Review of the most common chemometric techniques in illicit drug profiling.
暂无分享,去创建一个
Claude Roux | Alison Beavis | Marie Morelato | Ana Popovic | C. Roux | M. Morelato | A. Beavis | A. Popovic
[1] Sueshige Seta,et al. Analysis of inorganic impurities in seized methamphetamine samples , 1994 .
[2] Johanna Smeyers-Verbeke,et al. Handbook of Chemometrics and Qualimetrics: Part A , 1997 .
[3] Zhendong Hua,et al. Profiling of illicit cocaine seized in China by ICP-MS analysis of inorganic elements. , 2017, Forensic science international.
[4] Age K. Smilde,et al. UvA-DARE ( Digital Academic Repository ) Assessment of PLSDA cross validation , 2008 .
[5] I. Lurie,et al. Use of dynamically coated capillaries for the determination of heroin, basic impurities and adulterants with capillary electrophoresis. , 2004, Journal of chromatography. A.
[6] Laurence Dujourdy,et al. A quick and automated method for profiling heroin samples for tactical intelligence purposes. , 2007, Forensic science international.
[7] Julian Broséus,et al. Chemical profiling: A tool to decipher the structure and organisation of illicit drug markets: An 8-year study in Western Switzerland. , 2016, Forensic science international.
[8] James Robertson,et al. Illicit drug profiling: the Australian experience , 2007 .
[9] Hiroyuki Inoue,et al. Methamphetamine impurity profiling using a 0.32 mm i.d. nonpolar capillary column. , 2003, Forensic science international.
[10] Verweij Am. Impurities in Illicit Drug Preparations: Amphetamine and Methamphetamine. , 1989 .
[11] Ettore Novellino,et al. Use of NMR in profiling of cocaine seizures. , 2013, Forensic science international.
[12] Michalis Vazirgiannis,et al. c ○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. On Clustering Validation Techniques , 2022 .
[13] Guan Huat Tan,et al. Chemometric procedures for analyzing trace organic impurities present in street doses of heroin via a constant weight approach , 2012 .
[14] Randall D. Tobias,et al. Chemometrics: A Practical Guide , 1998, Technometrics.
[15] David Bright,et al. Illuminating dark networks: a social network analysis of an Australian drug trafficking syndicate , 2012 .
[16] Laura Aalberg,et al. Drug intelligence based on MDMA tablets data: 2. Physical characteristics profiling. , 2008, Forensic science international.
[17] Laurence Dujourdy,et al. Development of a harmonised method for the profiling of amphetamines VI: Evaluation of methods for comparison of amphetamine. , 2007, Forensic science international.
[18] Michael D Cole,et al. Development of a harmonised method for the profiling of amphetamines: III. Development of the gas chromatographic method. , 2007, Forensic science international.
[19] Grard Govaert. Data Analysis , 2009 .
[20] Pierre Esseiva,et al. Different likelihood ratio approaches to evaluate the strength of evidence of MDMA tablet comparisons. , 2009, Forensic science international.
[21] Charu C. Aggarwal,et al. Data Clustering , 2013 .
[22] Mikhail F. Kanevski,et al. Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms , 2006, ESANN.
[23] Palle Villesen,et al. Variation in chemical profiles within large seizures of cocaine bricks. , 2017, Forensic science international.
[24] Michael D Cole,et al. Development of a harmonised method for the profiling of amphetamines: IV. Optimisation of sample preparation. , 2007, Forensic science international.
[25] Takako Inoue,et al. Impurity Profiling Analysis of Illicit Methamphetamine by Capillary Gas Chromatography , 1994 .
[26] M D Cole,et al. Development of a predictive model for batch membership of street samples of heroin. , 1999, Forensic science international.
[27] F Besacier,et al. Comparative chemical analyses of drug samples: general approach and application to heroin. , 1997, Forensic science international.
[28] James R. Ehleringer,et al. Tracing the geographical origin of cocaine , 2000, Nature.
