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The growing global consumption of coffee has positioned Colombia as the third largest producer worldwide. However, the processing of coffee beans generates significant by-products, such as mucilage, which is rich in phenolic compounds with antioxidant activity. Inadequate disposal of this waste creates environmental problems and economic losses. This research aimed to develop high-quality coffee mucilage capsules using spray drying technology. Chemically modified banana starch with octenyl succinic anhydride (OSA) and commercial maltodextrin were used as coating materials to enhance the properties of the capsules. Physicochemical and functional characterization was performed on samples of fresh and filtered coffee mucilage (MF), concentrated mucilage (MC), concentrated mucilage with the addition of maltodextrin and OSA-modified starch (MCMA), and finally, spray-dried coffee mucilage powder (MP). The antioxidant capacity (AC) of the mucilage was evaluated throughout the processing stages. MF showed an AC of 179.2 μmol of trolox/100 g, while the final coffee mucilage powder (MP) showed a significantly higher AC of 5444.35 μmol of trolox/100 g. Additionally, the MP showed a stability index of 0.48, water activity (aw) of 0.19, solubility of 14.64%, and a high water retention capacity of 90.53%. Microscopic analysis revealed amorphous structures with an average size of 29.16 ± 2.12 μm in the MP. These findings highlight the potential of spray drying with food-grade matrices such as OSA-modified banana starch to encapsulate coffee mucilage, preserving its antioxidant capacity and creating a new functional food ingredient with water retention properties. [ABSTRACT FROM AUTHOR]

This study investigated the potential of coffee mucilage (CM), a readily available coffee industry byproduct, as a wall material for the microencapsulation of pink guava pulp via freeze-drying (FD). Microcapsules with varying wall compositions incorporating powdered coffee mucilage, maltodextrin (MD), or a combination of both (FD-CM/MD) were developed and characterized using techniques such as FT-IR spectroscopy, SEM, TGA/DSC, and zeta potential analysis. The retention of bioactive compounds was assessed using total phenolic content, antioxidant capacity and carotenoid analyses. Results revealed that the incorporation of powdered coffee mucilage significantly influenced the physicochemical properties of the microcapsules, resulting in larger particle sizes and less rough surface morphologies compared with maltodextrin-based formulations. Notably, FD-CM microcapsules exhibited a thermal stability (Tg ≈ 50 °C) and retention total polyphenols of 30.19 ± 5.26 mg GAE/g dry weight (DW) and carotenoids of 5.50 ± 0.29 mg β-carotene/100 g DW, which can be attributed to the protective effects and inherent antioxidant capacity of 91.85 ± 9.93 μmol Trolox Equivalents/g DW in the coffee mucilage matrix. While influencing the color attributes, all microcapsule formulations retained a commercially appealing (h ab = 79.80 ± 0.06) red-yellow hue. This study demonstrated the potential of powdered coffee mucilage as a sustainable and effective encapsulating wall material for enhancing the stability and bioavailability of bioactive compounds in food products. • Coffee Mucilage Emerges as a Novel Wall Material for Microencapsulation. • Microencapsulation with Coffee Mucilage Significantly Enhances Bioactive Retention of Guava Carotenoids. • Coffee Mucilage Incorporation Improves Physicochemical Properties of Microcapsules. • This Study Promotes Sustainable Valorization of Coffee Wasted By-products. • Microencapsulated Pink Guava Pulp Shows Potential for Functional Food Applications. [ABSTRACT FROM AUTHOR]

In the present investigation, the effects of the substrate composition, organic load, medium acidification time, operation pH, and temperature on the production of hydrogen by anaerobic fermentation with fruits and vegetable waste, and fresh mucilage of coffee was evaluated. For this purpose, tests were carried out in a 20-liter bioreactor operated in batch mode, under a central composite experimental design (CCD). The fermentations were conducted under mesophilic conditions, without adding inoculum, and without sterilizing the substrate. The results for maximum daily hydrogen production (MDP), the maximum hydrogen content in the gas (MHC) and cumulative production (CHP) showed an acceptable fit to second-order polynomial models. All the independent variables were significant, especially the operation pH and the acidification time. Also, the premises for a model obtained by regression, according to error analysis, were fulfilled. In the same way, it was possible to optimize the response variables. The maximum specific production concerning the organic load was 5511 mL H2 gCODremoved-1, and regarding the volatile solids was of 670 mL H2 gVSadded-1. These values are higher than those reported with similar substrates in continuous fermentation, with cell retention, use of inoculum, and substrate pretreatment.

