title: [Identification of hashish samples with inductively coupled high-frequency plasma emission spectrometry and neutron activation analysis and data handling with neuronal networks. 1. Methods for the quantitative determination of characteristic trace elements].
abstract: Neutron activation analysis (NAA) and inductively coupled plasma emission spectrometry (ICP-AES) were used to quantify the relative contents of Fe, Sc, Ce, Pa, Cr, Co, respectively the absolute contents of Cr, Zn, Mn, Fe, Mg, Al, Cu, Ti, Ca, Sr in hashish samples, seized in different countries. The samples were processed after dry ashing by means of instrumental NAA and after wet mineralization by means of ICP-AES. For determination of the sampling and measurement errors, one of the samples was analyzed repeatedly with both methods. Classifying hashish samples with regard to concentration of certain elements could be done by artificial neural networks with a modified backpropagation algorithm. By this way, identity and non identity of one unknown sample with one of many different samples as data pool can be ascertained, on principle.
authors.affiliation: Institut für Pharmazeutische Chemie der Westfälischen Wilhelms-Universität Münster, Germany.
authors.forename: H
authors.initials: H
authors.lastname: Lahl
authors.forename: G
authors.initials: G
authors.lastname: Henke
mesh_terms: D002188:Cannabis / Q000737:chemistry*; D007202:Indicators and Reagents; D013058:Mass Spectrometry; D016571:Neural Networks, Computer; D009501:Neutron Activation Analysis; D014131:Trace Elements / Q000737:chemistry*
chemical_list: D007202:Indicators and Reagents; D014131:Trace Elements