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Coffea stenophylla is a rare Coffea species boasting a flavor profile comparable to Arabica coffee (Coffea arabica) and has a good adaptability to lowland tropical climates. This species faces increasing threats from climate change, deforestation, and habitat fragmentation in its West African homeland. Using 1037 novel SNP markers derived from Genotyping-by-Sequencing (GBS), we revealed the presence of three distinct natural populations (mean Fst = 0.176) in Sierra Leone. Evidence of recent bottlenecks and small effective population size (118–140) was found across all three populations, reflecting the impact of recent anthropogenic disturbances on this species. Using a model-flexible inference approach, we unveiled a strong ancient bottleneck approximately 23,000 years ago, coinciding with the last glacial maximum (LGM), followed by post-glacial expansion and divergence into distinct genetic clusters. A comparative analysis between ex situ genebanks and natural populations detected a significant gap in genetic diversity, with two out of three natural populations missing from the ex situ genebank collection. These findings highlight the urgent need to improve conservation practices for C. stenophylla in Sierra Leone. The novel SNP markers developed in this study provided valuable tools to support future efforts in conservation and utilization of C. stenophylla genetic resources in West Africa. [ABSTRACT FROM AUTHOR]

Coffee quality, which ultimately is reflected in the beverage aroma, relies on several aspects requiring multiple approaches to check it, which can be expensive and/or time-consuming. Therefore, this study aimed to develop and calibrate an electronic nose (e-nose) coupled with chemometrics to approach coffee-related quality tasks. Twelve different metal oxide sensors were employed in the e-nose construction. The tasks were (i) the separation of Coffea arabica and Coffea canephora species, (ii) the distinction between roasting profiles (light, medium, and dark), and (iii) the separation of expired and non-expired coffees. Exploratory analysis with principal component analysis (PCA) pointed to a fair grouping of the tested samples according to their specification, indicating the potential of the volatiles in grouping the samples. Moreover, a supervised classification employing soft independent modeling of class analogies (SIMCA), partial least squares discriminant analysis (PLS-DA), and least squares support vector machine (LS-SVM) led to great results with accuracy above 90% for every task. The performance of each model varies with the specific task, except for the LS-SVM models, which presented a perfect classification for all tasks. Therefore, combining the e-nose with distinct classification models could be used for multiple-purpose classification tasks for producers as a low-cost, rapid, and effective alternative for quality assurance. [ABSTRACT FROM AUTHOR]

Copyright of Revista Entramado is the property of Universidad Libre Seccional Cali and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Research into microbial interactions during coffee processing is essential for developing new methods that adapt to climate change and improve flavor, thus enhancing the resilience and quality of global coffee production. This study aimed to investigate how microbial communities interact and contribute to flavor development in coffee processing within humid subtropical climates. Employing Illumina sequencing for microbial dynamics analysis, and high-performance liquid chromatography (HPLC) integrated with gas chromatography–mass spectrometry (GC-MS) for metabolite assessment, the study revealed intricate microbial diversity and associated metabolic activities. Throughout the fermentation process, dominant microbial species included Enterobacter, Erwinia, Kluyvera, and Pantoea from the prokaryotic group, and Fusarium, Cladosporium, Kurtzmaniella, Leptosphaerulina, Neonectria, and Penicillium from the eukaryotic group. The key metabolites identified were ethanol, and lactic, acetic, and citric acids. Notably, the bacterial community plays a crucial role in flavor development by utilizing metabolic versatility to produce esters and alcohols, while plant-derived metabolites such as caffeine and linalool remain stable throughout the fermentation process. The undirected network analysis revealed 321 interactions among microbial species and key substances during the fermentation process, with Enterobacter, Kluyvera, and Serratia showing strong connections with sugar and various volatile compounds, such as hexanal, benzaldehyde, 3-methylbenzaldehyde, 2-butenal, and 4-heptenal. These interactions, including inhibitory effects by Fusarium and Cladosporium, suggest microbial adaptability to subtropical conditions, potentially influencing fermentation and coffee quality. The sensory analysis showed that the final beverage obtained a score of 80.83 ± 0.39, being classified as a specialty coffee by the Specialty Coffee Association (SCA) metrics. Nonetheless, further enhancements in acidity, body, and aftertaste could lead to a more balanced flavor profile. The findings of this research hold substantial implications for the coffee industry in humid subtropical regions, offering potential strategies to enhance flavor quality and consistency through controlled fermentation practices. Furthermore, this study contributes to the broader understanding of how microbial ecology interplays with environmental factors to influence food and beverage fermentation, a topic of growing interest in the context of climate change and sustainable agriculture. [ABSTRACT FROM AUTHOR]

Introduction: Performance evaluation is essential in defining supply chain strategies because the firm can find out how the business processes in the supply chain are running and formulate strategic policies. Kayumas coffee is one of Indonesia’s specialty coffee with a unique aroma and flavor originating from Kayumas Village, Situbondo District, East Java. Kayumas coffee supply chain needs to be evaluated because of the lack of competitiveness with other specialty coffees. Strategies are needed to improve supply chain performance, improve product quality, and reduce costs. This study aims to configure the supply chain of Kayumas specialty coffee structure, evaluate its performance, and determine performance improvement strategies. Methods: This study uses descriptive analysis to configure the supply chain structure and flow. Analysis of supply chain performance based on Supply Chain Operation Reference (SCOR) model then weighted with Analytic Network Process (ANP). Performance improvement strategies were formulated by a discussion with experts and then weighted with ANP. Results: The research results show that the Kayumas specialty coffee supply chain comprises farmers, farmer groups, distributors or resellers, and consumers. There are 6 performance indicators (metrics) to measure performance: perfect order fulfillment, order fulfillment cycle time, flexibility, total supply chain management cost, cost of goods sold, and cash-to-cash cycle time. Performance measurement shows that Kayumas specialty coffee supply chain performance is in the inferior category. Conclusion: The strategy needed to improve supply chain performance by reducing cost is a partnership between supply chain members to reach a price agreement.

Abstract Fermentation using starter cultures has been considered an alternative and economically viable technology for the production of specialty coffees. This type of technology promotes several benefits, such as increased sensory quality, control over the fermentation process, predictability of the final product and added value. Coffee (Coffea arabica L.) samples for this study were collected in Presidente Olegário - MG (2018/19 crop year) in the Cerrado region of Minas Gerais. The effects of natural fermentation and inoculation of the yeast Torulaspora delbrueckii and duration of fermentation (0, 24, 48, 72 and 96 hours) on the sensory and chemical quality (analysis of bioactive, volatile, and organic compounds and fatty acids) of coffee were evaluated. The objective of this study was to determine the effect of fermentation time and starter culture inoculation on the chemical composition of fermented coffees. Fermentation time significantly influenced the sensory description of the coffee beverage, with notes of honey, brown sugar and almond predominating up to 48 hours, for coffees fermented for 72 and 96 hours the notes described were and fruity, winey notes. The chemical composition was primarily influenced by fermentation time.

