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FTIR and Chemometrics as Effective Tools in Predicting the Quality of Specialty Coffees
- Source :
- Food Analytical Methods. 13:275-283
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Cup tasting is the most important tool to access the quality of coffee beans. However, the use of sensory evaluation alone can present some problems, since bias from the previous knowledge of a particular sample and health conditions of the taster can influence the results. Given the well-established potential of spectroscopic methods in coffee quality evaluation, in the present study, we sought to evaluate the potential of FTIR spectroscopy for quantitative evaluation of specialty coffee quality. Samples of specialty coffee were provided by the Federacao dos Cafeicultores do Cerrado Mineiro and Fazenda Barinas. They were roasted in IKAWA coffee roaster, analyzed by a group of Q-graders, and submitted to FTIR analysis. Physicochemical analyses (pH, titratable acidity, brix, total solids, and browning compounds) were also employed to show potential differences. Only pH showed significant difference between the beverages. PLS results showed consistent models for predicting the quality previously given by the cuppers, with low values of RMSEC and RMSEP (0.23 both). Also, the models showed high values of Rc (0.99) and Rv (0.97). The whole spectra were considered as important to classify the coffees by their quality, showing the complexity of the beverage.
- Subjects :
- Brix
media_common.quotation_subject
010401 analytical chemistry
Titratable acid
04 agricultural and veterinary sciences
Total dissolved solids
040401 food science
01 natural sciences
Applied Microbiology and Biotechnology
Specialty coffee
0104 chemical sciences
Analytical Chemistry
Chemometrics
0404 agricultural biotechnology
Browning
Quality (business)
Food science
Wine tasting
Safety, Risk, Reliability and Quality
Safety Research
Food Science
Mathematics
media_common
Subjects
Details
- ISSN :
- 1936976X and 19369751
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Food Analytical Methods
- Accession number :
- edsair.doi...........4ce17f8d9eab2c2350ffe9d8a13252fb
- Full Text :
- https://doi.org/10.1007/s12161-019-01619-z