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John V. Goodpaster - One of the best experts on this subject based on the ideXlab platform.
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The effects of microbial degradation on ignitable liquids
Analytical and Bioanalytical Chemistry, 2009Co-Authors: Dee A. Turner, John V. GoodpasterAbstract:The identification of ignitable liquid residues in fire debris is a key finding for determining the cause and origin of a suspicious fire. However, the complex mixtures of organic compounds that comprise ignitable liquids are susceptible to microbiological attack following collection of the sample. Biodegradation can result in selective removal of many of the compounds required for identification of an ignitable liquid. Such degradation has been found to occur rapidly in substrates such as soil, rotting wood, or other organic matter. Furthermore, fire debris Evidence must often be stored for extended periods at room temperature prior to analysis due to case backlogs and available Evidence Storage. Hence, extensive damage to ignitable liquid residues by microbes poses a significant threat to subsequent laboratory work. In this work, the effects of microbial degradation of ignitable liquids in soil have been evaluated as a function of time. Key findings include the loss of n -alkanes, particularly C_9–C_16, which showed the most dramatic decrease in gasoline as well as the petroleum distillates, while branched alkanes remained unchanged. Monosubstituted benzenes also showed the most dramatic loss in gasoline. In the heavy petroleum distillates, n -alkanes with even carbon numbers were degraded more than n -alkanes with odd carbon numbers. Figure A “fully involved” house fire in Indianapolis, IN
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The effects of microbial degradation on ignitable liquids.
Analytical and bioanalytical chemistry, 2009Co-Authors: Dee A. Turner, John V. GoodpasterAbstract:The identification of ignitable liquid residues in fire debris is a key finding for determining the cause and origin of a suspicious fire. However, the complex mixtures of organic compounds that comprise ignitable liquids are susceptible to microbiological attack following collection of the sample. Biodegradation can result in selective removal of many of the compounds required for identification of an ignitable liquid. Such degradation has been found to occur rapidly in substrates such as soil, rotting wood, or other organic matter. Furthermore, fire debris Evidence must often be stored for extended periods at room temperature prior to analysis due to case backlogs and available Evidence Storage. Hence, extensive damage to ignitable liquid residues by microbes poses a significant threat to subsequent laboratory work. In this work, the effects of microbial degradation of ignitable liquids in soil have been evaluated as a function of time. Key findings include the loss of n-alkanes, particularly C9–C16, which showed the most dramatic decrease in gasoline as well as the petroleum distillates, while branched alkanes remained unchanged. Monosubstituted benzenes also showed the most dramatic loss in gasoline. In the heavy petroleum distillates, n-alkanes with even carbon numbers were degraded more than n-alkanes with odd carbon numbers.
Dee A. Turner - One of the best experts on this subject based on the ideXlab platform.
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The effects of microbial degradation on ignitable liquids
Analytical and Bioanalytical Chemistry, 2009Co-Authors: Dee A. Turner, John V. GoodpasterAbstract:The identification of ignitable liquid residues in fire debris is a key finding for determining the cause and origin of a suspicious fire. However, the complex mixtures of organic compounds that comprise ignitable liquids are susceptible to microbiological attack following collection of the sample. Biodegradation can result in selective removal of many of the compounds required for identification of an ignitable liquid. Such degradation has been found to occur rapidly in substrates such as soil, rotting wood, or other organic matter. Furthermore, fire debris Evidence must often be stored for extended periods at room temperature prior to analysis due to case backlogs and available Evidence Storage. Hence, extensive damage to ignitable liquid residues by microbes poses a significant threat to subsequent laboratory work. In this work, the effects of microbial degradation of ignitable liquids in soil have been evaluated as a function of time. Key findings include the loss of n -alkanes, particularly C_9–C_16, which showed the most dramatic decrease in gasoline as well as the petroleum distillates, while branched alkanes remained unchanged. Monosubstituted benzenes also showed the most dramatic loss in gasoline. In the heavy petroleum distillates, n -alkanes with even carbon numbers were degraded more than n -alkanes with odd carbon numbers. Figure A “fully involved” house fire in Indianapolis, IN
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The effects of microbial degradation on ignitable liquids.
Analytical and bioanalytical chemistry, 2009Co-Authors: Dee A. Turner, John V. GoodpasterAbstract:The identification of ignitable liquid residues in fire debris is a key finding for determining the cause and origin of a suspicious fire. However, the complex mixtures of organic compounds that comprise ignitable liquids are susceptible to microbiological attack following collection of the sample. Biodegradation can result in selective removal of many of the compounds required for identification of an ignitable liquid. Such degradation has been found to occur rapidly in substrates such as soil, rotting wood, or other organic matter. Furthermore, fire debris Evidence must often be stored for extended periods at room temperature prior to analysis due to case backlogs and available Evidence Storage. Hence, extensive damage to ignitable liquid residues by microbes poses a significant threat to subsequent laboratory work. In this work, the effects of microbial degradation of ignitable liquids in soil have been evaluated as a function of time. Key findings include the loss of n-alkanes, particularly C9–C16, which showed the most dramatic decrease in gasoline as well as the petroleum distillates, while branched alkanes remained unchanged. Monosubstituted benzenes also showed the most dramatic loss in gasoline. In the heavy petroleum distillates, n-alkanes with even carbon numbers were degraded more than n-alkanes with odd carbon numbers.
Kimkwang Raymond Choo - One of the best experts on this subject based on the ideXlab platform.
