Our complete, always-current publication list and citation metrics live on Google Scholar.
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Among the lab's most-cited work, spanning ambient ionization, global-health medicine quality, instrumentation, the origins of life, and exercise biology.
G. A. Harris, A. S. Galhena, F. M. Fernández
doi.org/10.1021/ac200918uM. E. Monge, G. A. Harris, P. Dwivedi, F. M. Fernández
doi.org/10.1021/cr300309qP. N. Newton, M. D. Green, F. M. Fernández, N. P. J. Day, N. J. White
doi.org/10.1016/s1473-3099(06)70581-3A. Li, Y. Zi, H. Guo, Z. L. Wang, F. M. Fernández
doi.org/10.1038/nnano.2017.17J. A. Sanford, C. D. Nogiec, M. E. Lindholm, et al.
doi.org/10.1016/j.cell.2020.06.004J. G. Forsythe, S.-S. Yu, I. Mamajanov, M. A. Grover, R. Krishnamurthy, F. M. Fernández, et al.
doi.org/10.1002/anie.201503792P. N. Newton, M. D. Green, F. M. Fernández
doi.org/10.1016/j.tips.2009.11.005F. M. Fernández, R. B. Cody, M. D. Green, C. Y. Hampton, R. McGready, et al.
doi.org/10.1002/cmdc.200600041X. Ma, F. M. Fernández
doi.org/10.1002/mas.21804Dynamic remodeling in lipophilic metabolites during Coffea canephora maturation: a lipidomic study
M. V. V. Lyrio, J. V. M. de Almeida, E. C. Gier, S. G. Moore, et al. · Food Chemistry
doi.org/10.1016/j.foodchem.2026.149816Sexually distinct multi-omic responses to progressive endurance exercise training in the rat lung
G. M. Many, T. J. Sagendorf, H. Mitchell, J. A. Sanford, et al. · American Journal of Respiratory Cell and Molecular Biology
doi.org/10.1165/rcmb.2025-0249OCPreprintA Multimodal Workflow for Spatial Metabolic Neighborhood Mapping in Neural Rosette Cultures
O. N. Adebayo, A. Turaga, M. Chung, F. M. Fernández, M. L. Kemp · bioRxiv
doi.org/10.64898/2026.04.13.715964PreprintMulti-Omic, Multi-Tissue Responses to Acute Exercise in Sedentary Adults
MoTrPAC Study Group, D. H. Katz, C. A. Jin, G. M. Many, et al. · bioRxiv
doi.org/10.64898/2026.02.27.702183PreprintPFOA induced metabolic and immune perturbations in a SARS-2 infection model
D. N. Lanier, D. Rowe Haas, M. Uchimiya, C. Jones, et al. · bioRxiv
doi.org/10.64898/2026.02.21.707085Multi-omic identification of key transcriptional regulatory programs during endurance exercise training in rats
G. R. Smith, B. Zhao, M. E. Lindholm, A. N. Raja, et al. · Nature Communications
doi.org/10.1038/s41467-026-70397-0PreprintTemporal Multi-Omic Analysis Uncovers Sex-Biased Molecular Programs Underlying Skeletal Muscle Adaptation to Endurance Training
G. M. Many, C. Jin, N. Day, G. Iyer, et al. · bioRxiv
doi.org/10.64898/2025.12.26.696612Senescence-Induced Lipidome Alterations in Mesenchymal Stromal Cells
M. E. Ogle, J. Corstvet, R. K. Vayalakkara, F. M. Fernández, et al. · Journal of Proteome Research
doi.org/10.1021/acs.jproteome.5c00355Discovery of Na v 1.7 Inhibitors through the Screening of Marine Natural Product Extracts
A. H. Adewole, B. K. Chhetri, G. M. Abdelwahab, R. Bhanushali, et al. · Journal of Natural Products
doi.org/10.1021/acs.jnatprod.5c00978Multipass CCS Refiner: A Web Application for Accurate Collision Cross Section Calibration in Cyclic Ion Mobility-Mass Spectrometry
E. C. Gier, D. Leontyev, F. M. Fernández · Journal of the American Society for Mass Spectrometry
doi.org/10.1021/jasms.5c00199A Large Language Model–Powered Map of Metabolomics Research
O. O. Bifarin, V. S. Yelluru, A. Simhadri, F. M. Fernández · Analytical Chemistry
doi.org/10.1021/acs.analchem.5c01672A Spatial Metabolomics Annotation Workflow Leveraging Cyclic Ion Mobility and Machine Learning-Predicted Collision Cross Sections
D. Leontyev, E. C. Gier, V. A. Master, R. S. Arnold, et al. · Journal of the American Society for Mass Spectrometry
doi.org/10.1021/jasms.5c00090Beyond Targeted Newborn Screening: A Nontargeted Metabolomics Workflow to Investigate Birthweight–Metabolome Correlations
C. K. Asef, S. G. Moore, C. A. Pickens, C. A. Saavedra‐Matiz, et al. · Analytical Chemistry
doi.org/10.1021/acs.analchem.4c06061Toward Machine Learning Electrospray Ionization Sensitivity Prediction for Semiquantitative Lipidomics in Stem Cells
A. V. Grouw, M. A. Rainey, O. K. Reid, M. E. Ogle, et al. · Journal of Chemical Information and Modeling
doi.org/10.1021/acs.jcim.4c02040The impact of exercise on gene regulation in association with complex trait genetics
N. G. Vetr, N. R. Gay, S. B. Montgomery, et al. · Nature Communications
doi.org/10.1038/s41467-024-45966-wTriboelectric nanogenerators: Low-cost power supplies for improved electrospray ionization
D. D. Vallejo, J. L. Corstvet, F. M. Fernández · International Journal of Mass Spectrometry
