This study proposed a classification model for 125 agricultural productive units (APUs) in Tolima, Colombia, to establish whether they are related to the quality of coffee produced. The model considered two aspects related to farmer profile and farm profile. The following proposed categories resulted from the coordinate obtained in relation to the two aspects: Low-Low, High-Low, Low-High, and High-High. The variables for each aspect were prioritized using the analysis hierarchical process (AHP). The coffee’s quality, sensory profile by attribute, and specific descriptors for each category were determined employing the Specialty Coffee Association (SCA) protocol. The sensory attributes were analyzed by way of one-way analysis of variance (ANOVA), and the Bonferroni test was used to compare by category, both with a significance level of α = 0.05. The model grouped the APUs by category and cup quality, with the High-High category achieving the best scores in the sensory analysis. The variables with the greatest relative weight within the AHP model constituted farmer stance regarding the use of good agricultural practices (44.5%) and farmer attitude toward excellence (40.6%) in the farmer’s profile. As part of the farm’s profile, environmental commitment level (38.0%) and international certifications (29.1%) were the greatest relative weights. Coffee in the High-High category was characterized by its notes of cinnamon, cocoa, chocolate, and dried vegetables.
Roasted and ground coffee for encapsulation in single-serve capsules compatible with keurig® and coffee powder obtained from Nespresso® commercial capsules were analyzed for pH value, titratable acidity, moisture content, water activity and color (lightness); a data matrix that contains the physicochemical properties and the absorbance measurements using a baseline of 1600 to 1800 cm–1 by FTIR-ATR technique, was evaluated through the combined methods of principal component analysis (PCA) and cluster analysis in order to discriminate between the types of capsules. In the PCA biplot two distinct groups can be identified and in the cluster analysis two groups are that correspond to the two types of capsules. The results showed that FTIR-ATR based methods seem to be a promising alternative for the discrimination of coffee samples for the pods industry or for the type of consumption.
Currently, the use of coffee pulp to prepare infusions is being studied based on its antioxidant properties. The objective of this study was to evaluate the effect of drying temperature on the chemical properties of dehydrated coffee pulp to characterize the coffee pulp beverage in single-dose capsules physically and sensorially after being subjected to three thermal treatments (CT, natural drying; T50, oven drying at 50°C; T60, oven drying at 60°C). Chemical characterization of the dehydrated pulp was performed using Fourier transform infrared spectroscopy analysis (ATR-FTIR) and liquid chromatography (HPLC). Next, physical and sensorial characterization of the beverage was performed to determine the soluble solids (SS), pH, titratable acidity, and color. On the other hand, this beverage was evaluated sensorially. Principal component analysis was performed on the data from the FTIR spectral ranges of 1,800-650 cm-1. Physicochemical and sensory results were analyzed using ANOVA. The chemical, physical, and sensory behavioral results allowed the identification of T60 as a viable processing treatment.
En el presente artículo, se evidenció el comportamiento del cacao sometido a cinco tratamientos; FI1 (Fermentación con Inóculo # 1); FI2 (Fermentación con Inóculo # 2); FI3 (Fermentación con Inóculo # 3); FN1 (Fermentación Natural # 1); FN2 (Fermentación Natural # 2) para los clones CCN-51, LUKE-40 y ICS 95. Se evidenció los cambios fitoquímicos donde se evaluó la humedad del grano, pH, Acidez titulable, Aw, Solidos solubles tanto en la almendra seca como en la almendra tostada. Los tratamientos con fermentación natural durante el proceso fueron los que más cambios se obtuvieron durante el proceso de secado y tueste en la acidez y humedad con respecto a los tratamientos de inóculos. Sensorialmente muestran un perfil más aromático y sabores a cacao pronunciados
In coffee beverages, there are several factors that affect the final compounds and generate sensory variations. This study evaluated the effect of five preparation methods, three roast degrees, and three different varieties (coffea arabica) on the physicochemical compounds of coffee (coffea arabica) before and after preparation by using information obtained from the mid-infrared spectrum. The effect on some sensory attributes was assessed by means of a panel of 54 habitual coffee consumers. Spectrum data were processed using hierarchical clustering and principal component analysis (PCA), while a mixed general linear model was applied for sensory analysis. The results showed that each factor behaves independently, showing a significant effect (p < 0.05) on a greater number of attributes. The preparation method and the roast degree are attributed to the changes generated in the chemical characteristics of coffee during these processes. Through the analysis of the infrared spectrum (IR) by hierarchical cluster, it was found that, before the preparation of the coffee drinks, the samples are grouped by roast degree, regardless of the type of variety. Spectrum analysis by PCA after brewing indicated that there is a greater effect of the roast degree and variety of coffee (coffea arabica) on the chemical markers of the IR spectra. Finally, wavelengths 1,800,
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