25 results about "Forensic science" patented technology

The invention belongs to the technical field of criminal investigation three-dimensional scene reconstruction and judicial deduction, and discloses a criminal investigation case three-dimensional scene reconstruction and judicial deduction virtual reality platform, which comprises the steps of fusing field cross-modal evidences, anchoring space-time coordinates through Beidou-block chain double references, and detecting material evidence conflicts. Constructing an adaptive arbitration factor based on a forensic parameter library, and generating a material evidence fusion packet; a resource slicing strategy is constructed to divide four-dimensional resource levels, text description is converted into a skeleton action topological chain, a space-time trajectory simplified set is constructed, case deduction is synchronously triggered, and a resource arbitration log is generated; constructing a physical deduction rule set, executing rainstorm scouring correction, and generating a physical deduction instruction set; performing case deduction resource scheduling, generating a three-dimensional deduction animation stream, constructing a judicial causal chain, and generating a crime logic analysis report; thermally loading the desensitization rule, and identifying and replacing the sensitive field; quantizing the deduction effectiveness, and optimizing and updating the forensic parameter library and the resource slicing strategy.

The invention provides an AISPN marker combination and a multi-dimensional ancestral and geographic inference model, and relates to the technical field of forensic medicine. According to the method, firstly, seven groups of ancestral inference SNP (Single Nucleotide Polymorphism) sites (AISNPs, AISNPs) of East Asia and Southeast Asia crowds are screened, the screened sites are respectively subjected to efficiency evaluation based on principal component analysis, ADMIXTURE and t-SNE methods, and a set of multi-dimensional ancestral and geographic source inference model is constructed in combination with six different machine learning methods. The AISPN marker combination provided by the invention comprises at least 50 AISPN sites, has relatively high differentiation in East Asia and Southeast Asia crowds, can distinguish nine crowds based on relatively few sites, provides site information for preparation of kits, and provides valuable information for research of forensic medicine, anthropology and population genetics.

The application belongs to the technical field of forensic medicine, and particularly relates to a multiple SNP combined microhaplotype amplification system and construction method, product and application based on one-step library construction. The application is based on RC-PCR technology, and constructs a one-step library construction composite amplification system. The amplification system comprises RC-Primer with a sequence as shown in SEQ ID No. 1-SEQ ID No. 210, I5-Primer with a sequence as shown in SEQ ID No. 211-SEQ ID No. 214, and I7-Primer with a sequence as shown in SEQ ID No. 215-SEQ ID No. 222. The method provided by the application realizes one-time PCR reaction, simultaneously completes targeted amplification and library construction, greatly shortens experimental time and simplifies experimental steps, and the advantage is more significant when a large number of samples are simultaneously detected.

This invention belongs to the field of environmental monitoring and forensic science testing, specifically relating to a magnetic walnut shell biochar material, its preparation method, and its application. The preparation method involves first pulverizing the walnut shell biochar, modifying it with phosphoric acid, and then loading it with Fe3O4 via a co-precipitation method to obtain the magnetic material. Using this as a magnetic solid-phase extraction adsorbent, combined with gas chromatography-mass spectrometry (GC-MS), it can achieve efficient enrichment and accurate detection of 11 cathinone-type new psychoactive substances in environmental water and urine. The detection process is simple to operate, has a high recovery rate, and strong anti-interference ability.

The present invention discloses a method for analyzing the proportion of donors in mixed DNA samples based on STR typing and residual matrix analysis. First, the minimum number of donors in the sample is calculated by the maximum allele counting method, and then the genotype distribution of the sample is fitted by an optimization algorithm. The difference between the predicted peak height and the actual measured peak height is compared to accurately estimate the proportion of each donor in the mixed DNA sample. Experimental results show that the present invention can effectively reduce the estimation error existing in traditional methods when processing multi-allele mixed DNA samples, especially showing high accuracy in complex sample analysis. By establishing a linear model and combining it with an optimization algorithm, the present invention not only provides high-precision technical support for DNA analysis in forensic science, but also provides a practical solution for the quantitative analysis of mixed DNA samples in other fields.

