Characterization and discrimination of volatile compounds in roasted Arabica coffee beans from different origins by combining GC-TOFMS GC-IMS, and GC-E-Nose

被引:0
作者
Shi, Xueying [1 ,2 ]
Li, Yue [1 ,2 ]
Huang, Dejian [3 ]
Chen, Shangwei [4 ]
Zhu, Song [1 ,2 ]
机构
[1] Jiangnan Univ, State Key Lab Food Sci & Resources, Wuxi 214122, Jiangsu, Peoples R China
[2] Jiangnan Univ, Sch Food Sci & Technol, Wuxi 214122, Jiangsu, Peoples R China
[3] Natl Univ Singapore, Dept Food Sci & Technol, Singapore 117543, Singapore
[4] Jiangnan Univ, Anal & Testing Ctr, Wuxi 214122, Jiangsu, Peoples R China
关键词
Roasted coffee beans; Volatile compounds; Different origins; GC-TOFMS; GC-IMS; GC; E; -nose; ODOR ACTIVITY VALUE; GAS-CHROMATOGRAPHY; SENSORY PROPERTIES; MASS-SPECTROMETRY; ELECTRONIC NOSE; AROMA; MS; PROFILES;
D O I
10.1016/j.foodchem.2025.144079
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
The origin of coffee beans plays a pivotal role in shaping the flavor profile of roasted coffee. In this study, roasted coffee beans from eight distinct origins were comprehensively characterized for their volatile compounds using gas chromatography-time-of-flight mass spectrometry (GC-TOFMS), gas chromatography-ion mobility spectrometry (GC-IMS), and gas chromatography-electronic nose (GC-E-Nose). GC-TOFMS identified a total of 168 volatile compounds, with odor activity value (OAV) analysis determined 34 key aroma compounds (OAV > 1) and variable importance projection (VIP) analysis screened 12 key differential volatile compounds. GC-IMS identified 105 volatile compounds and further achieved satisfactory differentiation of coffee from different origins using partial least squares discriminant analysis (PLS-DA). GC-E-Nose further identified volatile compounds with distinct variations across different origins, allowing for the rapid identification of coffee samples. These technologies, coupled with multivariate statistical analysis, enabled a comprehensive characterization of flavor compounds and their variations in roasted coffee beans from different origins.
引用
收藏
页数:10
相关论文
共 31 条
[1]   Climatic factors directly impact the volatile organic compound fingerprint in green Arabica coffee bean as well as coffee beverage quality [J].
Bertrand, B. ;
Boulanger, R. ;
Dussert, S. ;
Ribeyre, F. ;
Berthiot, L. ;
Descroix, F. ;
Joet, T. .
FOOD CHEMISTRY, 2012, 135 (04) :2575-2583
[2]   Coffee aroma: Chemometric comparison of the chemical information provided by three different samplings combined with GC-MS to describe the sensory properties in cup [J].
Bressanello, Davide ;
Liberto, Erica ;
Cordero, Chiara ;
Rubiolo, Patrizia ;
Pellegrino, Gloria ;
Ruosi, Manuela R. ;
Bicchi, Carlo .
FOOD CHEMISTRY, 2017, 214 :218-226
[3]   Neapolitan coffee brew chemical analysis in comparison to espresso, moka and American brews [J].
Caporaso, Nicola ;
Genovese, Alessandro ;
Canela, Mariana D. ;
Civitella, Alberto ;
Sacchi, Raffaele .
FOOD RESEARCH INTERNATIONAL, 2014, 61 :152-160
[4]   Aroma quality evaluation of Dianhong black tea infusions by the combination of rapid gas phase electronic nose and multivariate statistical analysis [J].
Chen, Jiayu ;
Yang, Yanqin ;
Deng, Yuliang ;
Liu, Zhengquan ;
Xie, Jialing ;
Shen, Shuai ;
Yuan, Haibo ;
Jiang, Yongwen .
LWT-FOOD SCIENCE AND TECHNOLOGY, 2022, 153
[5]   SPME-GC-MS untargeted metabolomics approach to identify potential volatile compounds as markers for fraud detection in roasted and ground coffee [J].
Couto, Cinthia de Carvalho ;
Chavez, Davy William Hidalgo ;
Oliveira, Edna Maria Morais ;
Freitas-Silva, Otniel ;
Casal, Susana .
FOOD CHEMISTRY, 2024, 446
[6]   Comparative evaluation of the volatile profiles and taste properties of roasted coffee beans as affected by drying method and detected by electronic nose, electronic tongue, and HS-SPME-GC-MS [J].
Dong, Wenjiang ;
Hu, Rongsuo ;
Long, Yuzhou ;
Li, Hehe ;
Zhang, Yanjun ;
Zhu, Kexue ;
Chu, Zhong .
FOOD CHEMISTRY, 2019, 272 :723-731
[7]   Rational design of technologies for the mitigation of neo-formed contaminants in roasted coffee [J].
Fernando Barrios-Rodriguez, Yeison ;
Gutierrez-Guzman, Nelson ;
Pedreschi, Franco ;
Salome Mariotti-Celis, Maria .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2022, 120 :223-235
[8]   Discrimination and geographical origin prediction of washed specialty Bourbon coffee from different coffee growing areas in Rwanda by using electronic nose and electronic tongue [J].
Flambeau, Kayihura Joseph ;
Lee, Won-Jong ;
Yoon, Jungro .
FOOD SCIENCE AND BIOTECHNOLOGY, 2017, 26 (05) :1245-1254
[9]   Aroma profiles of commercial Chinese traditional fermented fish (Suan yu) in Western Hunan: GC-MS, odor activity value and sensory evaluation by partial least squares regression [J].
Gao, Pei ;
Jiang, Qixing ;
Xu, Yanshun ;
Yang, Fang ;
Yu, Peipei ;
Xia, Wenshui .
INTERNATIONAL JOURNAL OF FOOD PROPERTIES, 2020, 23 (01) :213-226
[10]   Characterization of Turkish-Style Boiled Coffee Aroma by Gas Chromatography and Mass Spectrometry and Descriptive Analysis Techniques [J].
Kivancli, Julide ;
Elmaci, Yesim .
INTERNATIONAL JOURNAL OF FOOD PROPERTIES, 2016, 19 (08) :1671-1686