Use of coffee mucilage as a new substrate for hydrogen production in anaerobic co-digestion with swine manure

Hernandez, Miguel; Susa, Manuel Rodríguez; Andrès, Yves

doi:10.1016/j.biortech.2014.02.101

Cited by 55 publications

(22 citation statements)

References 30 publications

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“…This observation supports that these strains possibly utilize intermediate molecules (lactic acid and acetic acid) for their growth, population, and metabolism that subsequently produce hydrogen. A similar study done by Hernández et al [34] observed that the addition of swine manure content into coffee mucilage improved the hydrogen production and methanogenic process, which is considered a major limiting factor for the hydrogen metabolic pathway. They suggested that a high carbon/nitrogen ratio (C/N) contributed toward increasing hydrogen but decreasing the methane percentage by possibly changing the metabolic pathways through dominant microorganisms and their activity [34,46,47].…”

Section: Identification Of Microorganismssupporting

confidence: 52%

“…Each anaerobic batch fermentation was carried out in a 30 L bioreactor with a working volume of 20 L under given experimental conditions: temperature range of 30-40 • C, chemical oxygen demand (COD) range of 20 g oxygen/L-60 g oxygen/L, and pH range of 5.0-8.0 until the hydrogen production was completed. The COD was determined by the 5220D Standard Chemical Oxygen Demand Method [34,35], and the initial pH was adjusted by adding 2 M of NaCl or NaOH. The quantity of total solids and volatile solids were determined following the previous work [36].…”

Section: Experimental Designmentioning

confidence: 99%

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Hydrogen Production from Coffee Mucilage in Dark Fermentation with Organic Wastes

2018

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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.

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Section: Identification Of Microorganismssupporting

confidence: 52%

Section: Experimental Designmentioning

confidence: 99%

Hydrogen Production from Coffee Mucilage in Dark Fermentation with Organic Wastes

2018

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“…The initial pH was regulated by adding agricultural lime (95% calcium carbonate (CaCO 3 ), 2% humidity, and 54% soluble calcium oxide (CaO)). Determination of COD [42,43], operation of the bioreactor, and biogas collection followed our previous work [13]. The detailed experimental design and its hydrogen profiles of maximum hydrogen (%), daily hydrogen production (L H 2 /day), and cumulative hydrogen (L H 2 ) are summarized in Table 1.…”

Section: Experimental Design and Data Collectionmentioning

confidence: 99%

Modeling Dark Fermentation of Coffee Mucilage Wastes for Hydrogen Production: Artificial Neural Network Model vs. Fuzzy Logic Model

2020

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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.

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“…Regarding the independent variables, when the substrate was composed of a single type of waste, the hydrogen production was a very low or nothing at all (test 1 and 14), in turn, the highest values recorded were in test 22, with an SC of 80:20. Hernández et al (2014) reported the generation of hydrogen with fresh coffee mucilage in co-digestion with pig manure in a 50:50 ratio. Angeriz-Campoy et al (2015) found that hydrogen production improved when organic municipal solid waste and food waste were used.…”

Section: Mathematical Models Obtained By Regressionmentioning

confidence: 99%

“…Few reports are available in Colombia about the generation of hydrogen by fermentation, Hernández et al (2014) used coffee mucilage in co-digestion with pig manure to generate hydrogen, obtaining a maximum production rate of 7.6 NLH 2 L mucilage-day -1…”

mentioning

confidence: 99%

Biohydrogen production by co-digestion of fruits and vegetable waste and coffee mucilage

Cárdenas

Zapata

2019

Rev. Fac. Nac. Agron. Medellín

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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.

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Use of coffee mucilage as a new substrate for hydrogen production in anaerobic co-digestion with swine manure

Cited by 55 publications

References 30 publications

Hydrogen Production from Coffee Mucilage in Dark Fermentation with Organic Wastes

Hydrogen Production from Coffee Mucilage in Dark Fermentation with Organic Wastes

Modeling Dark Fermentation of Coffee Mucilage Wastes for Hydrogen Production: Artificial Neural Network Model vs. Fuzzy Logic Model

Biohydrogen production by co-digestion of fruits and vegetable waste and coffee mucilage

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