[29] Laura Aalberg,et al. Development of a harmonised method for the profiling of amphetamines V: Determination of the variability of the optimised method. , 2007, Forensic science international.
[30] Niamh Nicdaéid,et al. Elemental profiling using ICPMS of methylamphetamine hydrochloride prepared from proprietary medication using the Moscow and hypophosphorous synthesis. , 2013, Science & justice : journal of the Forensic Science Society.
[31] R. Cattell. The Scree Test For The Number Of Factors. , 1966, Multivariate behavioral research.
[32] John F. Casale,et al. A Chromatographic Impurity Signature Profile Analysis for Cocaine Using Capillary Gas Chromatography , 1991 .
[33] C S Jonson,et al. Computer aided retrieval of common-batch members in Leuckart amphetamine profiling. , 1993, Journal of forensic sciences.
[34] P Hayoz,et al. Establishment of an operational system for drug profiling: a Swiss experience. , 2005, Bulletin on narcotics.
[35] M. J. Adams,et al. Chemometrics in Analytical Spectroscopy , 1995 .
[36] Claude Roux,et al. The use of methylamphetamine chemical profiling in an intelligence-led perspective and the observation of inhomogeneity within seizures. , 2015, Forensic science international.
[37] Yuchun Lee,et al. Handwritten Digit Recognition Using K Nearest-Neighbor, Radial-Basis Function, and Backpropagation Neural Networks , 1991, Neural Computation.
[38] Claude Roux,et al. Physical evidence in drug intelligence Part 3: supercritical fluid extraction–high performance liquid chromatography of packaging tapes , 2009 .
[39] Laurence Dujourdy,et al. Headspace profiling of cocaine samples for intelligence purposes. , 2008, Forensic science international.
[40] M. Barker,et al. Partial least squares for discrimination , 2003 .
[41] Merete Grung,et al. Estimation of cocaine consumption in the community: a critical comparison of the results from three complimentary techniques , 2012, BMJ Open.
[42] J F Casale,et al. A computerized neural network method for pattern recognition of cocaine signatures. , 1993, Journal of forensic sciences.
[43] Helmut Neumann. Comparison of heroin by capillary gas chromatography in Germany , 1994 .
[44] R. J. Wells,et al. Preliminary investigation of heroin fingerprinting using trace element concentrations , 1998 .
[45] Claude Roux,et al. The use of organic and inorganic impurities found in MDMA police seizures in a drug intelligence perspective. , 2014, Science & justice : journal of the Forensic Science Society.
[46] James Robertson,et al. Chemical Profiling of Heroin Recovered from the North Korean Merchant Vessel Pong Su , 2006, Journal of forensic sciences.
[47] David R Morello,et al. Qualitative and Quantitative Determination of Residual Solvents in Illicit Cocaine HCl and Heroin HCl , 1995 .
[48] C. Kingston,et al. Neural networks in forensic science. , 1992, Journal of forensic sciences.
[49] Julian Broséus,et al. Buying drugs on a Darknet market: A better deal? Studying the online illicit drug market through the analysis of digital, physical and chemical data. , 2016, Forensic science international.
[50] Michael Collins,et al. Illicit drug profiling: the Australian experience – revisited , 2017 .
[51] Pierre Esseiva,et al. Illicit drug profiling, reflection on statistical comparisons. , 2011, Forensic science international.
[52] K. Pearson. Contributions to the Mathematical Theory of Evolution , 1894 .
[53] Maria Monfreda,et al. Fast profiling of cocaine seizures by FTIR spectroscopy and GC-MS analysis of minor alkaloids and residual solvents. , 2015, Science & justice : journal of the Forensic Science Society.
[54] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[55] Palle Villesen,et al. Cocaine classification using alkaloid and residual solvent profiling. , 2016, Forensic science international.
[56] Agnieszka Martyna,et al. Statistical Analysis in Forensic Science: Evidential Value of Multivariate Physicochemical Data , 2014 .
[57] S Lociciro,et al. Cocaine profiling for strategic intelligence, a cross-border project between France and Switzerland: part II. Validation of the statistical methodology for the profiling of cocaine. , 2008, Forensic Science International.