The use of pectin from coffee mucilage (PI) is an alternative to reduce the environmental impact of the wet processing coffee industries by applying it in the generation of degradable films. Hence, the aim of this work was to valorize industrial coffee waste as a source of pectin to prepare biodegradable films by a novel methodology (electrospraying), perform chemical characterization of pectin, and compare the films with a control method (casting) and pectin (citric, PC). Coffee mucilage pectin composition (PI) was different, having smaller galacturonic acid content (52.2%) than PC. The presence of neutral sugars (ribose, xylose, glucose), the high degree of esterification (84.92 ± 1.70) and the diffractogram and Raman spectra results, gave the basis to consider PI as a high methoxyl pectin. PI films showed different physical properties and structure than Pc, depending on the composition and method of production. Regarding mechanical and barrier characteristics, films prepared with pectin from coffee mucilage presented a typical behavior of rigid polymers; they were also more permeable to water vapor (2.91 ± 0.02 × 10−12 g/s m Pa) and were highly biodegradable and soluble in water. Due to these characteristics, the production of films from coffee mucilage pectin becomes a suitable alternative to give added value to this unexploited waste. [ABSTRACT FROM AUTHOR]

The aim of this study was the evaluation of the influence of temperature, initial organic load, and C/N ratio in the biochemical hydrogen potential (BHP) by dark fermentation (DF) of mixtures composed of residual biomass derived from the Colombian agro-industry (pig manure, cocoa mucilage, and coffee mucilage) to contribute to residue management and the development of a bio-based economy in Colombia. A Box-Behnken experimental design was constructed, where the variables were as follows: three initial organic loads (2, 5, and 8 g COD/l), three C/N ratios (25, 35, and 45), and three different coffee and cocoa initial COD ratios (coffee mucilage (CFM):cocoa mucilage (CCM)) (1:3, 2:2, and 3:1). The experiments were carried out at thermophilic environments of 55 °C and 45 °C. Sludge from an anaerobic digester pretreated by thermal shock was used as an inoculum. The results of the experimental designs were used (one per temperature) to model the system mathematically. Also, a mathematical model MARS (multivariate adaptive regression splines) was used as an alternative method to corroborate the optimal points obtained. In both models, it was evidenced that at 55 °C and 45 °C, the best mixing conditions indicated a C/N ratio of 45 and the lowest CFM:CCM with a value close to 1:3. Likewise, it was evidenced that at the temperature of 55 °C, the optimum organic load is 8 g COD/l, while 45 °C is 2 g COD/l. Moreover, it was determined that CFM:CCM has less influence than the other independent variables studied, a factor that favors the country's scope, due to the availability of these two substrates is not permanent throughout the year. [ABSTRACT FROM AUTHOR]

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The effect performed by traditional fermentation on the sensory coffee quality in Caturra and Castillo varieties was determined. These varieties grown in seven (7) municipalities of Nariño, which were classified into two agroclimatic cluster (cluster A≤1650 m.a.s.l. and cluster B=1651-2100 m.a.s.l.). Temperature, pH, concentration of lactic acid and glucose were monitored every three hours. The samples were evaluated in final sensory quality. The average fermentation time was 18,75±3,2 and 18,94±3,4 hours for Caturra and Castillo, respectively. The pH decreased during fermentation from 5,5±0,35 and 5,6±0,26 to 4,4±0,34 and 4,4±0,5 for Caturra and Castillo, respectively. The environmental temperature was located in a range from 19,1 to 21,1ºC (cluster A) and from 17,9 to 20,1°C (cluster B). The lactic acid concentration increased after twelve (12) hours of process, reaching 6278,08 mg/L and 4435,6 mg/L for Caturra and Castillo, respectively. The glucose concentration decreased with time since 7089,1 and 7025 mg/L to 2158,56 and 2766 mg/L for Caturra and Castillo respectively. No significant differences in the final coffee quality were found.

