Improved Alternatives for Estimating In-Use Material Stocks

Determinations of in-use material stocks are useful for exploring past patterns and future scenarios of materials use, for estimating end-of-life flows of materials, and thereby for guiding policies on recycling and sustainable management of materials. This is especially true when those determinations are conducted for individual products or product groups such as “automobiles” rather than general (and sometimes nebulous) sectors such as “transportation”. We propose four alternatives to the existing top–down and bottom–up methods for estimating in-use material stocks, with the choice depending on the focus of the study and on the available data. We illustrate with aluminum use in automobiles the robustness of and consistencies and differences among these four alternatives and demonstrate that a suitable combination of the four methods permits estimation of the in-use stock of a material contained in all products employing that material, or in-use stocks of different materials contained in a particular product. Therefore, we anticipate the estimation in the future of in-use stocks for many materials in many products or product groups, for many regions, and for longer time periods, by taking advantage of methodologies that fully employ the detailed data sets now becoming available

Anthropogenic Cycles of the Elements: A Critical Review

A cycle is the quantitative characterization of the flows of a specific material into, within, and from a given system. An anthropogenic elemental cycle can be static (for a point in time) or dynamic (over a time interval). The about 350 publications collected for this review contain a total of 1074 individual cycle determinations, 989 static and 85 dynamic, for 59 elements; more than 90% of the publications have appeared since 2000. The cycles are of varying quality and completeness, with about 80% at country- or territory-level, addressing 45 elements, and 5% at global-level, addressing 30 elements. Despite their limitations, cycles have often been successful in revealing otherwise unknown information. Most of the elements for which no cycles exist are radioactively unstable or are used rarely and in small amounts. For a variety of reasons, the anthropogenic cycles of only perhaps a dozen elements are well characterized. For all the others, with cycles limited or nonexistent, our knowledge of types of uses, lifetimes in those uses, international trade, losses to the environment, and rates of recycling is quite limited, thereby making attempts to evaluate resource sustainability particularly problematic

Material Flow Analysis of Dysprosium in the United States

Dysprosium (Dy) is increasingly being adopted in various clean energy products around the world, intriguing many nations’ interests in its availability. However, since data are inaccessible, crucial information about Dy supplies and demands across products and countries remains incomplete. To fill these knowledge gaps, we performed a dynamic bottom-up material flow analysis of Dy, taking the United States (1987–2018) as a case. The results show that the United States (US) domestic demands experienced a growing trend (by 45-fold) with fluctuation and several shifts among applications, primarily owing to technological advancement. A large imbalance (80 times) exists between domestic mineral supplies and market demands, resulting in significant import dependency, with the net import reliance of alloys, chemicals, finished products, and concentrates being 97, 44, 40, and 31%, respectively. Dy is mainly imported as finished products (55.7%) and alloys (43.2%), with concentrates (0.4%) and chemicals (0.7%) accounting for less than 2%. This import dependency may result from fragmentation of the US supply chains because of the stricter environmental regulations on upstream industries and reshoring of the downstream industries. These findings suggest that rare-earth mineral production in the US is about to restart, and it is important for industries to seek international collaboration to boost product competition

Highly Selective Visual Detection of Cu(II) Utilizing Intramolecular Hydrogen Bond-Stabilized Merocyanine in Aqueous Buffer Solution

A Cu2+-specific colorimetric sensor 1, which is stabilized by an intramolecular hydrogen bonding, was designed and developed. The color of 1 changes from purple to blue on addition of 1.0 μM Cu2+ in aqueous buffer solution, which can be detected by the naked eye. The analytical detection limit for Cu2+ by the naked eye is as low as 1.0 μM. The stoichiometry for 1 and Cu2+ in complex is 2:1 in aqueous solution

Uncovering the Recycling Potential of “New” WEEE in China

Newly defined categories of WEEE have increased the types of China’s regulated WEEE from 5 to 14. Identification of the amounts and valuable-resource components of the “new” WEEE generated is critical to solving the e-waste problem, for both governmental policy decisions and recycling enterprise expansions. This study first estimates and predicts China’s new WEEE generation for the period of 2010–2030 using material flow analysis and the lifespan model of the Weibull distribution, then determines the amounts of valuable resources (e.g., base materials, precious metals, and rare-earth minerals) encased annually in WEEE, and their dynamic transfer from in-use stock to waste. Main findings include the following: (i) China will generate 15.5 and 28.4 million tons WEEE in 2020 and 2030, respectively, and has already overtaken the U.S. to become the world’s leading producer of e-waste; (ii) among all the types of WEEE, air conditioners, desktop personal computers, refrigerators, and washing machines contribute over 70% of total WEEE by weight. The two categories of EEEelectronic devices and electrical applianceseach contribute about half of total WEEE by weight; (iii) more and more valuable resources have been transferred from in-use products to WEEE, significantly enhancing the recycling potential of WEEE from an economic perspective; and (iv) WEEE recycling potential has been evolving from ∼16 (10–22) billion US$in 2010, to an anticipated ∼42 (26–58) billion US$ in 2020 and ∼73.4 (44.5–103.4) billion US$ by 2030. All the obtained results can improve the knowledge base for closing the loop of WEEE recycling, and contribute to governmental policy making and the recycling industry’s business development