doi.org/10.1016/j.ijms.2023.117167Triboelectric nanogenerator-coated blade spray mass spectrometry for volume-limited drug analysis
X. Ma, F. M. Fernández · International Journal of Mass Spectrometry
doi.org/10.1016/j.ijms.2023.117164Divergent skeletal muscle metabolomic signatures of different exercise training modes independently predict cardiometabolic risk factors
M. W. Pataky, A. P. Kumar, D. A. Gaul, S. G. Moore, et al. · Diabetes
doi.org/10.2337/db23-0142Metabolomics of Papanicolaou Tests for the Discovery of Ovarian Cancer Biomarkers
S. Sah, E. M. Schwiebert, S. G. Moore, Y. Liu, et al. · Metabolites
doi.org/10.3390/metabo14110600Applications of MALDI mass spectrometry in forensic science
C. M. D. Almeida, N. A. D. Santos, V. Lacerda, X. Ma, et al. · Analytical and Bioanalytical Chemistry
doi.org/10.1007/s00216-024-05470-yDesorption Electrospray Ionization Cyclic Ion Mobility-Mass Spectrometry Imaging for Traumatic Brain Injury Spatial Metabolomics
D. Leontyev, H. J. Olivos, B. Shrestha, P. M. D. Roy, et al. · Analytical Chemistry
doi.org/10.1021/acs.analchem.4c02394Investigation of MSC potency metrics via integration of imaging modalities with lipidomic characterization
P. Priyadarshani, A. V. Grouw, A. R. Liversage, K. Rui, et al. · Cell Reports
doi.org/10.1016/j.celrep.2024.114579Spatial lipidomics maps brain alterations associated with mild traumatic brain injury
D. Leontyev, A. N. Pulliam, X. Ma, D. A. Gaul, et al. · Frontiers in Chemistry
doi.org/10.3389/fchem.2024.1394064The mitochondrial multi-omic response to exercise training across rat tissues
D. Amar, N. R. Gay, D. Jimenez‐Morales, P. M. J. Beltran, et al. · Cell Metabolism
doi.org/10.1016/j.cmet.2023.12.021Temporal dynamics of the multi-omic response to endurance exercise training
MoTrPAC Study Group, D. Amar, N. R. Gay, P. M. J. Beltran, et al. · Nature
doi.org/10.1038/s41586-023-06877-wSexual dimorphism and the multi-omic response to exercise training in rat subcutaneous white adipose tissue
G. M. Many, J. Sanford, T. J. Sagendorf, Z. Hou, et al. · Nature Metabolism
doi.org/10.1038/s42255-023-00959-9Molecular adaptations in response to exercise training are associated with tissue-specific transcriptomic and epigenomic signatures
V. D. Nair, H. Pinças, G. R. Smith, E. Zaslavsky, et al. · Cell Genomics
doi.org/10.1016/j.xgen.2023.100421Automated Machine Learning and Explainable AI (AutoML-XAI) for Metabolomics: Improving Cancer Diagnostics
O. O. Bifarin, F. M. Fernández · Journal of the American Society for Mass Spectrometry
doi.org/10.1021/jasms.3c00403Molecular Transducers of Physical Activity Consortium (MoTrPAC): human studies design and protocol
MoTrPAC Study Group, J. M. Jakicic, W. M. Kohrt, J. A. Houmard, et al. · Journal of Applied Physiology
doi.org/10.1152/japplphysiol.00102.2024Triboelectric Nanogenerators for the Masses: A Low-Cost Do-It-Yourself Pulsed Ion Source for Sample-Limited Applications
C. K. Asef, D. D. Vallejo, F. M. Fernández · Journal of the American Society for Mass Spectrometry
doi.org/10.1021/jasms.4c00010Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women
S. Sah, O. O. Bifarin, S. G. Moore, D. A. Gaul, et al. · Cancer Epidemiology Biomarkers & Prevention
doi.org/10.1158/1055-9965.epi-23-1293Integrative Analysis of Cytokine and Lipidomics Datasets Following Mild Traumatic Brain Injury in Rats
A. N. Pulliam, A. F. Pybus, D. A. Gaul, S. G. Moore, et al. · Metabolites
doi.org/10.3390/metabo14030133metabCombiner 2.0: Disparate Multi-Dataset Feature Alignment for LC-MS Metabolomics
H. Habra, J. L. Meijer, T. Shen, O. Fiehn, et al. · Metabolites
doi.org/10.3390/metabo14020125The ineligibility barrier for international researchers in US academia
M. Elias, K. Sompiyachoke, F. M. Fernández, S. C. L. Kamerlin · EMBO Reports
doi.org/10.1038/s44319-023-00053-xUltrahigh resolution lipid mass spectrometry imaging of high-grade serous ovarian cancer mouse models
X. Ma, A. Botros, S. R. Yun, E. Y. Park, et al. · Frontiers in Chemistry
doi.org/10.3389/fchem.2023.1332816Comparing Brain and Blood Lipidome Changes following Single and Repetitive Mild Traumatic Brain Injury in Rats
A. N. Pulliam, E. C. Gier, D. A. Gaul, S. G. Moore, et al. · ACS Chemical Neuroscience
doi.org/10.1021/acschemneuro.3c00603Physiological Adaptations to Progressive Endurance Exercise Training in Adult and Aged Rats: Insights from the Molecular Transducers of Physical Activity Consortium (MoTrPAC)
S. Schenk, T. J. Sagendorf, G. M. Many, A. K. Lira, et al. · Function
doi.org/10.1093/function/zqae014Looking for everything? See the full publication record on Google Scholar →