Best-practices approach to determination of blood alcohol concentration (BAC) at specific time points: Combination of ante-mortem alcohol pharmacokinetic modeling and post-mortem alcohol generation and transport considerations.

Alcohol concentrations in biological matrices offer information regarding an individual's intoxication level at a given time. In forensic cases, the alcohol concentration in the blood (BAC) at the time of death is sometimes used interchangeably with the BAC measured post-mortem, without consideration for alcohol concentration changes in the body after death. However, post-mortem factors must be taken into account for accurate forensic determination of BAC prior to death to avoid incorrect conclusions. The main objective of this work was to describe best practices for relating ante-mortem and post-mortem alcohol concentrations, using a combination of modeling, empirical data and other qualitative considerations. The Widmark modeling approach is a best practices method for superimposing multiple alcohol doses ingested at various times with alcohol elimination rate adjustments based on individual body factors. We combined the selected ante-mortem model with a suggestion for an approach used to roughly estimate changes in BAC post-mortem, and then analyzed the available data on post-mortem alcohol production in human bodies and potential markers for alcohol production through decomposition and putrefaction. Hypothetical cases provide best practice approaches as an example for determining alcohol concentration in biological matrices ante-mortem, as well as potential issues encountered with quantitative post-mortem approaches. This study provides information for standardizing BAC determination in forensic toxicology, while minimizing real world case uncertainties.

Evaluation of the California Safer Consumer Products Regulation and the impact on consumers and product manufacturers.

Chemistry enables more than 95% of products in the marketplace. Over the past 20 years, various entities began to generate inventories of chemicals ("chemical watch lists") potentially associated with human or environmental health risks. Some lists included thousands of chemicals, while others listed only a few chemistries with limited properties or toxicological endpoints (e.g., neurotoxicants). Enacted on October 1, 2013, the California Safer Consumer Products Regulation (SCP) utilized data from chemical inventory lists to create one master list. This paper aims to discuss the background and requirements of this regulation. Additionally, we wanted to understand the universe of Candidate Chemicals identified by the Regulation. Data from all 23 chemical lists identified in the SCP Regulation were entered into a database. The most prevalent chemicals among the ∼2900 chemicals are identified, including the most prevalent chemical, lead, appearing on 65% of lists, followed by DEHP (52%), perchloroethylene (48%), and benzene (48%). Our results indicated that the most prevalent Candidate Chemicals were either persistent, bioaccumulative, carcinogenic, or reprotoxic. This regulation will have wide-ranging impact in California and throughout the global supply chain, which is highlighted through selected examples and case studies.