This study presents the analysis and estimation of the hydrogen production from coffee mucilage mixed with organic wastes by dark anaerobic fermentation in a co-digestion system using an artificial neural network and fuzzy logic model. Different ratios of organic wastes (vegetal and fruit garbage) were added and combined with coffee mucilage, which led to an increase of the total hydrogen yield by providing proper sources of carbon, nitrogen, mineral, and other nutrients. A two-level factorial experiment was designed and conducted with independent variables of mucilage/organic wastes ratio, chemical oxygen demand (COD), acidification time, pH, and temperature in a 20-L bioreactor in order to demonstrate the predictive capability of two analytical modeling approaches. An artificial neural network configuration of three layers with 5-10-1 neurons was developed. The trapezoidal fuzzy functions and an inference system in the IF-THEN format were applied for the fuzzy logic model. The quality fit between experimental hydrogen productions and analytical predictions exhibited a predictive performance on the accumulative hydrogen yield with the correlation coefficient (R2) for the artificial neural network (> 0.7866) and fuzzy logic model (> 0.8485), respectively. Further tests of anaerobic dark fermentation with predefined factors at given experimental conditions showed that fuzzy logic model predictions had a higher quality of fit (R2 > 0.9508) than those from the artificial neural network model (R2 > 0.8369). The findings of this study confirm that coffee mucilage is a potential resource as the renewable energy carrier, and the fuzzy-logic-based model is able to predict hydrogen production with a satisfactory correlation coefficient, which is more sensitive than the predictive capacity of the artificial neural network model.

One of primary issues in the coffee manufacturing industry is the production of large amounts of undesirable residues, which include the pericarp (outer skin), pulp (outer mesocarp), parchment (endocarp), silver-skin (epidermis) and mucilage (inner mesocarp) that cause environmental problems due to toxic molecules contained therein. This study evaluated the optimal hydrogen production from coffee mucilage combined with organic wastes (wholesale market garbage) in a dark fermentation process. The supplementation of organic wastes offered appropriate carbon and nitrogen sources with further nutrients; it was positively effective in achieving cumulative hydrogen production. Three different ratios of coffee mucilage and organic wastes (8:2, 5:5, and 2:8) were tested in 30 L bioreactors using two-level factorial design experiments. The highest cumulative hydrogen volume of 25.9 L was gained for an 8:2 ratio (coffee mucilage: organic wastes) after 72 h, which corresponded to 1.295 L hydrogen/L substrates (0.248 mol hydrogen/mol hexose). Biochemical identification of microorganisms found that seven microorganisms were involved in the hydrogen metabolism. Further studies of anaerobic fermentative digestion with each isolated pure bacterium under similar experimental conditions reached a lower final hydrogen yield (up to 9.3 L) than the result from the non-isolated sample (25.9 L). Interestingly, however, co-cultivation of two identified microorganisms (Kocuria kristinae and Brevibacillus laterosporus), who were relatively highly associated with hydrogen production, gave a higher yield (14.7 L) than single bacterium inoculum but lower than that of the non-isolated tests. This work confirms that the re-utilization of coffee mucilage combined with organic wastes is practical for hydrogen fermentation in anaerobic conditions, and it would be influenced by the bacterial consortium involved. [ABSTRACT FROM AUTHOR]

Coffee, one of the most popular food commodities and beverage ingredients worldwide, is considered as a potential source for food industry and second-generation biofuel due to its various by-products, including mucilage, husk, skin (pericarp), parchment, silver-skin, and pulp, which can be produced during the manufacturing process. A number of research studies have mainly investigated the valuable properties of brewed coffee (namely, beverage), functionalities, and its beneficial effects on cognitive and physical performances; however, other residual by-products of coffee, such as its mucilage, have rarely been studied. In this manuscript, the production of bioethanol from mucilage was performed both in shake flasks and 5 L bio-reactors. The use of coffee mucilage provided adequate fermentable sugars, primarily glucose with additional nutrient components, and it was directly fermented into ethanol using a Saccharomyces cerevisiae strain. The initial tests at the lab scale were evaluated using a two-level factorial experimental design, and the resulting optimal conditions were applied to further tests at the 5 L bio-reactor for scale up. The highest yields of flasks and 5 L bio-reactors were 0.46 g ethanol/g sugars, and 0.47 g ethanol/g sugars after 12 h, respectively, which were equal to 90% and 94% of the theoretically achievable conversion yield of ethanol.

