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1985, Biotechnology and Bioengineering
The production of sugars by the enzymatic hydrolysis of cellulose is a two‐step process that includes conversion of the intermediate cellobiose to glucose by β‐glucosidase. The hydrolysis was followed by analyzing the two sugar products (cellobiose and glucose). The enzyme showed maximum activity at pH 4.8. Thermal deactivation was significant at temperatures above 45°C. At 50°C (optimum temperature) thermal deactivation was found to follow first‐order kinetics. Several models were tested by modeling the kinetics of the reaction. Their parameter values were determined by numerical optimization, including temperature dependence. The best fitting model was a competitive product inhibition for the two reactions in the operational range.
Industrial Biotechnology, 2013
The enzymatic hydrolysis of cellulose is still considered a main limiting step in the biological production of biofuel from lignocellulosic biomass. This step involves the action of at least three types of cellulose-degrading enzymes-endoglucanases, cellobiohydrolases, and b-glucosidases-acting in a synergistic way. This enzymatic cocktail, usually secreted by Trichoderma reesei at industrial scale, has already been well studied, and modeling of the hydrolysis kinetics widely investigated. However, most of these models are empirical and few of them distinguish the kinetic activity of each enzyme. This article provides a new way to design a functional kinetic model that dissociates the activity of b-glucosidases as a final homogeneous reaction, and the hydrolysis of cellulose by cellobiohydrolases in a heterogeneous phase. The predictive model combines a Michaelis-Menten (M-M) approach for the b-glucosidase action and a methodology based on Langmuir assumptions to describe the processive activity on solid substrate performed by cellobiohydrolases. We assess the influences of temperature, enzyme, and substrate concentration, as well as high glucose content. The suggested kinetic model allows for good prediction of all the experimental data.
Enzyme and microbial technology, 1985
A generalized mechanistic model for the enzymatic hydrolysis of cellulose is developed and expressed mathematically. The model is based on Michaelis-Menten-type kinetics for concurrent random and endwise attack of the substrate involving end-product inhibitions and three types of enzymes: an endo-p-1,4glucanase, an exo-p-1 ,Cglucanase, and p-glucosidase. Basic parameters of the model which can explain synergistic and other effects observed experimentally are quantified and discussed. It is shown that cellulose degradation kinetics are expected to be strongly affected by the ratio of endo-to exocellulases in the reaction mixture as indicated by previous experimental data, and the substrate degree of polymerization, a factor not fully appreciated in previous studies, which appear to be overridingly important in many practical cases.
Applied Biochemistry and Biotechnology, 2004
The kinetics of exoglucanase (Cel7A) from Trichoderma reesei was investigated in the presence of cellobiose and 24 different enzyme/Avicel ratios for 47 h, in order to establish which of the eight available kinetic models best explained the factors involved. The heterogeneous catalysis was studied and the kinetic parameters were estimated employing integrated forms of Michaelis-Menten equations through the use of nonlinear least squares. It was found that cellulose hydrolysis follows a model that takes into account competitive inhibition by cellobiose (final product) with the following parameters: K m = 3.8 mM, K ic = 0.041 mM, k cat = 2 h-1 (5.6 × 10-4 s-1). Other models, such as mixed type inhibition and those incorporating improvements concerning inhibition by substrate and parabolic inhibition, increased the modulation performance very slightly. The results support the hypothesis that nonproductive enzyme substrate complexes, parabolic inhibition, and enzyme inactivation (Selwyn test) are not the principal constraints in enzymatic cellulose hydrolysis. Under our conditions, the increment in hydrolysis was not significant for substrate/enzyme ratios <6.5.