Coffee quality, which ultimately is reflected in the beverage aroma, relies on several aspects requiring multiple approaches to check it, which can be expensive and/or time-consuming. Therefore, this study aimed to develop and calibrate an electronic nose (e-nose) coupled with chemometrics to approach coffee-related quality tasks. Twelve different metal oxide sensors were employed in the e-nose construction. The tasks were (i) the separation of Coffea arabica and Coffea canephora species, (ii) the distinction between roasting profiles (light, medium, and dark), and (iii) the separation of expired and non-expired coffees. Exploratory analysis with principal component analysis (PCA) pointed to a fair grouping of the tested samples according to their specification, indicating the potential of the volatiles in grouping the samples. Moreover, a supervised classification employing soft independent modeling of class analogies (SIMCA), partial least squares discriminant analysis (PLS-DA), and least squares support vector machine (LS-SVM) led to great results with accuracy above 90% for every task. The performance of each model varies with the specific task, except for the LS-SVM models, which presented a perfect classification for all tasks. Therefore, combining the e-nose with distinct classification models could be used for multiple-purpose classification tasks for producers as a low-cost, rapid, and effective alternative for quality assurance.

Coffea stenophylla is a rare Coffea species boasting a flavor profile comparable to Arabica coffee (Coffea arabica) and has a good adaptability to lowland tropical climates. This species faces increasing threats from climate change, deforestation, and habitat fragmentation in its West African homeland. Using 1037 novel SNP markers derived from Genotyping-by-Sequencing (GBS), we revealed the presence of three distinct natural populations (mean Fst = 0.176) in Sierra Leone. Evidence of recent bottlenecks and small effective population size (118–140) was found across all three populations, reflecting the impact of recent anthropogenic disturbances on this species. Using a model-flexible inference approach, we unveiled a strong ancient bottleneck approximately 23,000 years ago, coinciding with the last glacial maximum (LGM), followed by post-glacial expansion and divergence into distinct genetic clusters. A comparative analysis between ex situ genebanks and natural populations detected a significant gap in genetic diversity, with two out of three natural populations missing from the ex situ genebank collection. These findings highlight the urgent need to improve conservation practices for C. stenophylla in Sierra Leone. The novel SNP markers developed in this study provided valuable tools to support future efforts in conservation and utilization of C. stenophylla genetic resources in West Africa.

Background: Coffee fermentation process influences the final coffee composition and the sensory aspects which define the quality of the beverage. In this study, coffee fruits underwent spontaneous self-induced anaerobic fermentation using samples with two percentages of immature fruits in submerged and solidstate processing. The effects on the physicochemical composition and sensory quality of coffees were evaluated. Results: The two percentages of immature fruits corresponded to 11.0 and 0.3% of unripe fruits. The percentage of immature fruits significantly altered the initial content of sugars (sucrose, glucose, and fructose), ash, and titratable acidity. The water addition during the fermentative process did not significantly influence final moisture, proteins, citric acid, and propionic acid concentrations. Compared to the solidstate, the submerged process gave rise to coffees with lower concentrations of ethanol, glycerol, ash, lipids, succinic, and acetic acids. Coffee fermented with 0.3% of immature fruits showed higher lactic acid production in submerged fermentation (67.44 mg/g), and higher concentrations of ethanol (42.84 mg/g) and glycerol (1.68 mg/g) in solid-state fermentation. All coffees produced were classified as specialty coffees with a score above 84 points. However, the submerged fermented coffee with 11% immature fruit stood out with notes of caramel, brown sugar, honey, orange, lemon, floral, nut, yellow and red fruits. Conclusions: This study confirmed that spontaneous fermentation can be used to produce specialty coffees. Differentiation in sensory attributes can be achieved through the addition of water and varying the percentage of green fruits during the fermentation process. Up to 11% of immature fruits did not compromise coffee quality. [ABSTRACT FROM AUTHOR]

The coffee fruit is preferably harvested at the cherry stage, with high moisture and metabolic activity, and must then undergo a drying process for better preservation of the bean and its sensory attributes. In this context, this study aimed to characterize the final quality of the Arara cultivar Arabica coffee processed using the wet method and subjected to six drying methods: three conducted at the agro-industrial establishment (fixed-bed dryer, rotary drum dryer, and combined drying) and three laboratory-scale methods (convective oven, cast-tape drying, and suspended terrace). Drying was carried out to reduce the coffee's moisture content from an initial value of 46.2% on a wet basis (w.b.) to a final average value of 11.35% (w.b.). The fruits of in natura demucilaged coffee and the processed dry coffee beans were characterized for moisture, ash content, nitrogen compounds, lipids, total titratable acidity, organic acids, sugars, and the instrumental color of the beans. The sensory profile of the Arabica coffee was evaluated by five coffee specialists using the methodology proposed by the Specialty Coffee Association (SCA), and all the coffees were classified as a specialty. [ABSTRACT FROM AUTHOR]

The aim of this paper is to examine how smart roasters, one of the forms of Digital Transformation (DX) in the field of coffee bean roasting, are involved in the process of building branding in the specialty coffee business, with a focus on the interaction between coffee roasting profile data and roasters. In recent years, as the specialty coffee market has expanded in Japan, an increasing number of roasters and coffee shops have introduced smart roasters. In this paper, we focus on smart roasters that promote DX of coffee roasting as a major element supporting the specialty coffee business and examine how they engage in the construction of coffee branding. To this end, we clarify the positioning of the specialty coffee business in the coffee industry in Japan. Through case studies, we describe how smart roasters are involved in the branding of specialty coffee shops and the role roasters play in this process.

Coffee is a popular hobby beverage with a unique flavor, while its quality has been affected by several reported factors, including the particle size and shape of the ground coffee, the contact time between the ground coffee and the water, the direction of the water flow, and other issues related to post-processing equipment. This study investigated the direction and stability of water flow in three types of coffee filter cups during coffee extraction using three different grind sizes while also evaluating the effects of physicochemical properties (including pH, total dissolved solids (TDS), color, and antioxidant abilities) and bioactivities (total phenols content (TPC), total flavonoid content (TFC), caffeine, chlorogenic acid, and trigonelline) contents extracted from coffee. This study showed that pour-over coffee preparation using fine-ground coffee resulted in high TDS content (780–799 ppm) in all filter cups, while a filter cup of prime filter type II (PF2) with medium-ground coffee yielded similar results (790 ppm). In addition, the optimum TDS content and color appearance were obtained using a ground coffee (14 g) to water (270 g) ratio to prepare pour-over coffee. Taken together, this study indicated that the use of PF2 filter cups has satisfactory performance in terms of flow direction and stability. Moreover, the pour-over coffee produced by PF2 filter cups allows the realization of high-quality and high-bioactive substance content of the coffee under the constraints arising from using the same commercial coffee beans.

