Correlation between biogas yield and chemical composition of energy crops

Dandikas, V.; Heuwinkel, H.; Lichti, Fabian; Drewes, Jörg E.; Koch, Konrad

doi:10.1016/j.biortech.2014.10.019

Cited by 99 publications

(70 citation statements)

References 12 publications

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“…For the variable BY, the highest positive linear association is again indicated between NFE, with a value of 0.69, and negative between XF, with a Pearson's coeffi cient value of -0.52. These results are in agreement with the report by Dandikas et al [21], who established that for different crops, biogas yield had a positive correlation with NFE. Rath et al [20] found that in different maize genotypes there was a negative effect of XF on biogas yield.…”

Section: Resultssupporting

confidence: 83%

“…Based on the VDI 4630 standard, Dandikas et al [21] studied the correlation between the production of biogas and biomethane in connection with the chemical composition of energy crops: corn, barley, triticale, rye, potatoes, a mixture of grasses, alfalfa, millet, sunflower, and cup plant. Based on the statistical method of multiple regression, they created a statistical model to predict the production of biogas and another to predict the production of biomethane ( Table 1).…”

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confidence: 99%

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Parametric and Nonparametric Approaches for Detecting the most Important Factors in Biogas Production

Ošlaj

Šumenjak²,

Lakota³

et al. 2018

Pol. J. Environ. Stud.

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Section: Resultssupporting

confidence: 83%

mentioning

confidence: 99%

Parametric and Nonparametric Approaches for Detecting the most Important Factors in Biogas Production

Ošlaj

Šumenjak²,

Lakota³

et al. 2018

Pol. J. Environ. Stud.

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“…The graph shows a clear trend (R 2 = 0.87), because the lignin content is a very important parameter in the biomethane production. Dandikas et al (2014), Triolo et al (2011) determined the biomethane potentials as well as the lignin concentration of a range of substrates with lower lignin concentrations, i.e. grasses, manure, barley, triticale etc.…”

Section: The Impact Of Lignin On Bmpmentioning

confidence: 99%

“…Biomethane potential values of recent studies compared to experimental results from this study in relation with the lignin values of the selected substrates (Dandikas et al, 2014;Triolo et al, 2011)…”

mentioning

confidence: 97%

Effect of enzymatic pretreatment of various lignocellulosic substrates on production of phenolic compounds and biomethane potential

Schroyen

Vervaeren

Vandepitte

et al. 2015

Bioresource Technology

105

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“…It was shown that the efficiency of anaerobic digestion and saccharification are affected by biomass composition in a similar way. Lignin content had a negative impact on both conversion technologies, as anticipated and as is well established in literature , Campbell & Sederoff, 1996, Dandikas et al, 2014. A high content of hemicellulosic polysaccharides was furthermore shown to be favorable for saccharification efficiency (r = 0.74, Figures 2d and 3).…”

Section: Improving Bioconversion Efficiency By Optimization Of Biomassupporting

confidence: 52%

Targets and tools for optimizing lignocellulosic biomass quality of miscanthus

Weijde¹

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Evaluation of Miscanthus sinensis biomass quality as feedstock for conversion into different bioenergy products 95 Chapter 5Stability of cell wall composition and saccharification efficiency in Miscanthus across diverse environments 125 Chapter 6Dissecting genetic complexity of miscanthus cell wall composition and biomass quality for biofuels 149 Chapter 7Impact of drought stress on growth and quality of miscanthus for biofuel production 179 Chapter 8 General Discussion 205Acknowledgements 223 About the author 227 List of publications 228Overview of training activities 229 SummaryMiscanthus is a perennial energy grass characterized by a high productivity and resource-use efficiency, making it an ideal biomass feedstock for the production of cellulosic biofuels and a wide range of other biobased value-chains. However, the large-scale commercialization of converting biomass into cellulosic biofuel is hindered by our inability to efficiently deconstruct the plant cell wall. The plant cell wall is a complex and dynamic structure and its components are extensively cross-linked into an unyielding matrix. The production of biofuel depends on the extraction, hydrolysis and fermentation of cell wall polysaccharides, which currently requires energetically and chemically intensive processing operations that negatively affect the economic viability and sustainability of the industry. To address this challenge it is envisioned that the bioenergy feedstocks can be compositionally tailored to increase the accessibility and extractability of cell wall polysaccharides, which would allow a more efficient conversion of biomass into biofuel under milder processing conditions.Extensive phenotypic and genetic diversity in cell wall composition and conversion efficiency was observed in different miscanthus species, including M. sinensis, M. sacchariflorus and interspecific hybrids between these two species. In multiple experiments a twofold increase in the release of fermentable sugars was observed in 'high quality' accessions compared to 'low quality' accessions. The exhaustive characterization of eight highly diverse M. sinensis genotypes revealed novel and distinct breeding targets for different bioenergy conversion routes. The key traits that contributed favourably to the conversion efficiency of biomass into biofuel were a high content of hemicellulosic polysaccharides, extensive cross-linking of hemicellulosic polysaccharides (revealed by a high content of trans-ferulic acids and a high ratio of arabinose-to-xylose), a low lignin content and extensive incorporation of paracoumaric acid into the lignin polymer.Lignin is widely recognized as one of the key factors conveying recalcitrance against enzymatic deconstruction of the cell wall. The incorporation of para-coumaric acid into the lignin polymer is hypothesized to make lignin more easily degradable during alkaline pretreatment, one of the most widely applied processing methods that is used to pretreat biomass prior to enzymatic hydrolysis. Previous studies have shown that red...

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Correlation between biogas yield and chemical composition of energy crops

Cited by 99 publications

References 12 publications

Parametric and Nonparametric Approaches for Detecting the most Important Factors in Biogas Production

Parametric and Nonparametric Approaches for Detecting the most Important Factors in Biogas Production

Effect of enzymatic pretreatment of various lignocellulosic substrates on production of phenolic compounds and biomethane potential

Targets and tools for optimizing lignocellulosic biomass quality of miscanthus

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