ABSTRACT
At the intersection of synthetic biology and materials science, the field of engineered living materials (ELMs) has evolved into a new, standalone discipline. The fusion of bioengineering's design-build-test-learn approaches with classical materials science has yielded breakthrough innovations in the synthesis of complex, biologically active materials for functional applications in therapeutics, electronics, construction, and beyond. However, the transdisciplinary nature of the ELM field - and its rapid growth - has made holistic comprehension of achievements related to the tools, techniques, and applications of ELMs difficult across disciplines. To this end, this review proposes an emergent taxonomy of ELM research and uses the categorization to discuss current trends and state-of-the-art advancements, significant opportunities, and imminent challenges for scientists and engineers in the field.
Subject(s)
Bioengineering , Materials Science , Synthetic Biology , Materials Science/trends , Synthetic Biology/trendsABSTRACT
Open research data practices are a relatively new, thus still evolving part of scientific work, and their usage varies strongly within different scientific domains. In the literature, the investigation of open research data practices covers the whole range of big empirical studies covering multiple scientific domains to smaller, in depth studies analysing a single field of research. Despite the richness of literature on this topic, there is still a lack of knowledge on the (open) research data awareness and practices in materials science and engineering. While most current studies focus only on some aspects of open research data practices, we aim for a comprehensive understanding of all practices with respect to the considered scientific domain. Hence this study aims at 1) drawing the whole picture of search, reuse and sharing of research data 2) while focusing on materials science and engineering. The chosen approach allows to explore the connections between different aspects of open research data practices, e.g. between data sharing and data search. In depth interviews with 13 researchers in this field were conducted, transcribed verbatim, coded and analysed using content analysis. The main findings characterised research data in materials science and engineering as extremely diverse, often generated for a very specific research focus and needing a precise description of the data and the complete generation process for possible reuse. Results on research data search and reuse showed that the interviewees intended to reuse data but were mostly unfamiliar with (yet interested in) modern methods as dataset search engines, data journals or searching public repositories. Current research data sharing is not open, but bilaterally and usually encouraged by supervisors or employers. Project funding does affect data sharing in two ways: some researchers argue to share their data openly due to their funding agency's policy, while others face legal restrictions for sharing as their projects are partly funded by industry. The time needed for a precise description of the data and their generation process is named as biggest obstacle for data sharing. From these findings, a precise set of actions is derived suitable to support Open Data, involving training for researchers and introducing rewards for data sharing on the level of universities and funding bodies.
Subject(s)
Engineering/trends , Information Dissemination , Materials Science/trends , Research Personnel , Female , Humans , Male , Qualitative Research , Surveys and QuestionnairesABSTRACT
Polyhydroxyalkanoate (PHA) is a representative biodegradable polymer with more than 150 varieties and various properties. This article reviews the research status and potential applications of PHA, and introduces the properties of four-generation commercial PHA and its research progress in blend fibers with other biodegradable materials.
Subject(s)
Materials Science , Polyhydroxyalkanoates , Biodegradable Plastics/chemistry , Biodegradable Plastics/standards , Materials Science/trends , Polyhydroxyalkanoates/chemistryABSTRACT
Nuclear Magnetic Resonance (NMR) has, over the past few decades, emerged as the most powerful spectroscopic technique for studying molecular structure across a sub-nanometer scale, as well as for probing molecular dynamics over widely spanning timescales (ns to s) [...].
Subject(s)
Magnetic Resonance Spectroscopy/methods , Materials Science/trends , Algorithms , Humans , Magnetic Resonance Imaging , Molecular Structure , Nuclear Magnetic Resonance, Biomolecular/methodsABSTRACT
Advanced material development, including at the nanoscale, comprises costly and complex challenges coupled to ensuring human and environmental safety. Governmental agencies regulating safety have announced interest toward acceptance of safety data generated under the collective term New Approach Methodologies (NAMs), as such technologies/approaches offer marked potential to progress the integration of safety testing measures during innovation from idea to product launch of nanomaterials. Divided in overall eight main categories, searchable databases for grouping and read across purposes, exposure assessment and modeling, in silico modeling of physicochemical structure and hazard data, in vitro high-throughput and high-content screening assays, dose-response assessments and modeling, analyses of biological processes and toxicity pathways, kinetics and dose extrapolation, consideration of relevant exposure levels and biomarker endpoints typify such useful NAMs. Their application generally agrees with articulated stakeholder needs for improvement of safety testing procedures. They further fit for inclusion and add value in nanomaterials risk assessment tools. Overall 37 of 50 evaluated NAMs and tiered workflows applying NAMs are recommended for considering safer-by-design innovation, including guidance to the selection of specific NAMs in the eight categories. An innovation funnel enriched with safety methods is ultimately proposed under the central aim of promoting rigorous nanomaterials innovation.
Subject(s)
Materials Science , Nanostructures , Safety , Toxicity Tests , Computer Simulation , Humans , Materials Science/methods , Materials Science/trends , Nanostructures/standards , Risk AssessmentABSTRACT
Any surface of human interest can serve as a substrate for biofilm growth, sometimes with detrimental effects. The social and economic consequences of biofilm-mediated damage to surfaces are significant, the financial impact being estimated to be billions of dollars every year. After describing traditional biocide-based approaches for the remediation of biofilm-affected surfaces, this review deals with more recent developments in material science, focusing on non-toxic, eco-sustainable nature-inspired biomaterials with anti-biofilm properties superior to the conventional biocide-based approaches in terms of addressing the biofilm problem.
Subject(s)
Biocompatible Materials/chemistry , Biofilms , Materials Science/trends , Bacteria/growth & development , Bacterial Physiological Phenomena , Biocompatible Materials/pharmacology , Biofilms/growth & development , Polymers/chemistry , Polymers/pharmacologySubject(s)
Cardiac Surgical Procedures/instrumentation , Coated Materials, Biocompatible , Materials Science , Silk , Sutures , Tissue Adhesives , Animals , Biocompatible Materials/pharmacology , Biocompatible Materials/therapeutic use , Cardiac Surgical Procedures/methods , Coated Materials, Biocompatible/pharmacology , Coated Materials, Biocompatible/therapeutic use , Gastropoda , Humans , Materials Science/methods , Materials Science/trends , Materials Testing , Silk/pharmacology , Silk/therapeutic use , Spiders , Tissue Adhesives/pharmacology , Tissue Adhesives/therapeutic useABSTRACT
Researchers striving to convert biology into an exact science foremost rely on structural biology and biochemical reconstitution approaches to obtain quantitative data. However, cell biological research is moving at an ever-accelerating speed into areas where these approaches lose much of their edge. Intrinsically unstructured proteins and biochemical interaction networks composed of interchangeable, multivalent, and unspecific interactions pose unique challenges to quantitative biology, as do processes that occur in discrete cellular microenvironments. Here we argue that a conceptual change in our way of conducting biochemical experiments is required to take on these new challenges. We propose that reconstitution of cellular processes in vitro should be much more focused on mimicking the cellular environment in vivo, an approach that requires detailed knowledge of the material properties of cellular compartments, essentially requiring a material science of the cell. In a similar vein, we suggest that quantitative biochemical experiments in vitro should be accompanied by corresponding experiments in vivo, as many newly relevant cellular processes are highly context-dependent. In essence, this constitutes a call for chemical biologists to convert their discipline from a proof-of-principle science to an area that could rightfully be called quantitative biochemistry in living cells. In this essay, we discuss novel techniques and experimental strategies with regard to their potential to fulfill such ambitious aims.