Analysis of Dyes in Illicit Pills (Amphetamine and Derivatives)

Goldmann, Till; Taroni, Franco; Margot, Pierre

doi:10.1520/jfs2002151

Cited by 20 publications

(17 citation statements)

References 7 publications

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“…In the past, for both qualitative and quantitative determination techniques such as paper and thin-layer chromatography (Griffiths 1966;Goldmann et al 2004), column chromatography (Patel et al 1986), titration (Ashkenazi et al 1991), electrophoresis (Yeh 1977), spectrophotometry (Prado et al 2006;Graichen 1975) and high-performance liquid chromatography (HPLC) (Yoshioka and Ichihashi 2008) were adopted. We report here a new polyoxometalate cluster, Ln-POM, and its nanohybrid composite with carbon nano-onion.…”

Section: Resultsmentioning

confidence: 99%

Nanocarbon–{[Na10(PrW10O36)]2·130H2O} composite to detect toxic food coloring dyes at nanolevel

Dutta

Sarkar

2016

Appl Nanosci

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Monitoring of adulterated and toxic food colors is important due to their potential toxicity and pathogenicity. Here, we repot an Ln-POM (lanthanide polyoxometalate) cluster, {[Na 10 (PrW 10 O 36 )] 2 Á130H 2 O}, with carbon nano-onion (CNO) hybrid composite which is a highly efficient sensor for the rapid detection of toxic dyes like metanil yellow, auramine O, Orange II and in allura red (red 40) as low as 3.83; 4.73; 4.14 and 2.90 nmol ml -1 concentration, respectively, by fluorescence spectroscopy.

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Section: Resultsmentioning

confidence: 99%

Nanocarbon–{[Na10(PrW10O36)]2·130H2O} composite to detect toxic food coloring dyes at nanolevel

Dutta

Sarkar

2016

Appl Nanosci

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“…The utility of a Bayesian approach in forensic science, including ballistic (Bunch, 2000) and paint matching (McDermott et al, 1999), drug sampling and analysis (Coulson et al, 2001;Goldmann et al, 2004), and DNA identification (Krawczak and Schmidtke, 1992;Evett and Weir, 1998;Thompson et al, 2003;Foreman et al, 1999), is widely known, as it provides the examiner with the likelihood ratio of a positive identification or match that can be presented in court.…”

Section: Osteological Data Likelihood Ratios and Personal Identificmentioning

confidence: 99%

Statistical basis for positive identification in forensic anthropology

Steadman

Adams

Konigsberg

2006

Am. J. Phys. Anthropol.

108

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Forensic scientists are often expected to present the likelihood of DNA identifications in US courts based on comparative population data, yet forensic anthropologists tend not to quantify the strength of an osteological identification. Because forensic anthropologists are trained first and foremost as physical anthropologists, they emphasize estimation problems at the expense of evidentiary problems, but this approach must be reexamined. In this paper, the statistical bases for presenting osteological and dental evidence are outlined, using a forensic case as a motivating example. A brief overview of Bayesian statistics is provided, and methods to calculate likelihood ratios for five aspects of the biological profile are demonstrated. This paper emphasizes the definition of appropriate reference samples and of the "population at large," and points out the conceptual differences between them. Several databases are introduced for both reference information and to characterize the "population at large," and new data are compiled to calculate the frequency of specific characters, such as age or fractures, within the "population at large." Despite small individual likelihood ratios for age, sex, and stature in the case example, the power of this approach is that, assuming each likelihood ratio is independent, the product rule can be applied. In this particular example, it is over three million times more likely to obtain the observed osteological and dental data if the identification is correct than if the identification is incorrect. This likelihood ratio is a convincing statistic that can support the forensic anthropologist's opinion on personal identity in court.

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“…The analytical method was based on a buffer containing 20 mM sodium hydrogen phosphate and 10 mM sodium hydrogen carbonate adjusted at pH 10.5 with 0.1 M NaOH. Ten millimolar hydroxypropylb-CD was added together with 4.75% ACN [19]. The separation was performed under 25 kV voltage.…”

Section: Forensic Drugs and Poisonsmentioning

confidence: 99%

Recent advances in the applications of CE to forensic sciences (2001–2004)

Tagliaro

Bortolotti

2006

Electrophoresis

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Recent advances in the applications of CE to forensic sciences (2001-2004)The present article reviews the applications of CE in forensic science covering the period from 2001 until the first part of 2005. The overview includes the most relevant examples of analytical applications of capillary electrophoretic and electrokinetic techniques in the following fields: (i) Forensic drugs and poisons, (ii) explosive analysis and gunshot residues, (iii) small ions of forensic interest, (iv) forensic DNA and RNA analysis, (v) proteins of forensic interest, and (vi) ink analysis.

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Analysis of Dyes in Illicit Pills (Amphetamine and Derivatives)

Cited by 20 publications

References 7 publications

Nanocarbon–{[Na10(PrW10O36)]2·130H2O} composite to detect toxic food coloring dyes at nanolevel

Nanocarbon–{[Na10(PrW10O36)]2·130H2O} composite to detect toxic food coloring dyes at nanolevel

Statistical basis for positive identification in forensic anthropology

Recent advances in the applications of CE to forensic sciences (2001–2004)

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