Biotechnology for Biofuels, 2019
Background: Enzymatic hydrolysis is a major step for cellulosic ethanol production. A thorough understanding of enzymatic hydrolysis is necessary to help design optimal conditions and economical systems. The original HCH-1 (Holtzapple-Caram-Humphrey-1) model is a generalized mechanistic model for enzymatic cellulose hydrolysis, but was previously applied only to the initial rates. In this study, the original HCH-1 model was modified to describe integrated enzymatic cellulose hydrolysis. The relationships between parameters in the HCH-1 model and substrate conversion were investigated. Literature models for long-term (> 48 h) enzymatic hydrolysis were summarized and compared to the modified HCH-1 model. Results: A modified HCH-1 model was developed for long-term (> 48 h) enzymatic cellulose hydrolysis. This modified HCH-1 model includes the following additional considerations: (1) relationships between coefficients and substrate conversion, and (2) enzyme stability. Parameter estimation was performed with 10-day experimental data using α-cellulose as substrate. The developed model satisfactorily describes integrated cellulose hydrolysis data taken with various reaction conditions (initial substrate concentration, initial product concentration, enzyme loading, time). Mechanistic (and semi-mechanistic) literature models for long-term enzymatic hydrolysis were compared with the modified HCH-1 model and evaluated by the corrected version of the Akaike information criterion. Comparison results show that the modified HCH-1 model provides the best fit for enzymatic cellulose hydrolysis. Conclusions: The HCH-1 model was modified to extend its application to integrated enzymatic hydrolysis; it performed well when predicting 10-day cellulose hydrolysis at various experimental conditions. Comparison with the literature models showed that the modified HCH-1 model provided the best fit.
Enzyme and Microbial Technology, 1985
The kinetics of enzymatic cellulose hydrolysis in a plug-flow column reactor catalysed by cellulases [see 1, EC3.2.1.4] from Trichoderma longibrachiatum adsorbed on cellulose surface have been studied. The maximum substrate conversion achieved was 90-94%. The possibility of enzyme recovery for a reactor of this type is discussed. A mathematical model for enzymatic cellulose hydrolysis in a plug-flow column reactor has been developed. The model allows for the component composition of the cellulase complex, adsorption of cellulases on the substrate surface, inhibition by reaction products, changes in cellulose reactivity and the inactivation of enzymes in the course of hydrolysis. The model affords a reliable prediction of the kinetics of D-glucose and cellobiose formation from cellulose in a column reactor as well as the degree of substrate conversion and reactor productivity with various amounts of adsorbed enzymes and at various flow rates.
Biotechnology and Bioengineering, 1987
The process of enzymatic cellulose saccharification has been widely investigated recently since cellulose is the most abundant renewable resource and glucose formed as a product of hydrolysis can be converted to ethanol, microbial products, and other chemicals. The efficiency of enzymatic cellulose hydrolysis is known to be affected by many factors related to the source of the cellulase preparation,14 composition and structure of cellulosic material, the method of its pretreatment,'-1° process conditions,"I2 and the reactor design.'",." Since these factors are closely interrelated, a complex study of hydrolysis and a quantitative estimation of the role of the individual factors affecting its efficiency are needed to optimize the process.
Process Biochemistry, 2018
A kinetic model based on Michaelis-Menten assumptions is developed here for enzymatic hydrolysis of cellulose using cellulase enzyme derived from Trichoderma reesei. Further, to assess the inhibition of enzyme and the nature of inhibition by different sugars (glucose, galactose, mannose, xylose and cellobiose) the primary kinetic model is modified with the inhibition kinetics. The enzymatic reaction was carried out at pH = 4.8, temperature = 50°C, solid loading of 1:20 and at 100 rpm stirrer speed. It was observed among all the sugars, only xylose (five carbon sugars) showed non-competitive inhibition with K i = 27.2 mM and V max = 0.19 g L −1 h −1. Glucose and cellobiose manifested competitive inhibition with almost comparable inhibition constants (K i) of 24.7 and 26.3 mM respectively, while V max = 0.26 g L −1 h −1. On the contrary, with galactose and mannose, the inhibition constants decrease to 10.9 and 11.1 mM respectively. Statistical analysis shows that cellobiose attributes to a maximum inhibition with 72% reduction in reducing sugar production. On the contrary, the minimum inhibitory effect with 11% reduction in sugar production was observed with xylose. At the end, ANOVA analysis manifests that the effect of different sugars are much significant in inhibiting the enzyme compared to the substrate concentration in case with the cellulase enzyme from Trichoderma reesei.