The invention relates to the technical field of forensic science criminal affairs, in particular to auxiliary equipment special for laboratory trace inspection and research, and more particularly relates to an electric heating fingerprint rapid baking device capable of adjusting temperature and time. An electric heating fingerprint rapid baking device capable of adjusting temperature and time comprises a box body, and a tray used for bearing experimental articles is arranged in the box body. The cover body covers the opening of the box body, a machine head part is fixed on the cover body, a heater and a fan are arranged in the machine head part, the heater heats towards the interior of the box body, and the fan blows air towards the heater. Through the effect of the heater, paper can be quickly dried, and fingerprints can be fumed; the baking device is good in overall stability during operation, so that an experiment has complete, objective and stable trace reflection under a certain same condition. The baking device is small in size, the fuming and drying temperature, time and the like can be adjusted, the application range is wide, and operation is convenient.

The invention discloses a 44 InDel genetic marker system for highly degraded sample typing, a detection primer and application of the 44 InDel genetic marker system and the detection primer, and belongs to the technical field of medical identification. Through bioinformatics screening and experimental verification, an insertion and deletion (InDel) genetic marker system which is composed of 44 autosomal InDel and a sex identification gene AMEL site and has amplicon length not exceeding 125 bp is constructed, and the genetic marker system is suitable for capillary electrophoresis typing and is specially designed for highly degradable detection materials. The system is simple and convenient to operate, economical and efficient, can remarkably improve the complete typing success rate of the degraded sample, and is convenient to popularize and apply in forensic medicine laboratories. The invention provides a novel technical scheme which is efficient and compatible with a capillary electrophoresis platform for forensic practice.

The present disclosure provides a forensic case data analysis model training method and a case data analysis method, wherein the training method comprises: obtaining a plurality of sets of sample forensic information based on a plurality of sample forensic case data; training the preset large language model based on each set of sample forensic information and the model fine-tuning strategy corresponding to each type of sub-sample forensic information included in the sample forensic information, to obtain the forensic case data analysis model; wherein the forensic case data analysis model is used to infer and analyze the corresponding target inference analysis result based on the input target forensic case data. The forensic case data analysis model obtained by the above training method can obtain corresponding case analysis results for different input conditions, improving the case analysis efficiency.

The invention relates to the technical field of forensic medicine, and particularly discloses a typing system containing 29 groups of X chromosome STR gene loci as well as a primer composition and application of the typing system. Through screening and evaluation, a typing system containing 29 groups of X chromosome STR gene loci is provided, and the typing system comprises 19 independent X-STRs and 47 X-STRs including 10 X-STR linkage clusters. The typing system provided by the invention can be used for further identification when the relationship between two individuals is determined to belong to a secondary genetic relationship and various genetic relationships cannot be identified by autosomal loci. Compared with the typing system of the X chromosome STR gene locus in the prior art, the typing system provided by the invention has higher accuracy, is suitable for more complicated genetic relationship identification situations, and provides more reliable evidence support for genetic relationship identification.

The invention relates to an STR marker combination for dogs and application of the STR marker combination, and belongs to the technical field of molecular biology and forensic identification. The STR marker combination comprises a combination of any four STR gene loci in the following 20 gene loci: PEZ1, PEZ2, FH2010, PEZ5, PEZ12, FH2309, PEZ20, PEZ15, FH2079, PEZ8, FH3377, PEZ21, PEZ3, PEZ6, FH2004, FH2054, VWFX, FH2611, FH2132 and FH2328, and a combination of any four STR gene loci in the following 20 gene loci. The STR marker combination further comprises a gene locus Amel for identifying sex. Through reasonable gene locus and fragment combination and fluorescent combination, the problem of simultaneous PCR amplification of 21 fluorescent primer single tubes is solved. And secondly, the technical verification index of the 10 [mu] L reaction system completely meets the forensic medicine application requirements, and the cost is greatly reduced. And finally, through cooperation of multiple departments, an STR database of 1000 kinds of dogs in the Chengdu region based on the system is constructed for the first time, and the application basis for effectiveness calculation is solved.

