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Gaida Meriem

MolSys

See author's contact details
ORCID
0000-0003-4932-472X
Main Referenced Co-authors
Focant, Jean-François  (19)
Stefanuto, Pierre-Hugues  (16)
Franchina, Flavio  (8)
Bhatt, Kinjal  (6)
Dejong, Thibaut  (3)
Main Referenced Keywords
Analytical Chemistry (4); Retention time prediction (3); Thermodynamic modeling (3); Analytes (2); Comprehensive two-dimensional gas chromatography (2);
Main Referenced Unit & Research Centers
OBiAChem (1)
ObiAChem (1)
Université de Liège (1)
Main Referenced Disciplines
Chemistry (22)

Publications (total 22)

The most downloaded
141 downloads
Zou, Y.* , Gaida, M.* , Franchina, F., Stefanuto, P.-H., & Focant, J.-F. (10 March 2022). Distinguishing between Decaffeinated and Regular Coffee by HS-SPME-GC×GC-TOFMS, Chemometrics, and Machine Learning. Molecules, 27 (6), 1806. doi:10.3390/molecules27061806 https://hdl.handle.net/2268/289551

The most cited

23 citations (Scopus®)

Zou, Y.* , Gaida, M.* , Franchina, F., Stefanuto, P.-H., & Focant, J.-F. (10 March 2022). Distinguishing between Decaffeinated and Regular Coffee by HS-SPME-GC×GC-TOFMS, Chemometrics, and Machine Learning. Molecules, 27 (6), 1806. doi:10.3390/molecules27061806 https://hdl.handle.net/2268/289551

Cain, C. N., Gaida, M., Stefanuto, P.-H., Focant, J.-F., Synovec, R. E., Jackels, S. C., & Skogerboe, K. J. (2024). Investigating sensory-classified roasted arabica coffee with GC × GC-TOFMS and chemometrics to understand potato taste defect. Microchemical Journal, 196, 109578. doi:10.1016/j.microc.2023.109578
Peer Reviewed verified by ORBi

Gaida, M., Stefanuto, P.-H., & Focant, J.-F. (22 November 2023). Theoretical modeling and machine learning-based data processing workflows in comprehensive two-dimensional gas chromatography-A review. Journal of Chromatography. A, 1711, 464467. doi:10.1016/j.chroma.2023.464467
Peer Reviewed verified by ORBi

Gaida, M., Cain, C. N., Synovec, R. E., Focant, J.-F., & Stefanuto, P.-H. (12 September 2023). Tile-Based Random Forest Analysis for Analyte Discovery in Balanced and Unbalanced GC × GC-TOFMS Data Sets. Analytical Chemistry, 95 (36), 13519 - 13527. doi:10.1021/acs.analchem.3c01872
Peer Reviewed verified by ORBi

Gaida, M. (2023). Advanced Theoretical Modeling Approaches and Innovative Data Processing Workflows in GC×GC-ToF-MS [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/306389

Gaida, M., Cain, C., Synovec, R., Focant, J.-F., & Stefanuto, P.-H. (June 2023). Going deeper in tile-based processing for complex GC×GC-TOFMS datasets [Paper presentation]. 2nd advanced separation science workshop, Gembloux, Belgium.
Editorial reviewed

Stefanuto, P.-H., Dejong, T., Massenet, T., Bhatt, K., Gaida, M., & Focant, J.-F. (2023). Tackling the problem of data processing reproducibility in multidimensional chromatography by developing a metabolomics reference data set [Paper presentation]. Metabolomics 2023.
Peer reviewed

Stefanuto, P.-H., Caitlin Cain, Robert Synovec, Focant, J.-F., & Gaida, M. (2023). Going deeper in tile-based processing for complex GC×GC-TOFMS datasets [Paper presentation]. 2nd Separation Science Workshop.
Editorial reviewed

Gaida, M., Franchina, F., Stefanuto, P.-H., & Focant, J.-F. (13 December 2022). Top-Down Approach to Retention Time Prediction in Comprehensive Two-Dimensional Gas Chromatography-Mass Spectrometry. Analytical Chemistry, 94 (49), 17081 - 17089. doi:10.1021/acs.analchem.2c03107
Peer Reviewed verified by ORBi