Specialty coffee, comprising a tenth of the global coffee trade, is distinguished by its strict quality requirements and traceable origins. The diverse flavor profiles of specialty coffee raise demands on providers to serve individual taste preferences. Prior research has not sufficiently explored how to predict customer preferences for specific flavor profiles or how these preferences influence behavioral intentions such as revisiting or recommending a café. This study hypothesized that customer involvement, the extrinsic factors of coffee experience, and culinary risk-taking would predict flavor preference, which would in turn affect behavioral intentions. In an experiment involving 47 participants, individuals tasted and evaluated two espresso flavor profiles in a counterbalanced order. Results showed that taking pleasure in buying coffee, an aspect of involvement, significantly predicted preference for a distinctly acidic single-origin flavor profile over a more conventional blend. However, factors such as interest in involvement, sensory and service quality aspects of the café experience, and culinary risk-taking in coffee consumption were not significant predictors of coffee preference. Furthermore, there was no significant relationship between coffee preference and the intention to revisit or recommend the establishment, though individual evaluations of each coffee were predictive of these behavioral intentions. These results refine the existing theory linking specialty coffee consumption and consumer behavior, particularly highlighting the role of acidity in flavor preferences. They also confirm the link between the sensory experience of tasting specialty coffee and subsequent behavioral intentions, applicable across diverse flavor profiles.

Specialty coffee has become increasingly consumed in recent years. The growth of the specialty coffee market has also led to a greater appreciation of the unique flavors and characteristics of different coffee species. Coffea arabica (Arabica coffee) and Coffea canephora (Canephora coffee, known internationally as Robusta) are the main species of most significant economic importance worldwide. This study aims to evaluate the use of Meyerozyma guilliermondii in the self-induced anaerobiosis fermentation (SIAF) of Coffea arabica and Coffea canephora. SIAF without inoculation (spontaneous fermentation) and with inoculation of yeast M. guilliermondii was conducted for five days in closed bioreactors. Volatiles and sensory analyses were performed in the roasted coffees. Twenty volatile compounds were identified in Arabica coffee and fifteen in Canephora coffee. The classes found were esters (7), pyrazines (7), ketones (4), alcohols (2), aldehydes (2), phenols (1), and pyrrole (1). Furfuryl alcohol was a significant compound for Arabica coffee, while 4-ethenyl-2-methoxyphenol was notable for Canephora coffee. M. guilliermondii increased significantly (p < 0.05) the score by over 3 points, improved the production of desirable volatile compounds (2-methylpyrazine, 2-ethylpyrazine, furfuryl alcohol, and 5-methylfurfural), enhanced the perception of sweetness and the sensory complexity of Canephora coffee. The SIAF method combined with M. guilliermondii can be a practical approach for improving the sensory quality of the Canephora coffee beverage. Spontaneous fermentation combined with the SIAF method resulted in an Arabica coffee beverage of good quality. [ABSTRACT FROM AUTHOR]

Colombia is the third largest coffee producer in the world and is recognized for its superior quality product. Nariño, it is the most representative agricultural activity but with low sophistication in the transformation processes. The objective of this study was to develop a coffee of Nariño origin that possesses the acceptability and functionality of Ganoderma lucidum. The total polyphenol content was determined using the Folin-Ciocalteu method, antioxidant activity using the DPPH method, and evaluation of structural functional groups using Fourier-transform infrared spectroscopy (FTIR) for the fruiting body and mycelial biomass of G. lucidum. The total polyphenol content and antioxidant activity were higher in the mycelial biomass (41,67 ± 4,35 mg EAG/g and 6,49 ± 0,99 µmol Eq Trolox/g extract) compared to the fruiting body (14,31 ± 1,85 mg EAG/g and 4,80 ± 0,25 µmol Eq Trolox/g extract). The IR spectra of the fruiting body and mycelial biomass showed similarity in both spectra, among the peaks, broad and strong bands, indicating that their chemical composition is similar, but not in concentration. In the development of coffee, mycelial biomass of G. lucidum was added in three concentrations (6, 8 and 10 %), and the sensory profile of the cup was evaluated following some of the cupping protocols of the SCAA (Specialty Coffee Association of America). The results of the sensory analysis for the samples with 8 and 10 % mycelial biomass in coffee showed an increase in their scores, reaching nearly the scores of the control sample, and these scores remained relatively constant at 8 and 9 points, placing the enriched coffee within the SCAA range as an excellent and extraordinary coffee, respectively. This demonstrates a promising method for the direct application of mycelial biomass in food for the development of functional foods. [ABSTRACT FROM AUTHOR]

Copyright of Quarterly Journal of Marketing is the property of Japan Marketing Academy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This work aims to assess the physicochemical characteristics and final sensory quality of Yellow Catuai IAC 62 Arabica coffee fermented with Saccharomyces cerevisiae. For such a purpose, a Composite Central Rotational Design (CCRD) was performed to investigate how fermentation time,temperature and pH conditions, moisture content and concentration of sugars and organic acids affect its sensory quality on two different roast levels in accordance with Specialty Coffee Association (SCA) protocols. It was found that fructose concentration decreased from 12 g/L to around 5 g/L during fermentation, regardless of temperature condition. Furthermore, longer fermentation times and higher temperatures have lowered sucrose and glucose concentrations from 4 to 2 g/L and 7 g/L to zero, respectively. Glycerol concentration was higher as time and temperature increased, and optimal conditions ranged at temperatures between 24 °C and 32 °C from 35 to 45 h of fermentation time. pH decreased as fermentation time elapsed, but there was a more significant reduction due to higher temperatures, starting at around pH 5 and, lower than 4 under extreme conditions. Contents of organic acids such as acetic, propionic, succinic, and lactic acids, were measured at the final stage of each fermentation process under studied conditions. It was observed that coffee samples achieved final scores ranging from 81 to 85 (SCA score), even in longer times and extreme temperature conditions, thus all samples have been classified as specialty coffees. This work described the initial step towards parameterizing fermentation processes, given that the response variables of temperature and fermentation time, were optimal and enhanced the sensory quality of coffee as beverage. Saccharomyces cerevisiae, a commercial product which has already been made available for producers, can ensure an increase in the sensory quality of coffee. [ABSTRACT FROM AUTHOR]

Over the past two decades, Rwanda has positioned itself as a leading producer of specialty coffee. The strategic move from ordinary to specialty coffee has overall been economically beneficial to the country. However, the multitude of incentives provided by both the Government and international donors spawned a rush to build a large number of coffee washing stations (CWS) throughout Rwanda. This trend gave rise to an oversupply of these plants, with most operating below their processing capacity. Our study uses cost benefit analysis to estimate the economic welfare loss that Rwanda has suffered owing to the combined effect of the oversupply of CWS, the coffee zoning policy, and the government regulated cherry coffee prices. Our results reveal that, if the coffee industry were rendered more competitive by dint of a reduction in the number of CWS, then the annual savings to Rwanda would be substantial. Furthermore, farmers could potentially receive prices that are 150% higher than the mandated fixed prices they are currently been paid. Our analysis could potentially be beneficial to Rwandese policy makers in devising fairer incentives to keep farmers interested in coffee farming, thus ensuring the sustainability of the coffee value chain in the long term. [ABSTRACT FROM AUTHOR]