The invention belongs to the technical field of forensic medicine and biological medicine, discloses a method for forensic medicine identification of corpses in water based on metagenomics markers and application, and aims to solve the problems that existing drowning diagnosis is insufficient in accuracy and the deduction of post-death submerging time (PMSI) is limited. The method comprises the following steps: collecting a corpse lung tissue in water and a water sample in a corresponding water area, and obtaining a microbial DNA sequence by adopting a metagenome sequencing technology; the method comprises the following steps: processing data through bioinformatics analysis (such as fastp quality control, host sequence removal by KneadData and Kraken2 species annotation), and selecting and screening species level microbial markers in combination with a random forest algorithm and Boruta characteristics; and respectively establishing a drowning diagnosis model and a PMSI inference model based on the screened markers, and verifying the performance of the models through indexes such as AUC and MAE. Complete microbial communities of bacteria, eukaryotes (including fungi), archaea and viruses in lung tissues of corpses in water are comprehensively analyzed for the first time, 17 bacterial markers and 9 eukaryote markers are screened out for drowning diagnosis (verification experiment bacterial model AUC = 1, the accuracy rate is 89.29%, eukaryote model AUC = 0.95, the accuracy rate is 87.5%), and 17 markers are screened out for PMSI inference (integrated model MAE = 0.66 days). According to the method, the species resolution reaches the species level, the method is not influenced by amplification bias, the method is suitable for different water area environments, and an efficient and objective forensic medicine tool is provided for identifying the cause of the dead body in water and deducing the submerged time after the dead body.

The invention discloses a 28 Multi-InDel marker composite system based on an eight-color fluorescence detection technology, a detection primer and application, and belongs to the technical field of forensic medicine identification. According to the invention, the eight-color fluorescence technology is applied to Multi-InDel detection for the first time, 28 autosomal short segment site genetic marker systems are integrated, and the amount of detection information is significantly increased. The system has excellent adaptability to highly degraded DNA samples, the detection rate is high, the extremely low cumulative matching probability (2.3292 * 10 <-18 >) and the extremely high cumulative exclusion probability (0.9999669) are shown, and an efficient and reliable technical scheme is provided for forensic degraded sample identification.

The invention discloses a composite amplification detection system of X chromosome DIP polymorphic loci and application thereof, the composite amplification detection system comprises 50 X chromosome DIP polymorphic loci, a sex identification locus Amelogenin and two Y chromosome DIP loci, 15 loci of the 50 X chromosome DIP polymorphic loci can form 6 linkage groups, and 15 loci of the 50 X chromosome DIP polymorphic loci can form 6 linkage groups. And the method has higher forensic medicine application efficiency. According to the multiplex amplification detection system disclosed by the invention, a miniaturized amplicon (70-205 bp) is designed, so that accurate typing analysis on a degraded detection material in forensic practice is effectively carried out. Meanwhile, the multiplex amplification detection system is simple, convenient, low in cost and easy to popularize, and has important significance on individual identification and complex genetic relationship identification of East Asian population.

The present application relates to the field of forensic science, and specifically relates to a death time prediction method based on a Stacking integrated method and comprehensive multi-omics data, comprising the following steps: collecting rat skeletal muscle samples, using metabolomics, protein chip and infrared spectrum detection technology to extract the expression amount of related biomarkers in the tissue; inputting the expression amount data of the biomarkers into a plurality of basic models respectively to deduce the death time, and screening out a single-omics optimal basic model with the best death time prediction performance; screening out two basic models with the lowest correlation with the single-omics optimal basic model to jointly construct a single-omics Stacking model; and connecting the above single-omics Stacking integrated model in series to construct a multi-omics integrated model. The present application provides a new method and new idea for predicting death time by combining multi-omics multi-molecular markers, and lays a foundation for applying a multi-omics joint machine learning model to death time deduction practice.

The invention relates to the technical field of forensic medicine and molecular biology, and discloses an isomerism twin identification method based on long-chain non-coding RNA (lncRNA) expression difference and application of the isomerism twin identification method. In order to solve the problems that the existing DNA typing technology cannot distinguish the same-egg twin and the stability of epigenetic markers is poor, the lncRNA molecules differentially expressed between the same-egg twin are screened through high-throughput sequencing, and the real-time fluorescent quantitative PCR (qPCR) is used for verification. The key lncRNA marker MSTRG.73422.1 (LncR3) has a remarkable expression difference in all the 9 pairs of twentys, and the key lncRNA marker MSTRG.73422.1 (LncR3) has a remarkable expression difference. The method provided by the invention can still stably detect bloodstains preserved at room temperature for 180 days and 10 times of repeated freezing and thawing, and has high stability, high sensitivity and high specificity. The technical process is based on a qPCR platform, operation is easy and convenient, the method is suitable for a conventional forensic medicine laboratory, and the technical problem of identification of homozygous twin individuals is solved.

