Evidence map›Paper›PMID 40779100›Full record

ArticleForensic science, medicine, and pathology2025

Estimation of bloodstains time since deposition based on ATR-FTIR spectroscopy in forensic laboratorie.

Sheng Liu, Zhenqing Zhang, Yun Jiang, Fangjian Ye, Feng Chen, Lei Miao, Shouqing Liu

Abstract read
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In one paragraph

Article in Forensic science, medicine, and pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Sheng LiuGusu Branch of Suzhou Public Security Bureau, Suzhou, 215000, China.
Zhenqing ZhangDepartment of Criminal Science and Technology, Zhengzhou Police College, Zhengzhou, 450053, China. zhangzhenqing1980@163.com.ORCID http://orcid.org/0000-0002-6815-4159
Yun JiangInstitute of Forensic Sciences, Soochow University, Suzhou, 215021, China.
Fangjian YeInstitute of Identification, Ministry of Public Security, 100038, Beijing, China.
Feng ChenJiangsu Key Laboratory for Environment Functional Materials, Suzhou University of Science and Technology, Suzhou, 215009, China.
Lei MiaoInstitute of Forensic Sciences, Soochow University, Suzhou, 215021, China.
Shouqing LiuJiangsu Key Laboratory for Environment Functional Materials, Suzhou University of Science and Technology, Suzhou, 215009, China. shouqing_liu@163.com.

Funding

Fundamental Research Funds for the Central Universities 2025TJJBKY010Henan Provincial Science and Technology Research Project 2021HNXWK131National Key Research and Development Program Project 2018YFC0807203-3Open Fund Project of the Ministry of Public Security Key Laboratory of Trace Science and Technology 2020FMKFKT01the National Natural Science Foundation of China 22261042the Science and Technology Research Project of Henan Province 242102321036
6 · The paper itself

Abstract

The age of bloodstains at a crime scene provides key information for criminal investigation and interpretation, with important implications in forensic medicine. In this study, silica gel was used as a carrier for bloodstains with different ages to simulate a porous wall surface at an indoor crime scene. A method was developed for bloodstain dating based on attenuated total reflection infrared spectroscopy (ATR-FTIR) and neural networks. Venous blood samples were collected from nine healthy volunteers, and ATR spectra were recorded at five points for each sample during a period of 7 days. The neural networks TRAINSCG, TRAINLM, and TRANGDM were constructed. The training dataset was the ATR spectra (4,000-600 cm

Indexed as

Blood StainsNeural Networks, ComputerAdultAlgorithmsFemaleForensic MedicineHumansMaleSilicon DioxideSpectroscopy, Fourier Transform InfraredTime FactorsSilicon DioxideAttenuated total reflection infrared spectroscopyBloodstainsLevenberg–Marquardt algorithmSilica gel

Identifiers

PMID40779100

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.