Removal of Pb(II) from water using keratin colloidal solution obtained from wool

The aim of this study is to investigate the use of keratin colloidal solution, which was obtained from wool, for the removal of Pb(II) from water. The addition of keratin colloidal solution (15 g L^?1, 0.30 mL) to a Pb(II) solution (1.0 mM, 0.90 mL, pH 5.0) resulted in the formation and precipitation of a Pb–keratin aggregate. Measurement of the Pb(II) and protein concentrations in the supernatant solution revealed that 88 and 99 % of the Pb(II) and keratin protein were removed from the solution, respectively. The maximum Pb(II) uptake capacity of keratin in the colloidal solution was 43.3 mg g^?1. In addition, the Pb–keratin aggregate was easily decomposed via the addition of nitric acid, which enabled the recovery of Pb(II). However, aggregation did not occur in solutions with Pb(II) concentrations below 0.10 mM. Therefore, we used a keratin colloidal solution encapsulated in a dialysis cellulose tube to remove Pb(II) from 0.10 mM solutions, which enabled the removal of 95 % of the Pb(II). From these results, we conclude that keratin colloidal solution is useful for the treatment of water polluted with Pb(II).     

A study on forecasting paths of genuine savings and wealth without and with carbon dioxide constraints: development of shadow price functions

This paper has developed a method for forecasting the future paths of genuine savings (GS) with and without carbon dioxide (CO₂) emissions constraints. GS calculations require shadow prices, which can be endogenously determined for variables and constraints in a model. However, in case of a ‘business as usual’ model (BAU), the shadow prices required for calculating GS without constraints show theoretically zero. This research derives the shadow prices required to measure GS for the BAU case as a function of several variables available in the optimal (economically efficient) case. This function is estimated from endogenously obtained variables from a model with environmental constraints. Subsequently, this function is used to calculate shadow prices with and without CO₂ constraints, which are further employed to compute future paths of GS according to two methods applied in the papers by Arrow et al. We successfully estimated GS (or GSnt; GS with changes in population and technology) under the BAU case, however, suggest that GS (or GSnt) measures depend, to a great extent, on the time span under consideration (truncation year) for wealth accounting and the accounting methods by Arrows’ papers used for its estimation. In some cases, especially according to the methodology used by Arrow’s paper in 2004 using adjusted consumption in wealth accounting, the sign of GS (or GSnt) changes from negative to positive when changes in total factor productivity are taken into consideration. These aspects should be explored before measuring (un)sustainability of a particular path based on the GS (or GSnt) indicator.     

Transformation of diphenylarsinic acid in agricultural soils

We investigated the transformation and fate of diphenylarsinic acid (DPAA) during incubation in two types of soils (Entisol and Andisol) under aerobic and anaerobic conditions. Under anaerobic conditions only, DPAA was transformed into methyldiphenylarsine oxide by methylation. Under both aerobic and anaerobic conditions, DPAA was degraded to phenylarsonic acid by dephenylation, and phenylarsonic acid was subsequently methylated to form methylphenylarsinic acid and dimethylphenylarsine oxide. The degradation of DPAA in the Andisol was less extensive than in the Entisol. In autoclaved soil under anaerobic conditions, DPAA underwent little degradation during the 24-wk incubation. In unautoclaved soils, the concentration of DPAA in soil clearly decreased after 24 wk of incubation, indicating that DPAA degradation was driven by microbial activity.     

Estimating monthly total nitrogen concentration in streams by using artificial neural network

Artificial Neural Network (ANN) is a flexible and popular tool for predicting the non-linear behavior in the environmental system. Here, the feed-forward ANN model was used to investigate the relationship among the land use, fertilizer, and hydrometerological conditions in 59 river basins over Japan and then applied to estimate the monthly river total nitrogen concentration (TNC). It was shown by the sensitivity analysis, that precipitation, temperature, river discharge, forest area and urban area have high relationships with TNC. The ANN structure having eight inputs and one hidden layer with seven nodes gives the best estimate of TNC. The 1:1 scatter plots of predicted versus measured TNC were closely aligned and provided coefficients of errors of 0.98 and 0.93 for ANNs calibration and validation, respectively. From the results obtained, the ANN model gave satisfactory predictions of stream TNC and appears to be a useful tool for prediction of TNC in Japanese streams. It indicates that the ANN model was able to provide accurate estimates of nitrogen concentration in streams. Its application to such environmental data will encourage further studies on prediction of stream TNC in ungauged rivers and provide a useful tool for water resource and environment managers to obtain a quick preliminary assessment of TNC variations.     

