Study of chemiluminescence measured by luminometry and its application in the estimation of postmortem interval of bone remains

Sarabia, Jesus A. Hernandez; Pérez-Martínez, Cristina; Rincón, Juan Pedro Hernández del; Luna, Aurelio

doi:10.1016/j.legalmed.2018.05.001

Cited by 15 publications

(11 citation statements)

References 24 publications

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“…Of note, fresh iliac samples were characterized by the presence of 73 proteins found exclusively in that sample type and not in tibia samples (Supporting Information, Data 3). Among these, 38 are blood/serum proteins, and the remainder are bonespecific/mineral-binding (17), extracellular matrix (1), ubiq-uitous (13), and muscle (4) proteins. When considering protein-relative abundances, among the 116 proteins with significantly different relative abundances between the various bones and sampling times (i.e., fresh vs skeletonized), 105 (90.5%) were more abundant in the fresh iliac samples, eight (6.9%) in the skeletonized tibia samples, two (1.7%) in the fresh tibia samples, and one (0.9%) in the skeletonized iliac samples (Supporting Information, Data 4).…”

Section: Human Proteomic Inter-skeletal and Inter-individual Variabilitymentioning

confidence: 99%

“…PMI estimation often relies on visual assessment of gross morphological changes of the body during decomposition, − even though the rate of these changes is known to be highly variable. , Accuracy of the PMI estimation decreases as decomposition progresses, and interobserver reliability differs depending on the method and the experience of the researcher. , Biochemical techniques have shown promising results in the search for a precise and accurate method to estimate late PMI in human bone; however, these methods are yet to be validated for use in forensic contexts. − …”

Section: Introductionmentioning

confidence: 99%

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Human Bone Proteomes before and after Decomposition: Investigating the Effects of Biological Variation and Taphonomic Alteration on Bone Protein Profiles and the Implications for Forensic Proteomics

et al. 2021

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Bone proteomic studies using animal proxies and skeletonized human remains have delivered encouraging results in the search for potential biomarkers for precise and accurate postmortem interval (PMI) and the age-at-death (AAD) estimation in medico-legal investigations. The development of forensic proteomics for PMI and AAD estimation is in critical need of research on human remains throughout decomposition, as currently the effects of both inter-individual biological differences and taphonomic alteration on the survival of human bone protein profiles are unclear. This study investigated the human bone proteome in four human body donors studied throughout decomposition outdoors. The effects of ageing phenomena (in vivo and post-mortem) and intrinsic and extrinsic variables on the variety and abundancy of the bone proteome were assessed. Results indicate that taphonomic and biological variables play a significant role in the survival of proteins in bone. Our findings suggest that inter-individual and inter-skeletal differences in bone mineral density (BMD) are important variables affecting the survival of proteins. Specific proteins survive better within the mineral matrix due to their mineralbinding properties. The mineral matrix likely also protects these proteins by restricting the movement of decomposer microbes. New potential biomarkers for PMI estimation and AAD estimation were identified. Future development of forensic bone proteomics should include standard measurement of BMD and target a combination of different biomarkers.

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Section: Human Proteomic Inter-skeletal and Inter-individual Variabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Human Bone Proteomes before and after Decomposition: Investigating the Effects of Biological Variation and Taphonomic Alteration on Bone Protein Profiles and the Implications for Forensic Proteomics

et al. 2021

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“…Biochemical techniques have emerged as precise and accurate methods to estimate PMI via analyses of proteins, metabolites, and RNA. These methods need to be validated for applications in forensic contexts [173][174][175]. Among the samples to be used, bone is a promising one for the development of PMI estimation methods with high accuracy, preciseness, and objectiveness.…”

