An analysis of E-waste flows in China

In Europe, legislation about waste of electrical and electronic equipment (WEEE) recovery and recycling has been introduced in 2002, and corresponding legislation in the EU Member States was in place in August 2005 (EU-EC 2003). In the same period, China has been developing WEEE regulation as well. The main contribution to date to the Chinese legislative framework is the 'Circular Economy Promotion Law of the People's Republic of China' that was approved on August 29, 2008, and came into force as of January 1, 2009. Both these legislative systems contain the Extended Producer Responsibility as a core concept, as well as a formal, and, in the case of China, centralised, recovery system. Given the conceptual similarities of legislation on WEEE, but striking differences in the product recovery systems in China and the EU, it is of interest to investigate if the existing recovery and recycling system in China actually fits the new legislation. Currently, there is anecdotal evidence that, in China, much of the WEEE flows into informal recycling channels such as secondhand market and manual recycling workshops. Not much is known otherwise because a formal governance system and official statistics collection do not exist yet. More particularly, the actual WEEE flow in China, or in particular cities, is virtually unknown, as is the relationship between collection-treatment, re-selling and disposal. This paper suggests a Markov chain model that allows for the analysis of the flow of WEEE through the reverse chain from point of collection through the final disposal. We analyse this sytem in its equilibrium state and investigate the impact of scenarios that reflect key elements of the new WEEE regulation in China. In addition, we offer a qualitative analysis of the various scenarios for the three dimensions of sustainability: people, planet and profit. This research offers specific suggestions to strengthen the Chinese WEEE recovery and recycling system that would bring the actual system more in line with the current policy

Recruitment of TLR adapter TRIF to TLR4 signaling complex is mediated by the second helical region of TRIF TIR domain

Toll/IL-1R resistance (TIR) domain–containing adapter-inducing IFN-β (TRIF) is a Toll-like receptor (TLR) adapter that mediates MyD88-independent induction of type I interferons through activation of IFN regulatory factor 3 and NFκB. We have examined peptides derived from the TRIF TIR domain for ability to inhibit TLR4. In addition to a previously identified BB loop peptide (TF4), a peptide derived from putative helix B of TRIF TIR (TF5) strongly inhibits LPS-induced cytokine and MAPK activation in wild-type cells. TF5 failed to inhibit LPS-induced cytokine and kinase activation in TRIF-deficient immortalized bone-marrow–derived macrophage, but was fully inhibitory in MyD88 knockout cells. TF5 does not block macrophage activation induced by TLR2, TLR3, TLR9, or retinoic acid-inducible gene 1/melanoma differentiation-associated protein 5 agonists. Immunoprecipitation assays demonstrated that TF4 binds to TLR4 but not TRIF-related adaptor molecule (TRAM), whereas TF5 binds to TRAM strongly and TLR4 to a lesser extent. Although TF5 prevented coimmunoprecipitation of TRIF with both TRAM and TLR4, site-directed mutagenesis of the TRIF B helix residues affected TRIF–TRAM coimmunoprecipitation selectively, as these mutations did not block TRIF–TLR4 association. These results suggest that the folded TRIF TIR domain associates with TRAM through the TRIF B helix region, but uses a different region for TRIF–TLR4 association. The B helix peptide TF5, however, can associate with either TRAM or TLR4. In a mouse model of TLR4-driven inflammation, TF5 decreased plasma cytokine levels and protected mice from a lethal LPS challenge. Our data identify TRIF sites that are important for interaction with TLR4 and TRAM, and demonstrate that TF5 is a potent TLR4 inhibitor with significant potential as a candidate therapeutic for human sepsi