Abstract:While there is great potential in the chief values and prospects of a circular economy, this alone will not bring the circular economy to market or scale. In order for a circular economy to materialize, an integrated approach that focuses on a long-term system change or transition is required. To set the change process in motion, many (public and private) players (companies, authorities, citizens, and research institutions) need to be involved. Among the many stakeholders, a genuine enabler to implement a successful and sustainable circular strategy is the logistics industry. Given that The Netherlands is used as a case study, in this paper, we focus on the Dutch logistics industry and how this industry can contribute to the broader Dutch agenda to realize a more circular economy. It implies looking at the specific transition agenda for the logistics industry in relation to a circular economy, what barriers may exist that might hamper such a transition, and how public policy-makers are dealing with and can tackle these barriers.
The introduction of the concept of systems biology, enabling the study of living systems from a holistic perspective based on the profiling of a multitude of biochemical components, opens up a unique and novel opportunity to reinvestigate natural products. In the study of their bioactivity, the necessary reductionistic approach on single active components has been successful in the discovery of new medicines, but at the same time the synergetic effects of components were lost. Systems biology, and especially metabolomics, is the ultimate phenotyping. It opens up the possibility of studying the effect of complex mixtures, such as those used in Traditional Chinese Medicine, in complex biological systems; abridging it with molecular pharmacology. This approach is considered to have the potential to revolutionize natural product research and to advance the development of scientific based herbal medicine.
A reversed-phase liquid chromatography-linear ion trap-Fourier transform ion cyclotron resonance-mass spectrometric method was developed for the profiling of lipids in human and mouse plasma. With the use of a fused-core C 8 column and a binary gradient, more than 160 lipids belonging to eight different classes were detected in a single LC-MS run. The method was fully validated and the analytical characteristics such as linearity ( R (2), 0.994-1.000), limit of detection (0.08-1.28 microg/mL plasma), repeatability (RSD, 2.7-7.9%) and intermediate precision (RSD, 2.7-15.6%) were satisfactory. The method was successfully applied to p53 mutant mice plasma for studying some phenotypic effects of p53 expression.
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