Quantitative assessment of specific defects in roasted ground coffee via infrared-photoacoustic spectroscopy

被引：31

作者：

Dias, Rafael Carlos Eloy ^{[1
]}

Valderrama, Patricia ^{[2
]}

Marco, Paulo Henrique ^{[2
]}

dos Santos Scholz, Maria Brigida ^{[3
]}

Edelmann, Michael ^{[1
]}

Yeretzian, Chahan ^{[1
]}

机构：

[1] Zurich Univ Appl Sci ZHAW, Inst Chem & Biotechnol, Coffee Excellence Ctr, Einsiedlerstr 31, CH-8820 Wadenswil, Switzerland

[2] Fed Technol Univ Parana State UTFPR, Postgrad Program Food Technol PPGTA, Via Rosalina Maria Santos 1233,Postal Code 271, BR-87301899 Campo Mourao, Parana, Brazil

[3] Inst Agron Parana IAPAR, Tech Sci Board, Rod Celso Garcia Cid,Km 375,Postal Code 481, BR-86001970 Londrina, Parana, Brazil

来源：

FOOD CHEMISTRY | 2018年 / 255卷

关键词：

FTIR-PAS; Chemometric methods; Coffee defects; Species of coffee; Blends of coffee; PARTIAL LEAST-SQUARES; RAMAN-SPECTROSCOPY; GREEN COFFEE; CHEMICAL-COMPOSITION; HPLC ANALYSIS; DISCRIMINATION; ROBUSTA; ARABICA; BEANS; DIFFERENTIATION;

D O I：

10.1016/j.foodchem.2018.02.076

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

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.

引用

页码：132 / 138

页数：7

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