The application provides a biomarker combination specific to coronary sudden death and application and products thereof, and belongs to the technical field of forensic science.The biomarker combination comprises ascorbic acid, docosahexaenoic acid, carnitine, glutamine and norleucine.The biomarker combination is significantly changed in serum samples of individuals with coronary sudden death, and after ROC verification, shows good diagnostic performance, indicating that it has the potential to be applied to forensic identification of coronary sudden death.The potential application value of the non-targeted metabolomics strategy of the application in difficult and complex death cause identification provides a new idea for molecular diagnosis of death cause investigation.

The invention belongs to the technical field of forensic medicine, physical evidence inspection and criminal science, and discloses a method for identifying and detecting iron electric melting beads in electric shock cases, which comprises the following steps: S1, extracting a sample to be detected: extracting the sample from a suspected electric shock part by using a conductive adhesive sticking table; s2, primary screening with a scanning electron microscope: placing the extracted sample in a scanning electron microscope sample bin, and waiting for detection under the condition that the vacuum degree is less than 10 <-3 > Pa; identifying the metal particles by using an electron microscope back scattering probe in a back scattering mode; and S3, energy spectrum analysis: performing elemental component analysis on the identified metal particles by using an X-ray energy spectrometer, and screening the particles of which the iron content meets a preset condition. According to the method, the morphological judgment standard of the brain lines of the iron electric melting beads is provided, component analysis and morphological characteristics are closely combined, the problem of distinguishing iron electrode electric shock events from common iron particles in the environment is effectively solved, and more reliable binary evidence is provided for case qualification.

The application relates to the field of forensic identification, and discloses a microhaplotype genetic marker system for mixed stain inspection and a method and application thereof. The system contains 135 microhaplotype sites of autosomes and corresponding amplification primers, and a microhaplotype typing system based on MPS technology is constructed, which has good sensitivity, specificity and inhibitor tolerance. Further combined with a microfluidic chip, automatic capture and whole genome amplification of single cells are realized, and the average locus detection rate of single cell samples reaches 83.48% in cooperation with a short fragment microhaplotype marker system, and individual sources in complex mixed stains can be accurately distinguished. The system can be widely applied to scenes such as individual identification, kinship identification and mixed stain analysis in forensic science.

This invention belongs to the field of criminal investigation 3D scene reconstruction and judicial deduction technology. It discloses a virtual reality platform for criminal investigation 3D scene reconstruction and investigation deduction, comprising: fusing cross-modal evidence from the scene, anchoring spatiotemporal coordinates using a BeiDou-blockchain dual-reference system, detecting evidence conflicts, constructing an adaptive arbitration factor based on a forensic parameter library, and generating an evidence fusion package; constructing a resource slicing strategy to divide four-dimensional resource levels, converting text descriptions into skeletal motion topology chains, constructing a simplified spatiotemporal trajectory set, synchronously triggering case deduction, and generating a resource arbitration log; constructing a physical deduction rule set, then executing rainstorm erosion correction to generate a physical deduction instruction set; performing case deduction resource scheduling, generating a 3D deduction animation stream, constructing a judicial causal chain, and generating a crime logic analysis report; hot-loading desensitization rules to identify and replace sensitive fields; quantifying the effectiveness of the deduction, and optimizing and updating the forensic parameter library and resource slicing strategy.

The invention relates to the technical field of biogenetics, and provides a primer composition and a method for detecting an mtDNA-SNP haplogroup and application of the primer composition and the method. According to the haplogroup frequency of intercontinental and East Asian population, the haplogroups with populations commonly existing and specifically distributed are selected, then 257 mtDNA-SNP loci are screened out, and a method for detecting the haplogroups of the intercontinental and East Asian population is designed. According to the method, haplogroups are speculated on the basis of SNP detection results, common haplogroups of different African people and specific haplogroups of people in East Asia can be divided in combination with distribution frequencies of mtDNA haplogroups in different people, and the method can be used for biogeography traceability of intercontinental and East Asia people and also has important application value in maternal genetic relationship identification. According to the method, few sites are utilized, the detection sensitivity is high, the specificity is good, a high-resolution haplogroup result can be obtained, haplogroup division is careful, inference is accurate, and a group and individual biological geographic traceability inference technology which is high in sensitivity, high in resolution and high in system efficiency is provided for forensic medicine practice.

