The use of ionic liquid pretreatment of rye straw for bioethanol production

Smuga‐Kogut, Małgorzata; Zgórska, K; Kogut, Tomasz; Kukiełka, K.; Wojdalski, J.; Kupczyk, A.; Dróżdż, B.; Wielewska, Izabela

doi:10.1016/j.fuel.2016.11.066

Cited by 50 publications

(16 citation statements)

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“…Therefore, due to the high amounts of transformable sugars (fructose, glucose, and sucrose) in watermelon waste, this study suggests that watermelon waste could be used as one of the main sources of bioethanol production in Iran. In various studies, the researchers have reported that bioethanol can be obtained from cellulose, sugar and starch sources in agricultural products (Chintagunta et al, ; Salehi, Taghizadeh‐Alisaraei, Shahidi, & Jahanbakhshi, ; Smuga‐Kogut et al, ).…”

Section: Resultsmentioning

confidence: 99%

“…The most abundant and cheapest source for the production of bioethanol is agricultural waste that is left after harvesting products such as corn, wheat, cantaloupe, barley, rice, potatoes, beans, vegetables, etc. (Chintagunta, Jacob, & Banerjee, ; Jahanbakhshi, Abbaspour‐Gilandeh, Ghamari, & Heidarbeigi, ; Najafi, Ghobadian, Tavakoli, & Yusaf, ; Salehi, Taghizadeh‐Alisaraei, Jahanbakhshi, & Shahidi, ; Smuga‐Kogut et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Processing watermelon waste using Saccharomyces cerevisiae yeast and the fermentation method for bioethanol production

Jahanbakhshi

Salehi

2019

J Food Process Engineering

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Bioethanol is a source of energy for the future when petroleum is going to finish. The aim of this study is to assess bioethanol production from watermelon waste using Saccharomyces cerevisiae (S. cerevisiae) yeast and fermentation method. The test was replicated three times in 35 hr at three different fermenter agitator speeds and three levels of yeast. The results showed that about 35.5 g of bioethanol was obtained from each kilogram of watermelon. Investigating different variables shows that the fermenter agitator speed of 120 rpm and the yeast amount of 5 g could lead to the best yield in the process of fermenting watermelon waste for the purpose of producing bioethanol. The results of the evaluating the artificial neural network (ANN) model and adaptive neuro‐fuzzy inference system (ANFIS) in predicting bioethanol production from watermelon waste with the highest coefficient of determination (R2) were 0.9895 and 0.9993, respectively. These results indicate that ANNs and ANFIS are effective in predicting bioethanol production from watermelon waste. Practical Applications Advanced, green, clean, and sustainable processing technologies to reduce watermelon waste. Fermentation of agricultural waste in the shortest time (30 hr). Investigating important factors in waste fermentation process. The performance of ANN and ANFIS network in predicting bioethanol production.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Processing watermelon waste using Saccharomyces cerevisiae yeast and the fermentation method for bioethanol production

Jahanbakhshi

Salehi

2019

J Food Process Engineering

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“…According to provisions of the Act on electromobility and alternative fuels (Journal of Laws of 2018 item 317), an electric vehicle is "a motor vehicle... driven only by electrical energy accumulated by connecting to an external source of supply." Worth noting is also the definition of a hybrid vehicle, that is: "a motor vehicle... with a diesel-electric propulsion system, in which electrical energy is accumulated by connection to an external source of supply" [9]. It means that, for instance, "a hybrid Toyota", according to the provisions of the act, is not a hybrid vehicle, as it cannot be charged with an "external source of supply" (as of 25 April 2018, the only exception is Prius Plug-in [10]).…”

Section: Basic Legal Regulationsmentioning

confidence: 99%

Selected Aspects of Biofuels Market and the Electromobility Development in Poland: Current Trends and Forecasting Changes

et al. 2019

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This work presents basic information associated with markets of selected alternative fuels used in transport, such as methyl esters, conventional bioethanol and lignocellulosic bioethanol, and the market of electrical vehicles. Legal conditions, which stimulate development and regulate the mode of functioning of the liquid biofuel market until 2020 are discussed, based on provisions of EU directives. Data on biofuel production in Poland are presented, as well as biofuel consumption in the EU, the USA and Brazil in 2017. The most important conclusions of the proposal for a directive on the promotion of renewable energy sources in transport in EU member states in years 2021–2030 are discussed. The authors have also indicated the key legal and territorial conditions associated with the development of electromobility and present basic information on electric vehicles in Poland and Europe. The results of the research on the attractiveness of these sectors in 2018 are presented and compared with the results obtained in years 2007–2017. A score-based sector attractiveness method was used in the research.