[58] H Huizer,et al. Residual solvents in methylenedioxymethamphetamine tablets as a source of strategic information and as a tool for comparative analysis: the development and application of a static headspace gas chromatography/mass spectrometry method. , 2005, Bulletin on narcotics.
[59] Olivier Delémont,et al. Data triangulation in the context of opioids monitoring via wastewater analyses. , 2015, Drug and alcohol dependence.
[60] Siddharth Chandra,et al. Transnational cocaine and heroin flow networks in western Europe: A comparison. , 2015, The International journal on drug policy.
[61] Aurélien Géron,et al. Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems , 2017 .
[62] Kar-Weng Chan,et al. Investigation of illicit heroin seized in Malaysia: physical characteristics and chemical profiling , 2012 .
[63] Adriano O Maldaner,et al. Correlation of cocaine hydrochloride samples seized in Brazil based on determination of residual solvents: an innovative chemometric method for determination of linkage thresholds. , 2013, Analytical chemistry.
[64] Roberta Risoluti,et al. Cocaine profiling: Implementation of a predictive model by ATR-FTIR coupled with chemometrics in forensic chemistry. , 2017, Talanta.
[65] Peter J. Rousseeuw,et al. Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .
[66] L Dujourdy,et al. Drug intelligence based on organic impurities in illicit MA samples. , 2008, Forensic science international.
[67] Knut E. Rasmussen,et al. Micellar electrokinetic chromatography of charged and neutral drugs in acidic running buffers containing a zwitterionic surfactant, sulfonic acids or sodium dodecyl sulphate separation of heroin, basic by-products and adulterants , 1997 .
[68] L Strömberg,et al. Heroin impurity profiling. A harmonization study for retrospective comparisons. , 2000, Forensic science international.
[69] Laura Aalberg,et al. Development of a harmonized method for the profiling of amphetamines. I. Synthesis of standards and compilation of analytical data. , 2005, Forensic science international.
[70] H. Kaiser. The Application of Electronic Computers to Factor Analysis , 1960 .
[71] Andrzej Parczewski,et al. Application of chemometric methods in searching for illicit Leuckart amphetamine sources , 2001 .
[72] Pierre Margot,et al. Forensic Intelligence and Crime Analysis , 2003 .
[73] Claude Roux,et al. Physical evidence in drug intelligence, Part 1: rationale based on hierarchic distribution of drugs using pyrolysis gas chromatography –mass spectrometry as an example , 2007 .
[74] Donald F. Specht,et al. Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification , 1990, IEEE Trans. Neural Networks.
[75] P Maynard,et al. Adhesive tape analysis: establishing the evidential value of specific techniques. , 2001, Journal of forensic sciences.
[76] Guan Huat Tan,et al. Harmonizing a chemometric procedure for the classification of illicit heroin using manufacturing impurities: preliminary investigation of heroin simulated links , 2013 .
[77] Tony Raymond,et al. Forensic intelligence in policing: organisational and cultural change , 2015 .
[78] S. Wold,et al. PLS-regression: a basic tool of chemometrics , 2001 .
[79] William J. Kerr,et al. Characterization of Route Specific Impurities Found in Methamphetamine Synthesized by the Leuckart and Reductive Amination Methods , 2009, Analytical chemistry.
[80] Julian Broséus,et al. First systematic chemical profiling of cocaine police seizures in Finland in the framework of an intelligence-led approach. , 2015, Forensic science international.
[81] Kathrine E. Janzen,et al. A database for comparison analysis of illicit cocaine samples , 1994 .
[82] M D Cole. Occluded Solvent Analysis as a Basis for Heroin and Cocaine Sample Differentiation. , 1998, Forensic science review.
[83] G. N. Lance,et al. Computer Programs for Hierarchical Polythetic Classification ("Similarity Analyses") , 1966, Comput. J..
[84] Laura Aalberg,et al. Development of a harmonized method for the profiling of amphetamines. II. Stability of impurities in organic solvents. , 2005, Forensic science international.
