The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Variability of single bean coffee volatile compounds of Arabica and robusta roasted coffees analysed by SPME-GC-MS
Open accessAbstract
We report on the analysis of volatile compounds by SPME-GC-MS for individual roasted coffee beans. The aim was to understand the relative abundance and variability of volatile compounds between individual roasted coffee beans at constant roasting conditions. Twenty-five batches of Arabica and robusta species were sampled from 13 countries, and 10 single coffee beans randomly selected from each batch were individually roasted in a fluidised-bed roaster at 210 °C for 3 min. High variability (CV = 14.0-53.3%) of 50 volatile compounds in roasted coffee was obtained within batches (10 beans per batch). Phenols and heterocyclic nitrogen compounds generally had higher intra-batch variation, while ketones were the most uniform compounds (CV < 20%). The variation between batches was much higher, with the CV ranging from 15.6 to 179.3%. The highest variation was observed for 2,3-butanediol, 3-ethylpyridine and hexanal. It was also possible to build classification models based on geographical origin, obtaining 99.5% and 90.8% accuracy using LDA or MLR classifiers respectively, and classification between Arabica and robusta beans. These results give further insight into natural variation of coffee aroma and could be used to obtain higher quality and more consistent final products. Our results suggest that coffee volatile concentration is also influenced by other factors than simply the roasting degree, especially green coffee composition, which is in turn influenced by the coffee species, geographical origin, ripening stage and pre- and post-harvest processing.
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Cites
Formation of flavour compounds in the Maillard reaction
van Boekel, M. A. J. S. (2006) · Biotechnology Advances · doi:10.1016/j.biotechadv.2005.11.004 · Cited by 650
Evaluation of the Key Odorants of Foods by Dilution Experiments, Aroma Models and Omission
Grosch, W. (2001) · Chemical Senses · doi:10.1093/chemse/26.5.533 · Cited by 640
Tikunov, Y., Lommen, A., de Vos, C. H. R., Verhoeven, H. A., Bino, R. J., Hall, R. D., & Bovy, A. G. (2005) · Plant Physiology · doi:10.1104/pp.105.068130 · Cited by 513
Studies on Character Impact Odorants of Coffee Brews
Semmelroch, P., & Grosch, W. (1996) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf9505988 · Cited by 304
Steinhaus, P., & Schieberle, P. (2007) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf0709092 · Cited by 290
Joët, T., Laffargue, A., Descroix, F., Doulbeau, S., Bertrand, B., kochko, A. D., & Dussert, S. (2010) · Food Chemistry · doi:10.1016/j.foodchem.2009.05.048 · Cited by 278
Coffee Roasting and Aroma Formation: Application of Different Time−Temperature Conditions
Baggenstoss, J., Poisson, L., Kaegi, R., Perren, R., & Escher, F. (2008) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf800327j · Cited by 273
Giri, A., Osako, K., Okamoto, A., & Ohshima, T. (2010) · Food Research International · doi:10.1016/j.foodres.2010.01.012 · Cited by 254
Bertrand, B., Boulanger, R., Dussert, S., Ribeyre, F., Berthiot, L., Descroix, F., & Joët, T. (2012) · Food Chemistry · doi:10.1016/j.foodchem.2012.06.060 · Cited by 242
Relationship between the different aspects related to coffee quality and their volatile compounds
Toledo, P. R. A. B., Pezza, L., Pezza, H. R., & Toci, A. T. (2016) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12205 · Cited by 241
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Metadata
- Authors
- Caporaso, N., Whitworth, M. B., Cui, C., & Fisk, I. D.
- Venue
- Food Research International
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 108
- Pages
- 628-640
- ISSN
- 0963-9969 (ISSN-L)
- OpenAlex
- W2795790230
- Cited by
- 298
- References
- 52
- FWCI
- 11.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Caporaso, N., Whitworth, M. B., Cui, C., & Fisk, I. D. (2018). Variability of single bean coffee volatile compounds of Arabica and robusta roasted coffees analysed by SPME-GC-MS. Food Research International. https://doi.org/10.1016/j.foodres.2018.03.077
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