A fully automatic prediction for peptide retention time (RT) in liquid chromatography (LC), termed as DeepRT, was developed using deep learning approach, an ensemble of Residual Network (ResNet) and Long Short-Term Memory (LSTM). In contrast to the traditional predictor based on the hand-crafted features for peptides, DeepRT learns features from raw amino acid sequences and makes relatively acc...

Porous graphitic carbon (PGC) is an important tool in a chromatographer's armory that retains polar compounds with mass spectrometry (MS)-compatible solvents. However, its applicability is severely limited by an unpredictable loss of retention, which can be attributed to contamination. The solutions offered fail to restore the original retention and our observations of retention time shifts of ...

Cored beads (also known as pellicular, superficially porous, and fused-cored beads or particles) offer advantages over fully porous beads in reduced diffusional mass transfer resistances in particle macropores and separation times in liquid chromatography (LC). They are also used to regulate bead densities. The core of a bead has a relatively small volume and yet presents a large linear distanc...

Sweet cherry is one of the most appreciated fruit by consumers since it is an early season fruit and has an excellent quality. In this study effect of active nano composite formed from chitosan (as a matrix material), nano cellulose fiber (1% concentration) and Thyme oils (Tymus Vulgaris L) at 1% concentration on fruits quality was investigated. Treated fruits were stored at 1°C for 5 weeks and...

Significant increase in design cycle time is caused by the design and optimization complexity of Analog/MixedSignal System-on-a-Chip (AMS-SoC) components as the technology moves deeper into the nanoscale domain. In this paper, a two-tier design methodology is proposed that greatly reduces design cycle time by combining accurate polynomial metamodeling and intelligent optimization. In this metho...

Abstract Currently, there is a growing interest in the study of environmental degradation pathways organic contaminants such as pesticides, with objective to better understand their potential risk for systems and living organisms. In this context, DFT (conceptual density functional theory) predictive methods may systematically be used simplify accelerate elucidation degradation. We report herei...

introduction     cadmium as one of the toxic heavy metal, because of harmful effects on health and the environment, has attracted a lot of attention. the main sources of cadmium emissions are the environment, the waste of electroplating, melting, alloyed manufacturing, pigments, plastics, batteries, extraction and refining processes. this metal easily accumulates in different machines of people...