Suchergebnisse

Directeur de l'ouvrage : Arnaud DiemerDirecteur de l'ouvrage : Florian DiericksDirecteur de l'ouvrage : Ganna GladkykhDirecteur de l'ouvrage : Manuel E MoralesDirecteur de l'ouvrage : Tim ParriqueDirecteur de l'ouvrage : Julian TorresAuteur de l'ouvrage : Arnaud Diemer ; Exploration of fungal biodiversity for the deconstruction of lignocellulosic biomass and the implementation of new biosynthetic pathways for green chemistry. European Union and Sustainable Development: Challenges and Prospects

4 figures, 2 tables.-- Supplementary information. ; The production of upgraded bio-oils by an integrated process using a mixture of calcined limestone and sand as a heat carrier with catalytic properties was experimentally studied at pilot scale. The integrated process consisted of two main steps: biomass catalytic pyrolysis in an Auger reactor for bio-oil production and char combustion in a fluidised-bed combustor for heat carrier heating and regeneration. A temperature of 450 °C was fixed as an optimum value to carry out the catalytic pyrolysis step. Temperatures ranging from 700 to 800 °C were assessed in the char combustor. Process simulation demonstrated that solid recirculation from the combustor to the pyrolysis reactor was marginally affected in this temperature range. However, an optimum char combustion temperature of 800 °C was selected from an environmental point of view, since lower polyaromatic emissions were detected whilst NOx emissions were kept under the legislation limits. Under designated conditions, several pyrolysis-combustion cycles were carried out. A moderate deactivation of the catalyst by partial carbonation was found. This fact makes necessary the incorporation of a purge and an inlet of fresh heat carrier in order to maintain the bio-oil quality in the integrated process. ; Authors thank to Spanish MINECO and European Union FEDER funds for providing support for this work (projects CTQ2012-37984-C02-01 and ENE2015-68320-R). ; Peer reviewed

This study assesses crop residues in the EU from major crops using empirical models to predict crop residues from yield statistics; furthermore it analyses the inter‐annual variability of those estimates over the period 1998‐2015, identifying its main drivers across Europe. The models were constructed based on an exhaustive collection of experimental data from scientific papers for the crops: wheat, barley, rye, oats, triticale, rice, maize, sorghum, rapeseed, sunflower, soybean, potato and sugarbeet. We discuss the assumptions on the relationship between yield and the harvest index, adopted by previous studies, to interpret the experimental data, quantify the uncertainties of these models, and establish the premises to implement them at regional scale –i.e NUTS level 3– within the EU. To cope this, we created a consolidated sub‐national statistical data along with an algorithm able to aggregate (figures are provided at country level) and disaggregate (production at 25 km grid is provided as supplementary material) estimates. The total lignocellulosic biomass production in the EU28 over the review period, according to our models, is 419 Mt, from which wheat is the major contributor (155 Mt). Our results show that maize and rapeseed are the two crops with the highest residue yield, respectively 8.9 and 8.6 t ha‐1. The spatial analysis revealed that these three crops, which, according to our results, are feedstocks highly suitable a priori for second generation biofuels in the EU and are unevenly distributed across Europe. Weather fluctuation was identified as the major driver in residue production from cereals, while, in the case of starch crops and oilseeds – which are predominant in northern Europe – corresponded to the marked production trend likely influenced by the agricultural policies and agro‐management over the review period. Additionally, our study highlights the limitation of such empirical models in quantifying lignocellulosic biomass in the EU.

International audience ; This study assesses crop residues in the EU from major crops using empirical models to predict crop residues from yield statistics; furthermore it analyses the inter‐annual variability of those estimates over the period 1998‐2015, identifying its main drivers across Europe. The models were constructed based on an exhaustive collection of experimental data from scientific papers for the crops: wheat, barley, rye, oats, triticale, rice, maize, sorghum, rapeseed, sunflower, soybean, potato and sugarbeet. We discuss the assumptions on the relationship between yield and the harvest index, adopted by previous studies, to interpret the experimental data, quantify the uncertainties of these models, and establish the premises to implement them at regional scale –i.e NUTS level 3– within the EU. To cope this, we created a consolidated sub‐national statistical data along with an algorithm able to aggregate (figures are provided at country level) and disaggregate (production at 25 km grid is provided as supplementary material) estimates. The total lignocellulosic biomass production in the EU28 over the review period, according to our models, is 419 Mt, from which wheat is the major contributor (155 Mt). Our results show that maize and rapeseed are the two crops with the highest residue yield, respectively 8.9 and 8.6 t ha‐1. The spatial analysis revealed that these three crops, which, according to our results, are feedstocks highly suitable a priori for second generation biofuels in the EU and are unevenly distributed across Europe. Weather fluctuation was identified as the major driver in residue production from cereals, while, in the case of starch crops and oilseeds – which are predominant in northern Europe – corresponded to the marked production trend likely influenced by the agricultural policies and agro‐management over the review period. Additionally, our study highlights the limitation of such empirical models in quantifying lignocellulosic biomass in the EU.