The main aim of this study was to evaluate the impact of mechanical drying on the sensory quality of specialty coffee produced on three Colombian coffee farms. The technique involved a study of the coffee bean drying process parameters, such as temperature (35, 45 and 55 ℃), airflow (100 m3/min∙m2) and thickness (0.2 m) for mechanical drying, vs conventional drying in the open sun until 11% of moisture content was reached. For mechanical drying, the effective diffusion coefficient, electrical conductivity and drying kinetics were evaluated. A sensory test was performed for three storage periods (3, 6 and 9 months) using the Specialty Coffee Association (SCA) protocol. The results showed that the effective diffusion coefficient varied from 3.21 to 8.02 × 10−7 m2/s for mechanical drying and from 4.21 × 10−11 m2/s for drying in the open sun. The time drying time was established at 20.35 ± 0.06, 29.10 ± 0.09 and 71.52 ± 0.11 hours for mechanical drying at 55 ℃, 45 ℃ and 35 ℃ respectively and 54.48 ± 11.37 hours for drying in the open sun system. The average moisture content at the end of all drying operations was 12.5%. Electrical conductivity rose from 11.71 to 16.86 µS/cm∙g at drying temperatures ranging from 35 to 55 ℃. The sensory test revealed that storage duration had no effect on the quality of the coffee drink when in touch with the drying process, with mechanical drying yielding higher sensory ratings. The coffee beans were dried at 55 ℃, yielding coffee samples with SCA scores more than 85 points. In overall, it is determined that the convective mechanical drying method is a viable approach for the processing of specialty coffee beans since it allows for the retention of high-quality sensory qualities, allowing it to command higher market pricing.

Research into microbial interactions during coffee processing is essential for developing new methods that adapt to climate change and improve flavor, thus enhancing the resilience and quality of global coffee production. This study aimed to investigate how microbial communities interact and contribute to flavor development in coffee processing within humid subtropical climates. Employing Illumina sequencing for microbial dynamics analysis, and high-performance liquid chromatography (HPLC) integrated with gas chromatography–mass spectrometry (GC-MS) for metabolite assessment, the study revealed intricate microbial diversity and associated metabolic activities. Throughout the fermentation process, dominant microbial species included Enterobacter, Erwinia, Kluyvera, and Pantoea from the prokaryotic group, and Fusarium, Cladosporium, Kurtzmaniella, Leptosphaerulina, Neonectria, and Penicillium from the eukaryotic group. The key metabolites identified were ethanol, and lactic, acetic, and citric acids. Notably, the bacterial community plays a crucial role in flavor development by utilizing metabolic versatility to produce esters and alcohols, while plant-derived metabolites such as caffeine and linalool remain stable throughout the fermentation process. The undirected network analysis revealed 321 interactions among microbial species and key substances during the fermentation process, with Enterobacter, Kluyvera, and Serratia showing strong connections with sugar and various volatile compounds, such as hexanal, benzaldehyde, 3-methylbenzaldehyde, 2-butenal, and 4-heptenal. These interactions, including inhibitory effects by Fusarium and Cladosporium, suggest microbial adaptability to subtropical conditions, potentially influencing fermentation and coffee quality. The sensory analysis showed that the final beverage obtained a score of 80.83 ± 0.39, being classified as a specialty coffee by the Specialty Coffee Association (SCA) metrics. Nonetheless, further enhancements in acidity, body, and aftertaste could lead to a more balanced flavor profile. The findings of this research hold substantial implications for the coffee industry in humid subtropical regions, offering potential strategies to enhance flavor quality and consistency through controlled fermentation practices. Furthermore, this study contributes to the broader understanding of how microbial ecology interplays with environmental factors to influence food and beverage fermentation, a topic of growing interest in the context of climate change and sustainable agriculture.

The aim of this study was to determine the effect of various methods of processing, such as natural, washed, honey, anaerobic fermentation, and carbonic maceration, on the contents of heavy metals in green and roasted specialty coffees from various countries of origin (Ethiopia, Kenya, Rwanda, Burundi, Guatemala, Nicaragua, and Peru). The heavy metals aluminium (Al), nickel (Ni), chromium (Cr), cadmium (Cd), copper (Cu), and lead (Pb) were identified by a multi-element technique using inductively coupled plasma mass spectrometry. Mercury (Hg) content was determined by atomic absorption spectrometry. The processing method affected the contents of Hg, Al, Ni, Cr, Cd, and Pb in the green and roasted coffees (p

The possible application of a simple analytical method based on a UV (ultraviolet) spectral dataset coupled with SIMCA (soft independent modeling of class analogy) for authentication of Indonesian specialty ground roasted coffee with different botanical and geographical indications (GIs) was demonstrated. Three types of Indonesian specialty ground roasted coffee were used: GIs arabica coffee from Gayo Aceh (96 samples), GIs liberica coffee from Meranti-Riau (119 samples), and GIs robusta coffee from Lampung (150 samples) with 1 g weight of each sample. All samples were extracted using hot distilled water and 3 mL aqueous filtered samples were pipetted into a 10 mm quartz cell. Original UV spectral datasets were recorded in the range of 190–399 nm. The pre-processed spectral dataset was generated using three simultaneous different preprocessing techniques: moving average smoothing with 11 segments, standard normal variate (SNV), and Savitzky-Golay (SG) first derivative with window size and polynomial order value of 11 and 2. The supervised classification based on the SIMCA method was applied for preprocessed selected spectral data (250–399 nm). The PCA data showed that GIs coffee with different botanical and geographical indications can be well separated. The SIMCA classification was accepted with 100 % of correct classification (100 % CC). This dataset demonstrated the potential use of UV spectroscopy with chemometrics to perform simple and affordable authentication of Indonesian specialty ground roasted coffee with different botanical and geographical indications (GIs).

Specialty coffees from various geographical origins were processed using different extraction methods. Four extraction techniques were employed: cold brew (CB), espresso (ES), French press (FR), and aeropress (AE). The potential health benefits of coffee brews were linked to their antioxidant activity, as determined by the DPPH assay, and total polyphenol content (TPC) measured through the Folin–Ciocalteu reducing-capacity assay. The Columbia (C) espresso coffee type (omni-roasting) exhibited the highest antioxidant activity (86.31 ± 0.70) μmol/100 mL, with a TPC value of (44.41 ± 0.35) mg GAE/g. Quantitative analyses of caffeine and chlorogenic acid were conducted using high-performance liquid chromatography (HPLC). The evaluation of coffee aroma profiles involved the application of headspace solid-phase microextraction/gas chromatography–mass spectrometry (HS-SPME/GC-MS) and was complemented by sensory analysis following the Specialty Coffee Association (SCA) standard protocol. The predominant volatile compounds found in all samples included furans, phenols, pyrazines, and terpenes. The EY espresso type (medium dark roasting) had the highest levels of most coffee volatiles. The C cold brew type (omni-roasting) was rated as the preferred coffee in terms of its sensory characteristics and flavour. In summary, ES and CB were found to be more effective extraction methods for the parameters assessed. [ABSTRACT FROM AUTHOR]