Energy and Sustainability V, 2014
Biofuel production such as ethanol from lignocellulosic biomass consists of three fundamental processes: pretreatment, enzymatic hydrolysis, and fermentation. Enzymatic hydrolysis uses two types of enzymes simultaneously: endoglucanase I (EG 1) and cellobiohydrolase I (CBH 1), to break the cellulose chains into sugar in the form of cellobiose or glucose. We studied a currently proposed kinetic model for enzymatic hydrolysis of cellulose that uses the population balance equation. The model describes the changes in the cellulose chain length distribution. The complexity of the model makes finding the analytical solution difficult. Therefore, we split the full model into two cases of individual enzyme hydrolysis action and perform mathematical analysis of a single pure enzyme of both cases. The approximate solutions for both cases were derived by employing the asymptotic analysis method. The integrodifferential equation in the first case is solved using Laplace transform. Some significant characteristics are captured. The higher the rate of exposure of cellulose substrates to enzymes, the higher the number of cellulose chains generated from the breakage process. And also, the rate coefficient for CBH1 to locate and thread a reducing end of a cellulose chain is a key factor in bioconversion.
Applied Biochemistry and Biotechnology, 2014
The objective of this study is to perform a comprehensive enzyme kinetics analysis in view of validating and consolidating a semimechanistic kinetic model consisting of homogeneous and heterogeneous reactions for enzymatic hydrolysis of lignocellulosic biomass proposed by the U.S. National Renewable Energy Laboratory (Kadam et al., Biotechnol Prog 20(3):698-705, 2004) and its variations proposed in this work. A number of dedicated experiments were carried out under a range of initial conditions (Avicel® versus pretreated barley straw as substrate, different enzyme loadings and different product inhibitors such as glucose, cellobiose and xylose) to test the hydrolysis and product inhibition mechanisms of the model. A nonlinear least squares method was used to identify the model and estimate kinetic parameters based on the experimental data. The suitable mathematical model for industrial application was selected among the proposed models based on statistical information (weighted sum of square errors). The analysis showed that transglycosylation plays a key role at high glucose levels. It also showed that the values of parameters depend on the selected experimental data used for parameter estimation. Therefore, the parameter values are not universal and should be used with caution. The model proposed by Kadam et al. (Biotechnol Prog 20(3):698-705, 2004) failed to predict the hydrolysis phenomena at high glucose levels, but when combined with transglycosylation reaction(s), the prediction of cellulose hydrolysis behaviour over a broad range of substrate concentrations (50-150 g/L) and enzyme loadings (15.8-31.6 and 1-5.9 mg protein/g cellulose for Celluclast and Novozyme 188, respectively) was possible. This is the first study introducing transglycosylation into the semimechanistic model. As long as these type of models are used within the boundary of their validity (substrate type, enzyme source and substrate concentration), they can support process design and technology improvement efforts at pilot and full-scale studies.
