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Model Toxics Legislation

A more productive approach resulted from the action of the Coalition of Northeastern Governors (CONEG) Source Reduction Council. This was a body composed of representatives of government, industry, and environmental organizations, put together to heip come up with ways of reducing the impact of packaging on problems associated with MSW disposal. In the area of heavy metals, the approach they advocated was based on the simple principle that what does not go into the [Pg.410]

The European Union used this law as a model for similar EU requirements. A major difference, however, is that the EU allows heavy metals to be present up to the 100 ppm limit even if they are intentionally introduced. Therefore it is considerably more lenient than the U.S. laws that prohibit any intentional introduction of heavy metals, no matter how small. [Pg.412]

The SPI system was controversial from its inception. The proposal initially called for the code for polyethylene terephthalate to be PET. However, it had to be changed to PETE to avoid trademark infringement. [Pg.414]


QSAR models for legislative purposes have to show that the predicted value has a certain quality. However, its assessment is not easy. In the last year, the debate on the real validity of the QSAR models has seen both supporters and critics. Thousands of models have been produced, and this complicates the evaluation. Indeed, the prediction of some easy physico-chemical properties is surely simpler, while some complex toxicity endpoints, such as carcinogenicity, is much more problematic. But, how to measure the performances and reliability of the QSAR models ... [Pg.190]

CONEG. The Model Toxics in Packaging Legislation, developed by the Coalition of Northeastern Governors (CONEG) and adopted in one form or another by 18 states, directly affects the colorant and additive industry. [Pg.318]

QSAR models addressing five endpoints relevant for REACH legislation have been developed by the European funded CAESAR research project [56]. These models are focused on BCF in fish, mutagenesis, carcinogenesis, developmental toxicity, and skin sensitization. The developed models have been implemented into a Java-based applet available through the Internet. [Pg.196]

REACH aims to protect both the environment and human health from the industrial chemicals used in Europe, which refer to tens of thousands of substances. In this case, the ideal systems to be evaluated are human health and environment. However, the legislation defines a series of models, which can be used to assess the effects on these two major systems. Animal models are quite often mentioned, in case of toxicity studies and bioaccumulation. Examples of such models are models using rat and fish. Rat and mouse, typically, are used as models for human health, and fish is useful for environmental endpoints. However, it is well recognized that humans are different from rodents for a series of biochemical processes. To study carcinogenicity, for instance, a battery of tests is common, using rat and mouse, both male and female animals. Differences are often found in the different rodent experiments, and this highlights the problems in extrapolating results to humans. Still, in vivo experiments are a fundamental way to study toxicity. [Pg.184]

The EC funded project CAESAR is developing models for five endpoints specifically related to the REACH legislation [28]. The five endpoints are bioconcentration factor, skin sensitization, carcinogenicity, reproductive toxicity, and mutagenicity (in vivo studies). These five endpoints have been chosen because they are among those that will require more animal tests. Actually, other studies are also supposed to use many animals, but they were excluded because of lack of sufficient experimental values. [Pg.195]

In this chapter we have pointed to some fundamental physical environmental factors that in our view are important to take into account in order to improve REACH (and likely other chemical legislations). We have also pointed to the potential of an increased use of mathematical population models to obtain more relevant data for environmental risk assessment. With increased knowledge about how various physical environmental factors (e.g. temperature, pH, salinity, 02) on one hand influence toxicity and on the other may be taken into account in the process of environmental risk assessment, chances will improve to achieve a process that is efficient, cost effective, scientifically robust, and meets the demands of science-based precaution. Environmental risk assessment within REACH would thus become a more diverse but at the same time more adequate process than the one presented in the current version. [Pg.96]

The Bhopal disaster was a watershed in the area of environmental policy and legislation worldwide. Suddenly the horror of the industrial model of development became very stark and real. How and where industries were sited and how they dealt with the dangers that they posed to the communities around them became real questions. After the Love Canal saga (see the case study later in this chapter), Bhopal was the one incident that led to worldwide regulation on chemicals and toxicity. Intertwined with all the information was the fact that communities be given information and be included as participants in industry decision making. [Pg.353]

Very recently the EC funded project DEMETRA (http //www.demetra-tox. net) developed a series of QSAR models for the prediction of toxicity of pesticides toward five endpoints trout, daphnia, quail (oral and dietary exposure), and bee [80]. This project introduced a number of innovative issues, compared to previous QSAR models. The target of the project was to develop models for pesticides to be used for regulatory purposes in accord with European legislation. A questionnaire was distributed to a great many end-user to identify their needs. The endpoints to be modeled were chosen from among those defined in writing by the end-user, and not by the modeler, in order to make the models as useful as possible. This attention to the needs of the end-users is unique in the use of QSAR for ecotoxicity prediction. Other novel... [Pg.641]

The Control of Industrial Pollution Water Quality and Health Aspects of the Chemistry and Analysis of Substances of Concern in the Water Cycle The Role of Wastewater Treatment Processes in the Removal of Toxic Pollutants Sewage and Sewage Sludge Treatment The Chemistry of Metal Pollutants in Water Effects of Pollutants on the Aquatic Environment Important Air Pollutants and Their Chemical Analysis Pollutant Pathways and Modelling of Air Pollution Legislation and the Control of Air Pollution Catalyst Systems for Emission Control from Motor Vehicles Evaluating Pollution Effects on Plant Productivity A Cautionary Tale Epidemics of Non-infectious Disease Systems Methods in the Evaluation of Environmental Pollution Problems Organometallic Compounds in the Environment. [Pg.337]

Accordingly, QS AR modelling of LD5Q data has been described as notoriously difficult (Adamson, Bawden and Saggers, 1984). Nonetheless, despite some controversy, summary parameters such as the LD50 are required by legislative authorities as measures of acute toxicity. [Pg.182]

Safety assessment of preservatives, as for other food additives, is based on reviews of all available toxicological data, including observations in humans and in animal models. From the available data, a maximum level of an additive that has no demonstrable toxic effect is determined. This is called the no observed adverse effect level (NOAEL) and is used to determine the acceptable daily intake (ADI). The ADI refers to the amount of a food additive that can be taken daily in the diet, over a lifetime span, without any negative effect on health. Food additive legislation adopted by the European Union is included in several European Parliament and Council Directives (Directives 95/2/EC and 2006/52/ EC, which have been replaced by the Regulation (EC) 1333/2008 in 2011). [Pg.168]


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Toxicity modeling

Toxicity models

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