An untargeted gas chromatography-mass spectrometry (GC-MS) approach combined with sensory analysis was used to present the effects of different extraction methods (i.e., Pure Brew, V60, AeroPress, and French Press) on specialty graded Coffea arabica from Kenya. Partial Least Square Discriminant analysis and hierarchical clustering were applied as multivariate statistical tools in data analysis. The results showed good discrimination and a clear clustering of the groups of samples based on their volatile profiles. Similarities were found related to the filter material and shape used for the extraction. Samples extracted with paper filters (V60 and AeroPress) resulted in higher percentages of caramel-, and flowery-related compounds, while from metal filter samples (Pure Brew and French Press), more fruity and roasted coffees were obtained. Discriminant analysis allowed the identification of eight compounds with a high VIP (variable important in projection) discriminant value (i.e., >1), with 2-furanmethanol being the main feature in discrimination. Sensorial analyses were carried out through an expert panel test. The main evaluations revealed the French Press system as the lowest-scored sample in all the evaluated parameters, except for acidity, where its score was similar to V60. In conclusion, the data obtained from GC-MS analyses were in line with the sensorial results, confirming that the extraction process plays a fundamental role in the flavor profile of filter coffee beverages. [ABSTRACT FROM AUTHOR]

There are still many micro-business actors who package their products with the appearance of less attractive packaging. However, it is not easy for micro-business actors to create product packaging ideas that is able to be accepted by the broad market. This study aimed to determine the attributes of packaging labels, determine the most influential graphic elements, and generate tone and manner for label specialty coffee packaging. Label attribute was analyzed with FAST and Pairwise Comparison methods. The graphic element was analyzed with the QFD method. The visual perception was analyzed with the Mind Mapping method quantified by the PCA method. It was concluded that experts expect more product information clarity and the impression of premium products on coffee packaging labels. In addition, experts also expect convenience in reading the information needed on packaging labels. Based on graphic element analysis, the priorities of the graphic element of packaging were 1) identity of the coffee product; 2) text hierarchy; 3) color labels; and 4) typical label style. The must-have tone and manner for specialty coffee packaging labels were familiar (friendly), premium, simple, and special.

Abstract Ambeu Preanger Pangalengan is a community of Arabica Java Preanger coffee connoiseurs and producers, located in Pangalengan. Along with the demand for the proliferation of producers and specialty coffee shops in Pangalengan, Ambeu Preanger assists several Small-Medium Enterprises (SMEs) related to the coffee industry in Pangalengan, namely Kawitan Coffee, Nagoya Coffee, Koffie Nyalse, Pangalengan Coffee House, Oeching Salapan, Ghoz Coffee, Sucker Soul, Coffee 4 Wheels, and Himmah Coffee. Then, from the survey process and data search in the field, we obtained information that not all SMEs in the coffee industry in Pangalengan have an ideal visual identity. In fact, they need a graphic visual identity as a representative of the image that will later be displayed on a website that is proclaimed as a digital storefront for these SMEs. Therefore, Telkom University team decided to design a graphic standard manual, which can help community to strive for a visual identity that is representative of their business, and is still in line with the brand image of Ambeu Preanger Pangalengan itself. Keywords: graphic standard manual, Pangalengan coffee community, specialty coffee, visual identity Abstrak Ambeu Preanger Pangalengan adalah komunitas penggiat Kopi Arabica Java Preanger yang berlokasi di Pangalengan. Seiring dengan tuntutan menjamurnya produsen serta kedai kopi specialty di Pangalengan, Ambeu Preanger mendampingi beberapa UMKM yang terkait dengan industri kopi di Pangalengan, yaitu Kawitan Coffee, Nagoya Coffee, Koffie Nyalse, Rumah Kopi Pangalengan, Oeching Salapan, Ghoz Coffee, Sucker Soul, Coffee 4 Wheels, dan Himmah Coffee. Lalu, dari proses survey dan pencarian data di lapangan, kami memperoleh informasi bahwa belum semua UMKM industri kopi yang ada di Pangalengan memiliki identitas visual yang ideal. Padahal, identitas visual grafis diperlukan oleh mereka sebagai perwakilan citra yang kelak ditampilkan di sebuah website yang dicanangkan sebagai etalase digital dari para UMKM ini. Oleh karena itu, tim Pengabdian Masyarakat Telkom University memutuskan untuk merancang panduan standar manual grafis, yang dapat membantu para mitra untuk mengupayakan hadirnya visual yang representatif sesuai dengan identitas bisnis yang mereka usung, serta masih sejalan dengan citra dari Ambeu Preanger Pangalengan itu sendiri. Kata kunci: identitas visual, komunitas kopi Pangalengan, kopi specialty, standar manual grafis

Ethiopian specialty coffee is exported to the international market based on the cup quality classification; however, there is limited information on the chemical characteristics. In this study, dry and wet-processed sixteen Ethiopian specialty coffee genotypes were investigated for total polyphenols, chlorogenic acids, caffeine, and trigonelline at different stages using UV-Vis spectrophotometric and Rapid Separation Liquid Chromatographic methods. Cup qualities of green coffee beans and brewed coffee were also assessed by professional cuppers. The results indicated that the bioactive compounds and cup qualities were significantly influenced by genotypes, green bean processing methods, and medium roasted-ground and brewed coffees. It was shown that the percentage of reduction in total polyphenols, chlorogenic acids, caffeine, and trigonelline concentrations were 77.3%, 82.5%, 47.8%, and 70.6%, respectively as the beans are transformed to brew. This study also fills the gap of information on the influence of processes and correlation to cup quality with bioactive compounds.

Coffee beverage presents unique organoleptic characteristics of aroma and taste. These sensory attributes depend on the chemical composition of the brewed coffee. Our objectives were to determine the sensory quality of the coffee beverage obtained by different brewing methods as assessed by untrained tasters and to characterize the solid residues of this extraction using the medium infrared spectrum. Four brewing methods were evaluated by 124 untrained consumers. The infusion method presented better global impression and preference of these consumers than the other brewing methods. Significant changes in the chemical composition of the coffee residues were observed. These changes influenced the acceptance of the consumers and can be due to the potential of retention or filtering of organic compounds by the brewing method. Thus, there was a sensory quality difference among the brewing methods and the infrared spectrum indicated the need to distinguish the classes of organic compounds for a better understanding of how coffee brewing interacts with the chemical composition.

The main aim of this study was to evaluate the impact of mechanical drying on the sensory quality of specialty coffee produced on three Colombian coffee farms. The technique involved a study of the coffee bean drying process parameters, such as temperature (35, 45 and 55°C), airflow (100 m³/min·m²) and thickness (0.2 m) for mechanical drying, vs conventional drying in the open sun until 11% of moisture content was reached. For mechanical drying, the effective diffusion coefficient, electrical conductivity and drying kinetics were evaluated. A sensory test was performed for three storage periods (3, 6 and 9 months) using the Specialty Coffee Association (SCA) protocol. The results showed that the effective diffusion coefficient varied from 3.21 to 8.02 × 10-7 m²/s for mechanical drying and from 4.21 × 10-11 m²/s for drying in the open sun. The time drying time was established at 20.35 ± 0.06, 29.10 ± 0.09 and 71.52 ± 0.11 hours for mechanical drying at 55°C, 45°C and 35°C respectively and 54.48 ± 11.37 hours for drying in the open sun system. The average moisture content at the end of all drying operations was 12.5%. Electrical conductivity rose from 11.71 to 16.86 µS/cm·g at drying temperatures ranging from 35 to 55°C. The sensory test revealed that storage duration had no effect on the quality of the coffee drink when in touch with the drying process, with mechanical drying yielding higher sensory ratings. The coffee beans were dried at 55°C, yielding coffee samples with SCA scores more than 85 points. In overall, it is determined that the convective mechanical drying method is a viable approach for the processing of specialty coffee beans since it allows for the retention of high-quality sensory qualities, allowing it to command higher market pricing. [ABSTRACT FROM AUTHOR]