Applied Biochemistry and Biotechnology, 2006
The integrated forms of the Michaelis-Menten equation assuming variable substrate (depletion) or constant substrate concentration were used to study the effect of the simultaneous presence of two exoglucanase Cel7A inhibitors (cellobiose and ethanol) on the kinetics of cellulose hydrolysis. The kinetic parameters obtained, assuming constant substrate (K m = 21 mM, K ic = 0.035 mM; K icl = 1.5 × 10 15 mM; k cat = 12 h-1) or assuming variable substrate (K m = 16 mM, K ic = 0.037 mM; K icl = 5.8 × 10 14 mM; k cat = 9 h-1), showed a good similarity between these two alternative methodologies and pointed out that both ethanol and cellobiose are competitive inhibitors. Nevertheless, ethanol is a very weak inhibitor, as shown by the large value estimated for the kinetic constant K icl. In addition, assuming different concentrations of initial accessible substrate present in the reaction, both inhibition and velocity constants are at the same order of magnitude, which is consistent with the obtained values. The possibility of using this kind of methodology to determine kinetic constants in general kinetic studies is discussed, and several integrated equations of different Michaelis-Menten kinetic models are presented. Also examined is the possibility of determining inhibition constants without knowledge of the true accessible substrate concentration. 28 Bezerra et al.
2019
Corn cob is one of lignocellulosic material used for bioethanol production due to its high content of cellulose which can be converted into glucose through enzymatic hydrolysis. Unfortunately, the hydrolysis process is time consuming and the yield is relatively low. It is necessary to develop a more efficient process by applying optimum conditions. The objective of this research is to study the effect of the substrate concentration and the stirring rate on the amount of the glucose produced, to optimize these parameters and to derive a kinetic model of the enzymatic hydrolysis process studied. Pre-treated corn cobs and multiple enzymes (Cellic® C-Tec2 and Cellic® H-Tec2 from Novozymes) are used. The results show that the higher substrate concentration and the higher stirring rate lead to a higher amount of glucose. However, if the stirring rate is greater than 150 rpm, the enzymes activity decreases as they are sensitive to a mechanical stress. The optimum values of the substrate co...
In this paper, the kinetics of enzymatic hydrolysis of cellulose samples with different structural characteristics has been studied using the equation of Avrami-Kolmogarov-Erofeev (AKE): ln(1-α) = -K tn, where α is conversion degree; K is effective rate constant; t is time, and n is effective order of the kinetic process. It was shown that AKE-equation adequately describes the experimental kinetic curves. In case of hydrolysis of highly crystalline microcrystalline cellulose, the coefficient n in the AKE-equation is 0.5, which is typical for diffusion mechanism of the process. With the decrease of crystallinity degree of cellulose, the coefficient n increases and reaches 1 for completely amorphous cellulose in a wet state that indicates on the reaction of first-order. The intermediate n-value from 0.5 to 1 shows that the enzymatic hydrolysis of the sample is limited by diffusion of the large enzyme molecules into the cellulose structure. Drying of cellulose samples causes a decrease of pore volume and amplifies the contribution of diffusion to integral hydrolysis process. Effective rate constant K of enzymatic hydrolysis also increases with decreasing of crystallinity of the cellulose sample. Furthermore, the K-value for the wet sample was higher than for the dry sample. The use of parameters of AKE-equation
Biotechnology and Bioengineering, 1987
A reactor's design is of great importance in the enzymatic hydrolysis of cellulose. Three types of reactors or variations of these are usually in use: a batchstirred which is the most often employed, a continuous-stirred tank reactor with an ultrafiltration and a continuous plug-flow column reactor.8-"
Metabolic Engineering, 2008
Microcrystalline cellulose (Avicel) was subjected to three different pretreatments (acid, alkaline, and organosolv) before exposure to a mixture of cellulases (Celluclast). Addition of beta-glucosidase, to avoid the well-known inhibition of cellulase by cellobiose, markedly accelerated cellulose hydrolysis up to a ratio of activity units (beta-glucosidase/cellulase) of 20. All pretreatment protocols of Avicel were found to slightly increase its degree of crystallinity in comparison with the untreated control. Adsorption of both cellulase and beta-glucosidase on cellulose is significant and also strongly depends on the wall material of the reactor. The conversion-time behavior of all four states of Avicel was found to be very similar. Jamming of adjacent cellulase enzymes when adsorbed on microcrystalline cellulose surface is evident at higher concentrations of enzyme, beyond 400 U/L cellulase/8 kU/L beta-glucosidase. Jamming explains the observed and well-known dramatically slowing rate of cellulose hydrolysis at high degrees of conversion. In contrast to the enzyme concentration, neither the method of pretreatment nor the presence or absence of presumed fractal kinetics has an effect on the calculated jamming parameter for cellulose hydrolysis.
