Investigating sensory-classified roasted arabica coffee with GC × GC-TOFMS and chemometrics to understand potato taste defect

Cain, Caitlin N.; Gaida, Meriem; Stefanuto, Pierre-Hugues; Focant, Jean-François; Synovec, Robert E.; Jackels, Susan C.; Skogerboe, Kristen J.

doi:10.1016/j.microc.2023.109578

Microchemical Journal

2024

DOI: 10.1016/j.microc.2023.109578

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Investigating sensory-classified roasted arabica coffee with GC × GC-TOFMS and chemometrics to understand potato taste defect

Caitlin N. Cain,

Meriem Gaida,

Pierre-Hugues Stefanuto

et al.

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2024

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Cited by 2 publications

References 62 publications

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Simultaneous discovery of compounds dominated by either molding kinetics or geographical region of origin for moisture damaged cacao beans using orthogonally applied tile-based fisher ratio analysis of GC×GC-TOFMS data

Mikaliunaite,

Synovec

2024

Journal of Chromatography A

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Simultaneous discovery of compounds dominated by either molding kinetics or geographical region of origin for moisture damaged cacao beans using orthogonally applied tile-based fisher ratio analysis of GC×GC-TOFMS data

Mikaliunaite,

Synovec

2024

Journal of Chromatography A

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Exploring accurate mass measurements in pixel-based chemometrics: Advancing coffee classification with GC-HRMS—A proof of concept study

Paiva,

Teixeira,

Hantao

2024

Journal of Chromatography A

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Investigating sensory-classified roasted arabica coffee with GC × GC-TOFMS and chemometrics to understand potato taste defect

Cited by 2 publications

References 62 publications

Simultaneous discovery of compounds dominated by either molding kinetics or geographical region of origin for moisture damaged cacao beans using orthogonally applied tile-based fisher ratio analysis of GC×GC-TOFMS data

Simultaneous discovery of compounds dominated by either molding kinetics or geographical region of origin for moisture damaged cacao beans using orthogonally applied tile-based fisher ratio analysis of GC×GC-TOFMS data

Exploring accurate mass measurements in pixel-based chemometrics: Advancing coffee classification with GC-HRMS—A proof of concept study

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