Assessing Patterns of Moisture Content in Decomposing, Desiccated, and Mummified Tissue in Western North Carolina

Background: Estimating the postmortem interval (PMI) is complicated by extrinsic environmental and intrinsic individual factors. Methods: Improved accuracy may be achieved through a better understanding of desiccation. This study examines moisture loss and desiccation in human remains in western North Carolina, validating previous research in central Texas. Ten donated individuals were placed across three seasonal trials at Western Carolina University’s Forensic Osteology Research Station (FOREST). Soft tissue moisture measurements were recorded from 20 locations on the body using a Delmhorst RDM-3TM meter, and environmental data were recorded on-site. Results: Moisture content declined rapidly until ~500 accumulated degree days (ADD), after which patterns became highly variable. Linear mixed-effects models identified temperature as the strongest predictor of moisture loss, particularly in spring and fall, while precipitation was the most influential in summer, coinciding with rapid skeletonization. Compared to central Texas, western North Carolina exhibited less consistent moisture loss patterns and greater environmental variability. Fixed effects explained 36–63% of moisture variation across body regions, with conditional R2 values modestly higher when accounting for individual differences. Conclusions: These findings highlight the importance of region-specific research for PMI estimation.

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Publication Details

Journal
Forensic Sciences
Published
2025-12-01
DOI
https://doi.org/10.3390/forensicsci5040073
Primary Topic
Forensic Entomology and Diptera Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing Patterns of Moisture Content in Decomposing, Desiccated, and Mummified Tissue in Western North Carolina

Rebecca L George, Autumn Lennartz, Charles Edward Bailey, Maggie Klemm et al.
Forensic Sciences
Forensic Entomology and Diptera Studies
article

Assessing Patterns of Moisture Content in Decomposing, Desiccated, and Mummified Tissue in Western North Carolina

Rebecca L George, Autumn Lennartz, Charles Edward Bailey, Maggie Klemm, Cameron Matheson, Carter Unger
article en

Abstract

Background: Estimating the postmortem interval (PMI) is complicated by extrinsic environmental and intrinsic individual factors. Methods: Improved accuracy may be achieved through a better understanding of desiccation. This study examines moisture loss and desiccation in human remains in western North Carolina, validating previous research in central Texas. Ten donated individuals were placed across three seasonal trials at Western Carolina University’s Forensic Osteology Research Station (FOREST). Soft tissue moisture measurements were recorded from 20 locations on the body using a Delmhorst RDM-3TM meter, and environmental data were recorded on-site. Results: Moisture content declined rapidly until ~500 accumulated degree days (ADD), after which patterns became highly variable. Linear mixed-effects models identified temperature as the strongest predictor of moisture loss, particularly in spring and fall, while precipitation was the most influential in summer, coinciding with rapid skeletonization. Compared to central Texas, western North Carolina exhibited less consistent moisture loss patterns and greater environmental variability. Fixed effects explained 36–63% of moisture variation across body regions, with conditional R2 values modestly higher when accounting for individual differences. Conclusions: These findings highlight the importance of region-specific research for PMI estimation.

Forensic SciencesVol. 5(4)
Western Carolina University (US), University of Nebraska–Lincoln (US), University of North Texas (US), University of North Texas Health Science Center (US), Knoxville College (US), Independent Sector (US), Film Independent (US), University of Tennessee at Knoxville (US)
Western Carolina University, American Academy of Forensic Sciences
Openalex Percentile: Top 66%
Forensic Entomology and Diptera Studies
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