In this study, mucilage, a residue from coffee production, was investigated as substrate in fermentative l (+)-lactic acid production. Mucilage was provided as liquid suspension consisting glucose, galactose, fructose, xylose and sucrose as free sugars (up to 60 g L −1 ), and used directly as medium in Bacillus coagulans batch fermentations carried out at 2 and 50 L scales. Using mucilage and 5 g L −1 yeast extract as additional nitrogen source, more than 40 g L −1 lactic acid was obtained. Productivity and yield were 4–5 g L −1 h −1 and 0.70–0.77 g lactic acid per g of free sugars, respectively, irrespective the scale. Similar yield was found when no yeast extract was supplied, the productivity, however, was 1.5 g L −1 h −1 . Down-stream processing of culture broth, including filtration, electrodialysis, ion exchange chromatography and distillation, resulted in a pure lactic acid formulation containing 930 g L −1 l (+)-lactic acid. Optical purity was 99.8%. [ABSTRACT FROM AUTHOR]

Coffee mucilage (CM), a novel substrate produced as waste from agricultural activity in Colombia, the largest fourth coffee producer in the world, was used for hydrogen production. The study evaluated three ratios (C1-3) for co-digestion of CM and swine manure (SM), and an increase in organic load to improve hydrogen production (C4). The hydrogen production was improved by a C/N ratio of 53.4 used in C2 and C4. The average hydrogen production rate in C4 was 7.6 NL H 2 /L CM d, which indicates a high hydrogen potential compare to substrates such as POME and wheat starch. In this condition, the biogas composition was 0.1%, 50.6% and 39.0% of methane, carbon dioxide and hydrogen, respectively. The butyric and acetic fermentation pathways were the main routes identified during hydrogen production which kept a Bu/Ac ratio at around 1.0. A direct relationship between coffee mucilage, biogas and cumulative hydrogen volume was established. [ABSTRACT FROM AUTHOR]

This study presents the analysis and estimation of the hydrogen production from coffee mucilage mixed with organic wastes by dark anaerobic fermentation in a co-digestion system using an artificial neural network and fuzzy logic model. Different ratios of organic wastes (vegetal and fruit garbage) were added and combined with coffee mucilage, which led to an increase of the total hydrogen yield by providing proper sources of carbon, nitrogen, mineral, and other nutrients. A two-level factorial experiment was designed and conducted with independent variables of mucilage/organic wastes ratio, chemical oxygen demand (COD), acidification time, pH, and temperature in a 20-L bioreactor in order to demonstrate the predictive capability of two analytical modeling approaches. An artificial neural network configuration of three layers with 5-10-1 neurons was developed. The trapezoidal fuzzy functions and an inference system in the IF-THEN format were applied for the fuzzy logic model. The quality fit between experimental hydrogen productions and analytical predictions exhibited a predictive performance on the accumulative hydrogen yield with the correlation coefficient (R2) for the artificial neural network (> 0.7866) and fuzzy logic model (> 0.8485), respectively. Further tests of anaerobic dark fermentation with predefined factors at given experimental conditions showed that fuzzy logic model predictions had a higher quality of fit (R2 > 0.9508) than those from the artificial neural network model (R2 > 0.8369). The findings of this study confirm that coffee mucilage is a potential resource as the renewable energy carrier, and the fuzzy-logic-based model is able to predict hydrogen production with a satisfactory correlation coefficient, which is more sensitive than the predictive capacity of the artificial neural network model. [ABSTRACT FROM AUTHOR]

Coffee, one of the most popular food commodities and beverage ingredients worldwide, is considered as a potential source for food industry and second-generation biofuel due to its various by-products, including mucilage, husk, skin (pericarp), parchment, silver-skin, and pulp, which can be produced during the manufacturing process. A number of research studies have mainly investigated the valuable properties of brewed coffee (namely, beverage), functionalities, and its beneficial effects on cognitive and physical performances; however, other residual by-products of coffee, such as its mucilage, have rarely been studied. In this manuscript, the production of bioethanol from mucilage was performed both in shake flasks and 5 L bio-reactors. The use of coffee mucilage provided adequate fermentable sugars, primarily glucose with additional nutrient components, and it was directly fermented into ethanol using a Saccharomyces cerevisiae strain. The initial tests at the lab scale were evaluated using a two-level factorial experimental design, and the resulting optimal conditions were applied to further tests at the 5 L bio-reactor for scale up. The highest yields of flasks and 5 L bio-reactors were 0.46 g ethanol/g sugars, and 0.47 g ethanol/g sugars after 12 h, respectively, which were equal to 90% and 94% of the theoretically achievable conversion yield of ethanol. [ABSTRACT FROM AUTHOR]