Study on the separation mechanism of solid-substrate electrospray ionization mass spectrometry

Solid-substrate electrospray ionization mass spectrometry is an important ambient ionization technology to simplify mass spectrometry analysis. Nowadays, its separation application has been reported increasingly, however, the detailed separation mechanism is still indistinct although the chromatographic effect was reported as a possible factor. In this study, substrate-filled capillary electrospray ionization mass spectrometry was developed as an ideal model to investigate the separation mechanism using over thirty small molecules (neutral, basic, and weakly acidic) as model compounds with C18-bonded silica gel and silica gel as the substrates. The chromatographic effect was validated by the negative t-value of oil-water distribution coefficient, and the electric field effect was verified by the paired t-test (p < 0.01) between the retention times at 5.5 and 4.0 kV. A differential equation was proposed to quantify the compound retention under electric field. The quantitative method was validated to rapidly quantify proline (31.88 μg/mL) and hydroxyproline (20.71 μg/mL) in plasma with acceptable selectivity and accuracy. In conclusion, the separation mechanism of solid-substrate electrospray ionization mass spectrometry was the combination of the chromatographic and electric field effects, which could provide theoretical guidance for the separation optimization, and also promote its applications in biological, pharmaceutical, forensic, food and environmental analyses, etc.

Prediction of critical properties of sulfur-containing compounds: New QSPR models

In this study, new models have been proposed for the prediction of different critical properties (critical temperature (T_C), critical pressure (P_C), critical volume (V_C), and acentric factor (ω)) of the sulfur-containing compounds based on quantitative structure-property relationship (QSPR). An extensive data set containing experimental data of over 130 different sulfur-containing compounds was employed. Enhanced Replacement Method (ERM) was applied for subset variable selection. Based on ERM selected descriptors, two different models, including linear model and genetic programming (GP) based non-linear model have been proposed for each critical property. The predicted values of each target were in good agreement with the experimental data. For GP-based models, the values of the coefficient of determination (R²) were 0.936, 0.976, 0.990, and 0.917 for T_C, P_C, V_C, and ω, respectively. After revisiting the available QSPR models, it was found that the domain of applicability of new models has been expanded.

Synthesis, evaluation of anticancer activity and COMPARE analysis of N-bis(trifluoromethyl)alkyl-N'-substituted ureas with pharmacophoric moieties

A series of new synthesized N-bis(trifluoromethyl)alkyl-N'-substituted ureas have been tested in the National Cancer Institute (NCI, Bethesda, USA) by Program NCI-60 DTP Human Tumor Cell Line Screen at a single high dose (10(-5) M). COMPARE analysis has been carried out for all tested compounds. The tested compounds showed antitumor activity against individual cell lines. The most sensitive cell lines relative to the tested compounds are: 5 g Leukemia RPMI-8226 (GI% 52.7), Non-Small Cell Lung cancer HOP-92 (GI % 88.53), NCI-H522 (GI % 64.41), Melanoma UACC-62 (GI% 53.08), SK-MEL-5 (GI % 74.63), Breast cancer MDA-MB-468 (GI% 51.29), T-47D (GI % 65.1), 5b Leukemia K-562 (GI % 55.55), 7 m Leukemia HL-60(TB) (GI % 51.76).