Valorisation to biogas of macroalgal waste streams: a circular approach to bioproducts and bioenergy in Ireland

Seaweeds (macroalgae) have been recently attracting more and more interest as a third generation feedstock for bioenergy and biofuels. However, several barriers impede the deployment of competitive seaweed-based energy. The high cost associated to seaweed farming and harvesting, as well as their seasonal availability and biochemical composition currently make macroalgae exploitation too expensive for energy production only. Recent studies have indicated a possible solution to aforementioned challenges may lay in seaweed integrated biorefinery, in which a bioenergy and/or biofuel production step ends an extractions cascade of high-value bioproducts. This results in the double benefit of producing renewable energy while adopting a zero waste approach, as fostered by recent EU societal challenges within the context of the Circular Economy development. This study investigates the biogas potential of residues from six indigenous Irish seaweed species while discussing related issues experienced during fermentation. It was found that Laminaria and Fucus spp. are the most promising seaweed species for biogas production following biorefinery extractions producing 187–195 mL CH₄ gVS^?1 and about 100 mL CH₄ gVS^?1 , respectively, exhibiting overall actual yields close to raw un-extracted seaweed.     

Corn stover fractions and bioenergy

Information is presented on structure, composition, and response to enzymes of corn stover related to barriers for bioconversion to ethanol. Aromatic compounds occurred in most tissue cell walls. Ferulic acid esterase treatment before cellulase treatment significantly improved dry weight loss and release of phenolic acids and sugars in most fractions over cellulase alone. Leaf fractions were considerably higher in dry weight loss and released sugars with esterase treatment, but stem pith cells gave up the most phenolic acids. Results help identify plant fractions more appropriate for coproducts and bioconversion and those more suitable as residues for soil erosion control.     

Perspectives on bioenergy and biotechnology in Brazil

Brazil is one of the world’s largest producers of alcohol from biomass at low cost and is responsible for more than 1 million direct jobs. In 1973, the Brazilian Program of Alcohol (Proalcool) stimulated the creation of a bioethanol industry that has led to large economic, social, and scientific improvements. In the year 1984, 94.5% of Brazil’s cars used bioethanol as fuel. In 2003/2004, 350.3 million of sugarcane produced 24.2 million t of sugar and 14.4 billion L of ethanol for an average 4.3 million cars using ethanol. Since its inception, cumulative investment in Proalcool totals US$11 billion, and Brazil has saved US$27 billion in oil imports. The ethanol production industry from sugarcane generates 152 times more jobs than would have been the case if the same amount of fuel was produced from petroleum, and the use of ethanol as a fuel is advantageous for environmental reasons. In 2003, one of the biggest Brazilian ethanol industries started consuming 50% of the residual sugarcane bagasse to produce electrical energy (60 MW), a new alternative use of bioenergy for the Brazilian market. Other technologies for commercial uses of bagasse are in development, such as in the production of natural fibers, sweeteners (glucose and xylitol), single-cell proteins, lactic acid, microbial enzymes, and many other products based on fermentations (submerged and semisolid). Furthermore, studies aimed at the increase in the biosynthesis of sucrose and, consequently, ethanol productivity are being conducted to understand the genetics of sugarcane. Although, at present, there remain technical obstacles to the economic use of some ethanol industry residues, several research projects have been carried out and useful data generated. Efficient utilization of ethanol industry residues has created new opportunities for new value-added products, especially in Brazil, where they are produced in high quantities.     

Pretreatment processes for lignocellulosic biomass conversion to biofuels and bioproducts

Lignocellulosic materials, such as forestry, agricultural and agroindustrial residues, are among the most important sources of biomass for the production of fuels, chemicals and materials. However there are physical and chemical barriers in the lignin–carbohydrate supramolecular structure that render most plant cell wall components almost completely unavailable for conversion into commercial products. Thus successful conversion strategies must lead to the disruption of this structure and result in partial or total separation of the lignocellulosic components, increasing the accessibility of cellulose, hemicelluloses and lignins. It must also minimize the formation of by-products. Each pretreatment technology has its own characteristics and is usually applied to a specific source of carbohydrates and lignins. A general overview of the most important pretreatment methods for the production of platform chemicals and fermentable sugars are given in this paper.     

Peptide display in functional genomics

The completion of the human genome project has opened novel scientific avenues in functional genomics, structural genomics and proteomics. These areas have a common goal: the identification of all the proteins acting and cross-talking in a single cell at a defined moment of its lifecycle. The expansion of these areas in bioscience has been facilitated by the rapid development of high throughput screening (HTS) methods which has, in turn, attracted the business community to make investments in this novel business segment of biotechnology. By using these HTS methods, the hope is that novel targets will be validated much more rapidly speeding up the development of novel drugs. Numerous techniques and tools have emerged over the past decade for the identification of small target-specific molecular ligands that exploit a common feature: the exploration of molecular diversity using combinatorial methods. While chemists developed new methods for rapidly and efficiently synthesising and screening large collections of small molecules, biologists used recombinant DNA techniques for selecting displayed repertoires. To this end, the discovery of new low molecular weight peptides is becoming increasingly important, not only as molecular tools for the understanding of protein-protein interactions but also for the generation of lead compounds.     

