Estimation of Time-Since-Deposition of bloodstains on different surfaces using ATR-FTIR Spectroscopy and Chemometrics.

IF 1.5 4区 医学 Q2 MEDICINE, LEGAL
Forensic Science, Medicine and Pathology Pub Date : 2025-03-01 Epub Date: 2024-07-18 DOI:10.1007/s12024-024-00849-w
Deepthi Nagesh, B Nagarajamurthy
{"title":"Estimation of Time-Since-Deposition of bloodstains on different surfaces using ATR-FTIR Spectroscopy and Chemometrics.","authors":"Deepthi Nagesh, B Nagarajamurthy","doi":"10.1007/s12024-024-00849-w","DOIUrl":null,"url":null,"abstract":"<p><p>Blood is commonly discovered at crime scenes in various forms, including stains, dried residue, pools, and fingerprints on assorted surfaces. Estimating the age of bloodstains is a crucial aspect of reconstructing crime scenes. This research aimed to investigate how the nature of different surfaces affects the estimation of bloodstain age, utilizing a reliable and non-destructive approach. The study employed ATR-FTIR spectroscopy in conjunction with Chemometric techniques such as PCA (Principal Component Analysis) and OPLSR (Orthogonal Signal Correction Partial Least Square Regression Analysis) to analyze spectral data and develop regression models for estimating bloodstain age on cement, metal, and wooden surfaces for up to eleven days. The chemometric models for bloodstains on all three substrates demonstrated strong performance, with predictive Root Mean Square Error (RMSE) values ranging from 1.1 to 1.43 and R<sup>2</sup> values from 0.84 to 0.89. Notably, the model developed for metal surfaces was found to be the most accurate with minimal prediction error. The findings of the study showed that the porosity of the substrates upon which bloodstains were found had a discernible influence on the age-related transformations observed in bloodstains; the majority of which occured within the spectral range of 2800 cm<sup>- 1</sup> to 3500 cm<sup>- 1</sup>.</p>","PeriodicalId":12449,"journal":{"name":"Forensic Science, Medicine and Pathology","volume":" ","pages":"123-137"},"PeriodicalIF":1.5000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Science, Medicine and Pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12024-024-00849-w","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/18 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
引用次数: 0

Abstract

Blood is commonly discovered at crime scenes in various forms, including stains, dried residue, pools, and fingerprints on assorted surfaces. Estimating the age of bloodstains is a crucial aspect of reconstructing crime scenes. This research aimed to investigate how the nature of different surfaces affects the estimation of bloodstain age, utilizing a reliable and non-destructive approach. The study employed ATR-FTIR spectroscopy in conjunction with Chemometric techniques such as PCA (Principal Component Analysis) and OPLSR (Orthogonal Signal Correction Partial Least Square Regression Analysis) to analyze spectral data and develop regression models for estimating bloodstain age on cement, metal, and wooden surfaces for up to eleven days. The chemometric models for bloodstains on all three substrates demonstrated strong performance, with predictive Root Mean Square Error (RMSE) values ranging from 1.1 to 1.43 and R2 values from 0.84 to 0.89. Notably, the model developed for metal surfaces was found to be the most accurate with minimal prediction error. The findings of the study showed that the porosity of the substrates upon which bloodstains were found had a discernible influence on the age-related transformations observed in bloodstains; the majority of which occured within the spectral range of 2800 cm- 1 to 3500 cm- 1.

利用 ATR-FTIR 光谱和化学计量学估算不同表面血迹的沉积时间。
在犯罪现场通常会发现各种形式的血迹,包括血迹、干残留物、血泊和各种表面的指纹。估计血迹的年龄是重建犯罪现场的一个重要方面。本研究旨在利用一种可靠的非破坏性方法,调查不同表面的性质如何影响血迹年龄的估计。研究采用 ATR-FTIR 光谱与 PCA(主成分分析)和 OPLSR(正交信号校正偏最小平方回归分析)等化学计量学技术相结合的方法来分析光谱数据并建立回归模型,以估算水泥、金属和木质表面上长达 11 天的血迹年龄。所有三种基质上血迹的化学计量模型都表现出很强的性能,预测均方根误差 (RMSE) 值在 1.1 到 1.43 之间,R2 值在 0.84 到 0.89 之间。值得注意的是,为金属表面开发的模型最为准确,预测误差最小。研究结果表明,发现血迹的基质的孔隙率对血迹中观察到的与年龄有关的变化有明显的影响;其中大多数变化发生在 2800 cm- 1 至 3500 cm- 1 的光谱范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Forensic Science, Medicine and Pathology
Forensic Science, Medicine and Pathology MEDICINE, LEGAL-PATHOLOGY
CiteScore
3.90
自引率
5.60%
发文量
114
审稿时长
6-12 weeks
期刊介绍: Forensic Science, Medicine and Pathology encompasses all aspects of modern day forensics, equally applying to children or adults, either living or the deceased. This includes forensic science, medicine, nursing, and pathology, as well as toxicology, human identification, mass disasters/mass war graves, profiling, imaging, policing, wound assessment, sexual assault, anthropology, archeology, forensic search, entomology, botany, biology, veterinary pathology, and DNA. Forensic Science, Medicine, and Pathology presents a balance of forensic research and reviews from around the world to reflect modern advances through peer-reviewed papers, short communications, meeting proceedings and case reports.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信