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data reduction and data mining framework for digital forensic Evidence Storage intelligence review and archive
Trends and issues in crime and criminal justice, 2014Co-Authors: Darren Quick, Kimkwang Raymond ChooAbstract:With the volume of digital forensic Evidence rapidly increasing, this paper proposes a data reduction and data mining framework that incorporates a process of reducing data volume by focusing on a subset of information. Foreword The volume of digital forensic Evidence is rapidly increasing, leading to large backlogs. In this paper, a Digital Forensic Data Reduction and Data Mining Framework is proposed. Initial research with sample data from South Australia Police Electronic Crime Section and Digital Corpora Forensic Images using the proposed framework resulted in significant reduction in the Storage requirements—the reduced subset is only 0.196 percent and 0.75 percent respectively of the original data volume. The framework outlined is not suggested to replace full analysis, but serves to provide a rapid triage, collection, intelligence analysis, review and Storage methodology to support the various stages of digital forensic examinations. Agencies that can undertake rapid assessment of seized data can more effectively target specific criminal matters. The framework may also provide a greater potential intelligence gain from analysis of current and historical data in a timely manner, and the ability to undertake research of trends over time.
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data reduction and data mining framework for digital forensic Evidence Storage intelligence review and archive
Trends and issues in crime and criminal justice, 2014Co-Authors: Darren Quick, Kimkwang Raymond ChooAbstract:The volume of digital forensic Evidence is rapidly increasing, leading to large backlogs. In this paper, a Digital Forensic Data Reduction and Data Mining Framework is proposed. Initial research with sample data from South Australia Police Electronic Crime Section and Digital Corpora Forensic Images using the proposed framework resulted in significant reduction in the Storage requirements — the reduced subset is only 0.196 percent and 0.75 percent respectively of the original data volume. The framework outlined is not suggested to replace full analysis, but serves to provide a rapid triage, collection, intelligence analysis, review and Storage methodology to support the various stages of digital forensic examinations. Agencies that can undertake rapid assessment of seized data can more effectively target specific criminal matters. The framework may also provide a greater potential intelligence gain from analysis of current and historical data in a timely manner, and the ability to undertake research of trends over time.
Darren Quick - One of the best experts on this subject based on the ideXlab platform.
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data reduction and data mining framework for digital forensic Evidence Storage intelligence review and archive
Trends and issues in crime and criminal justice, 2014Co-Authors: Darren Quick, Kimkwang Raymond ChooAbstract:With the volume of digital forensic Evidence rapidly increasing, this paper proposes a data reduction and data mining framework that incorporates a process of reducing data volume by focusing on a subset of information. Foreword The volume of digital forensic Evidence is rapidly increasing, leading to large backlogs. In this paper, a Digital Forensic Data Reduction and Data Mining Framework is proposed. Initial research with sample data from South Australia Police Electronic Crime Section and Digital Corpora Forensic Images using the proposed framework resulted in significant reduction in the Storage requirements—the reduced subset is only 0.196 percent and 0.75 percent respectively of the original data volume. The framework outlined is not suggested to replace full analysis, but serves to provide a rapid triage, collection, intelligence analysis, review and Storage methodology to support the various stages of digital forensic examinations. Agencies that can undertake rapid assessment of seized data can more effectively target specific criminal matters. The framework may also provide a greater potential intelligence gain from analysis of current and historical data in a timely manner, and the ability to undertake research of trends over time.
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data reduction and data mining framework for digital forensic Evidence Storage intelligence review and archive
Trends and issues in crime and criminal justice, 2014Co-Authors: Darren Quick, Kimkwang Raymond ChooAbstract:The volume of digital forensic Evidence is rapidly increasing, leading to large backlogs. In this paper, a Digital Forensic Data Reduction and Data Mining Framework is proposed. Initial research with sample data from South Australia Police Electronic Crime Section and Digital Corpora Forensic Images using the proposed framework resulted in significant reduction in the Storage requirements — the reduced subset is only 0.196 percent and 0.75 percent respectively of the original data volume. The framework outlined is not suggested to replace full analysis, but serves to provide a rapid triage, collection, intelligence analysis, review and Storage methodology to support the various stages of digital forensic examinations. Agencies that can undertake rapid assessment of seized data can more effectively target specific criminal matters. The framework may also provide a greater potential intelligence gain from analysis of current and historical data in a timely manner, and the ability to undertake research of trends over time.
Diana W Williams - One of the best experts on this subject based on the ideXlab platform.
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individualization of pubic hair bacterial communities and the effects of Storage time and temperature
Forensic Science International-genetics, 2017Co-Authors: Diana W Williams, Greg GibsonAbstract:Abstract A potential application of microbial genetics in forensic science is detection of transfer of the pubic hair microbiome between individuals during sexual intercourse using high-throughput sequencing. In addition to the primary need to show whether the pubic hair microbiome is individualizing, one aspect that must be addressed before using the microbiome in criminal casework involves the impact of Storage on the microbiome of samples recovered for forensic testing. To test the effects of short-term Storage, pubic hair samples were collected from volunteers and stored at room temperature (∼20°C), refrigerated (4°C), and frozen (–20°C) for 1 week, 2 weeks, 4 weeks, and 6 weeks along with a baseline sample. Individual microbial profiles (R 2 =0.69) and gender (R 2 =0.17) were the greatest sources of variation between samples. Because of this variation, individual and gender could be predicted using Random Forests supervised classification in this sample set with an overall error rate of 2.7%± 5.8% and 1.7%±5.2%, respectively. There was no statistically significant difference attributable to time of sampling or temperature of Storage within individuals. Further work on larger sample sets will quantify the temporal consistency of individual profiles and define whether it is plausible to detect transfer between sexual partners. For short-term Storage (≤6 weeks), recovery of the microbiome was not affected significantly by either Storage time or temperature, suggesting that investigators and crime laboratories can use existing Evidence Storage methods.