Exploring chemical markers related to the acceptance and sensory profiles of concentrated liquid coffees an untargeted metabolomics approach

In this study, we aimed to apply an untargeted LC/QTOF-MS analysis for the identification of compounds that positively and negatively affect the acceptance of coffee beverages from liquid coffee concentrates (CLCs) before and after storage. The metabolomic results were integrated with physicochemica...

Full description

Autores:
Zapata Ochoa, Julián Andrés
Quintero Ortiz, Mónica María
Santander, María José
Velásquez, Sebastián
Cala Molina, Mónica Patricia
Tipo de recurso:
Article of investigation
Fecha de publicación:
2022
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/46203
Acceso en línea:
https://hdl.handle.net/10495/46203
Palabra clave:
Cromatografía Líquida de Alta Presión
Chromatography, High Pressure Liquid
Café - química
Coffee - chemistry
Análisis de los Mínimos Cuadrados
Least-Squares Analysis
Odorantes
Odorants
Evaluación sensorial de alimentos
Food - Sensory evaluation
HPLC
Mass spectrometry
Espectrometría de masas
Metabolomics
Metabolómica
Larga duración en almacén
Análisis organoléptico
Organoleptic analysis
http://aims.fao.org/aos/agrovoc/c_24469
http://aims.fao.org/aos/agrovoc/c_12421
http://aims.fao.org/aos/agrovoc/c_bb2cc69f
http://aims.fao.org/aos/agrovoc/c_16006
https://id.nlm.nih.gov/mesh/D002851
https://id.nlm.nih.gov/mesh/D002851
https://id.nlm.nih.gov/mesh/D003069
https://id.nlm.nih.gov/mesh/D016018
https://id.nlm.nih.gov/mesh/D009812
Rights
openAccess
License
http://creativecommons.org/licenses/by/4.0/
Description
Summary:In this study, we aimed to apply an untargeted LC/QTOF-MS analysis for the identification of compounds that positively and negatively affect the acceptance of coffee beverages from liquid coffee concentrates (CLCs) before and after storage. The metabolomic results were integrated with physicochemical and sensory parameters, such as color, pH, titratable acidity, and oxygen contents, by a bootstrapped version of partial least squares discriminant analysis (PLS-DA) to select and classify the most relevant variables regarding the rejection or acceptance of CLC beverages. The OPLS-DA models for metabolite selection discriminated between the percent sensory acceptance (the Accepted group) and rejection (the Rejected group). Eighty-two molecular features were considered statistically significant. Our data suggest that coffee sample rejection is associated with chlorogenic acid hydrolysis to produce ferulic and quinic acids, consequently generating methoxybenzaldehydes that impact the perceived acidity and aroma. Furthermore, acceptance was correlated with higher global scores and sweetness, as with lactones such as feruloyl-quinolactone, caffeoyl quinolactone, and 4-caffeoyl-1,5-quinolactone, and significant oxygen levels in the headspace