Biocatalysis and Biotransformation, 2007
The kinetics of cellulose hydrolysis by commercially available Cellubrix were described mathematically, with Avicel and wheat straw as substrates. It was demonstrated that hydrolysis could be described by three reactions: direct glucose formation and indirect glucose formation via cellobiose. Hydrolysis did not involve any soluble oligomers apart from low amounts of cellobiose. Phenomena included in the mathematical model were substrate limitation, adsorption of enzyme onto substrate, glucose inhibition, temperature dependency of reaction rates, and thermal enzyme inactivation. In addition, substrate heterogeneity was described by a recalcitrance constant. Model parameters refer to both enzyme characteristics and substrate-specific characteristics. Quantitative model development was carried out on the basis of Avicel hydrolysis. In order to describe wheat straw hydrolysis, wheat straw specific parameter values were measured. Updating the pertinent parameters for wheat straw yielded a satisfactory description of wheat straw hydrolysis, thus underlining the generic potential of the model.
Applied Biochemistry and Biotechnology, 2000
Acids catalyze the hydrolysis of cellulose and hemicellulose to produce sugars that organisms can ferment to ethanol and other products. However, advanced low- and no-acid technologies are critical if we are to reduce bioethanol costs to be competitive as a pure fuel. We believe carbohy drate oligomers play a key role in explaining the performance of such hydrolysis processes and that kinetic models would help us understand their role. Various investigations have developed reaction rate expressions based on an Arrhenius temperature dependence that is first order in substrate concentration and close to first order in acid concentration. In this article, we evaluate these existing hydrolysis models with the goal of providing a foundation for a unified model that can predict performance of both current and novel pretreatment process configurations.
Biotechnology and Bioengineering, 1988
Cellulose materials can readily be degraded into cellobiose and glucose by hydrolysis of the enzymes cellulase and P-glucosidase in aqueous media. Product inhibition does, however, retard the reaction rate and reduce productivity. This may be avoided by carrying out the degradation of cellulose in an aqueous two-phase system, which permits the enzymes and the substrate to be partitioned to one phase and the products to be extracted into a second phase. In addition, two-phase systems also allow recycling of the enzymes. Here, three models previously developed for "one-phase" enzymic degradation are compared to data from enzymic degradation in an aqueous two-phase system. The models tested agreed relatively well with batch experiments during a period of 200 h. For one of the models tested, continuous degradation also gave accurate agreement.
Acid Hydrolysis of Cellulose. Part I. Experimental Kinetic Analysis, 1993
The main objective of this investigation is to obtain experimental data for the sulfuric acid hydrolysis of cotton and mechanically pretreated cotton fibres. These data indicate that some glycosidic bonds of cellulose have very high accessibility to catalytic ions. It was also shown that milling increases the accessibility of some glycosidic bonds of cellulose and decreases the volume of the crystalline regions of cotton. From the glucose yield versus time data, it was found that the effect of milling on the rate of cellulose depolymerization depends on the reactivity and accessibility of the glycon rings of cellulose. It was also found that at 1OO " C, the rate of cellulose depolymerization was not affected by the extraction of cotton wax and this was related to a rolling up process of cotton wax caused by melting. The kinetic constants of glucose degradation and cellobiose hydrolysis have been determined for the stochastic simulation of cellulose depolymerization which is the subject of the second part of this work. L'objectif principal de ce travail est l'obtention de donnCes exp6rimentales sur l'hydrolyse acide (sulfurique) des fibres du coton nature1 et du coton pretraitt mtcaniquement. Les rCsultats obtenus montrent que certaines liaisons glycosi-diques de la cellulose prksentent une grande accessibilitk aux ions catalytiques. Nous avons aussi montrC qu'un pretraitement mCcanique augmente I'accessibilite de certains liens glycosidiques de la cellulose et diminue le volume des regions cristallines du coton. Les donnCes exPCrimentales du glucose produit en fonction du temps, indiquent que les effets d'un pritraitement mtcanique sur la vitesse de dipolymerisation de la cellulose dCpendent de la rkactivitd et de l'acces-sibilitC des glycones de la cellulose. Nous avons aussi constat6 qu'il 1OO " C, la vitesse de d6polymirisation de la cellulose n'est pas affectee par l'extraction des cires du coton. Nous avons relit5 celil il une globulisation des cires causCe par leur fusion. Les constantes cinktiques de la degradation du glucose et de l'hydrolyse du cellobiose ont CtC deter-minees pour la simulation stochastique de la ddpolymerisation de la cellulose qui fera l'objet de la seconde partie de ce travail.
