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Updated: Jun 9, 2025

Transverse Fracture of the Mouse Femur with Stabilizing Pin
Published on: December 29, 2021
Microscopic characteristics of peri- and postmortem fracture surfaces
Jessica Skinner1, Natalie Langley1, Samuel Fahrenholtz1
1Mayo Clinic Arizona, 13400 E Shea Blvd, Scottsdale, AZ 85259, USA.
Abstract:
This study investigated if microscopic surface features captured with a scanning electron microscope (SEM) effectively discriminate fracture timing. We hypothesized that microscopic fracture characteristics, including delamination, osteon pullout, and microcracks, may vary as bone elasticity decreases, elucidating perimortem and postmortem events more reliably than macroscopic analyses. Thirty-seven unembalmed, defleshed human femoral shafts from males (n=18) and females (n=2) aged 33-81 years were fractured at experimentally simulated postmortem intervals (PMIs) ranging from 1 to 60 warm weather days (250-40,600 ADH). A gravity convection oven was used to approximate tissue decomposition at 37 C and 27 C, and the resulting heat-time unit (accumulated degree hours, or ADH) was used to examine fractures in elastic/wet versus brittle/dry bone. The bones were fractured with a drop test frame using a three-point bending setup, sensors were used to calculate fracture energy, and high-speed photography documented fracture events. The following data were collected to relate fracture appearance to the biomechanical properties of bone: PMI (postmortem interval) length in ADH, temperature, humidity, collagen percentage, water loss, bone mineral density, cortical bone thickness, fracture energy, age, sex, cause of death, and microscopic fracture feature scores. SEM micrographs were collected from the primary tension zones of each fracture surface, and three microscopic fracture characteristics were scored from a region of interest in the center of the tension zone: percentage of delaminated osteons, percent osteon pullout, and number of microcracks. Multiple linear regression showed that microscopic fracture surface features are strong predictors of ADH (adjusted R-squared=0.67 for the 0 - 40,000 ADH samples; adjusted R-squared=0.92 for the 0-16,000 ADH samples). Osteon pullout is the single best predictor of ADH. Additionally, water loss is the primary driver of bone elasticity changes in low ADH samples, while collagen fibers appear to remain intact until later in the postmortem interval (approximately 40,000 ADH in this study). The results of this study indicate microscopic fracture surface analysis detects the biomechanical effects of decreased elasticity more reliably and with greater sensitivity than macroscopic analysis.
Insights
Microscopic bone fracture analysis, particularly osteon pullout, accurately predicts postmortem intervals (PMI). This method is more sensitive than macroscopic analysis for determining time since death by assessing bone elasticity changes.
Area of Science:
- Forensic Anthropology
- Biomaterials Science
- Materials Science
Background:
- Determining the postmortem interval (PMI) is crucial in forensic investigations.
- Bone elasticity changes significantly after death, influencing fracture characteristics.
- Macroscopic fracture analysis has limitations in accurately estimating PMI.
Purpose of the Study:
- To investigate the efficacy of microscopic surface features in determining fracture timing.
- To assess if microscopic fracture characteristics can reliably differentiate perimortem and postmortem events.
- To correlate bone microstructure changes with postmortem interval (PMI) and bone elasticity.
Main Methods:
- Human femoral bone samples were fractured at simulated postmortem intervals (PMI) using a drop test frame and three-point bending.
- Scanning electron microscopy (SEM) was used to analyze microscopic fracture features (delamination, osteon pullout, microcracks).
- Multiple linear regression analyzed the relationship between microscopic features, bone properties, and accumulated degree hours (ADH).
Main Results:
- Microscopic fracture surface features, especially osteon pullout, are strong predictors of ADH (R-squared up to 0.92).
- Water loss is the primary factor affecting bone elasticity at lower ADH.
- Collagen fibers remain largely intact until approximately 40,000 ADH.
Conclusions:
- Microscopic fracture surface analysis provides a more reliable and sensitive method for estimating PMI than macroscopic analysis.
- SEM analysis of bone microstructure can elucidate perimortem and postmortem events.
- Osteon pullout is identified as the most significant predictor of postmortem interval.

