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Related Concept Videos

Noncompartmental Analysis: Mean Residence Time01:05

Noncompartmental Analysis: Mean Residence Time

According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution01:09

One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution

The one-compartment open model is a simplified approach used in pharmacokinetics to understand the distribution and elimination of a drug administered through an intravenous bolus. This model assumes rapid drug dispersal throughout the body and elimination using a first-order process. Key pharmacokinetic parameters, such as the elimination rate constant (k), half-life (t1/2), and the apparent volume of distribution (Vd), can be estimated from this model. The elimination rate is calculated from...
Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
EDTA: Conditional Formation Constant01:09

EDTA: Conditional Formation Constant

Each EDTA molecule has six binding sites: four carboxyl groups and two amino groups. The fully protonated form of EDTA is represented as H6Y2+. However, it can exist in different forms, H5Y+, H4Y, H3Y−, H2Y2−, and HY3−, depending on the pH of the solution. In very basic solutions with pH > 10.17, the fully deprotonated form, Y4−, is the predominant species that readily complexes with metal ions in a 1:1 ratio.
For the equilibrium reaction of the metal with the Y4− form of EDTA, the formation...

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Updated: Jun 12, 2026

Visualizing Protein Kinase A Activity In Head-fixed Behaving Mice Using In Vivo Two-photon Fluorescence Lifetime Imaging Microscopy
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Visualizing Protein Kinase A Activity In Head-fixed Behaving Mice Using In Vivo Two-photon Fluorescence Lifetime Imaging Microscopy

Published on: June 7, 2019

The elusive universal post-mortem interval formula.

Arpad A Vass1

  • 1Oak Ridge National Laboratory, 1 Bethel Valley Road, X-10, 4500S, Rm. E-147, MS 6120, Oak Ridge, TN 37831-6120, USA. vassaa@ornl.gov

Forensic Science International
|June 18, 2010
PubMed
Summary
This summary is machine-generated.

Researchers developed universal formulas to estimate the post-mortem interval (PMI) for human decomposition. These empirical models utilize temperature, moisture, and oxygen levels to improve accuracy in forensic investigations.

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Area of Science:

  • Forensic Science
  • Anthropology
  • Environmental Science

Background:

  • Accurate post-mortem interval (PMI) determination is crucial in forensic investigations.
  • Existing PMI estimation methods often lack universal applicability across diverse environments.

Purpose of the Study:

  • To develop empirically derived, universal formulas for estimating the post-mortem interval (PMI) of human decomposition.
  • To establish foundational models applicable to both surface and burial decomposition scenarios.

Main Methods:

  • Utilized 20 years of decomposition data from the University of Tennessee's Anthropology Research Facility.
  • Developed two distinct formulas: one for surface decomposition and one for burial decomposition.
  • Incorporated key environmental factors: temperature, moisture, and partial pressure of oxygen.

Main Results:

  • Two novel formulas for PMI estimation were created based on empirical data.
  • The formulas identify temperature, moisture, and oxygen as primary drivers of decomposition.
  • Initial models provide a basis for broader application and refinement.

Conclusions:

  • The developed formulas represent an initial step towards universal PMI estimation.
  • Further research and interdisciplinary collaboration are needed to refine these models for global application.
  • Accurate PMI determination can be enhanced through standardized, data-driven approaches.