International audience ; This study assesses crop residues in the EU from major crops using empirical models to predict crop residues from yield statistics; furthermore it analyses the inter‐annual variability of those estimates over the period 1998‐2015, identifying its main drivers across Europe. The models were constructed based on an exhaustive collection of experimental data from scientific papers for the crops: wheat, barley, rye, oats, triticale, rice, maize, sorghum, rapeseed, sunflower, soybean, potato and sugarbeet. We discuss the assumptions on the relationship between yield and the harvest index, adopted by previous studies, to interpret the experimental data, quantify the uncertainties of these models, and establish the premises to implement them at regional scale –i.e NUTS level 3– within the EU. To cope this, we created a consolidated sub‐national statistical data along with an algorithm able to aggregate (figures are provided at country level) and disaggregate (production at 25 km grid is provided as supplementary material) estimates. The total lignocellulosic biomass production in the EU28 over the review period, according to our models, is 419 Mt, from which wheat is the major contributor (155 Mt). Our results show that maize and rapeseed are the two crops with the highest residue yield, respectively 8.9 and 8.6 t ha‐1. The spatial analysis revealed that these three crops, which, according to our results, are feedstocks highly suitable a priori for second generation biofuels in the EU and are unevenly distributed across Europe. Weather fluctuation was identified as the major driver in residue production from cereals, while, in the case of starch crops and oilseeds – which are predominant in northern Europe – corresponded to the marked production trend likely influenced by the agricultural policies and agro‐management over the review period. Additionally, our study highlights the limitation of such empirical models in quantifying lignocellulosic biomass in the EU.

Not Available ; Solid state fermentation with pea pod waste and Aspergillus niger HN-1 resulted in filter paper cellu-lase (FP) and -glucosidase (BGL) activity of 30 FPU/gds and 270 U/gds, respectively. Validation withthe response surface optimized parameters (moisture content: 65%, pH 6.0, temperature: 33◦C, time:84 h) in a solid-state tray fermentation enhanced FP and BGL activity by about 40 and 28%, respectively.Multi-component enzyme from A. niger HN-1 produced FP, BGL, endoglucanase (EG), cellobiohy-drolase (CBHI), xylanase, -l-arabinofuranosidase, -xylosidase and xylan esterase with activities of41.07 ± 2.11 FPU/gds, 345.69 ± 17.1, 480.3 ± 21.5, 52.1 ± 1.5, 2800.5 ± 88.4, 88.1 ± 9.3, 280.8 ± 11.4 and3321.7 ± 14.8 U/gds, respectively. Enzyme was optimally active at temperature and pH of 55◦C and 5.0,respectively and demonstrated thermostability by retaining >95% activity for 6 h at 55◦C. SDS-PAGEshowed the presence of 11 protein bands with molecular mass ranging between 20 and 200 kDa, whilezymogram revealed the presence of multiple forms of EG, CBH and BGL with varying molecular mass.Hydrolysis of sweet sorghum bagasse at relatively high substrate loading (15%, w/v) with crude enzymeat 20 FPU/gds in thermostatically controlled glass reactor led to conversion of 82–91% of holocellulose tofermentable sugars in just 24 h as evident from HPLC analysis, showing promise for the reported enzymein bioprocessing applications. ; AMAAS sub-project (NBAIM/AMAAS/2008-09/AMBPH-05/HSO/BG/3/5982) from the Indian Council of Agricul-tural Research (ICAR), Government of India.

AbstractMyco degradation is an effective technique for breaking down waste plant substances made of lignin, cellulose, and hemicellulose, which are collectively known as lignocellulose. This abundant organic material is found throughout the world. Due to its recalcitrant nature, lignocellulose poses a challenge for efficient conversion into biofuels, biochemicals, and other valuable products. Myco degradation, which involves the use of fungi to degrade lignocellulosic materials, offers a sustainable and cost‐efficient resolution to this challenge. This review provides an overview of the mechanisms and applications of myco degradation for lignocellulosic biomass degradation. The review discusses the various types of fungi involved in lignocellulose degradation, their enzymatic systems, and the factors that influences their performance. Furthermore, the potential applications of myco degradation products, such as biofuels, enzymes, and bioplastics, are reviewed. It also highlights the implications of myco degradation for waste management and sustainable development. Overall, myco degradation represents a promising technology for the efficient deprivation of lignocellulosic waste biomass, and further research in this field holds great potential for the sustainable creation of bio‐based products.