Dynamic Stocks and Flows Analysis of Bisphenol A (BPA) in China: 2000–2014

Bisphenol A (BPA), a synthetic organic chemical, is creating a new category of ecological and human health challenges due to unintended leakage. Effectively managing the use and leakage of BPA can benefit from an understanding of the anthropogenic BPA cycles (i.e., the size of BPA flows and stocks). In this work, we provide a dynamic analysis of the anthropogenic BPA cycles in China for 2000–2014. We find that China’s BPA consumption has increased 10-fold since 2000, to ∼3 million tonnes/year. With the increasing consumption, China’s in-use BPA stock has increased 500-fold to 14.0 million tonnes (i.e., 10.2 kg BPA/capita). It is unclear whether a saturation point has been reached, but in 2004–2014, China’s in-use BPA stock has been increasing by 0.8 kg BPA/capita annually. Electronic products are the biggest contributor, responsible for roughly one-third of China’s in-use BPA stock. Optical media (DVD/VCD/CDs) is the largest contributor to China’s current End-of-Life (EoL) BPA flow, totaling 0.9 million tonnes/year. However, the EoL BPA flow due to e-waste will increase quickly, and will soon become the largest EoL BPA flow. The changing quantities and sources of EoL BPA flows may require a shift in the macroscopic BPA management strategies

Mass Spectrometric Studies on Mouse Hippocampal Synapsins Ia, IIa, and IIb and Identification of a Novel Phosphorylation Site at Serine-546

Synapsins are key phosphoproteins in the mammalian brain, and structural research on synapsins is still holding center stage. Proteins were extracted from hippocampal tissue and separated on two-dimensional gel electrophoresis (2-DE), and the spots were analyzed by MALDI-TOF−TOF and nano-LC−ESI-MS/MS. Synapsins Ia, IIa, and IIb were unambiguously identified and represented by 15 individual spots on 2-DE. Several serine phosphorylation sites were confirmed, and a novel phosphorylation site was observed at Ser-546 in synapsin IIa in all gels analyzed. Keywords: database conflict • de novo sequencing • mass spectrometry • phosphorylation • synapsin isoform

Mass Spectrometric Studies on Mouse Hippocampal Synapsins Ia, IIa, and IIb and Identification of a Novel Phosphorylation Site at Serine-546

Synapsins are key phosphoproteins in the mammalian brain, and structural research on synapsins is still holding center stage. Proteins were extracted from hippocampal tissue and separated on two-dimensional gel electrophoresis (2-DE), and the spots were analyzed by MALDI-TOF−TOF and nano-LC−ESI-MS/MS. Synapsins Ia, IIa, and IIb were unambiguously identified and represented by 15 individual spots on 2-DE. Several serine phosphorylation sites were confirmed, and a novel phosphorylation site was observed at Ser-546 in synapsin IIa in all gels analyzed. Keywords: database conflict • de novo sequencing • mass spectrometry • phosphorylation • synapsin isoform

Building the Material Flow Networks of Aluminum in the 2007 U.S. Economy

Based on the combination of the U.S. economic input-output table and the stocks and flows framework for characterizing anthropogenic metal cycles, this study presents a methodology for building material flow networks of bulk metals in the U.S. economy and applies it to aluminum. The results, which we term the Input–Output Material Flow Networks (IO-MFNs), achieve a complete picture of aluminum flow in the entire U.S. economy and for any chosen industrial sector (illustrated for the Automobile Manufacturing sector). The results are compared with information from our former study on U.S. aluminum stocks and flows to demonstrate the robustness and value of this new methodology. We find that the IO-MFN approach has the following advantages: (1) it helps to uncover the network of material flows in the manufacturing stage in the life cycle of metals; (2) it provides a method that may be less time-consuming but more complete and accurate in estimating new scrap generation, process loss, domestic final demand, and trade of final products of metals, than existing material flow analysis approaches; and, most importantly, (3) it enables the analysis of the material flows of metals in the U.S. economy from a network perspective, rather than merely that of a life cycle chain