Sample preparation procedure for the determination of polycyclic aromatic hydrocarbons in petroleum vacuum residue and bitumen

This paper describes a novel method of sample preparation for the determination of trace concentrations of polycyclic aromatic hydrocarbons (PAHs) in high-boiling petroleum products. Limits of quantitation of the investigated PAHs in materials of this type range from tens of nanograms per kilogram to <20 μg/kg. The studies revealed that in order to separate most of interferences from the analytes without a significant loss of PAHs, it is necessary to use size exclusion chromatography as the first step of sample preparation, followed by adsorption using normal-phase liquid chromatography. The use of orthogonal separation procedure described in the paper allows the isolation of only a group of unsubstituted and substituted aromatic hydrocarbons with a specific range of molar mass. The lower the required limit of quantitation of PAHs, the larger is the scale of preparative liquid chromatography in both steps of sample preparation needed. The use of internal standard allows quantitative results to be corrected for the degree of recovery of PAHs during the sample preparation step. Final determination can be carried out using HPLC-FLD, GC-MS, or HPLC-UV–VIS/DAD. The last technique provides a degree of identification through the acquired UV–VIS spectra

ANNEALING OF RECOIL CHROMIUM-51 IN K3[CR(NCS)6].4H2O

352777

THERMAL ANNEALING OF CR-51(III).DOPED K3[CR(NCS)6].4H2O

38418919

USE OF ARTIFICIAL NEURAL NETWORKS FOR THE CLASSIFICATION OF VEGETABLE-OILS AFTER GC ANALYSIS

Artificial Neural Networks are proposed for the classification of vegetable oils submitted to gas chromatography analysis through their FAME profiles. Three important neural networks are evaluated here: the Hopfield model as a content-addressable memory (CAM), the Hamming model and the multi-layer perceptron. A brief description of these nets is first presented and further implemented for the classification of known vegetable oils. After the learning step, unknown samples are presented to the nets and the identification step performed. The performances of these nets are compared for the recognition of popular vegetable oils, including several edible oils.354173216016

Sample preparation techniques for GC

Sample preparation is still considered the most time-consuming and error-prone step within the analytical process in many research fields. This is particularly true in food and environmental analysis where the complexity of many of the investigated matrices and the low concentration levels at which the target compounds should be accurately determined made necessary the use of tedious and highly manipulative multistep sample preparation protocols. This chapter reviews current state of the art in the field of sample preparation for combined use with gas chromatographic-based techniques. The most relevant developments achieved in the last two decades in this active research area have been reviewed and discussed on the basis of representative application studies primarily taken from the environmental and food fields. As in other research areas, miniaturisation and increased integration of the several treatment steps typically required for the preparation of these matrices are revealed as the most relevant trends within this step of the analytical process.Author thanks MINECO (CTQ2010-32957) and CM and FEDER program (project S2009/AGR-1464, ANALISYC-II) for financial support.Peer reviewe

Chemical diversity and potential biological functions of the pygidial gland secretions in two species of Neotropical dung roller beetles

Dung roller beetles of the genus Canthon (Coleoptera: Scarabaeinae) emit an odorous secretion from a pair of pygidial glands. To investigate the chemical composition of these secretions, we used stir bar sorptive extraction (SBSE), coupled with gas chromatography–mass spectrometry (GC–MS) for analysis of extracts of pygidial gland secretions secreted by the dung roller beetles Canthon femoralis femoralis and Canthon cyanellus cyanellus. Chemical analyses of volatiles collected from pygidial gland secretions comprise a great diversity of the functional groups. Chemical profile comparisons showed high intra- and interspecific variability. The pygidial gland secretion of Canthon f. femoralis was dominated by sesquiterpene hydrocarbons, whereas the profile of Canthon c. cyanellus was dominated by carboxylic acids. The different pygidial secretions have a high diversity of chemical compounds suggesting a multifunctional nature involving some key functions in the biology. We discuss the biological potential of these compounds found in the pygidial glands of each species with respect to their ecological and behavioral relevance.We are grateful to CONACYT Mexico for awarding a doctoral scholarship (14643) and a postdoctoral fellowship (184878 and 203310) to V.C.G. This paper is partly based on the Ph.D. thesis of V.C.G. This work was supported by CONACYT Mexico (168373-Etapa II) and the Ministerio de Ciencia e Innovación (Spain) (CGL2008-03878)