Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4508504 | Engineering in Agriculture, Environment and Food | 2014 | 4 Pages |
Abstract
Roasting can potentially affect the functional properties of the resulting coffee. For instance, antioxidant phenolic chlorogenic acids (CGA) are known to be thermally labile. In this study, we develop a new NIR spectroscopic method to measure CGA concentration found in the coffee beans. High performance liquid chromatography (HPLC) was used to determine standard reference values of CGA concentration. A partial least squares regression (PLSR) with full cross-validation method was employed for the development and the validation of the regression model. The resultant model accuracy of RCV2Â =Â 0.76 and RMSECVÂ =Â 1.16% with preprocessing of the spectra by MSC and SNV is thought to be accurate enough for the rapid and non-destructive determination of CGA concentration in roasted coffee beans.
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Authors
Jiajia Shan, Tetsuhito Suzuki, Diding Suhandy, Yuichi Ogawa, Naoshi Kondo,