Evidence map›Paper›PMID 42637850›Full record

ArticleInternational journal of legal medicine2026

Physicochemical characterization of necrophagous insect exuviae and their potential for forensic application.

Gengwang Hu, Zhengyang Zhu, Zijian Chen, Fan Cao, Xinggong Liang, Run Chen, Yudong Qin, Qi Liao, Wei Sun, Yu Wang and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Gengwang HuDepartment of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Zhengyang ZhuDepartment of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Zijian ChenDepartment of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Fan CaoDepartment of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Xinggong LiangDepartment of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Run ChenDepartment of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Yudong QinDepartment of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Qi LiaoKey Laboratory of Drugs analysis & intelligent-Montoring, Narcotics Technology Center of Shaanxi Provincial Public Security Department, National Narcotics Laboratory Shaanxi Regional Center, Shaanxi, 712046, China.
Wei SunKey Laboratory of Drugs analysis & intelligent-Montoring, Narcotics Technology Center of Shaanxi Provincial Public Security Department, National Narcotics Laboratory Shaanxi Regional Center, Shaanxi, 712046, China.
Yu WangDepartment of Forensic Medicine, Soochow University, Ganjiang East Road, jiangsu, Suzhou, 215000, China. yuw@suda.edu.cn.
Qinru SunDepartment of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. qinrusun@mail.xjtu.edu.cn.
Zhenyuan WangDepartment of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. wzy218@xjtu.edu.cn.ORCID http://orcid.org/0000-0003-3561-6414

Funding

Xi'an Jiaotong University Free Exploration Project for Students xzy022026089
6 · The paper itself

Abstract

Insect exuviae are physical records of insect molting events, which can provide valuable clues regarding insect developmental timing and physiological status. They are frequently encountered and sometimes the sole insect evidence at a crime scene. However, fragmentation poses a significant limitation to their practical application, potentially shifting the advantage towards physicochemical characterization methods over traditional morphological analysis. This study presents a systematic characterization of exuviae from seven major necrophagous insect taxa using Scanning Electron Microscopy-Energy Dispersive X-ray Spectroscopy (SEM-EDS), Thermogravimetric Analysis (TGA), Gas Chromatography-Mass Spectrometry (GC-MS), Raman Spectroscopy, and Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) Spectroscopy coupled with chemometrics. These multispectroscopic methods provided comprehensive information on morphology, elemental distribution, thermal stability, molecular structures, and cuticular hydrocarbon profiles. Comparative analysis enabled successful interspecies discrimination of exuviae and intraspecies differentiation based on larval food sources across multiple methods. ATR-FTIR spectroscopy combined with Support Vector Machine (SVM) demonstrated superior performance for species identification compared to Random Forest (RF) and Partial Least Squares Discriminant Analysis (PLS-DA), achieving 100% training set accuracy and 99.38% test set accuracy. The observed similarity in physicochemical properties among exuviae from closely related species indicates a primary dependence on taxonomy and further validates the reliability of our dataset. This work introduces several promising new methods for discriminating necrophagous insect exuviae, providing fundamental data and standard references for their forensic application, particularly in minimum post-mortem interval (mPMI) estimation. Future efforts should focus on expanding the database to encompass species-level identification.

Indexed as

ColeopteraDipteraForensic entomologyMachine learningPuparium

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.