Kinetic aspects of enzyme hydrolysis of cellulose fiber material, 2015
The kinetic dependences characterizing enzyme hydrolysis of cellulose fiber material (bleached hardwood pulp) by cellulasic enzyme complexes are studied. It is found that the topochemical mechanism provides a good interpretation of the cellulase action. The kinetics of the process is described by the modified topochemical equation of Prout – Tompkins. It is applied to the processes starting on the easily accessible outer surface of the pulp to continue further through by a gradual penetration to the capillary system of the fiber. The structural features of the system pulp – enzyme control the rate of the process. The activation energy of the hydrolysis is found constant indicating that the energy characteristics of the cellulose are identical on the surface and in the bulk of the fiber matrix. The pre-exponential factor accounts for the accessibility and the varying dimensions of the reaction area, which is formed by the cellulose–enzyme complexes and change during the process. The rate decrease in the course of the process is determined not only by the pre-exponential factor decrease but by the enzyme inhibition as well.
Journal of Chemical Engineering of Japan, 1988
Waste and Biomass Valorization, 2014
ABSTRACT According to Food and Agricultural Organization (FAO), one-third of food produced globally for human consumption (nearly 1.3 billion tonnes) is lost along the food supply chain. In many countries food waste is currently landfilled or incinerated together with other combustible municipal wastes for possible recovery of energy. However, these two options are facing more and more economic and environmental stresses. Due to its organic- and nutrient-rich nature, theoretically food waste can be converted to valuable products (e.g. bio-products such as methane, hydrogen, ethanol, enzymes, organic acids, chemicals and fuels) through various fermentation processes. Such conversion of food waste is potentially more profitable than its conversion to animal feed or transportation fuel. Food waste valorisation has therefore gained interest, with value added bio-products such as methane, hydrogen, ethanol, enzymes, organic acids, chemicals, and fuels. Therefore, the aim of this review is to provide information on the food waste situation with emphasis on Asia–Pacific countries and the state of the art food waste processing technologies to produce enzymes.
SN Applied Sciences
Cost-effective production of bioethanol from waste material is becoming the need of the hour to combat the exhaustive nature of fossil fuel. In this study, bioethanol was produced from microwave-pretreated kitchen waste at high dry material consistency. Pretreatment was performed for 30 min at a constant power of 90 W. Liquefaction/saccharification was done with in-house produced amylase from Bacillus licheniformis MTCC 1483. The liquefaction step was optimized using response surface modeling. Three factors, viz. pH, concentration of dry substrate and amylase, were optimized by using reducing sugar and ethanol yield as response. The optimum conditions of input parameters obtained were pH 7.5, dry material 40% (w/v) and amylase 15 IU g −1. The process developed in the present study leads to 0.129 g ml −1 , i.e., 0.32 g per g biomass ethanol production. The novelty of the manuscript lies in the fact that no acid/alkali hydrolysis was carried out for the release of reducing sugar. Instead, microwave treatment was carried out at low power for longer time so as to release maximum sugar. The cost incurred in bioethanol production was also estimated by taking cost of chemicals, instruments and operating cost in account. The total cost of bioethanol produced in the present study was calculated as 0.143 $/l of ethanol. A 8.32-fold decrease in price of ethanol produced in the present study was observed when compared to the market selling price of ethanol. This makes the developed process economically and industrially feasible.