Section: Decomposition Fluidmentioning

confidence: 99%

Proteomics in Forensic Analysis: Applications for Human Samples

et al. 2021

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Proteomics, the large-scale study of all proteins of an organism or system, is a powerful tool for studying biological systems. It can provide a holistic view of the physiological and biochemical states of given samples through identification and quantification of large numbers of peptides and proteins. In forensic science, proteomics can be used as a confirmatory and orthogonal technique for well-built genomic analyses. Proteomics is highly valuable in cases where nucleic acids are absent or degraded, such as hair and bone samples. It can be used to identify body fluids, ethnic group, gender, individual, and estimate post-mortem interval using bone, muscle, and decomposition fluid samples. Compared to genomic analysis, proteomics can provide a better global picture of a sample. It has been used in forensic science for a wide range of sample types and applications. In this review, we briefly introduce proteomic methods, including sample preparation techniques, data acquisition using liquid chromatography-tandem mass spectrometry, and data analysis using database search, spectral library search, and de novo sequencing. We also summarize recent applications in the past decade of proteomics in forensic science with a special focus on human samples, including hair, bone, body fluids, fingernail, muscle, brain, and fingermark, and address the challenges, considerations, and future developments of forensic proteomics.

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“…Several studies focus on bones’ chemical and physical changes after death and the varied factors affecting the diagenetic process [ 16 , 17 , 18 ]. So far, techniques applied to determine the time elapsed since death of skeletal remains include histological examination [ 19 , 20 , 21 ], reaction with a mineral acid, reaction with benzidine, nitrogen loss [ 22 ], proteomics [ 23 , 24 , 25 , 26 ], metabarcoding [ 27 , 28 ], degradation of lipids, remnants of fat-transgression [ 29 ], high performance liquid chromatography–tandem mass spectrometry [ 30 ], UV-Vis spectroscopic methods [ 11 , 31 , 32 , 33 , 34 ], radioisotope measurements [ 27 , 35 , 36 , 37 ], luminol chemiluminescent reaction [ 3 , 36 , 38 , 39 , 40 ], X-ray diffraction [ 10 , 41 , 42 ], micro-computed tomography [ 42 ], and infrared (IR) spectroscopy [ 4 , 8 , 9 , 33 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 ]. Some of these methods are destructive, others lack objectivity.…”

Section: Introductionmentioning

confidence: 99%

Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry

Schmidt

Zelger

Wöss

et al. 2022

Biology

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Estimating the post-mortem interval (PMI) of human skeletal remains is a critical issue of forensic analysis, with important limitations such as sample preparation and practicability. In this work, NIR spectroscopy (NIRONE® Sensor X; Spectral Engines, 61449, Germany) was applied to estimate the PMI of 104 human bone samples between 1 day and 2000 years. Reflectance data were repeatedly collected from eight independent spectrometers between 1950 and 1550 nm with a spectral resolution of 14 nm and a step size of 2 nm, each from the external and internal bone. An Artificial Neural Network was used to analyze the 66,560 distinct diagnostic spectra, and clearly distinguished between forensic and archaeological bone material: the classification accuracies for PMIs of 0–2 weeks, 2 weeks–6 months, 6 months–1 year, 1 year–10 years, and >100 years were 0.90, 0.94, 0.94, 0.93, and 1.00, respectively. PMI of archaeological bones could be determined with an accuracy of 100%, demonstrating the adequate predictive performance of the model. Applying a handheld NIR spectrometer to estimate the PMI of human skeletal remains is rapid and extends the repertoire of forensic analyses as a distinct, novel approach.

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Study of chemiluminescence measured by luminometry and its application in the estimation of postmortem interval of bone remains

Cited by 15 publications

References 24 publications

Human Bone Proteomes before and after Decomposition: Investigating the Effects of Biological Variation and Taphonomic Alteration on Bone Protein Profiles and the Implications for Forensic Proteomics

Human Bone Proteomes before and after Decomposition: Investigating the Effects of Biological Variation and Taphonomic Alteration on Bone Protein Profiles and the Implications for Forensic Proteomics

Proteomics in Forensic Analysis: Applications for Human Samples

Post-Mortem Interval of Human Skeletal Remains Estimated with Handheld NIR Spectrometry

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