Coffee is one of the most popular beverages in the world due to its flavor, aroma, energy content, and complex nutritional profile. Many factors affect coffee's characteristics, including its origin, storage, and roasting conditions. In this context, this study analyzes 100% Arabica medium-roasted coffee from six countries (El Salvador, Guatemala, Brazil, the Democratic Republic of the Congo, Ethiopia, and Colombia) to assess its total polyphenols, individual polyphenols, total antioxidant capacity, hydro- and liposoluble vitamins, and PAHs using analytical techniques such as high-performance liquid chromatography (HPLC), FT-NIR spectrometry, UV-VIS spectrophotometry, and photochemiluminescence. A total of 67 samples were collected from Romanian general and specialty stores. According to the study, coffee composition varies by origin, pedo-climatic characteristics, and store (general or specialty). The highest values for total polyphenols, polyphenols, and antioxidant capacity were obtained for Ethiopian coffee. The highest values of lipids and proteins were obtained in El Salvador and Guatemala, B1 and B2 in Brazil, B3 and B6 in Ethiopia, α- and β-tocopherol in Brazil, D. R. Congo, and Ethiopia. Specialty coffee had significantly higher levels than general store coffee for all investigated parameters. All coffee samples analyzed were within the maximum allowed levels for PAHs as set by regulations concerning food contaminants. [ABSTRACT FROM AUTHOR]

The coffee fruit is preferably harvested at the cherry stage, with high moisture and metabolic activity, and must then undergo a drying process for better preservation of the bean and its sensory attributes. In this context, this study aimed to characterize the final quality of the Arara cultivar Arabica coffee processed using the wet method and subjected to six drying methods: three conducted at the agro-industrial establishment (fixed-bed dryer, rotary drum dryer, and combined drying) and three laboratory-scale methods (convective oven, cast-tape drying, and suspended terrace). Drying was carried out to reduce the coffee’s moisture content from an initial value of 46.2% on a wet basis (w.b.) to a final average value of 11.35% (w.b.). The fruits of in natura demucilaged coffee and the processed dry coffee beans were characterized for moisture, ash content, nitrogen compounds, lipids, total titratable acidity, organic acids, sugars, and the instrumental color of the beans. The sensory profile of the Arabica coffee was evaluated by five coffee specialists using the methodology proposed by the Specialty Coffee Association (SCA), and all the coffees were classified as a specialty.

The aroma of coffee is a complex mixture of more than 1000 compounds. The volatile compounds in green and roasted coffee were analyzed to detect several features related to quality, roasting level, origins, and the presence of specific defects. With respect to specialty coffee, the flavor profile and peculiarities of the aforementioned characteristics are even more relevant knowing the expectations of consumers to find, in a cup of coffee, unicity bestowed by its origin and post-harvesting processes. In this work, which dealt with 46 lots of specialty Arabica coffee, we used HS-SPME/GC–MS to detect the volatile compounds in green coffees together with those in the same coffees roasted at three different levels to identify whether differences in headspace composition were ascribable to the origin, the post-harvesting processes, and the roasting profiles. The main results are related to the discriminant power of the volatile compounds in green coffee, which are impacted by the origins more than the post-harvesting processes. Compounds such as linalool and 2,3-butanediol were more concentrated in natural coffees, while hexanal was more concentrated in washed varieties (p < 0.05). In roasted coffees, the differences in composition were due to roasting levels, countries of origin, and the post-harvesting processes, in descending order of significance. [ABSTRACT FROM AUTHOR]

In this study, an investigation of the microbial community structure and chemical changes in different layers of a static coffee beans fermentation tank (named self-induced anaerobic fermentation—SIAF) was conducted at different times (24, 48, and 72 h). The microbial taxonomic composition comprised a high prevalence of Enterobacteriaceae and Nectriaceae and low prevalence of lactic acid bacteria and yeast, which greatly differs from the traditional process performed in open tanks. No major variation in bacterial and fungal diversity was observed between the bottom, middle, and top layers of the fermentation tank. On the other hand, the metabolism of these microorganisms varied significantly, showing a higher consumption of pulp sugar and production of metabolites in the bottom and middle layers compared to the top part of the fermentation tank. Extended processes (48 and 72 h) allowed a higher production of key-metabolites during fermentation (e.g., 3-octanol, ethyl acetate, and amyl acetate), accumulation in roasted coffee beans (acetic acid, pyrazine, methyl, 2-propanone, 1-hydroxy), and diversification of sensory profiles of coffee beverages compared to 24 h of fermentation process. In summary, this study demonstrated that SIAF harbored radically different dominant microbial groups compared to traditional coffee processing, and diversification of fermentation time could be an important tool to provide coffee beverages with novel and desirable flavor profiles. [ABSTRACT FROM AUTHOR]

C. canephora (syn. C. robusta) is distinctive due to its rising industrial value and pathogen resistance. Both altitude and post-harvest methods influence coffee cup quality; however, modest information is known about this coffee species. Therefore, the aim of this study was to determine the relationship between four different altitudes and post-harvest processes (dry, honey, and wet) to the improvement of the organoleptic quality of the C. canephora congolensis and conilon drink. For dry processing, congolensis and conilon showed the lowest scores in terms of fragrance/aroma, flavour, aftertaste, salt–acid, bitter–sweet, and body. Above 625 m, coffees from dry, honey, and wet processes increased scores in their sensory attributes, but there was no difference at such high altitudes when comparing post-harvest samples. Dry-processed coffee samples had total scores over 80 points at high altitudes. Conilon was perceived to have the best sensory attributes at high altitudes using honey processing. In general, the wet-processed congolensis and conilon samples had a tastier profile than dry-processed ones. [ABSTRACT FROM AUTHOR]

Specialty coffees from various geographical origins were processed using different extraction methods. Four extraction techniques were employed: cold brew (CB), espresso (ES), French press (FR), and aeropress (AE). The potential health benefits of coffee brews were linked to their antioxidant activity, as determined by the DPPH assay, and total polyphenol content (TPC) measured through the Folin–Ciocalteu reducing-capacity assay. The Columbia (C) espresso coffee type (omni-roasting) exhibited the highest antioxidant activity (86.31 ± 0.70) μmol/100 mL, with a TPC value of (44.41 ± 0.35) mg GAE/g. Quantitative analyses of caffeine and chlorogenic acid were conducted using high-performance liquid chromatography (HPLC). The evaluation of coffee aroma profiles involved the application of headspace solid-phase microextraction/gas chromatography–mass spectrometry (HS-SPME/GC-MS) and was complemented by sensory analysis following the Specialty Coffee Association (SCA) standard protocol. The predominant volatile compounds found in all samples included furans, phenols, pyrazines, and terpenes. The EY espresso type (medium dark roasting) had the highest levels of most coffee volatiles. The C cold brew type (omni-roasting) was rated as the preferred coffee in terms of its sensory characteristics and flavour. In summary, ES and CB were found to be more effective extraction methods for the parameters assessed.

