Microbial community profiling for forensic drowning diagnosis across locations and submersion times

Microbial community profiling for forensic drowning diagnosis across locations and submersion times

Abstract Background Drowning diagnosis has long been a critical issue in forensic research, influenced by various factors such as the environment and decomposition time. While traditional methods such as diatom analysis have limitations in decomposed remains, microbial community profiling offers a p...

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Bibliographic Details
Main Authors: Qin Su, Xiaofeng Zhang, Xiaohui Chen, Zhonghao Yu, Weibin Wu, Qingqing Xiang, Chengliang Yang, Jian Zhao, Ling Chen, Quyi Xu, Chao Liu
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Microbiology
Subjects:
Drowning diagnosis
16S rRNA sequencing
Machine learning
Random forest
Online Access:https://doi.org/10.1186/s12866-025-03902-y
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https://doi.org/10.1186/s12866-025-03902-y

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