TY - JOUR
T1 - Coffee-roasting variables associated with volatile organic profiles and sensory evaluation using multivariate analysis
AU - Catão, Alexandre A.
AU - Mateus, Nathan de S.
AU - Garcia, Cinthia da C.
AU - da Silva, Michelle C.
AU - Novaes, Fabio J.M.
AU - Alves, Simone
AU - Marriott, Philip J.
AU - da Silva, Ademário I.
N1 - Funding Information:
The authors thank Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Atilla Industrial Ltda. and Sítio Bela Vista for their support. The picture of the coffee sensory lab in the Graphical Abstract of Supplementary Material was kindly bestowed by Academia do Café. Garcia et al. (2018) – * in References – details experimental planning and roasting conditions that generated samples for this work. Other highlighted references informed similar experimental conditions for chromatographic analysis.
Funding Information:
The authors thank Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Atilla Industrial Ltda. and Sítio Bela Vista for their support. The picture of the coffee sensory lab in the Graphical Abstract of Supplementary Material was kindly bestowed by Academia do Café.
Publisher Copyright:
© 2022 The Authors
PY - 2022/12
Y1 - 2022/12
N2 - A multivariate analysis investigated the operational variables of a professional roaster, the volatile chemical composition of roasted specialty coffee and how they correlate with the sensory evaluation of the final beverage, which directly affects the commercial value of the product. The experimental planning elicited 38 distinct roasting profiles that variegate (i) drum initial temperature (160 and 200 °C); (ii) drum air-flow ventilation opening (25-50-100 and 25-75-100 % – numbers show the percentage of opening for ventilation throughout the roasting); (iii) drum rotation speed (40 and 65 rpm); (iv) fuel gas flow/pressure increase into burners (0.5 and 1.0 mbar min−1); (v) roasting time after bean cracking (1.0 and 2.0 min). After roasting, 108 volatile organic compounds (VOC) were measured by SPME-GC-MS in the aroma of the roasted coffees. Principal component analysis (PCA) correlated VOC profiles, the operational variables of the coffee roaster and sensory evaluation. PCA from either sensory or chemical analysis data indicated “time after bean cracking” as the major influence and 30 seconds are enough to diminish a couple of points in coffee quality within the Specialty Coffee Association classification. The interaction between variables “fuel increase ramp” and “time after bean cracking” also altered VOC profiles and separated distinct roasting groups. PCA from chemical analysis delivered better separation between sample sets than PCA from sensory evaluation concerning either “time after bean cracking” or the interaction “fuel increase ramp” versus “time after bean cracking”. The coupling of sensory, chemical and operational data and their interpretation through multivariate analysis can improve the knowledge of how the operational procedures affect the final quality of coffee.
AB - A multivariate analysis investigated the operational variables of a professional roaster, the volatile chemical composition of roasted specialty coffee and how they correlate with the sensory evaluation of the final beverage, which directly affects the commercial value of the product. The experimental planning elicited 38 distinct roasting profiles that variegate (i) drum initial temperature (160 and 200 °C); (ii) drum air-flow ventilation opening (25-50-100 and 25-75-100 % – numbers show the percentage of opening for ventilation throughout the roasting); (iii) drum rotation speed (40 and 65 rpm); (iv) fuel gas flow/pressure increase into burners (0.5 and 1.0 mbar min−1); (v) roasting time after bean cracking (1.0 and 2.0 min). After roasting, 108 volatile organic compounds (VOC) were measured by SPME-GC-MS in the aroma of the roasted coffees. Principal component analysis (PCA) correlated VOC profiles, the operational variables of the coffee roaster and sensory evaluation. PCA from either sensory or chemical analysis data indicated “time after bean cracking” as the major influence and 30 seconds are enough to diminish a couple of points in coffee quality within the Specialty Coffee Association classification. The interaction between variables “fuel increase ramp” and “time after bean cracking” also altered VOC profiles and separated distinct roasting groups. PCA from chemical analysis delivered better separation between sample sets than PCA from sensory evaluation concerning either “time after bean cracking” or the interaction “fuel increase ramp” versus “time after bean cracking”. The coupling of sensory, chemical and operational data and their interpretation through multivariate analysis can improve the knowledge of how the operational procedures affect the final quality of coffee.
KW - Coffee cup quality
KW - Key flavouring compounds
KW - Principal component analysis
KW - Roaster operational variables
KW - SPME-GC-MS
UR - https://www.scopus.com/pages/publications/85139863489
U2 - 10.1016/j.afres.2022.100223
DO - 10.1016/j.afres.2022.100223
M3 - Article
AN - SCOPUS:85139863489
SN - 2772-5022
VL - 2
JO - Applied Food Research
JF - Applied Food Research
IS - 2
M1 - 100223
ER -