The invention relates to the technical field of forensic scientific detection, in particular to a feeding bottle material identification and brand tracing method. The concentration of the VOCs in the baby feeding bottle is low, and the HS-GC-IMS is used for capturing and analyzing the residual trace VOCs in the sample, so that the detection sensitivity is improved; hierarchical modeling methods of chemometrics and machine learning show strong ability in the aspects of processing high-dimensional chemical data sets and identifying complex modes. According to the method disclosed by the invention, the volatile components in the baby feeding bottle are detected and analyzed by adopting a chemometrics and machine learning assisted HS-GC-IMS method for the first time, and a rapid and accurate detection method is established, so that the identification and traceability of the material and brand of the feeding bottle are realized.

The present application relates to the field of forensic science, and in particular to a dynamic integrated selection death time inference strategy in the view of metabolomics, and the present application constructs a dynamic integrated selection model to infer the death time based on the metabolite expression profile in the lung of a rat after death detected by non-targeted metabolomics, selects four models with the best death time prediction performance from seven models to construct a model algorithm pool, and on this basis, uses Stacking and Voting static integration and DES dynamic integration selection to integrate and optimize the model algorithm pool in different strategies, and the results show that the dynamic integration selection algorithm based on DES effectively improves the prediction accuracy of the death time. The present application combines metabolomics with a dynamic selection algorithm for the first time in death time inference, and provides a new attempt to improve the prediction accuracy of the death time.

This invention relates to the fields of medical image processing, artificial intelligence, and forensic identification technology. It discloses a deep learning-based forensic CT image-assisted cause-of-death deduction system and method, addressing the knowledge barriers and talent bottlenecks in CT image interpretation during forensic identification. The system includes a data acquisition module, an image preprocessing module, a multimodal feature extraction and fusion module, and an auxiliary inference module. The method acquires PMCT images and case information, preprocesses the images, extracts and fuses multimodal features, uses a pre-trained classification model to calculate the probability of the cause of death category, and outputs an auxiliary report. This invention integrates forensic knowledge with deep learning technology to achieve automated and standardized interpretation of CT images. By combining multimodal data from images and case information for comprehensive analysis, the output results are interpretable, providing forensic personnel with an objective and quantitative auxiliary judgment tool, significantly improving the efficiency, scientific rigor, and objectivity of forensic identification.

The invention discloses a high-coverage forensic medicine STR-SNP (short tandem repeat-single nucleotide polymorphism) multi-marker joint detection system and application thereof, and belongs to the technical field of biotechnology and genetics. The detection system comprises amplification primers of 88 STRs (short tandem repeats) and 348 SNP (single nucleotide polymorphism) sites; the nucleotide sequence of the primer composition for amplifying the 88 STR sites is as shown in SEQ ID No. 1-176, and the nucleotide sequence of the primer composition for amplifying the 348 SNP sites is as shown in SEQ ID No. 177-872. 88 STR candidate markers and 348 SNP candidate markers are screened according to the background of Chinese population genetics, a method for detecting the STR and the SNP is designed, and the method is good in accuracy, large in provided information content and capable of being applied to forensic medicine individual recognition and genetic relationship identification.

The invention relates to an intelligent analysis system and method based on fire scene human body thermal injury traces, and belongs to the technical field of forensic medicine identification and artificial intelligence crossing. According to the system, a labeling database containing multiple types of thermal injury traces is constructed by collecting human body burn trace images of dead and wounded persons in a fire scene; extracting multi-modal features of the image by using a convolutional neural network; the training of the deep learning model comprises the following steps: automatically identifying and classifying thermal damage traces (including flame damage, incandescent body contact damage, gas explosion damage, combustion improver related damage, mechanical superposition damage, moored burn and the like); deducing injury reasons and processes; judging the death reason and time (distinguishing burn-to-death before birth and burn-to-death after birth); death mode analysis (normal / self-burning / other-killing); and comprehensively studying and judging the fire property (accident / misfire / fire release). According to the method, the accuracy and efficiency problems caused by the fact that traditional fire investigation depends on subjective experience are solved, and scientific and efficient technical support is provided for case detection.