Chitra Jangid MSc, Jyoti Dalal PhD, Kiran Kumari Malik PhD
{"title":"用旁遮普人类尸体的总水生分解分数估计死后淹没间隔。","authors":"Chitra Jangid MSc, Jyoti Dalal PhD, Kiran Kumari Malik PhD","doi":"10.1111/1556-4029.70040","DOIUrl":null,"url":null,"abstract":"<p>Estimation of the postmortem submersion interval (PMSI) using total aquatic decomposition scores (TADS) has shown considerable promise in recent forensic research. Since decomposition is a time- and temperature-dependent process, the Accumulated Degree Day (ADD) of water has been linked with TADS to improve the accuracy of PMSI estimations. Expanding research across diverse geographical areas and aquatic environments (lentic, lotic, freshwater, and saltwater) is essential to enhance the reliability and applicability of scoring methods. This study analyzed 50 cases from different districts of Punjab, with TADS ranging from 4 to 22, calculated using Heaton et al.'s method. These scores corresponded to various decomposition stages, with 22 cases in the early floating stage (ADD: 9.79–104.54), 21 cases in the floating decay stage (ADD: 104.54–459.33), and 7 cases in the advanced floating decay stage (ADD: 617.58–2018.19). Furthermore, a robust correlation between TADS and PMSI (<i>R</i><sup>2</sup> = 0.925, <i>p</i> < 0.001) confirms the reliability of TADS in estimating PMSI. The established regression equation, <span></span><math>\n <semantics>\n <mrow>\n <mtext>PMSI</mtext>\n <mspace></mspace>\n <mo>=</mo>\n <mspace></mspace>\n <msup>\n <mn>10</mn>\n <mfenced>\n <mrow>\n <mo>−</mo>\n <mn>0.160</mn>\n <mspace></mspace>\n <mo>+</mo>\n <mspace></mspace>\n <mn>0.07316</mn>\n <mo>×</mo>\n <mtext>TADS</mtext>\n </mrow>\n </mfenced>\n </msup>\n </mrow>\n <annotation>$$ \\mathrm{PMSI}\\kern0.5em =\\kern0.5em {10}^{\\left(-0.160\\kern0.5em +\\kern0.5em 0.07316\\times \\mathrm{TADS}\\right)} $$</annotation>\n </semantics></math>, provides a predictive tool for PMSI estimation. The findings suggest that TADS is a reliable indicator of PMSI and can be effectively applied in subtropical climates. The established regression equations provide a practical tool for estimating PMSI in human remains recovered from regions with similar climatic conditions.</p>","PeriodicalId":15743,"journal":{"name":"Journal of forensic sciences","volume":"70 4","pages":"1593-1602"},"PeriodicalIF":1.8000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of postmortem submersion interval using total aquatic decomposition scores of human cadavers from Punjab\",\"authors\":\"Chitra Jangid MSc, Jyoti Dalal PhD, Kiran Kumari Malik PhD\",\"doi\":\"10.1111/1556-4029.70040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Estimation of the postmortem submersion interval (PMSI) using total aquatic decomposition scores (TADS) has shown considerable promise in recent forensic research. Since decomposition is a time- and temperature-dependent process, the Accumulated Degree Day (ADD) of water has been linked with TADS to improve the accuracy of PMSI estimations. Expanding research across diverse geographical areas and aquatic environments (lentic, lotic, freshwater, and saltwater) is essential to enhance the reliability and applicability of scoring methods. This study analyzed 50 cases from different districts of Punjab, with TADS ranging from 4 to 22, calculated using Heaton et al.'s method. These scores corresponded to various decomposition stages, with 22 cases in the early floating stage (ADD: 9.79–104.54), 21 cases in the floating decay stage (ADD: 104.54–459.33), and 7 cases in the advanced floating decay stage (ADD: 617.58–2018.19). Furthermore, a robust correlation between TADS and PMSI (<i>R</i><sup>2</sup> = 0.925, <i>p</i> < 0.001) confirms the reliability of TADS in estimating PMSI. The established regression equation, <span></span><math>\\n <semantics>\\n <mrow>\\n <mtext>PMSI</mtext>\\n <mspace></mspace>\\n <mo>=</mo>\\n <mspace></mspace>\\n <msup>\\n <mn>10</mn>\\n <mfenced>\\n <mrow>\\n <mo>−</mo>\\n <mn>0.160</mn>\\n <mspace></mspace>\\n <mo>+</mo>\\n <mspace></mspace>\\n <mn>0.07316</mn>\\n <mo>×</mo>\\n <mtext>TADS</mtext>\\n </mrow>\\n </mfenced>\\n </msup>\\n </mrow>\\n <annotation>$$ \\\\mathrm{PMSI}\\\\kern0.5em =\\\\kern0.5em {10}^{\\\\left(-0.160\\\\kern0.5em +\\\\kern0.5em 0.07316\\\\times \\\\mathrm{TADS}\\\\right)} $$</annotation>\\n </semantics></math>, provides a predictive tool for PMSI estimation. The findings suggest that TADS is a reliable indicator of PMSI and can be effectively applied in subtropical climates. The established regression equations provide a practical tool for estimating PMSI in human remains recovered from regions with similar climatic conditions.</p>\",\"PeriodicalId\":15743,\"journal\":{\"name\":\"Journal of forensic sciences\",\"volume\":\"70 4\",\"pages\":\"1593-1602\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of forensic sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1556-4029.70040\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, LEGAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of forensic sciences","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1556-4029.70040","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
Estimation of postmortem submersion interval using total aquatic decomposition scores of human cadavers from Punjab
Estimation of the postmortem submersion interval (PMSI) using total aquatic decomposition scores (TADS) has shown considerable promise in recent forensic research. Since decomposition is a time- and temperature-dependent process, the Accumulated Degree Day (ADD) of water has been linked with TADS to improve the accuracy of PMSI estimations. Expanding research across diverse geographical areas and aquatic environments (lentic, lotic, freshwater, and saltwater) is essential to enhance the reliability and applicability of scoring methods. This study analyzed 50 cases from different districts of Punjab, with TADS ranging from 4 to 22, calculated using Heaton et al.'s method. These scores corresponded to various decomposition stages, with 22 cases in the early floating stage (ADD: 9.79–104.54), 21 cases in the floating decay stage (ADD: 104.54–459.33), and 7 cases in the advanced floating decay stage (ADD: 617.58–2018.19). Furthermore, a robust correlation between TADS and PMSI (R2 = 0.925, p < 0.001) confirms the reliability of TADS in estimating PMSI. The established regression equation, , provides a predictive tool for PMSI estimation. The findings suggest that TADS is a reliable indicator of PMSI and can be effectively applied in subtropical climates. The established regression equations provide a practical tool for estimating PMSI in human remains recovered from regions with similar climatic conditions.
期刊介绍:
The Journal of Forensic Sciences (JFS) is the official publication of the American Academy of Forensic Sciences (AAFS). It is devoted to the publication of original investigations, observations, scholarly inquiries and reviews in various branches of the forensic sciences. These include anthropology, criminalistics, digital and multimedia sciences, engineering and applied sciences, pathology/biology, psychiatry and behavioral science, jurisprudence, odontology, questioned documents, and toxicology. Similar submissions dealing with forensic aspects of other sciences and the social sciences are also accepted, as are submissions dealing with scientifically sound emerging science disciplines. The content and/or views expressed in the JFS are not necessarily those of the AAFS, the JFS Editorial Board, the organizations with which authors are affiliated, or the publisher of JFS. All manuscript submissions are double-blind peer-reviewed.