Article (Scientific journals)
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 et al.
2024In Microchemical Journal, 196, p. 109578
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Keywords :
Chemometrics; Coffee; Comprehensive two-dimensional gas chromatography-mass spectrometry; Fisher ratio analysis; Partial least squares regression; Potato taste defect; Principal components analysis; Analytical Chemistry; Spectroscopy
Abstract :
[en] The presence of flavor defects in coffee beans can negatively impact quality, the consumer experience, and commercial trade. Potato taste defect (PTD), a flavor defect specific to East African coffee, is often characterized by a musty, vegetable-like aroma. While previous work has correlated PTD with the presence of 2-isopropyl-3-methoxypyrazine (IPMP), additional changes in the volatile profile of these beans can further amplify the distinct odor of this defect. The aim of this work was to develop a volatile fingerprint of PTD in roasted arabica coffee using headspace solid-phase microextraction coupled to comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (HS-SPME-GC × GC-TOFMS) and chemometrics. Examination of the HS-SPME-GC × GC-TOFMS data with tile-based Fisher ratio (F-ratio) analysis discovered 359 analytes that differentiated clean coffee samples from those impacted by severe PTD (p-value < 0.01). It was determined that 327 of the identified analytes were more prevalent in the clean coffee samples while 32 analytes, including IPMP, exhibited higher signals in the impacted coffee samples. Principal components analysis (PCA) of the F-ratio results demonstrated that the coffee samples clustered based on the presence of PTD. Partial least squares (PLS) regression modeling further demonstrated that the compounds discovered by F-ratio analysis were correlated with PTD by accurately predicting the concentration of IPMP in the samples. Investigation of the compounds highly weighted in both the PCA and PLS loadings suggest that the presence of microorganisms on coffee beans after antestia bug damage could be a potential pathway for PTD. This damage results in an overall decrease of analytes that are known to have positive sensory contributions to coffee aroma. Collectively, the volatile fingerprint shown herein illustrates that PTD alters the biochemical process in coffee beans.
Disciplines :
Chemistry
Author, co-author :
Cain, Caitlin N. ;  Department of Chemistry, University of Washington, Seattle, United States
Gaida, Meriem  ;  Université de Liège - ULiège > Molecular Systems (MolSys)
Stefanuto, Pierre-Hugues  ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique, organique et biologique
Focant, Jean-François  ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique, organique et biologique
Synovec, Robert E.;  Department of Chemistry, University of Washington, Seattle, United States
Jackels, Susan C.;  Department of Chemistry, Seattle University, Seattle, United States
Skogerboe, Kristen J.;  Department of Chemistry, Seattle University, Seattle, United States
Language :
English
Title :
Investigating sensory-classified roasted arabica coffee with GC × GC-TOFMS and chemometrics to understand potato taste defect
Publication date :
2024
Journal title :
Microchemical Journal
ISSN :
0026-265X
eISSN :
1095-9149
Publisher :
Elsevier Inc.
Volume :
196
Pages :
109578
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
NSF - National Science Foundation [US-VA]
Funding text :
C. N. Cain acknowledges the U.S. National Science Foundation Graduate Research Fellowship (DGE-1762114). The authors also thank Counter Culture Coffee for performing the olfactory analysis and providing all of the sorted coffee samples.
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