Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-4849
Publication type: | Article in scientific journal |
Type of review: | Peer review (publication) |
Title: | Quantitative assessment of specific defects in roasted ground coffee via infrared-photoacoustic spectroscopy |
Authors: | Dias, Rafael Carlos Eloy Valderrama, Patrícia Março, Paulo Henrique Dos Santos Scholz, Maria Brigida Edelmann, Michael Yeretzian, Chahan |
DOI: | 10.21256/zhaw-4849 10.1016/j.foodchem.2018.02.076 |
Published in: | Food Chemistry |
Volume(Issue): | 255 |
Page(s): | 132 |
Pages to: | 138 |
Issue Date: | 30-Jul-2018 |
Publisher / Ed. Institution: | Elsevier |
ISSN: | 0308-8146 1873-7072 |
Language: | English |
Subjects: | Blends of coffee; Chemometric methods; Coffee defects; FTIR-PAS; Species of coffee; Coffee; Food Quality; Photoacoustic Techniques; Spectroscopy; Fourier Transform Infrared |
Subject (DDC): | 663: Beverage technology |
Abstract: | Chemical analyses and sensory evaluation are the most applied methods for quality control of roasted and ground coffee (RG). However, faster alternatives would be highly valuable. Here, we applied infrared-photoacoustic spectroscopy (FTIR-PAS) on RG powder. Mixtures of specific defective beans were blended with healthy (defect-free) Coffea arabica and Coffea canephora bases in specific ratios, forming different classes of blends. Principal Component Analysis allowed predicting the amount/fraction and nature of the defects in blends while partial Least Squares Discriminant Analysis revealed similarities between blends (=samples). A successful predictive model was obtained using six classes of blends. The model could classify 100% of the samples into four classes. The specificities were higher than 0.9. Application of FTIR-PAS on RG coffee to characterize and classify blends has shown to be an accurate, easy, quick and "green" alternative to current methods. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/12178 |
Fulltext version: | Published version |
License (according to publishing contract): | CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International |
Departement: | Life Sciences and Facility Management |
Organisational Unit: | Institute of Chemistry and Biotechnology (ICBT) |
Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
File | Description | Size | Format | |
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2018_Dias_Quantitiative_assessment_of_specific_defects_in_roasted_ground_coffee.pdf | 680.81 kB | Adobe PDF | ![]() View/Open |
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