[85] Claudio L. Donnici,et al. Analysis of seized cocaine samples by using chemometric methods and FTIR spectroscopy , 2013 .
[86] Philip Doble,et al. Chemical profiling and classification of illicit heroin by principal component analysis, calculation of inter sample correlation and artificial neural networks. , 2005, Talanta.
[87] David Littlejohn,et al. Classification of ecstasy tablets using trace metal analysis with the application of chemometric procedures and artificial neural network algorithms. , 2004, The Analyst.
[88] Claude Roux,et al. The use of forensic case data in intelligence-led policing: the example of drug profiling. , 2013, Forensic science international.
[89] Laura Aalberg,et al. Drug intelligence based on MDMA tablets data I. Organic impurities profiling. , 2008, Forensic science international.
[90] Fabrice Besacier,et al. A contribution to the chemical profiling of 3,4-methylenedioxymethamphetamine (MDMA) tablets. , 2002, Forensic science international.
[91] S. Klemenc,et al. In common batch searching of illicit heroin samples--evaluation of data by chemometrics methods. , 2001, Forensic science international.
[92] S Lociciro,et al. Cocaine profiling for strategic intelligence purposes, a cross-border project between France and Switzerland. Part I. Optimisation and harmonisation of the profiling method. , 2007, Forensic science international.
[93] Hiroyuki Inoue,et al. Comparison and classification of methamphetamine seized in Japan and Thailand using gas chromatography with liquid-liquid extraction and solid-phase microextraction. , 2008, Forensic science international.
[94] James R. Pearson,et al. Impurity profiling of methylamphetamine in Australia and the development of a national drugs database , 1994 .
[95] Max M. Houck. Professional Issues in forensic science. , 2015 .
[96] Miguel de la Guardia,et al. A green method for the determination of cocaine in illicit samples. , 2014, Forensic science international.
[97] János Podani,et al. Introduction to the exploration of multivariate biological data , 2000 .
[98] Leslie A. King,et al. Heroin profiling: Predicting the country of origin of seized heroin , 1998 .
[99] Ahmad Fahmi Lim Abdullah,et al. Trace elemental profile investigation of illicit heroin for forensic intelligence , 2020 .
[100] Manfred. Gloger,et al. Analyse von heroinproben mit der Kapillargaschromatographie. Vergleich von Glaskapillartrennsäule und gepackter Säule , 1983 .
[101] James R. Ehleringer,et al. Geo-location of heroin and cocaine by stable isotope ratios , 1999 .
[102] D. A. Cooper,et al. Illicit heroin manufacturing byproducts: capillary gas chromatographic determination and structural elucidation of narcotine- and norlaudanosine-related compounds. , 1984, Analytical chemistry.
[103] C Barnfield,et al. The routine profiling of forensic heroin samples. , 1988, Forensic science international.
[104] G. N. Lance,et al. Mixed-Data Classificatory Programs I - Agglomerative Systems , 1967, Aust. Comput. J..
[105] Philip Doble,et al. Optimisation of HPLC gradient separations using artificial neural networks (ANNs): application to benzodiazepines in post-mortem samples. , 2009, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[106] Mario Cantú-Sifuentes,et al. Multivariate statistical inference in a radial basis function neural network , 2018, Expert Syst. Appl..
[107] Zhiguo Wang,et al. k-Nearest Neighbor Augmented Neural Networks for Text Classification , 2017, ArXiv.
[108] Zhendong Hua,et al. Profiling and classification of illicit heroin by ICP-MS analysis of inorganic elements. , 2014, Forensic science international.
[109] K. Sjoedin. Minimizing effects of closure on analytical data , 1984 .
[110] Tao Li,et al. Using discriminant analysis for multi-class classification: an experimental investigation , 2006, Knowledge and Information Systems.
[111] Benjamin Debrus,et al. Study of common database feeding with results coming from different analytical methods in the framework of illicit drugs chemical profiling. , 2013, Forensic science international.
