2017
DOI: 10.1016/j.biortech.2016.12.003
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Alkali pretreatment at ambient temperature: A promising method to enhance biomethanation of rice straw

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Cited by 110 publications
(36 citation statements)
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“…A study on the alkaline pretreatment of rice straw for biomethane production reported that 1% NaOH at room temperature for 3 h significantly reduces the hemicellulose and lignin contents while the cellulose content remains unaltered. This led to an increase of methane yield by more than 34% compared to untreated rice straw (Shetty et al, 2017). Likewise, Talha et al (2016) optimized the conditions of alkaline pretreatment of sugarcane bagasse and filter mud to enhance biomethanation.…”
Section: Alkali Pretreatmentmentioning
confidence: 99%
“…A study on the alkaline pretreatment of rice straw for biomethane production reported that 1% NaOH at room temperature for 3 h significantly reduces the hemicellulose and lignin contents while the cellulose content remains unaltered. This led to an increase of methane yield by more than 34% compared to untreated rice straw (Shetty et al, 2017). Likewise, Talha et al (2016) optimized the conditions of alkaline pretreatment of sugarcane bagasse and filter mud to enhance biomethanation.…”
Section: Alkali Pretreatmentmentioning
confidence: 99%
“…strains were analyzed for the presence of these enzyme activities as well as the maximum expression and activity conditions. A secreted enzyme from the culture media of each strain was collected daily and tested for the two enzyme activities at a variety of temperatures (30-70 C) and pH (3)(4)(5)(6)(7). Table 2 shows the highest activity achieved for the expression and activity condition of each of the two enzymes.…”
Section: Isolation and Characterization Of Lignin-degrading Bacterialmentioning
confidence: 99%
“…The simulated flux values were then obtained from the developed equations with coefficient of determination ( R 2 ) to assess model suitability ( R 2 > 0.7). In many controlled process experiments, parameter optimization for microbial, chemical, and physical parameters an R 2 values >0.75 is considered significant (e.g., Shetty et al, ). In this experiment where multiple unknown and unidentified geobiological parameter might be involved an additional leniency of 5% was applied on the parameterization process, thus considering R 2 > 0.7 as significant fitness of the model.…”
Section: Methodsmentioning
confidence: 99%