Springer Science and Business Media LLC

Portable energy dispersive X-ray fluorescence (pEDXRF) spectrometry analysis was applied for the characterisation of archaeological ceramic findings from three Neolithic sites in Serbia. Two dimension reduction techniques, principal component analysis (PCA) and scattering matrices-based dimension reduction were used to examine the possible classification of those findings, and to extract the most discriminant features. A decision-making procedure is proposed, whose goal is to classify unknown ceramic findings based on their elemental compositions derived by pEDXRF spectrometry. As a major part of decision-making procedure, the possibilities of two dimension reduction methods were tested. Scattering matrices-based dimension reduction was found to be the more efficient method for the purpose. Linear classifiers designed based on the desired output allowed for 7 of 8 unknown samples from the test set to be correctly classified. Based on the results, the conclusion is that despite the constraints typical of the applied analytical technique, the elemental composition can be considered as viable information in provenience studies. With a fully-developed procedure, ceramic artefacts can be classified based on their elemental composition and well-known provenance.

This paper aims to study temperature-dependent quantitative structure activity relationship (QSAR) models of supercritical water oxidation (SCWO) process which were developed based on Arrhenius equation between oxidation reaction rate and temperature. Through exploring SCWO process, each kinetic rate constant was studied for 21 organic substances, including azo dyes, heterocyclic compounds and ionic compounds. We propose the concept of TR95, which is defined as the temperature at removal ratio of 95%, it is a key indicator to evaluate compounds’ complete oxidation. By using Gaussian 09 and Material Studio 7.0, quantum chemical parameters were conducted for each organic compound. The optimum model is TR95 = 654.775 + 1761.910f(+)n − 177.211qH with squared regression coefficient R2 = 0.620 and standard error SE = 35.1. Nearly all the compounds could obtain accurate predictions of their degradation rate. Effective QSAR model exactly reveals three determinant factors, which are directly related to degradation rules. Specifically, the lowest f(+) value of main-chain atoms (f(+)n) indicates the degree of affinity for nucleophilic attack. qH shows the ease or complexity of valence-bond breakage of organic molecules. BOx refers to the stability of a bond. Coincidentally, the degradation mechanism could reasonably be illustrated from each perspective, providing a deeper insight of universal and propagable oxidation rules. Besides, the satisfactory results of internal and external validations suggest the stability, reliability and predictive ability of optimum model.

This study has demonstrated the use of crystallography, topology and graph set analysis in the description and classification of the complex hydrogen bonded network of triamterene. The aim is to give a brief overview of the methodology used to discuss the crystal structure of triamterene with a view to extending the study to include the solvates, cocrystals and salts of this compound.

Ardipusilloside-I (ADS-I) is a triterpenoid saponin extracted from Chinese medicinal herb Ardisiapusill A. DC. Previous studies have demonstrated the potent anti-tumor activities of ADS-I both in vitro and in vivo, and its main metabolites (M1 and M2) from human intestinal bacteria. However, the physicochemical properties and intestinal permeation rate of ADS-I and its metabolites are not understood. In this study, the octanol/water distribution coefficients (logP) of ADS-I and metabolites were investigated using standard shake flask technique, and their permeability properties was investigated across Caco-2 cells monolayer. The logP of ADS-I, M1 and M2 was −0.01, 0.95 ± 0.04, 1.57 ± 0.11, respectively. The Papp values of ADS-I, M1 and M2 (in 10 μmol/L) across Caco-2 cell monolayers from the apical (AP) to basolateral (BL) direction were 1.88 ± 0.21 × 10−6 cm·s−1, 4.30 ± 0.43 × 10−6 cm·s−1, 4.74 ± 0.47 × 10−6 cm·s−1, respectively. Our data indicated that ADS-I has the poorer intestinal absorption than its metabolites (M1 and M2) in these experimental systems, suggesting that the metabolites of ADS-I may be the predominant products absorbed by the intestine when ADS-I is administered orally.

Anabolic androgenic steroids (AAS) are widely misused for the enhancement of performance in sports. Several drugs are available that contain different combinations or individual steroids in different dosage form. This paper describes a TLC densitometric method for simultaneous determination of four AAS of testosterone derivatives including testosterone propionate (TP), testosterone phenyl propionate (TPP), testosterone isocaproate (TI) and testosterone deaconate (TD) in their pharmaceutical products. Separation was carried out on Al based TLC plates, pre-coated with silica gel 60F-254 using hexane and ethyl acetate (8.5:1.5, v/v). Spots at Rf 0.31 ± 0.01, 0.34 ± 0.01, 0.40 ± 0.01 and 0.45 ± 0.02 were recognized as TPP, TP, TI and TD, respectively. Quantitative analysis was done by densitometric measurements at λmax 251 nm for all derivatives. The developed method was validated as per ICH guidelines. Method was found linear over the concentration range of 200–1200 ng/spot with the correlation coefficient of 0.995, 0.993, 0.995 and 0.996 for TP, TPP, TI, TD, respectively. Limit of detection for all derivatives were in the range of 16.7-22.3 ng/spot while limit of quantitation were found to be in the range of 55.7-70.9 ng/spot. The developed TLC method can be applied for the simultaneous routine analysis of testosterone derivatives in their individual and combined pharmaceutical formulations.

Our knowledge of proteins has greatly improved in recent years, driven by new technologies in the fields of molecular biology and proteome research. It has become clear that from a single gene not only one single gene product but many different ones - termed protein species - are generated, all of which may be associated with different functions. Nonetheless, an unambiguous nomenclature for describing individual protein species is still lacking. With the present paper we therefore propose a systematic nomenclature for the comprehensive description of protein species. The protein species nomenclature is flexible and adaptable to every level of knowledge and of experimental data in accordance with the exact chemical composition of individual protein species. As a minimum description the entry name (gene name + species according to the UniProt knowledgebase) can be used, if no analytical data about the target protein species are available.