[112] Pierre Margot,et al. Optimization of HS-SPME/GC-MS analysis and its use in the profiling of illicit ecstasy tablets (Part 1). , 2009, Forensic science international.
[113] M. Zweig,et al. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. , 1993, Clinical chemistry.
[114] Rodinei Augusti,et al. Evaluation of the composition of street cocaine seized in two regions of Brazil. , 2013, Science & justice : journal of the Forensic Science Society.
[115] Rao S. Govindaraju,et al. Radial-Basis Function Networks , 2000 .
[116] T. C. Kram,et al. The Identification of Impurities in Illicit Methamphetamine Exhibits by Gas Chromatography/Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy , 1977 .
[117] Hiroyuki Inoue,et al. Identification of impurities and the statistical classification of methamphetamine using headspace solid phase microextraction and gas chromatography-mass spectrometry. , 2006, Forensic science international.
[118] J R Beck,et al. The use of relative operating characteristic (ROC) curves in test performance evaluation. , 1986, Archives of pathology & laboratory medicine.
[119] Antoine Zambelli,et al. A data-driven approach to estimating the number of clusters in hierarchical clustering , 2016, F1000Research.
[120] Alison Beavis,et al. A review of impurity profiling and synthetic route of manufacture of methylamphetamine, 3,4-methylenedioxymethylamphetamine, amphetamine, dimethylamphetamine and p-methoxyamphetamine. , 2013, Forensic science international.
[121] H. Neumann,et al. Profiling of illicit heroin samples by high-resolution capillary gas chromatography for forensic application , 1982 .
[122] M Morelato. Forensic drug profiling : a tool for intelligence-led policing , 2015 .
[123] Marcelo Caetano Alexandre Marcelo,et al. Profiling cocaine by ATR-FTIR. , 2015, Forensic science international.
[124] Alex Biedermann,et al. Forensic drug intelligence: an important tool in law enforcement. , 2007, Forensic science international.
[125] S. Skopec,et al. Investigation of heroin profiling using trace organic impurities. , 2001, The Analyst.
[126] Ruth J H Waddell-Smith,et al. A Review of Recent Advances in Impurity Profiling of Illicit MDMA Samples , 2007, Journal of forensic sciences.
[127] K E Janzen,et al. Comparison analysis of illicit cocaine samples. , 1992, Journal of forensic sciences.
[128] K. E. Janzen. Cross-Matching of Cocaine Samples. A Case Study , 1987 .
[129] M M van Deursen,et al. Organic impurity profiling of 3,4-methylenedioxymethamphetamine (MDMA) tablets seized in The Netherlands. , 2006, Science & justice : journal of the Forensic Science Society.
[130] Philip Doble,et al. Physical evidence in drug intelligence, Part 2: discrimination of packaging tapes by colour , 2008 .
[131] Marcio Talhavini,et al. Discrimination and quantification of cocaine and adulterants in seized drug samples by infrared spectroscopy and PLSR. , 2015, Forensic science international.
[132] Niamh Nic Daéid,et al. The analytical and chemometric procedures used to profile illicit drug seizures. , 2005, Talanta.
[133] F Taroni,et al. A methodology for illicit heroin seizures comparison in a drug intelligence perspective using large databases. , 2003, Forensic science international.
[134] Robert Tibshirani,et al. Estimating the number of clusters in a data set via the gap statistic , 2000 .
[135] Pierre Esseiva,et al. The profiling of MDMA tablets: a study of the combination of physical characteristics and organic impurities as sources of information. , 2009, Forensic science international.
[136] L. Strömberg,et al. Two-level classification of Leuckart amphetamine , 1994 .
[137] Chris H. Q. Ding,et al. K-means clustering via principal component analysis , 2004, ICML.
[138] Pierre Margot,et al. Headspace solid-phase microextraction (HS-SPME) and liquid-liquid extraction (LLE): comparison of the performance in classification of ecstasy tablets. Part 2. , 2008, Forensic science international.
[139] Christian W. Dawson,et al. Hydrological modelling using artificial neural networks , 2001 .