Functional genomics and NMR spectroscopy

The recent success of the human genome project and the continued accomplishment in obtaining DNA sequences for a vast array of organisms is providing an unprecedented wealth of information. Nevertheless, an abundance of the proteome contains hypothetical proteins or proteins of unknown function, where high throughput approaches for genome-wide functional annotation (functional genomics) has evolved as the necessary next step. Nuclear magnetic resonance spectroscopy is playing an important role in functional genomics by providing information on the structure of protein and protein-ligand complexes, from metabolite fingerprinting and profiling, from the analysis of the metabolome, and from ligand affinity screens to identify chemical probes.     

Ribozymes, genomics and therapeutics

Genome-sequencing projects are proceeding at a rapid pace and determining the function of open reading frames is the next great challenge. Ribozymes with site-specific cleaving activity could aid greatly in this process. High-throughput screening methods to identify optimal target sites for ribozyme cleavage will provide tools for functional genomics as well as therapeutic reagents.     

Node-based differential network analysis in genomics

Gene dependency networks often undergo changes in response to different conditions. Understanding how these networks change across two conditions is an important task in genomics research. Most previous differential network analysis approaches assume that the difference between two condition-specific networks is driven by individual edges. Thus, they may fail in detecting key players which might represent important genes whose mutations drive the change of network. In this work, we develop a node-based differential network analysis (N-DNA) model to directly estimate the differential network that is driven by certain hub nodes. We model each condition-specific gene network as a precision matrix and the differential network as the difference between two precision matrices. Then we formulate a convex optimization problem to infer the differential network by combing a D-trace loss function and a row-column overlap norm penalty function. Simulation studies demonstrate that N-DNA provides more accurate estimate of the differential network than previous competing approaches. We apply N-DNA to ovarian cancer and breast cancer gene expression data. The model rediscovers known cancer-related genes and contains interesting predictions.     

From proteomics to genomics

Presently, science is moving from genomics to proteomics in order to get insight into the functional network of gene expression. Actually however, proteomics is much older than genomics and dates back to the introduction of the two-dimensional gel electrophoresis technique (2-DE) independently by Klose and O'Farrell. Based on this approach almost all cellular proteins can be separated. New developments in mass spectrometry allowed identification of single spots in the 2-DE protein pattern, including the underlying genes. Joachim Klose has focused his pioneering 2-DE studies on mouse models with special emphasis on quantitative protein variants. According to him, proteins are living molecules exhibiting a characteristic protein phenotype.     

Enzyme-based biocatalysis for the treatment of organic pollutants and bioenergy production

Enzyme-based biocatalysis is emerging as an advanced technique to develop green processes that help to maintain the sustainability of the environment. The bioremediation of toxic organic pollutants and waste to bioenergy production using enzymes as biocatalysts is rapidly growing due to its eco-friendly and sustainable nature. Additionally, a range of microbial species that typically grow on organic wastes can be used to produce these enzymes in an efficient manner. This is seen as a potential strategy for the development of cost-effective manufacturing for a number of biotechnological applications. The present study discusses biocatalysis as a promising and sustainable method toward the bioremediation of hazardous organic pollutants as well as for bioenergy production, based on the immense potential of enzymes as biocatalysts. Emphasis has been placed on evaluating the critical elements that can enhance the production of enzymes used as biocatalysts, as well as their functional effectiveness and stability.     

化学遗传学和多样性合成

多样性合成是化学合成思维上的一个突破 ,是化学生物学、组合化学、新药研究相互交叉、相互渗透的产物。多样性合成运用正向合成分析 ,通过选择合适的构建模块、立体化学控制因素和分支反应路径 ,灵活运用产生结构复杂性的反应和构象分析策略 ,构建结构复杂多样的化合物库。多样性合成与化学遗传学的结合使得系统地利用小分子解决生物学课题成为可能     

Social acceptance of bioenergy in the context of climate change and sustainability – A review

Bioenergy development is gaining interest globally, and its social acceptance emerges as a determining factor for its implementation. This study is a short review of published articles discussing societal and public perceptions of bioenergy, including highlights of an interdisciplinary and three-dimensional approach (socioeconomic, local, and market). Social acceptance can be influenced by the awareness of climate change and its impacts, the knowledge of technologies and the perceived fairness of the preparatory and decision-making processes. The complex and multi-faceted supply chains of bioenergy projects call for careful consideration of sustainability.     

Methodology for estimating removable quantities of agricultural residues for bioenergy and bioproduct use

A methodology was developed to estimate quantities of crop residues that can be removed while maintaining rain or wind erosion at less than or equal to the tolerable soil-loss level. Six corn and wheat rotations in the 10 largest corn-producing states were analyzed. Residue removal rates for each rotation were evaluated for conventional, mulch/reduced, and no-till field operations. The analyses indicated that potential removable maximum quantities range from nearly 5.5 million dry metric t/yr for a continuous corn rotation using conventional till in Kansas to more than 97 million dry metric t/yr for a corn-wheat rotation using no-till in Illinois.