Fundamental study of the behavior of chlorine during the combustion of single RDF

A fundamental study of the combustion characteristics and the de-HCl behavior of a single refuse-derived fuel (RDF) pellet was carried out to explain the de-HCl phenomena of RDF during fluidized bed combustion and to provide data for the development of high efficiency power generation technology using RDF. In this research, combustion and pyrolysis experiments were carried out in an electrical furnace using a series of model and actual RDF samples. The de-HCl capability of Ca(OH)2 in RDF was evaluated by measuring the emission fraction of HCl in the flue gas and the capture fraction of Cl in the residue. It was found that the capture fraction of Cl components in the residue increased from 0 to nearly 70% when the molar ratio of Ca/Cl was changed from 0 to around 13. Apparently, the capture fraction also decreased with increasing oxygen concentration in the feed gas. The devolatilization process of RDF was confirmed to be a very important part of de-HCl process. The effect of temperature profile of the RDF pellet on the de-HCl process, as it varies with the heating rate of RDF and the oxygen concentration in the vicinity of the sample, is discussed.     

Microbial dynamics in the process of restoration of groundwater contaminated by chlorinated ethene in the presence of Escherichia coli

This study investigated the effects of hygiene indicator bacteria during the biostimulation of groundwater contaminated with chlorinated ethene. We showed the state of dechlorination activity and behavior of microbial structure by the addition of Escherichia coli (E. coli) as hygiene indicator bacteria in a contaminated groundwater sample. Dechlorination of tetrachloroethene and trichloroethene to cis-1,2-dichloroethene (cis-DCE) within 14 days took place similarly both with and without the addition of E. coli. This indicated that inhibition of against dechlorinating activity of corresponding dechlorinating bacteria was not caused by E. coli. Structural change of the bacterial community was analyzed both before and after dechlorination using a denaturing gradient gel electrophoresis (DGGE) and clone library. The result of DGGE detected E. coli only at day 0. A sample at day 14 after dechlorination detected Pseudomonas putida, Anaerosinus glycerini, and Clostridium genus but not E. coli. The result of the clone library also showed an identical profile. Detection of E. coli using desoxycholate media was decreased from 2.3 × 10⁶ cells/ml to 6.0 × 10³ cells/ml during day 14. These results suggest that biostimulation of groundwater contaminated by chlorinated ethene in the presence of hygiene bacteria caused the dechlorination without activity inhibition and decrease of dechlorinating bacteria.     

Application of an Improved Micro-amount of Virion Enrichment Technique (MiVET) for the Detection of Avian Influenza A Virus in Spiked Chicken Meat Samples

Food and Environmental Virology - Highly sensitive detection of pathogens is effective for screening meat during quarantine inspection and export. The “micro-amount of virion enrichment...     

Scenario study for a regional low-carbon society

Japan should undertake drastic greenhouse gas (GHG) emission reductions by the middle of this century in order to mitigate climate change problems. Municipalities should design and execute scenarios toward a low-carbon society suited to their respective regions. This study describes long-term future visions developed for Shiga Prefecture targeting CO₂ emission reductions of 30–50% by 2030, and presents scenarios to attain these targets, which are achievable with mild economic growth. For targets over a 30% reduction, region-specific measures including land-use reform and citizen behavioral changes are necessary. Compared with other regions in Japan, Shiga should give priority to a modal shift in transport, efficiency improvements in industry, and photovoltaic energy generation.     

Metabolism of benzo(a)pyrene in rat by oral administration

Orally administered ³H-benzo(a)pyrene (BP) was concentrated in liver, kidney and lung of rat. Liver contained BP-diols, BP-quinones and 3-hydroxy-BP, and extremely high amounts of BP-quinones and unmetabolized BP were found in lung until after 7 hr of administration. In kidney, BP-quinones and BP-diols were major metabolites, but not BP or 3-hydroxy-BP. Low level of metabolites as conjugates with glucuronate and more polar compounds were also detected in kidney. These results suggested that an orally administered BP was metabolized to BP-diols and 3-hydroxy-BP mainly in liver, to BP-quinones mainly in lung, and to BP-diols and glucuronides or more polar compounds mainly in kidney.     

Burrowing behaviour inferred from feeding traces of the opheliid polychaete <Emphasis Type="Italic">Euzonus</Emphasis> sp. as response to beach morphodynamics

The distribution of the opheliid polychate Euzonus sp. and the orientation of its feeding traces were examined in a wave-dominated Pacific sandy beach of central Japan by periodical sampling from June to December 2006. This species occurred constantly within sediments at mid-intertidal level, although its horizontal distributions were variable depending on changes of the beach profiles. These facts indicate that Euzonus sp. moved horizontally seaward or landward within the substratum in response to the shifting beach face due to changes of wave conditions from the ocean. By analysing the orientation of feeding traces, the adaptive burrowing behaviour of this species in response to beach topographical changes was revealed: Euzonus worms burrowed horizontally to various directions in a relatively stable condition of beach topography, whereas they moved preferentially landward under a heavy erosion of the beach face by a storm. These findings indicate that the burrowing behaviour prevents Euzonus sp. from excessive burial and washing out due to the beach morphodynamics.