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“…Rye ( Secale cereale L.) is an allogamous, diploid (RR, 2 n = 2x = 14), and widely grown cereal crop in northern Europe [ 22 ]. In recent years, it has also been used for substrate for bioethanol and biogas production [ 23 , 24 ]. Rye is reported to have a large genome of approximately 7.9 Gb [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Transcriptome Analysis, Conserved Regulatory Elements and Associated Transcription Factors Related to Accumulation of Fusariotoxins in Grain of Rye (Secale cereale L.) Hybrids

Mahmood

Orabi²,

Kristensen³

et al. 2020

IJMS

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Detoxification of fusariotoxin is a type V Fusarium head blight (FHB) resistance and is considered a component of type II resistance, which is related to the spread of infection within spikes. Understanding this type of resistance is vital for FHB resistance, but to date, nothing is known about candidate genes that confer this resistance in rye due to scarce genomic resources. In this study, we generated a transcriptomic resource. The molecular response was mined through a comprehensive transcriptomic analysis of two rye hybrids differing in the build-up of fusariotoxin contents in grain upon pathogen infection. Gene mining identified candidate genes and pathways contributing to the detoxification of fusariotoxins in rye. Moreover, we found cis regulatory elements in the promoters of identified genes and linked them to transcription factors. In the fusariotoxin analysis, we found that grain from the Nordic seed rye hybrid “Helltop” accumulated 4 times higher concentrations of deoxynivalenol (DON), 9 times higher nivalenol (NIV), and 28 times higher of zearalenone (ZEN) than that of the hybrid “DH372” after artificial inoculation under field conditions. In the transcriptome analysis, we identified 6675 and 5151 differentially expressed genes (DEGs) in DH372 and Helltop, respectively, compared to non-inoculated control plants. A Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that DEGs were associated with glycolysis and the mechanistic target of rapamycin (mTOR) signaling pathway in Helltop, whereas carbon fixation in photosynthesis organisms were represented in DH372. The gene ontology (GO) enrichment and gene set enrichment analysis (GSEA) of DEGs lead to identification of the metabolic and biosynthetic processes of peptides and amides in DH372, whereas photosynthesis, negative regulation of catalytic activity, and protein-chromophore linkage were the significant pathways in Helltop. In the process of gene mining, we found four genes that were known to be involved in FHB resistance in wheat and that were differentially expressed after infection only in DH372 but not in Helltop. Based on our results, we assume that DH372 employed a specific response to pathogen infection that led to detoxification of fusariotoxin and prevented their accumulation in grain. Our results indicate that DH372 might resist the accumulation of fusariotoxin through activation of the glycolysis and drug metabolism via cytochrome P450. The identified genes in DH372 might be regulated by the WRKY family transcription factors as associated cis regulatory elements found in the in silico analysis. The results of this study will help rye breeders to develop strategies against type V FHB.

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The use of ionic liquid pretreatment of rye straw for bioethanol production

Cited by 50 publications

References 48 publications

Processing watermelon waste using Saccharomyces cerevisiae yeast and the fermentation method for bioethanol production

Processing watermelon waste using Saccharomyces cerevisiae yeast and the fermentation method for bioethanol production

Selected Aspects of Biofuels Market and the Electromobility Development in Poland: Current Trends and Forecasting Changes

A Comparative Transcriptome Analysis, Conserved Regulatory Elements and Associated Transcription Factors Related to Accumulation of Fusariotoxins in Grain of Rye (Secale cereale L.) Hybrids

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