An untargeted gas chromatography-mass spectrometry (GC-MS) approach combined with sensory analysis was used to present the effects of different extraction methods (i.e., Pure Brew, V60, AeroPress, and French Press) on specialty graded Coffea arabica from Kenya. Partial Least Square Discriminant analysis and hierarchical clustering were applied as multivariate statistical tools in data analysis. The results showed good discrimination and a clear clustering of the groups of samples based on their volatile profiles. Similarities were found related to the filter material and shape used for the extraction. Samples extracted with paper filters (V60 and AeroPress) resulted in higher percentages of caramel-, and flowery-related compounds, while from metal filter samples (Pure Brew and French Press), more fruity and roasted coffees were obtained. Discriminant analysis allowed the identification of eight compounds with a high VIP (variable important in projection) discriminant value (i.e., >1), with 2-furanmethanol being the main feature in discrimination. Sensorial analyses were carried out through an expert panel test. The main evaluations revealed the French Press system as the lowest-scored sample in all the evaluated parameters, except for acidity, where its score was similar to V60. In conclusion, the data obtained from GC-MS analyses were in line with the sensorial results, confirming that the extraction process plays a fundamental role in the flavor profile of filter coffee beverages.

The specialty coffees of the Department of Nariño have been recognized worldwide for their excellent quality, but they have been affected by the inadequate handling of the product in its supply chain, specifically in the areas where it is stored, directly affecting its differential attributes, therefore which presents an approach to solve the problem of selection and location of possible potential areas, for the establishment of a distribution center, essential for its entire chain. In the present study, a decision-making approach with multiple criteria (MCDA) was applied, specifically the analytical hierarchy process (AHP) and weighted linear combination (WLC), with the incorporation of geographical criteria and their implementation in GIS (Geographical Information Systems), where 38 possible alternatives (Producing Municipalities) were evaluated for the establishment of a distribution center, using criteria previously identified with the help of experts in the areas of location, logistics, connectivity and specialty coffees, where those selected were: production Municipal, road connectivity and average temperatures. As results, maps of normalized and weighted criteria were generated according to the qualification or level of importance given by the experts through the model (AHP) and later using the weighted linear combination method (WLC) and GIS, the possible ideal areas were identified for the establishment of the distribution center. In conclusion, we can affirm that as the number of criteria increases, it implies greater complexity for decision-making, being of great help the implementation of technological tools such as GIS for the analysis and management of information in the resolution of this type of problems, which in the specific case of this project brought us closer to having a departmental overview of the possible ideal areas to establish a distribution center for specialty coffees. In detail, the methods and criteria used, data sets used, results obtained and discussion, finally the most significant conclusions, are described. [ABSTRACT FROM AUTHOR]

Smallholder coffee producers are the foundation of the specialty coffee industry and are currently facing a set of challenges that threaten the sustainability of the industry. Movement towards a more sustainable specialty coffee sector requires strong collaboration between interdisciplinary researchers and industry stakeholders to develop research projects and interventions that address critical social, economic, and environmental threats to the industry. To improve upon past sector initiatives it is essential that cross-sector collaboration better incorporate and center coffee farmers' voices, which have often been absent from top-down interventions. This article describes one such collaboration, which investigated agronomic and market system needs of the Guatemalan smallholder coffee sector. We conducted participatory interviews with 33 coffee producers and 22 non-producer key informants, and used mixed-methods analysis of the interview data to better understand the key challenges facing smallholder coffee producers in Guatemala. The following factors emerged: pests and diseases, climate change, price, labor, nutrient management, market access, yield, nurseries and transplants, and technical assistance. Cross-sector, interdisciplinary collaborations that directly address these areas would directly improve the long-term sustainability of the coffee industry by reducing pressures currently limiting specialty coffee production. This research framework can also serve as a model for others interested in conducting interdisciplinary, cross-sector research. [ABSTRACT FROM AUTHOR]

The Specialty Coffee Association (SCA) sensory analysis protocol is the methodology that is used to classify specialty coffees. However, because the sensory analysis is sensitive to the taster's training, cognitive psychology, and physiology, among other parameters, the feasibility of instrumental approaches has been recently studied for complementing such analyses. Spectroscopic methods, mainly near infrared (NIR) and mid infrared (FTIR—Fourier Transform Infrared), have been extensively employed for food quality authentication. In view of the aforementioned, we compared NIR and FTIR to distinguish different qualities and sensory characteristics of specialty coffee samples in the present study. Twenty-eight green coffee beans samples were roasted (in duplicate), with roasting conditions following the SCA protocol for sensory analysis. FTIR and NIR were used to analyze the ground and roasted coffee samples, and the data then submitted to statistical analysis to build up PLS models in order to confirm the quality classifications. The PLS models provided good predictability and classification of the samples. The models were able to accurately predict the scores of specialty coffees. In addition, the NIR spectra provided relevant information on chemical bonds that define specialty coffee in association with sensory aspects, such as the cleanliness of the beverage. [ABSTRACT FROM AUTHOR]

This study proposes a selection strategy to be applied to a large number of coffee accessions, which can be useful when exploring many genotypes in breeding programs for beverage quality. Over three consecutive years, 270 Arabica coffee accessions from the germplasm collection of Minas Gerais, Brazil, were sensorially characterized. At the end of this period, the 20 genotypes with the greatest potential for specialty coffee production were selected, which were subjected to a second sensory characterization. Additionally, we determined the genetic correlations between the attributes that make up the final beverage score. We did not identify an attribute that was more important than the others in the organoleptic performance of the studied accessions. Through the proposed method, we identified genetic variation in our original population and selected five accessions with beverage quality considered excellent according to the SCA classification. These accessions were planted in field conditions of highly specialized farms to study their interaction with the cultivation environment and to promote the increase in production of such coffees. Additionally, the five selected accessions are being used in crosses with elite cultivars in order to create new segregation. We conclude that estimation of the heritability of each accession, the use over the years of common check cultivars with known performance, and extreme careful of experimental precision in the entire processes allow adequate comparisons. [ABSTRACT FROM AUTHOR]

Edaphoclimatic conditions, planting altitudes, soil, the microbiome of plants and fruits, genotypes, and postharvest processing are variables that contribute to the chemical and sensory quality of the coffee. Thus, the objective of this study was to evaluate the impacts of planting altitude and fermentation of fruits on the chemical and sensory quality of the coffee using Nuclear Magnetic Resonance (NMR) and Linear Discriminant Analysis (LDA). Cherry coffees were harvested in eight points of altitudes between 826 and 1078.08 m. A completely randomized design with e planting altitudes, five fermentation processes, and five repetitions was performed. Lipids, trigonelline, citrate, and malate were the compounds that most contribute to the chemical discrimination of coffee in the altitudes below 969 m. While, in the high altitudes (> 1000 m), this discrimination was due to the HMF, quinic acid, caffeine, and formic acid, and the global notes of coffee beverages were higher than 80 points. In fermented coffee, the LDA of the chemical data indicates the formation of five clusters, showing how the compounds can suffer changes depending on the form of processing used in coffee. The best score of beverage was observed in samples of 1078.08 m under dry fermentation and only in samples of 969 m was observed a significant difference in the sensory score between spontaneous fermentation and induced fermentation. Thus, coffee sensory scores were dependent on planting and fermentation methods and NMR and LDA techniques proved important in chemical and sensory discrimination of coffees. [ABSTRACT FROM AUTHOR]

