Postmortem Alcohol Production in Fatal Aircraft Accidents.

Abstract

During 1989 and 1990, the Civil Aeromedical Institute (CAMI) received specimens from 975 victims of fatal aircraft accidents. The maximum concentration of ethanol allowed under FAA regulations (0.04%, 40mg/dL) was exceeded in 79 of these cases (8%). It was determined based on the distribution of ethanol in urine, vitreous, blood, and tissue that 21 of the positive cases (27%) were from postmortem alcohol production. Twenty-two of the positive cases (28%) were found to be from the ingestion of ethanol. In 36 cases (45%) no determination could be made in regards to the origin of the ethanol. In two cases, postmortem alcohol production exceeded 0.15 percent (150mg/dL). The opinion held by some toxicologists that postmortem alcohol production can be inferred from the presence of acetaldehyde, acetone, butanol, and other volatiles was found to be incorrect. Several cases with postmortem ethanol had no other volatiles. Volatile compounds were found in several cases where no ethanol was present. In addition, a case was found where the relative ethanol concentrations in blood, bile, and vitreous humor were solely consistent with the ingestion of ethanol, but acetaldehyde, acetone, and 2-butanol were also found in blood. This clearly indicates that the presence or absence of other volatiles does not establish postmortem ethanol production. Ethanol, Postmortem.

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1992
Accession Number
ADA254680

Entities

People

  • Dennis V. Canfield
  • Edwin F. Huffine
  • Thomas C. Kupiec

Organizations

  • Federal Aviation Administration

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accidents
  • Acetaldehyde
  • Aircrafts
  • Aviation Accidents
  • Digestive System Processes
  • Downed Aircraft
  • Hazards
  • Production
  • Regulations
  • Vehicles

Fields of Study

  • Medicine

Readers

  • Analytical Chemistry
  • Aviation Safety Risk Assessment.
  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference