Bannwarth, A, Morelato, M, Benaglia, L, Been, F, Esseiva, P, Delemont, O & Roux, C 2019, 'The use of wastewater analysis in forensic intelligence: drug consumption comparison between Sydney and different European cities', Forensic Sciences Research, vol. 4, no. 2, pp. 141-151.
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© 2019, © 2019 The Author(s). Published by Taylor & Francis Group on behalf of the Academy of Forensic Science. Wastewater analysis offers objective and complementary information to illicit drug agencies by monitoring patterns of illicit drug consumption. In this study, wastewater samples from three different wastewater treatment plants in Sydney, Australia were collected in March 2016. Ten targeted drugs were analysed and temporal and geographical analyses were performed to obtain a better understanding of the type and amount of illicit drugs consumed in Sydney in comparison with similar studies conducted around Australia and in Europe. Among the targeted drugs, methamphetamine was consumed the most, followed by cocaine and 3,4-methylenedioxymethamphetamine (MDMA). Weekly patterns were observed where a peak during the weekend was present. The geographical analysis showed differences between the regions targeted. This observation may be related to socio-demographic aspects. The comparison of our study to other data sources from Australia showed a high consumption of methamphetamine in Sydney and Western Australia. The comparison between Sydney and different European cities revealed a difference in consumption, which is in line with traditional market indicators. The information obtained through wastewater analysis provides complementary information regarding illicit drug consumption, the size, and the evolution of the illicit drug market. This, ultimately, will assist authorities in making informed decisions.
Bedward, TM, Xiao, L & Fu, S 2019, 'Application of Raman spectroscopy in the detection of cocaine in food matrices', Australian Journal of Forensic Sciences, vol. 51, no. 2, pp. 209-219.
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© 2017 Australian Academy of Forensic Sciences While modern methodologies for the smuggling of illicit substances often tend towards more elaborate inventions, the simple practice of concealing cocaine hydrochloride within food matrices is becoming increasingly popular. This study was conducted to develop and optimize a Raman spectroscopic method capable of identifying and quantifying cocaine hydrochloride concealed within food matrices. Samples of cocaine hydrochloride were concealed within baking powder, cake mix and white rum, with identification of the drug achieved through a combination of manual and automated detection methods and comparison with a digital spectral library. Principal component analysis (PCA) and partial least squares regression (PLSR) were employed to qualitatively and quantitatively examine the collected spectra, allowing for traces of cocaine hydrochloride found within each matrix to be identified and quantified. For each of the solid matrices, Raman spectroscopy enabled rapid, non-invasive, and unambiguous identification of the concealed drug. For the white rum samples, due to strong matrix interference, full spectrum matching was not possible, but presumptive identification of cocaine in the samples was achieved at 100%. No false positives or miss-identified samples were recorded, Results of the PLSR analysis showed potential, however difficulties in obtaining accurate concentrations served to limit the method’s use in quantitative analysis.
Bharill, N, Patel, OP, Tiwari, A, Mu, L, Li, D-L, Mohanty, M, Kaiwartya, O & Prasad, M 2019, 'A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering', IEEE Access, vol. 7, pp. 50347-50361.
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© 2013 IEEE. Data clustering is a challenging task to gain insights into data in various fields. In this paper, an Enhanced Quantum-Inspired Evolutionary Fuzzy C-Means (EQIE-FCM) algorithm is proposed for data clustering. In the EQIE-FCM, quantum computing concept is utilized in combination with the FCM algorithm to improve the clustering process by evolving the clustering parameters. The improvement in the clustering process leads to improvement in the quality of clustering results. To validate the quality of clustering results achieved by the proposed EQIE-FCM approach, its performance is compared with the other quantum-based fuzzy clustering approaches and also with other evolutionary clustering approaches. To evaluate the performance of these approaches, extensive experiments are being carried out on various benchmark datasets and on the protein database that comprises of four superfamilies. The results indicate that the proposed EQIE-FCM approach finds the optimal value of fitness function and the fuzzifier parameter for the reported datasets. In addition to this, the proposed EQIE-FCM approach also finds the optimal number of clusters and more accurate location of initial cluster centers for these benchmark datasets. Thus, it can be regarded as a more efficient approach for data clustering.
Butcher, EV, van Oorschot, RAH, Morgan, RM & Meakin, GE 2019, 'Opportunistic crimes: Evaluation of DNA from regularly-used knives after a brief use by a different person', Forensic Science International: Genetics, vol. 42, pp. 135-140.
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© 2019 Elsevier B.V. When evaluating trace DNA recovered from evidential items in forensic casework, it is crucial to consider how the DNA got there, and such evaluative interpretations should ideally be informed by published experimental data. A key activity-level question is whether the DNA obtained comes from the regular user, the last user (ostensibly the user at the time of the crime) or from indirect transfer events. The aim of this experiment was to provide data to contribute to answering this question, particularly when considering opportunistic crimes, in which an offender might grab the nearest item at hand required for their purpose, e.g. a weapon or tool, and therefore only handle it very briefly. Volunteers (‘regular users’) used knives in a prescribed manner to simulate regular use (one user per knife); DNA recovery by mini-tapes from these knives gave ˜1–10 ng DNA, with <16% non-donor DNA from indirect transfer events. Different volunteers (‘second users’) then stabbed replicate sets of regularly-used knives into a foam block for either 2, 30 or 60 s (on different occasions), with each timeframe in triplicate, and DNA was recovered from the knife handles using mini-tapes. For knives regularly-used by three of the four volunteers, the ratios of regular user to second user DNA were approximately 4:1, 2:1 and 1:1 for durations of use by the second user of 2, 30 and 60 s, respectively. Analysis of the respective quantities of DNA showed that this trend resulted from a decrease in regular user DNA via transfer to the second user's hands, rather than an increase in DNA deposition from the second user. However, for knives regularly-used by the fourth volunteer, DNA from the regular user remained at significantly higher quantities than DNA from the second user and unknown sources, irrespective of duration of use by the second user. Furthermore, one volunteer deposited a similar amount of DNA through regular use as the amount of indirectly-transfe...
Casey, E, Ribaux, O & Roux, C 2019, 'The Kodak Syndrome: Risks and Opportunities Created by Decentralization of Forensic Capabilities', Journal of Forensic Sciences, vol. 64, no. 1, pp. 127-136.
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AbstractForensic science laboratories are being challenged by the expanding decentralization of forensic capabilities, particularly for digital traces. This study recommends laboratories undertake digital transformations to capitalize on the decentralization movement, develop a more comprehensive understanding of crime and security‐relevant problems, and play a more central role in problem‐solving collaboratively with law enforcement organizations and other stakeholders. A framework for the bilateral transfer of information and knowledge is proposed to magnify the impact of forensic science laboratories on abating crime, strengthening security, and reinforcing the criminal justice system. To accomplish digital transformations, laboratories require personnel with different expertise, including investigative reasoning, knowledge codification, data analytics, and forensic intelligence. Ultimately, this study encourages managers, educators, researchers, and policymakers to look beyond the usefulness of forensic results for solving individual investigations, and to realize the value of combined forensic knowledge and intelligence for developing broader strategies to deal with crime in digitalized society.
Chen, C, Pistono, A, Ryan, S, Szkuta, B & Meakin, GE 2019, 'The effect of climatic simulations on DNA persistence on glass, cotton and polyester', Forensic Science International: Genetics Supplement Series, vol. 7, no. 1, pp. 274-276.
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© 2019 Elsevier B.V. It is important to understand the variables impacting DNA persistence when considering the recovery, and evaluative interpretation, of DNA evidence from crime scenes. Whilst it is known that temperature, humidity and UV affect DNA persistence, little research has been conducted to explore these effects in a combined and controlled manner. This study includes two experiments in which a climate chamber was used to simulate climatic conditions over a repeating 24-h period. Aliquots of ∼50 ng DNA were added to each substrate and DNA recovered at 0, 1, 3 and 7 days after deposition. Samples were run in triplicate, extracted and quantified. The first experiment investigated the effect of typical Southern English winter and summer days on DNA persistence on glass and cotton, with DNA being recovered by wet and dry swabs from glass and mini-tapes from cotton. The second experiment investigated the effect of typical Northern Italian winter and summer days on DNA persistence on cotton and polyester, with DNA being recovered by wet and moist swabs from both fabrics. Quantities of DNA on all substrates significantly declined over 7 days under summer conditions (p < 0.05), and more DNA tended to persist on the fabric substrates in both studies under conditions of winter than summer. These results contribute to our understanding of DNA persistence under different climatic conditions and will help inform investigators’ DNA recovery strategies.
Cheung, EYY, Phillips, C, Eduardoff, M, Lareu, MV & McNevin, D 2019, 'Performance of ancestry-informative SNP and microhaplotype markers', Forensic Science International: Genetics, vol. 43, pp. 102141-102141.
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The use of microhaplotypes (MHs) for ancestry inference has added to an increasing number of ancestry-informative markers (AIMs) for forensic application that includes autosomal single nucleotide polymorphisms (SNPs) and insertions/deletions (indels). This study compares bi-allelic and tri-allelic SNPs as well as MH markers for their ability to differentiate African, European, South Asian, East Asian, and American population groups from the 1000 Genomes Phase 3 database. A range of well-established metrics were applied to rank each marker according to the population differentiation potential they measured. These comprised: absolute allele frequency differences (δ); Rosenberg's informativeness for (ancestry) assignment (In); the fixation index (FST); and the effective number of alleles (Ae). A panel consisting of all three marker types resulted in the lowest mean divergence per population per individual (MDPI = 2.16%) when selected by In. However, when marker types were not mixed, MHs were the highest performing markers by most metrics (MDPI < 4%) for differentiation between the five continental populations.
Crispino, F, Roux, C, Delémont, O & Ribaux, O 2019, 'Is the (traditional) Galilean science paradigm well suited to forensic science?', WIREs Forensic Science, vol. 1, no. 6.
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AbstractFor more than 10 years, forensic science has been at best, criticized for its lack of scientific foundations and at worst, presented as an oxymoron. An exclusive focus on standard operating procedures and quality management could cause forensic science to fall short of addressing the epistemological issue initiated by judges. This is particularly so in rapidly changing times, including digital transformation of society and decentralization of forensic services. As a consequence, the present understanding of forensic science by both scientists and its stakeholders is questioned. It is argued that that forensic science fundamental principles and, more broadly, forensic science philosophy are pivotal to the reliable application of science to address security and justice questions.This article is categorized under:Forensic Science in Action/Crime Scene Investigation > Epistemology and MethodJurisprudence and Regulatory Oversight > Communication across Science and LawJurisprudence and Regulatory Oversight > Expert Evidence and Narrative
Fu, S, Stove, C & Elliott, S 2019, 'Editorial: Advances in Analytical Methods for Drugs of Abuse Testing', Frontiers in Chemistry, vol. 7, pp. 589-589.
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Gassner, A-L, Manganelli, M, Werner, D, Rhumorbarbe, D, Maitre, M, Beavis, A, Roux, CP & Weyermann, C 2019, 'Secondary transfer of organic gunshot residues: Empirical data to assist the evaluation of three scenarios', Science & Justice, vol. 59, no. 1, pp. 58-66.
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© 2018 The Chartered Society of Forensic Sciences The present study aimed at providing data to assess the secondary transfer of organic gunshot residues (OGSR). Three scenarios were evaluated in controlled conditions, namely displacing a firearm from point A to point B, a simple handshake and an arrest involving handcuffing on the ground. Specimens were collected from the firearm, the hands of the shooter and the non-shooter undergoing the secondary transfer in order to compare the amounts detected. Secondary transfer was observed for the three scenarios, but to a different extent. It was found that displacing a firearm resulted in secondary transfer in <50% of the experiments. The firearm also had an influence, as contrary to the pistol, no secondary OGSR were detected using the revolver. Shaking the hand of the shooter also transferred OGSR to the non-shooter's hand. In that case, the amount of OGSR was generally higher on the shooter than on the non-shooter. Finally, the largest secondary transfer was observed after the arrest with handcuffing with positive results in all cases using the pistol. In that scenario, the amounts on the shooter and the non-shooter were in the same range. This study highlights that the secondary transfer must be taken into account in the interpretation of OGSR. Indeed, an individual's hands might be contaminated by handling a firearm or having physical contact with a shooter.
Gupta, A, Martinez-Lopez, C, Curran, JM & Almirall, JR 2019, 'Multi-element comparisons of tapes evidence using dimensionality reduction for calculating likelihood ratios', Forensic Science International, vol. 301, pp. 426-434.
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Computing the likelihood ratio (LR), as a measure of weight of evidence, has traditionally been difficult for multi-element evidence. A solution based on multivariate random effects models has been adopted by the forensic community but suffers from instability and has a tendency toward extreme values. This problem is magnified by increasing the number of variables. In this study, we consider reducing the dimensionality of the problem using principal component analysis (PCA) and a post-hoc calibration step suggested by van Es et al. [1] and evaluate the performance of this method using multi-element data collected from electrical tapes with up to 18 elements measured. A set of 90 tapes known to originate from different sources were analyzed by LA-ICP-MS. We used additive log-ratio transformation with respect to the signal of 208Pb to transform the 18-dimensional data. This transformation altered the scale of the signals and more importantly, the transformed signals exhibited characteristics similar to a normal distribution. We used scores of the first five principal components (PCs) as input to the LR formula given by Aitken and Lucy [2] where we assumed multivariate normal between-sources distribution (LR MVN) to compare the tapes. We observed that the calculated LRs were extremely positive and negative and did not conform with the definition of well-calibrated LRs. Thus, we used the post-hoc calibration method given by van Es et al. [1] to calibrate the likelihood ratios. The calibrated LRs were obtained within an appropriate range. Five scenarios, each related to the number of principal components used to compare the samples formed part of this study. The first scenario made the comparisons using only the first PC, the second scenario used the first two PCs together and so on. The last scenario, LR5, used 5 PCs for the comparisons. Comparing the results of these 5 scenarios provided an understanding around sensitivity of the method based on the percen...
Jung, JY, Kang, P-W, Kim, E, Chacon, D, Beck, D & McNevin, D 2019, 'Ancestry informative markers (AIMs) for Korean and other East Asian and South East Asian populations', International Journal of Legal Medicine, vol. 133, no. 6, pp. 1711-1719.
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Inference of ancestry from biological evidence can provide investigative information, especially for unknown DNA donors. Although tools for predicting ancestry have been developing, ancestry research focusing on populations relevant for South Korea is not common and markers are seldom chosen specifically to differentiate Koreans from other East Asian and South East Asian populations. Here, we report ancestry informative markers (AIMs) for distinguishing six East/South East Asian regional populations: China, Japan, Indonesia, Philippines, South Korea and Thailand. Individual genotypes from these six populations were available in PanSNPdb: The HUGO Pan-Asian SNP Database. To select AIMs, we calculated four population divergence metrics for each SNP: Nei's FST, Rosenberg's Informativeness (In), the average absolute allele frequency difference between populations (δFmean) and the maximum allele frequency difference between populations (δFmax). Based on these values, we selected 100 single nucleotide polymorphisms (SNPs) for distinguishing the six populations, 13 of which exhibited large allele frequency differences between Koreans and non-Koreans. To assess the performance of the AIMs, we performed principal coordinates analysis (PCoA) on the individuals from all six populations and inferred ancestral population clusters using the STRUCTURE program. In conclusion, we found that the selected AIMs can be applied to distinguish the six East/South East Asian groups and we suggest the markers in this study will be helpful to establish ancestry panels for Korea and neighbouring populations.
Kanodarwala, FK, Moret, S, Spindler, X, Lennard, C & Roux, C 2019, 'Nanoparticles used for fingermark detection—A comprehensive review', WIREs Forensic Science, vol. 1, no. 5.
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AbstractNanoparticles (NPs) have been used in numerous fields such as medicine, imaging, and electronics to cite just a few. In forensic science, NPs have been researched specifically for the detection of fingermarks. Their small size, surface functionalization ability, and luminescence properties can potentially lead to better resolution, increased sensitivity, and selectivity. This paper offers an extensive review of the various NP types investigated over the past three decades. NPs are sorted into seven categories, namely metal, metal oxide, quantum dots (QDs), carbon dots (C‐dots), silica (SiO2), and upconverters NPs (UCNPs) as well as a miscellaneous section. Each type is discussed in details from a critical viewpoint. The most promising NP types are also identified.This article is categorized under:Forensic Chemistry and Trace Evidence > Fingermarks and Other Marks
Klingberg, J, Cawley, A, Shimmon, R & Fu, S 2019, 'Collision-Induced Dissociation Studies of Synthetic Opioids for Non-targeted Analysis', Frontiers in Chemistry, vol. 7.
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The continual introduction of a large number of new psychoactive substances, along with the large turnover of these substances, necessitates the development of non-targeted detection strategies to keep pace with the ever-changing drug market. The production of certified reference materials often lags behind the introduction of new substances to the market, therefore these detection strategies need to be able to function without relying on reference materials or library spectra. Synthetic opioids have recently emerged as a drug class of particular concern due to the health issues caused by their incredibly high potency. A common method which has been used for non-targeted analysis in the past involves the identification of common product ions formed as a result of the fragmentation of the parent molecule. These common fragments can then potentially be used as markers to indicate the presence of a particular class of compounds within a sample. In this study, standards of a number of different synthetic opioids, including 14 fentanyl derivatives, 7 AH series opioids, 4 U series opioids, 4 W series opioids and MT-45, were subjected to collision-induced dissociation studies to determine how the compounds fragment. The spectra obtained from these studies included a number of diagnostic fragments common to the different opioid classes that, when used in combination, show potential for use as class predictors. By using simple data processing techniques, such as extracted ion chromatograms, these diagnostic product ions identified can be applied to a non-targeted screening workflow.
Knobel, Z, Ueland, M, Nizio, KD, Patel, D & Forbes, SL 2019, 'A comparison of human and pig decomposition rates and odour profiles in an Australian environment', Australian Journal of Forensic Sciences, vol. 51, no. 5, pp. 557-572.
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© 2018, © 2018 Australian Academy of Forensic Sciences. Cadaver-detection dogs are trained to locate victim remains; however, their training is challenging owing to limited access to human remains. Animal analogues, such as pigs, are typically used as alternative training aids. This project aimed to compare the visual decomposition and volatile organic compound (VOC) profile of human and pig remains in an Australian environment, to determine the suitability of pig remains as human odour analogues for cadaver-detection dog training. Four human cadavers and four pig carcasses were placed in an outdoor environment at the Australian Facility for Taphonomic Experimental Research (AFTER) across two seasons. Decomposition was monitored progressively in summer and winter. VOCs were collected onto sorbent tubes and analysed using comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry. Visual observations highlighted the differences in decomposition rates, with pig remains progressing through all stages of decomposition, and human remains undergoing differential decomposition and mummification. Chemical and statistical analysis highlighted variations in the composition and abundance of VOCs over time between the odour profiles. This study concluded that the visual decomposition and VOC profile of pig and human remains was dissimilar. However, in cooler conditions the results from each species became more comparable, especially during the early stages of decomposition.
Lee, PLT, Kanodarwala, FK, Lennard, C, Spindler, X, Spikmans, V, Roux, C & Moret, S 2019, 'Latent fingermark detection using functionalised silicon oxide nanoparticles: Method optimisation and evaluation', Forensic Science International, vol. 298, pp. 372-383.
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© 2019 Elsevier B.V. The application of nanoparticles for latent fingermark detection has been reported in the literature over the past two decades. One of the nanoparticles that shows promise to become a routine technique is functionalised silicon oxide nanoparticles (SiO 2 NPs). In a recent optimisation of the technique, the use of carboxyl-functionalised SiO 2 NPs doped with luminescent ruthenium complex was proposed as a breakthrough for latent fingermark detection. In this study, the aforementioned functionalised SiO 2 NPs were extensively evaluated. Modification and optimisation of the original detection parameters were performed to enhance detection quality and improve applicability. Various detection parameters were evaluated and assessed. A lower concentration of the functionalised nanoparticles used in the colloidal dispersion was determined to offer improved detection effectiveness. A combination of increased bath temperature and reduced immersion time was found to produce good overall results. A set of modified detection parameters was suggested for the use of the functionalised SiO 2 NPs to detect latent fingermarks. Performance of the modified detection parameters was compared against that of the published detection method. Comparison experiments were carried out on fingermark specimens deposited on aluminium foil, transparent polypropylene plastic and green polyethylene plastic. Three donors (weak, average and strong) and two age intervals (ten days and three months) were considered in the comparison study. Evaluation of the results suggested that the overall performance of the modified method for latent fingermark detection was superior to that obtained using the previously published detection parameters.
Li, VWH, Toogood, H, Ryan, S & Meakin, GE 2019, 'The effects of various household cleaning methods on DNA persistence on mugs and knives', Forensic Science International: Genetics Supplement Series, vol. 7, no. 1, pp. 277-278.
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© 2019 Elsevier B.V. With the prevalence of forensic science in popular media, offenders are becoming more forensically aware and can employ precautionary methods, such as cleaning used items or rubbing away fingermarks, to reduce their traces left at a crime scene. This study examined the effects of various cleaning methods on DNA persistence on commonly encountered casework exhibits, specifically knives and mugs. Aliquots of acellular DNA were added to the knife handles or mug rims, allowed to dry, and then the substrates were either sampled directly or were cleaned and then sampled. The plastic- and wood-handled knives were cleaned with a cloth in a sink of water, diluted dish washing liquid or diluted household bleach, whereas the ceramic, glass and steel mugs were cleaned with a dry or wet cloth, or by wiping with a cloth after applying a cleaning product (dish washing liquid or household bleach spray) directly into the mug and then rinsing it with water. DNA samples were collected with wet and dry swabs, in triplicate, and extracted and quantified. In both experiments, DNA was not detected on items after cleaning with dish washing liquid or household bleach, irrespective of the differences in amounts of DNA initially deposited, substrates, and cleaning methods. Even without a cleaning product, rubbing with a dry cloth decreased DNA recovery from the mugs, regardless of the mug substrate. These results contribute to our understanding of the impact of various cleaning methods on DNA recovery at the crime scene and will help inform DNA recovery strategies.
Liu, T, Zhang, W, Ye, L, Ueland, M, Forbes, SL & Su, SW 2019, 'A novel multi-odour identification by electronic nose using non-parametric modelling-based feature extraction and time-series classification', Sensors and Actuators B: Chemical, vol. 298, pp. 126690-126690.
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© 2019 Elsevier B.V. The electronic nose (e-nose) is an olfaction system that consists of an array of chemical sensors and effective machine learning algorithms for the detection of various target odours. Feature extraction and classification methods are of great importance in improving the performance of the e-nose system. In this paper, a novel odour identification method is presented. Firstly, we use the kernel-based system modelling approach to extract odour features. Its solution is a series of finite impulse responses which containing discriminant information of different odours. In addition, a parameter optimisation method based on normalised mean square error and information entropy is proposed to optimise the kernel function. The entropy is effective in preventing the finite impulse responses from overfitting. Multi-odour classification is achieved based on Gaussian mixture density hidden Markov model (GMM-HMM) considering the characteristic of the extracted features. Also, parameter selection for GMM-HMM is realised according to BIC index and cross-validation. Then, we validate the performance of the proposed feature extraction method in resistance to noise and compare it with other existed features. The modelling-based feature reached the highest performance even without applying any filtering or smoothing techniques. Finally, we compare the proposed combination of feature extraction and classification algorithms with other approaches. The proposed method outperformed other approaches reaching 93.56% in sensitivity and 98.71% in specificity. The results demonstrate that the proposed method is applicable in e-nose-based odour identification.
Maitre, M, Chadwick, S, Kirkbride, KP, Gassner, A-L, Weyermann, C, Beavis, A & Roux, C 2019, 'An investigation on the secondary transfer of organic gunshot residues', Science & Justice, vol. 59, no. 3, pp. 248-255.
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Gunshot residues (GSR) are an important forensic trace in firearm-related events. Currently, routine GSR analyses focus on the detection and characterisation of the inorganic components (IGSR). The increasing prevalence of heavy metal-free ammunition challenges these current protocols and there is an increasing interest in how the organic components of GSR (OGSR) can provide complementary information. Similar to the situation with IGSR, OGSR compounds originally deposited on the shooter during the firing process may further be transferred onto another individual or surface. Hence, the aim of this study was to provide additional information regarding the risk of a secondary transfer of OGSR. Two scenarios were investigated, the first one related to the arrest process and the possibilities of a secondary transfer arising between a shooter onto a non-shooter (e.g. between a police officer and a person of interest (POI)). The second scenario concerned the transfer of OGSR onto the non-shooter after handling a firearm for few minutes without discharging it. One calibre was chosen, the .40 S&W calibre, used by several Australian State police forces. A secondary transfer was observed in all cases for the two scenarios investigated, for three compounds of interest: ethylcentralite (EC), diphenylamine (DPA), N-nitrosodiphenylamine (N-nDPA). The firearm handling scenario resulted in a larger secondary transfer to that of the arrest scenario. Overall, the amounts of OGSR detected on the non-shooter were generally lower than that detected on the shooter and controls after the arrest scenario. The results of this study provide complementary knowledge about OGSR, which can be further used to improve the current practice and the interpretation of OGSR evidence. In particular, it highlights that the secondary transfer proposition must be considered during the interpretation of forensic findings, especially when small amounts of OGSR target compounds are detected.
McNevin, D 2019, 'Response to: Biedermann & Hicks (2019), Commentary on “Dennis McNevin, Bayesian interpretation of discrete class characteristics, Forensic Science International, 292 (2018) 125–130”', Forensic Science International, vol. 298, pp. e1-e2.
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McNevin, D, Wright, K, Chaseling, J & Barash, M 2019, 'Commentary on: Bright et al. (2018) Internal validation of STRmix™ – a multi laboratory response to PCAST, Forensic Science International: Genetics, 34: 11–24', Forensic Science International: Genetics, vol. 41, pp. e14-e17.
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Mohd Yusop, AY, Xiao, L & Fu, S 2019, 'Data on the optimisation and validation of a liquid chromatography-high-resolution mass spectrometry (LC-HRMS) to establish the presence of phosphodiesterase 5 (PDE5) inhibitors in instant coffee premixes', Data in Brief, vol. 25, pp. 104234-104234.
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This paper presents the data on the optimisation and validation of a liquid chromatography-high-resolution mass spectrometry (LC-HRMS) to establish the presence of phosphodiesterase 5 (PDE5) inhibitors and their analogues as adulterants in instant coffee premixes. The method development data covered chromatographic optimisation for better analyte separation and isomeric resolution, mass spectrometry optimisation for high sensitivity and sample preparation optimisation for high extraction recovery (RE) and low matrix effect (ME). The validation data covered specificity, linearity, range, accuracy, limit of detection, limit of quantification, precisions, ME, and RE. The optimisation and validation data presented here is related to the article: "Determination of phosphodiesterase 5 (PDE5) inhibitors in instant coffee premixes using liquid chromatography-high-resolution mass spectrometry (LC-HRMS)" Mohd Yusop et al., 2019.
Mohd Yusop, AY, Xiao, L & Fu, S 2019, 'Determination of phosphodiesterase 5 (PDE5) inhibitors in instant coffee premixes using liquid chromatography-high-resolution mass spectrometry (LC-HRMS)', Talanta, vol. 204, pp. 36-43.
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As a widely consumed beverage, coffee tends to be a target for intentional adulteration. This study describes the application of modified quick, easy, cheap, effective, rugged, and safe (QuEChERS) coupled to liquid chromatography-high-resolution mass spectrometry (LC-HRMS) for simultaneous screening, identification, and quantification of undeclared phosphodiesterase 5 (PDE5) inhibitors in instant coffee premixes (ICPs). The mass spectrometer was operated in auto MS/MS acquisition for simultaneous MS and MS/MS experiments. Qualitative establishments from the suspected-target screening and targeted identification processes led to an unambiguous analyte assignment from the protonated molecule ([M+H]+) precursor ion which is subsequently used for quantification of 23 targeted PDE5 inhibitors. The analytical method validation covered specificity, linearity, range, accuracy, limit of detection (LOD), limit of quantification (LOQ), precisions, matrix effect (ME), and extraction recovery (RE). The specificity was established using the optimised chromatographic separation as well as the distinguishable [M+H]+ precursor ion. The linearity of each target analyte was demonstrated with a coefficient of determination (r2) of >0.9960 over the expected range of sample concentrations. The accuracy ranged from 88.1%–119.3% with LOD and LOQ of <70 ng/mL and 80 ng/mL, respectively. Excellent precisions were established within 0.4%–9.1% of the relative standard deviation. An insignificant ME within −5.2% to +8.7% was achieved using three different strategies of chromatography, sample extraction, and sample dilution. The RE was good for all target analytes within 84.7%–123.5% except for N-desethylacetildenafil at low (53.8%) and medium (65.1%) quality control levels. The method was successfully applied to 25 samples of ICPs where 17 of them were found to be adulterated with PDE5 inhibitors and their analogues. Further quantification revealed the total amount of these adulterants range...
Moret, S, Lee, PLT, de la Hunty, M, Spindler, X, Lennard, C & Roux, C 2019, 'Single metal deposition versus physical developer: A comparison between two advanced fingermark detection techniques', Forensic Science International, vol. 294, pp. 103-112.
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© 2018 Elsevier B.V. Single metal deposition (SMD II) is a fingermark detection technique based on the use of colloidal gold. The technique has been simplified and optimised over the years to become more reliable, sensitive and user-friendly. Physical developer (PD) is a well-established detection method based on silver deposition from a redox solution. This study presents an extensive comparison of SMD II against PD for fingermark detection on porous substrates. The two techniques were compared as (i) standalone methods, (ii) in sequence after the application of routine amino acids reagents (1,2-indanedione/zinc followed by ninhydrin), and (iii) after the substrates have been wet. More than 1000 fingermark specimens were processed. Overall, the performance of SMD II was judged to be inferior to that of PD; therefore, SMD II cannot be recommended as a valid replacement for fingermark detection on porous substrates. Indanedione/zinc and ninhydrin application negatively impacts on SMD II performance and the technique gave inconsistent results across the selected range of porous substrates. Moreover, the detected fingermarks lacked contrast making their visualisation difficult. However, even if PD remains the technique of choice, SMD II showed significant potential. It proved to be less affected by donor variability and it can be applied on both porous and non-porous substrates. It did not lead to uncontrolled background staining that commonly occurs with PD. If contrast and consistency issues can be addressed in future research, SMD II may become a viable alternative to PD.
Phillips, C, McNevin, D, Kidd, KK, Lagacé, R, Wootton, S, de la Puente, M, Freire-Aradas, A, Mosquera-Miguel, A, Eduardoff, M, Gross, T, Dagostino, L, Power, D, Olson, S, Hashiyada, M, Oz, C, Parson, W, Schneider, PM, Lareu, MV & Daniel, R 2019, 'MAPlex - A massively parallel sequencing ancestry analysis multiplex for Asia-Pacific populations', Forensic Science International: Genetics, vol. 42, pp. 213-226.
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Current forensic ancestry-informative panels are limited in their ability to differentiate populations in the Asia-Pacific region. MAPlex (Multiplex for the Asia-Pacific), a massively parallel sequencing (MPS) assay, was developed to improve differentiation of East Asian, South Asian and Near Oceanian populations found in the extensive cross-continental Asian region that shows complex patterns of admixture at its margins. This study reports the development of MAPlex; the selection of SNPs in combination with microhaplotype markers; assay design considerations for reducing the lengths of microhaplotypes while preserving their ancestry-informativeness; adoption of new population-informative multiple-allele SNPs; compilation of South Asian-informative SNPs suitable for forensic AIMs panels; and the compilation of extensive reference and test population genotypes from online whole-genome-sequence data for MAPlex markers. STRUCTURE genetic clustering software was used to gauge the ability of MAPlex to differentiate a broad set of populations from South and East Asia, the West Pacific regions of Near Oceania, as well as the other globally distributed population groups. Preliminary assessment of MAPlex indicates enhanced South Asian differentiation with increased divergence between West Eurasian, South Asian and East Asian populations, compared to previous forensic SNP panels of comparable scale. In addition, MAPlex shows efficient differentiation of Middle Eastern individuals from Europeans. MAPlex is the first forensic AIM assay to combine binary and multiple-allele SNPs with microhaplotypes, adding the potential to detect and analyze mixed source forensic DNA.
Popovic, A, Morelato, M, Roux, C & Beavis, A 2019, 'Review of the most common chemometric techniques in illicit drug profiling', Forensic Science International, vol. 302, pp. 109911-109911.
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© 2019 Elsevier B.V. The information generated through drug profiling can be used to infer a common source between one or several seizures as well as drug trafficking routes to provide insights into drug markets. Although well established, it is time-consuming and ineffective to compare all drug profiles manually. In recent years, there has been a push to automate processes to enable a more efficient comparison of illicit drug specimens. Various chemometric methods have been employed to compare and interpret forensic case data promptly. The intelligence that is produced can be used by decision-makers to disrupt or reduce the impact of illicit drug markets. This review highlights the most common chemometric techniques used in drug profiling and more specifically, the most efficient comparison metrics and pattern recognition techniques outlined in the literature.
Rhumorbarbe, D, Morelato, M, Staehli, L, Roux, C, Jaquet-Chiffelle, D-O, Rossy, Q & Esseiva, P 2019, 'Monitoring new psychoactive substances: Exploring the contribution of an online discussion forum', International Journal of Drug Policy, vol. 73, pp. 273-280.
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© 2019 Elsevier B.V. Background: The rapid emergence of new psychoactive substances (NPS) is a challenge for public health authorities and law enforcement. The phenomenon is strengthened since the increase of the Internet usage. Not only used to trade NPS, the Web is an important source of information for both potential drug consumers and experienced users. Discussion forums are among these sources of information. They are meeting points for different groups of users and include a wide range of trip reports, questions and consumption tips. Since the discussions are archived over a long period, they can be used to monitor the interest of consumers for particular substances over time. This research aims at understanding the contribution of data extracted from a major online discussion forum within a systematic monitoring process. Method: Data were collected from a discussion forum (i.e. Drugs-forum). Within the sections of the forum, the titles, content of discussion, number of replies, and the date of the first discussion were crawled and stored in a dedicated database. The intensity of the discussions related to 42 substances considered as NPS was measured through an indicator allowing to assess the popularity of substances. Furthermore, the appearance of 15 substances on the forum was compared to the date of formal notification to the EU early warning system. Results: An evolution of the different classes of substances, as well as an evolution of specific substances within a class were highlighted. Some substances were discussed for a long period of time (e.g. Kratom, 25i-NBOMe, MDPV) while others were discussed very briefly (e.g. 5-MeO-DPT, NM-2AI). Out of the fifteen substances subjected to a risk assessment from the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA), nine of them appeared on the forum before or at the same time as their first date of notification to the EU early warning system. Conclusion: In line with previous researc...
Roux, C & Linacre, A 2019, 'Major international forensic science conference to reward Australian and New Zealand cutting-edge research', Australian Journal of Forensic Sciences, vol. 51, no. 6, pp. 609-610.
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Scudder, N, McNevin, D, Kelty, SF, Funk, C, Walsh, SJ & Robertson, J 2019, 'Policy and regulatory implications of the new frontier of forensic genomics: direct-to-consumer genetic data and genealogy records', Current Issues in Criminal Justice, vol. 31, no. 2, pp. 194-216.
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Scudder, N, Robertson, J, Kelty, SF, Walsh, SJ & McNevin, D 2019, 'A law enforcement intelligence framework for use in predictive DNA phenotyping', Australian Journal of Forensic Sciences, vol. 51, no. sup1, pp. S255-S258.
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Scudder, N, Robertson, J, Kelty, SF, Walsh, SJ & McNevin, D 2019, 'An international consideration of a standards-based approach to forensic genetic genealogy', Forensic Science International: Genetics Supplement Series, vol. 7, no. 1, pp. 512-514.
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© 2019 Elsevier B.V. Forensic genetic genealogy has moved into limited operational use in the United States, and received international attention following the arrest of a suspect alleged to be the notorious ‘Golden State Killer’. The interest in this emerging area has seen the development of online courses to train investigators to pursue forensic genetic genealogy leads and the emergence of service providers marketing directly to law enforcement. Forensic genetic genealogy is an intelligence capability and can draw on existing intelligence doctrine. The power of genetic genealogy requires consideration of relevant standards, national or international. The development of these standards requires close consideration of public trust and privacy issues, including the application of the General Data Protection Regulation in Europe and constitutional issues in countries such as the United States. It also requires a consideration of potential regulatory mechanisms and options.
Seckiner, D, Mallett, X, Maynard, P, Meuwly, D & Roux, C 2019, 'Forensic gait analysis — Morphometric assessment from surveillance footage', Forensic Science International, vol. 296, pp. 57-66.
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Following the technological rise of surveillance cameras and their subsequent proliferation in public places, the use of information gathered by such means for investigative and evaluative purposes sparked a large interest in the forensic community and within policing scenarios. In particular, it is suggested that analysis of the body, especially the assessment of gait characteristics, can provide useful information to aid the investigation. This paper discusses the influences upon gait to mitigate some of the limitations of surveillance footage, including those due to the varying anatomical differences between individuals. Furthermore, the differences between various techniques applied to assess gait are discussed, including biometric gait recognition, forensic gait analysis, tracking technology, and marker technology. This review article discusses the limitations of the current methods for assessment of gait; exposing gaps within the literature in regard to various influences impacting upon the gait cycle. Furthermore, it suggests a 'morphometric' technique to enhance the available procedures to potentially facilitate the development of standardised protocols with supporting statistics and database. This in turn will provide meaningful information to forensic investigation, intelligence-gathering processes, and potentially as an additional method of forensic evaluation of evidence.
Steiner, R, Roux, C & Moret, S 2019, 'Controlling fingermark variability for research purposes: A review', WIREs Forensic Science, vol. 1, no. 4, pp. e1338-e1338.
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AbstractFingermark detection is a very active field of research in forensic science, with many different strategies currently investigated to always improve detection rate. However, each new technique has first to be optimized, assessed and validated with many fingermarks from multiple donors across a wide variety of substrates before being included into laboratories operating procedures. This process often requires the collaboration of research groups and operational laboratories from different countries, and it takes several years for a new method to be applied routinely in casework. One particular challenge that makes the process from R&D to operations complicated is the significant intrinsic within‐ and between‐source variability of fingermarks. Many studies partially addressing fingermark variability have been reported but a comprehensive approach to the problem is yet to be found. This review describes the factors of fingermark variability and provides an extensive overview of various strategies implemented to control it. The use of artificial fingermarks or simulants, containing some of the most abundant compounds found in fingermark residue has been investigated by some research teams. However, most of these formulations are too simplistic and can only be used to assess a restrictive number of detection techniques, such as amino acid reagents. Practical applications of artificial fingermarks such as test strips and proficiency testing are reviewed. The advantage and challenges of using artificial fingermarks in the first stages of fingermark detection research are presented.This article is categorized under:Forensic Chemistry and Trace Evidence > Fingermarks and Other Marks
Summerell, AE, Frankham, GJ, Gunn, P & Johnson, RN 2019, 'DNA based method for determining source country of the short beaked echidna (Tachyglossus aculeatus) in the illegal wildlife trade', Forensic Science International, vol. 295, pp. 46-53.
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© 2018 The Authors The illegal trade in wild animals being sold as ‘captive bred’ is an emerging issue in the pet and zoo industry and has both animal welfare and conservation implications. DNA based methods can be a quick, inexpensive, and definitive way to determine the source of these animals, thereby assisting efforts to combat this trade. The short beaked echidna (Tachyglossus aculeatus) is currently one of the species suspected to be targeted in this trade. As this species is distributed throughout Australia and in New Guinea (currently comprising of five recognised sub-species), this project aimed to develop a DNA based method to definitively determine the source country of an echidna and explore the use of non-invasive sampling techniques. Here we use non-invasively sampled echidna quills and demonstrate the extraction of mitochondrial DNA and amplification of a region of the mitochondrial genome. Phylogenetically informative markers for analysis of a 322 bp segment of the D-loop region were developed, and subsequently validated, using animals with known source locations allowing us to reliably distinguish between echidnas from New Guinea, and Australia. This research presents the first validated forensic protocols for short beaked echidnas and will be an integral tool in understanding the movement of animals in this emerging trade.
Tang, V, Fu, S, Rayner, BS & Hawkins, CL 2019, '8-Chloroadenosine induces apoptosis in human coronary artery endothelial cells through the activation of the unfolded protein response', Redox Biology, vol. 26, pp. 101274-101274.
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Infiltration of leukocytes within the vessel at sites of inflammation and the subsequent generation of myeloperoxidase-derived oxidants, including hypochlorous acid, are key characteristics of atherosclerosis. Hypochlorous acid is a potent oxidant that reacts readily with most biological molecules, including DNA and RNA. This results in nucleic acid modification and the formation of different chlorinated products. These products have been used as biomarkers of inflammation, owing to their presence in elevated amounts in different inflammatory fluids and diseased tissue, including atherosclerotic lesions. However, it is not clear whether these materials are simply biomarkers, or could also play a role in the development of chronic inflammatory pathologies. In this study, we examined the reactivity of different chlorinated nucleosides with human coronary artery endothelial cells (HCAEC). Evidence was obtained for the incorporation of each chlorinated nucleoside into the cellular RNA or DNA. However, only 8-chloro-adenosine (8ClA) had a significant effect on the cell viability and metabolic activity. Exposure of HCAEC to 8ClA decreased glycolysis, and resulted in a reduction in ATP, with a corresponding increase in the chlorinated analogue, 8Cl-ATP in the nucleotide pool. 8ClA also induced sustained endoplasmic reticulum stress within the HCAEC, which resulted in activation of the unfolded protein response, the altered expression of antioxidant genes and culminated in the release of calcium into the cytosol and cell death by apoptosis. Taken together, these data provide new insight into pathways by which myeloperoxidase activity and resultant hypochlorous acid generation could promote endothelial cell damage during chronic inflammation, which could be relevant to the progression of atherosclerosis.
Taranto, V, Ueland, M, Forbes, SL & Blanes, L 2019, 'The analysis of nitrate explosive vapour samples using Lab-on-a-chip instrumentation', Journal of Chromatography A, vol. 1602, pp. 467-473.
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The detection and analysis of explosives and explosive-related compounds is a heightened priority in recent years for homeland security and counter-terrorism applications. This study aimed to evaluate the use of a commercial Lab-On-a-Chip (LOC) instrument for the analysis of explosive vapours, with the long-term goal of developing a portable instrument for passively detecting explosives in air samples. A simple method to collect explosive vapour residues was developed using a glass vial containing varying amounts of the target explosives (1 mg/mL). Standards were diluted to the desired concentration in 150 μL of acetone to facilitate the evaporation. The top of the vial was covered with a circular 0.5 cm diameter filter paper and exposed to a range of temperatures from 22 °C to 80 °C for 15 min. Following evaporation, the filter paper chads were folded and inserted into the LOC wells containing the separation buffer for the analysis, avoiding any further extraction step. After successfully separating and detecting eight explosives via liquid analysis, three explosives were chosen as targets for the vapour analysis experiments. 1,3,5-Trinitrobenzene (TNB), 2,4,6-Trinitrotoluene (TNT), and 2,4,6-Trinitrophenylmethylnitramine (Tetryl) were successfully separated, detected and identified following the vapour extraction of explosive standards onto filter paper chads. Limits of detection for the liquid analysis were demonstrated to be 2.32 ng for TNB, 2.35 ng for Tetryl, and 3.25 ng for TNT. The minimum detectable mass found for the vapour analysis was 6.03 for TNB, 9.99 ng for TNT, and 14.22 ng for Tetryl. The average recovery from the paper chads was 29% for Tetryl, 47% for TNB, and 75% for TNT (n = 4), comparable with findings from previous studies. Results show that a minimum temperature of 40 °C is necessary to vaporize the compounds using acetone, while the best results were achieved when heating the vial to 80 °C. The use of a filter paper to collect the explosi...
Ueland, M, Forbes, SL & Stuart, BH 2019, 'Understanding clothed buried remains: the analysis of decomposition fluids and their influence on clothing in model burial environments', Forensic Science, Medicine and Pathology, vol. 15, no. 1, pp. 3-12.
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Previous studies of fabric degradation have shown promising results for post-mortem interval estimations based on differences in the degradation states of clothing in the presence of decomposing remains. It is crucial to determine if a body was present when using the degradation state as an indicator of time since death. For this study, fabric samples from buried pig remains were collected and analyzed using attenuated total reflectance Fourier transform infrared spectroscopy and chromatography- mass spectrometry. Three different fabrics were investigated; 100% cotton, 100% polyester and a polyester-cotton blend. Distinct visual changes were observed between the experimental and control graves, with the fabrics in the control grave degrading more rapidly. There was also a difference between the fabric types, whereby the natural fabrics degraded much faster than the synthetic ones. Principal component analysis was used to determine that the cotton control samples could be statistically separated based on their degradation state. The presence of lipids and proteins were useful for separating "wetter" graves from those drier in nature as well as the control graves. Clothing evidence was demonstrated to provide quantitative time since death information, as well as indicating the decomposition site in the event of intentional or unintentional movement.
van Oorschot, RAH, Szkuta, B, Meakin, GE, Kokshoorn, B & Goray, M 2019, 'DNA transfer in forensic science: A review', Forensic Science International: Genetics, vol. 38, pp. 140-166.
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© 2018 Elsevier B.V. Understanding the variables impacting DNA transfer, persistence, prevalence and recovery (DNA-TPPR) has become increasingly relevant in investigations of criminal activities to provide opinion on how the DNA of a person of interest became present within the sample collected. This review considers our current knowledge regarding DNA-TPPR to assist casework investigations of criminal activities. There is a growing amount of information available on DNA-TPPR to inform the relative probabilities of the evidence given alternative scenarios relating to the presence or absence of DNA from a specific person in a collected sample of interest. This information should be used where relevant. However, far more research is still required to better understand the variables impacting DNA-TPPR and to generate more accurate probability estimates of generating particular types of profiles in more casework relevant situations. This review explores means of achieving this. It also notes the need for all those interacting with an item of interest to have an awareness of DNA transfer possibilities post criminal activity, to limit the risk of contamination or loss of DNA. Appropriately trained forensic practitioners are best placed to provide opinion and guidance on the interpretation of profiles at the activity level. However, those requested to provide expert opinion on DNA-related activity level issues are often insufficiently trained to do so. We advocate recognition of DNA activity associated expertise to be distinct from expertise associated with the identification of individuals. This is to be supported by dedicated training, competency testing, authorisation, and regular fit for purpose proficiency testing. The possibilities for experts to report on activity-related issues will increase as our knowledge increases through further research, access to relevant data is enhanced, and tools to assist interpretations are better exploited. Improvement opp...
Ward, J, Johnson, RN & Wilson-Wilde, L 2019, 'Gender equity: how do the forensic sciences fare?', Australian Journal of Forensic Sciences, vol. 51, no. sup1, pp. S263-S267.
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© 2019, © Crown Copyright in the Commonwealth of Australia 2019. NSW Health Pathology. Females are underrepresented in science, technology, engineering and mathematics (STEM) at all levels of society. Fewer females are completing STEM school subjects, graduating with STEM degrees, being employed as STEM professionals, and holding senior leadership and academic positions in STEM. However, unlike almost every other STEM discipline, the overall ratio of females is higher in many forensic science disciplines. For our sector, rather than having difficulty in attracting females, the bigger issue is how we retain and promote female talent. This complex issue is exacerbated by: gender pay gaps; family role expectations; lack of visible role models or mentors; discrimination and harassment; and bias during recruitment and promotion practices. We discuss barriers relevant for women in the forensic industry and offer potential solutions. These include flexible work arrangements, sponsorship programmes, and fostering and practising an inclusive workplace culture. Gender equity programmes and exemplar STEM organizations focused on a commitment to gender parity will be explored. Harnessing untapped female talent is as much a social justice issue as employing best practices for improving the quality, diversity and output of our forensic science workforce, and research and innovation strategies.
Watherston, J, Bruce, D, Ward, J, Gahan, ME & McNevin, D 2019, 'Automating direct-to-PCR for disaster victim identification', Australian Journal of Forensic Sciences, vol. 51, no. sup1, pp. S39-S43.
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© 2019, © 2019 Australian Academy of Forensic Sciences. Direct-to-PCR methodology adds samples directly to PCR tubes offering gains in efficiency and sensitivity. The approach has been applied to a variety of biological sources including blood, saliva, tissue, hair and nail. We added various preservative solutions to a range of biological samples to leech DNA into solution, whilst preserving at room temperature. Tubes containing ‘free DNA’ then followed automated workflows for amplification and capillary electrophoresis. Routine FASS-automated workflows (including DNA extraction and quantification) were compared with published direct-to-PCR methodology and automated amplification of an aliquot of preservative solution. Applying preservative solutions to ~30-year-old blood stains stored at room temperature resulted in recovery of a larger quantity of DNA and more alleles (using PowerPlex 21) when compared with routine automated typing. Trials were extended to blood, saliva, hair and nail, mimicking ante-mortem samples collected in a disaster victim identification effort. Despite slightly lower allelic recovery, the faster processing times, lower costs and storage potential offers advantages for the processing of ante-mortem samples.
Xing, J, Adnan, A, Rakha, A, Kasim, K, Noor, A, Xuan, J, Zhang, X, Yao, J, McNevin, D & Wang, B 2019, 'Genetic analysis of 12 X-STRs for forensic purposes in Liaoning Manchu population from China', Gene, vol. 683, pp. 153-158.
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X-chromosomal short tandem repeats (X-STRs) have been widely used in forensic practice involving complicated cases of kinship and also play an increasingly important role in population genetics. X-STRs have been studied in regional populations of China but there is a lack of data for the Manchu population. In this study, we have investigated the forensic genetic properties of 12 X-STRs in the Investigator Argus X-12 Kit (QIAGEN, Hilden, Germany) in 772 Manchu (male = 514, female = 258) individuals from the Xiuyan and Huanren Manchu autonomous counties of Liaoning province. We observed a total of 166 alleles at 12 X-STR loci with allele frequencies ranging from 0.001295to 0.615285. The most polymorphic locus was DXS10135 with 24 alleles while DXS7423 was the least polymorphic locus with 5 alleles. We found significant linkage disequilibrium (LD) between the following pairs of markers for males: DXS10103/DXS10101, DXS10135/DXS10146, DXS10101/DXS10148, DXS10135/DXS10148, DXS7423/DXS10148 and DXS10079/DXS10148. For females, LD was only observed for DXS10103/DXS10101. The combined power of discrimination was 0.9999999979699 for males and 0.999999999999998 for females. The numbers of observed haplotypes in Manchu males were 310, 172, 182 and 172 in four linkage groups; LG1, LG2, LG3 and LG4, respectively, however, these linkage groups did not form stable haplotypes as indicated by linkage equilibrium (LE) of STRs within the groups and significant LD between the groups. This study represents an extensive report on X-STR marker variation in the Manchu population for forensic applications and population genetic studies.
Zhang, W, Liu, T, Ye, L, Ueland, M, Forbes, SL & Su, SW 2019, 'A novel data pre-processing method for odour detection and identification system', Sensors and Actuators A: Physical, vol. 287, pp. 113-120.
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© 2018 Elsevier B.V. This paper presents a novel electronic nose (E-nose) data pre-processing method, based on a recently developed non-parametric kernel-based modelling (KBM) approach. The proposed method is tested by an automated odour detection and classification system, named “NOS.E” developed by the NOS.E team in University of Technology Sydney. Experimental results show that when extracting the derivative-related features from signals collected by the NOS.E, the proposed non-parametric KBM odour data pre-processing method achieves more reliable and stable pre-processing results comparing with other pre-processing methods such as wavelet package correlation filter (WPCF), mean filter (MF), polynomial curve fitting (PCF) and locally weighted regression (LWR). Based on these derivative-related features, the NOS.E can achieve a 96.23% accuracy of classification with the popular Support Vector Machine (SVM) classifier.