Gaida, M., Zou, Y., Franchina, F. A., Stefanuto, P.-H., & Focant, J.-F. (02 June 2022). Distinguishing between Decaffeinated and Regular Coffee by HS-SPME-GC×GC-ToF-MS, Chemometrics, and Machine Learning [Paper presentation]. 19th International GCxGC Symposium.
Peer reviewed

Gaida, M., Flavio A. Franchina, Stefanuto, P.-H., & Focant, J.-F. (19 May 2022). Modeling the GCxGC separation as individual subsystems: focus on the second-dimension retention times [Paper presentation]. 17th International Symposium on Hyphenated Techniques in Chromatography and Separation Technology, Gand, Belgium.
Peer reviewed

Stefanuto, P.-H., Dejong, T., Massenet, T., Bhatt, K., Gaida, M., & Focant, J.-F. (May 2022). Tackling the challenges of untargeted microbiome research using multidimensional chromatography [Paper presentation]. 19th virtual GCxGC symposium, Canada.
Peer reviewed

Zou, Y.* , Gaida, M.* , Franchina, F., Stefanuto, P.-H., & Focant, J.-F. (10 March 2022). Distinguishing between Decaffeinated and Regular Coffee by HS-SPME-GC×GC-TOFMS, Chemometrics, and Machine Learning. Molecules, 27 (6), 1806. doi:10.3390/molecules27061806
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Gaida, M., Franchina, A. F., Stefanuto, P.-H., & Focant, J.-F. (01 February 2022). Modeling the GC×GC separation as individual subsystems under vacuum outlet conditions [Paper presentation]. 13th Multidimensional Chromatography Virtual Workshop, Sart-tilman (Liège), Belgium.
Peer reviewed

Gaida, M. (December 2021). No Prize for Second Place? The Analytical Scientist, 102.
Editorial reviewed

Gaida, M., Franchina, F. A., Stefanuto, P.-H., & Focant, J.-F. (October 2021). Development of a theoretical model to predict retention times in gas chromatography [Poster presentation]. 14ème Congrès Francophone sur les Sciences Séparatives et les Couplages de l'AFSEP, Paris, France.

Gaida, M., Franchina, F., Stefanuto, P.-H., & Focant, J.-F. (28 May 2021). Modeling approaches for temperature-programmed gas chromatographic retention times under vacuum outlet conditions. Journal of Chromatography. A, 1651, 1-10. doi:10.1016/j.chroma.2021.462300
Peer Reviewed verified by ORBi

Stefanuto, P.-H., Dubois, L., Zanella, D., Gaida, M., Bhatt, K., Dejong, T., Zou, Y., Beccaria, M., Lazzari, E., Weggler, B., Franchina, F., & Focant, J.-F. (May 2021). Recent Applications of Volatolomics [Paper presentation]. JRC Jeunes Chimistes.

Gaida, M., Franchina, F., & Focant, J.-F. (02 February 2021). Modeling the GCxGC separation as individual subsystems under vacuum outlet conditions: First dimension retention time predictions [Poster presentation]. 12 Multidimensional Chromatography Workshop.

Dubois, L., Bhatt, K., Franchina, F., Gaida, M., Stefanuto, P.-H., Weggler, B., Zanella, D., & Focant, J.-F. (08 January 2020). Moving out of the classroom for a comprehensive evaluation of GC×GC Software [Paper presentation]. Multidimensional Chromatography (MDC) Workshop, Honolulu, United States.

Gaida, M., Bhatt, K., Franchina, F., Weggler, B., & Focant, J.-F. (January 2020). Optimization of a multidimensional gas chromatographic separation. Classical steps toward a better characterization of the separation space [Poster presentation]. 16th International Symposium on Hyphenated Techniques in Chromatography and Separation Technology (HTC 2020), Ghent, Belgium.

Bhatt, K., Gaida, M., Franchina, F., Weggler, B., & Focant, J.-F. (January 2020). Can Increased Instrumental Sensitivity Replace Extensive Sample Preparation? [Poster presentation]. HTC 2020, GHENT, Belgium.

Gaida, M. (2019). Photoabsorption and Photoelectron Spectra of Trichloroethylene and Tetrachloroethylene: A joint experimental and theoretical approach [Master’s dissertation, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/243895

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