Biomass Conversion and Biorefinery
Environmental Progress & Sustainable Energy, 2018
Fermentation, 2021
The primary objective of this research is to study ways to increase the potential of energy production from food waste by co-production of bioethanol and biomethane. In the first step, the food waste was hydrolysed with an enzyme at different concentrations. By increasing the concentration of enzyme, the amount of reducing sugar produced increased, reaching a maximum amount of 0.49 g/g food waste. After 120 h of fermentation with Saccharomyces cerevisiae, nearly all reducing sugars in the hydrolysate were converted to ethanol, yielding 0.43–0.50 g ethanol/g reducing sugar, or 84.3–99.6% of theoretical yield. The solid residue from fermentation was subsequently subjected to anaerobic digestion, allowing the production of biomethane, which reached a maximum yield of 264.53 ± 2.3 mL/g VS. This results in a gross energy output of 9.57 GJ, which is considered a nearly 58% increase in total energy obtained, compared to ethanol production alone. This study shows that food waste is a raw ma...
Sustainability
The global demand for fuel keeps increasing daily. The massive depletion of fossil fuels and their influence on the environment as pollution is a severe problem. Meanwhile, food waste disposal is also a complex problem in solid-waste management since one-third of every food consumed is discarded as waste. The standard waste management methods, including food waste incineration and landfilling, are considered hazardous to the environment. Food waste constituents are majorly starch-based and contain various biomolecules, including sugar, lipids, proteins, vitamins, cellulose, etc. These polysaccharides can be hydrolysed into monosaccharides such as glucose, which can then be fermented using microorganisms to produce ethanol through the fermenting of sugars derived from enzymatic hydrolysis treatment of food wastes. The human food system is rich in starch, which can be a potential resource for bioethanol production.
Frontiers in Energy Research, 2018
Organic fraction of municipal solid waste and its proper disposal is becoming a serious challenge around the world. Environmental pollution, public health risk, and scarcity of dumping land are the aftereffects of its improper disposal. Embodied energy recovery associated with the organic waste along with waste minimization may be achieved using anaerobic digestion. The chemical composition of the substrate plays a crucial role among the factors responsible for digestion performance and cumulative methane production. Treatment of substrate to enhance the digestion performance is gaining momentum in the recent years. This review provides an overview of different treatment methodologies including mechanical, thermal, chemical, biological, ultrasonic, and microwave approaches to enhance methane yield of anaerobic digestion of organic fraction of municipal solid waste (OFMSW). Environmental impact analysis of treatment techniques, along with comparison of treatment methodologies and techno-economic assessment, has also been discussed to provide a proper insight into the various processing methods.
Sustainability
The Sustainable Development Goals along with national policies pave the way to a sustainable, circular, and resource efficient development model. The environmental scenario could change with the promotion of biofuels such as bioethanol. Recent research on bioethanol aspires to reduce the costs production, via the optimization of process variables and the increase in ethanol yields. This study presented a stepwise upscaling of bioethanol production from dried source-separated municipal biowaste. Three different scales (250 mL, 4 L, 100 L) were examined applying advanced ethanol production via simultaneous saccharification and fermentation. The bioprocess runs at each of the three scales and produced very similar ethanol yields, indicating excellent scalability. The validated optimum conditions at the pilot scale were 25% solids loading, Spirizyme 40 μL/g starch, NS87014 175 μL/g cellulose, and 2% S. cerevisiae. The results from the pilot trials were very successful and repeatable. Τh...
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