The concept of the bio-based economy has gained increasing attention and importance in recent years. It is seen as a chance to reduce the dependency on fossil resources while securing a sustainable supply of energy, water, and raw materials, and furthermore preserving soils, climate and the environment. The intended transformation is characterized by economic, environmental and social challenges and opportunities, and it is understood as a social transition process towards a sustainable, bio-based and nature-oriented economy. This process requires general mechanisms to establish and monitor safeguards for a sustainable development of the bio-based economy on a national and EU level. Sustainability certification and standardisation of bio-based products can help to manage biogenic resources and their derived products in a sustainable manner. In this paper, we have analysed the current status of sustainability certification and standardisation in the bio-based economy by conducting comprehensive desktop research, which was complemented by a series of expert interviews. The analysis revealed an impressive amount of existing certification frameworks, criteria, indicators and applicable standards. However, relevant gaps relating to existing criteria sets, the practical implementation of criteria in certification processes, the legislative framework, end-of-life processes, as well as necessary standardisation activities, were identified which require further research and development to improve sustainability certification and standardisation for a growing bio-based economy.
Background The high number of bioeconomy (BE) policies and strategies indicates the interest in the BE in many nations. The development of the BE holds opportunities but also risks for sustainability. Thus, the future development of a sustainable BE should be based on coherent policy frameworks. There are already links between private governance approaches and public policy frameworks that might support each other for this purpose. The aim of this study was to evaluate how the current EU BE policy frameworks consider sustainability aspects and if non-governmental governance approaches could support their enhancement. Methods An inventory of BE policy documents on EU and EU member state levels relevant to sustainability was conducted applying desktop research. Major sustainability risk perceptions in the BE sectors were identified. We provide a list of sustainability risks within different BE sectors, based on an expert survey. In a qualitative evaluation, most commonly identified sustainability requirements in policy documents were benchmarked against most important sustainability risk perceptions. Results Sustainability requirements have been identified in 56% of the policy documents. The influence of the policy frameworks on the industry was found to be rather low. Specific targets and goals are included in 72% of the analysed BE policy documents, but only 50% are quantifiable. Identification of major sustainability risks revealed that in the biomass production stage, mostly environmental risks are most relevant. A “hot spot sector” with accumulated sustainability risk perceptions or a tendency to higher risk levels was not identified. Most important sustainability risk perceptions matched with requirements in policy documents, but requirements were mostly stated in a noncommittal way. Discussion and conclusions Coherence amongst the sustainability criteria included in the various BE frameworks should be increased. Groundwork developed by non-governmental governance approaches should be picked up by policy makers for more harmonised terminologies of sustainability requirements, BE definitions, etc. BE monitoring approaches should take policy targets, sustainability requirements and sustainability risks into account and should adjust them in a dynamic way.
L-phenylglycine (L-Phg) is a rare non-proteinogenic amino acid, which only occurs in some natural compounds, such as the streptogramin antibiotics pristinamycin I and virginiamycin S or the bicyclic peptide antibiotic dityromycin. Industrially, more interesting than L-Phg is the enantiomeric D-Phg as it plays an important role in the fine chemical industry, where it is used as a precursor for the production of semisynthetic β-lactam antibiotics. Based on the natural L-Phg operon from Streptomyces pristinaespiralis and the stereo-inverting aminotransferase gene hpgAT from Pseudomonas putida, an artificial D-Phg operon was constructed. The natural L-Phg operon, as well as the artificial D-Phg operon, was heterologously expressed in different actinomycetal host strains, which led to the successful production of Phg. By rational genetic engineering of the optimal producer strains S. pristinaespiralis and Streptomyces lividans, Phg production could be improved significantly. Here, we report on the development of a synthetic biology-derived D-Phg pathway and the optimization of fermentative Phg production in actinomycetes by genetic engineering approaches. Our data illustrate a promising alternative for the production of Phgs.
Life cycle assessments (LCA) approaches, analysing potential impacts associated with the production and use of biomass for energy and material purposes, have become increasingly important in recent years. An internal project at the Deutsches Biomasseforschungszentrum- DBFZ is investigating, which priority areas have been addressed at the institute with LCA. The preliminary results of the study show mostly practice-linked applications with a focus on the assessment of fuels, their production and technical feasibility. In this publication, we present one of the studies analysed, in which a simplified LCA approach defined in the renewable energy directive (RED II), was applied. Based on primary data from 10 biogas and biomethane supply chains in Germany, the applicability of the RED II greenhouse gas (GHG) emission calculation approach was analysed. Most of the biogas plants assessed were found to be compliant with the required minimum GHG emissions reduction. Storage of digestate, N-fertilization and the use of fossil diesel were identified as the main factors, influencing the GHG intensity of the respective value chains. Additionally, individual calculation requires a high effort for data collection. The availability of tools and default values could therefore support market actors with an efficient implementation of the RED II.
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