Study aim: we aimed to outline the direct trade of specialty coffees’ global research and adoption, highlighting its contributions, limitations and theoretical and empirical gaps, providing insights for future studies. Method: integrative systematic review of selected academic materials from the Web of Knowledge, SciELO, Scopus, Science Direct and Scholar Google databases, as well as technical materials from the Specialty Coffee Association and the Perfect Daily Grind portals, which were analyzed using the qualitative and open grid categorical content analysis technique. Main results: we identified three categories of contributions associated with Direct Trade - "Relationship and Coordination", "Origin and Sustainability" and "Quality and Differentiation" and three categories of its limitations - "Conceptual and Regulatory", "Execution and Monitoring" and "Potential of Transformation and Accessibility". Despite its potential to contribute to the promotion of the sustainability of this market, Direct Trade is not the only solution to the many and complex challenges of the activity. Therefore, it should be adapted to local realities and be carefully adopted, preferably in conjunction with other initiatives aimed at opening different markets and reaching different consumer audiences. Relevance/originality: this is the first systematic review of the subject, required by the rapid growth of studies in the field, despite its currentness and only recent expansion of the debate. Theoretical/methodological contributions: we presented a new concept of Direct Trade, subdivided the practice into two perspectives - relational and transactional – and elaborated a framework for its realization.

Ethiopian specialty coffee is exported to the international market based on the cup quality classification; however, there is limited information on the chemical characteristics. In this study, dry and wet-processed sixteen Ethiopian specialty coffee genotypes were investigated for total polyphenols, chlorogenic acids, caffeine, and trigonelline at different stages using UV-Vis spectrophotometric and Rapid Separation Liquid Chromatographic methods. Cup qualities of green coffee beans and brewed coffee were also assessed by professional cuppers. The results indicated that the bioactive compounds and cup qualities were significantly influenced by genotypes, green bean processing methods, and medium roasted-ground and brewed coffees. It was shown that the percentage of reduction in total polyphenols, chlorogenic acids, caffeine, and trigonelline concentrations were 77.3%, 82.5%, 47.8%, and 70.6%, respectively as the beans are transformed to brew. This study also fills the gap of information on the influence of processes and correlation to cup quality with bioactive compounds. [ABSTRACT FROM AUTHOR]

The spatial and social aspects of food chains have recently become of an increasing interest for geographers. One of the most important agricultural commodities and most popular beverages is coffee which has become a subject of growing body geographical research. Over the past decades, coffee consumption has undergone significant transformation often divided into so-called three waves of coffee consumption. Their onset, however, has not been uniform across the globe and the post-socialist countries have experienced recent developments with substantial delay. The most recent third wave has been initiated by the actors in the last stages of the coffee chain - small-scale coffee roasters as a response to growing demand for quality. The third wave coffee roasters are a relatively new phenomenon on Slovak market which has not been studied yet and our paper aims to fill this gap. The main purpose of our paper has been to map them, explain their development in the context of the three waves and investigate their spatial distribution. The development and geographical distribution of third wave coffee roasters are closely related to the economic condition and reflect the socioeconomic disparities within the country. As our data has shown, the third wave roasters concentrate disproportionally in prosperous urban areas. The relationship between the number of roasters and the distance from the nearest regional centre is well described by exponential function. The surge of third wave coffee is associated with changing sentiments in consumer culture – backlash against mass consumerism and growing interest in alternative consumption which is emblematic to affluent urban consumers. Central and eastern Europe is experiencing growing demand for coffee and specialty market has not yet reached its ceiling which makes third wave coffee a perspective segment. Although the pandemic has caused short-term downturn, nonetheless, it likely will not affect the positive outlook in long-term. [ABSTRACT FROM AUTHOR]

Summary: Specialty coffee (SC) has been showing an increasing interest from the consumers which appreciate its traceability and the peculiar flavours from each single origin. Additionally, the processes to which coffee fruits underwent to get green coffee characterise the beans in terms of macromolecules acting as substrates during the roasting. This work evaluates via sensory analysed eight SC, roasted at light, medium, and dark level, submitted to Italian espresso extraction, to assess how different roasting levels exalt the expected cup profile obtained by the suppliers via cupping in origin countries. Finally, roasted beans were characterised for physico‐chemical features (pH, titratable acidity, caffeine, melanoidins, polyphenols and acrylamide). Sensory analysis demonstrated that the intermediate roasting level and espresso extraction match better attributes from in‐origin cupping. Melanoidins (mmol g−1 coffee d.b.) was able to discriminate among roasting levels (light 0.12 ± 0.01; medium 0.13 ± 0.003; dark 0.14 ± 0.01; α = 0.05). Acrylamide analyses ensured compliance with the food safety standards (light 301.9 ± 37.2 ppb; medium 126.1±19ppb; dark 107.9 ± 22.5ppb). Physico‐chemical features were able to cluster samples from different origins within the same roasting level (α = 0.05). Results showed correlations (α = 0.01) between sensory analysis and physico‐chemical values: direct for caffeine and astringency, reverse for perceived acidity in relation to astringency, roasted, dried fruits and nutty notes. [ABSTRACT FROM AUTHOR]

The research that aimed to analyze the relationship between altitude and shade of Arabica coffee plants on the taste of coffee has been conducted. This study uses an organoleptic analysis method that refers to the Specialty Coffee Association of America (SCAA) Standard with parameters are fragrance, acidity, body, flavor, after taste, and balance. Coffee flavor test results at all altitudes, coffee beans in the presence of shade have a positive effect on forming flavor, body, quality after taste, and balance, where the flavor of Arabica coffee in shaded conditions has a higher rating scale. In addition, based on the classification of taste quality, Arabica coffee in shaded conditions is included in the category of specialty Arabica coffee with a total scoring is 82.50 to 83.75.

The aroma of coffee is a complex mixture of more than 1000 compounds. The volatile compounds in green and roasted coffee were analyzed to detect several features related to quality, roasting level, origins, and the presence of specific defects. With respect to specialty coffee, the flavor profile and peculiarities of the aforementioned characteristics are even more relevant knowing the expectations of consumers to find, in a cup of coffee, unicity bestowed by its origin and post-harvesting processes. In this work, which dealt with 46 lots of specialty Arabica coffee, we used HS-SPME/GC–MS to detect the volatile compounds in green coffees together with those in the same coffees roasted at three different levels to identify whether differences in headspace composition were ascribable to the origin, the post-harvesting processes, and the roasting profiles. The main results are related to the discriminant power of the volatile compounds in green coffee, which are impacted by the origins more than the post-harvesting processes. Compounds such as linalool and 2,3-butanediol were more concentrated in natural coffees, while hexanal was more concentrated in washed varieties (p < 0.05). In roasted coffees, the differences in composition were due to roasting levels, countries of origin, and the post-harvesting processes, in descending order of significance.