A C4-modified bipyridinium multi-mode stationary phase for reversed phase, hydrophilic interaction and ion exchange chromatography

Y Yang, Y Li, Z Long, L Han, K Quan, J Chen, X Liu… - Analytical …, 2023 - pubs.rsc.org
A novel C4-modified bipyridinium stationary phase (Sil-DPC4) was prepared and
characterized by elemental analysis (EA) and Fourier transform infrared spectrometry (FT …

Basic principles for the selection of liquid chromatographic modes for specific applications

C Calderón, M Lämmerhofer - Liquid chromatography, 2023 - Elsevier
The enormous versatility of liquid chromatography (LC) arises from the numerous retention
principles that can be exploited for generating differential retention of target analytes …

Deep graph convolutional network for small-molecule retention time prediction

Q Kang, P Fang, S Zhang, H Qiu, Z Lan - Journal of Chromatography A, 2023 - Elsevier
The retention time (RT) is a crucial source of data for liquid chromatography-mass
spectrometry (LCMS). A model that can accurately predict the RT for each molecule would …

A novel strategy of coupling artificial intelligence with chemical fingerprinting to predict drug phase behaviors in complex systems

S Wang, Y Ji - AIChE Journal, 2024 - Wiley Online Library
With the large‐scale development of drugs, understanding the drug phase behaviors in
complex systems becomes more and more important. Among them, the solubility of drugs in …

Retention time prediction for small samples based on integrating molecular representations and adaptive network

X Wang, F Zheng, M Sheng, G Xu, X Lin - Journal of Chromatography B, 2023 - Elsevier
Retention time (RT) can provide orthogonal information different from that of mass
spectrometry and contribute to identifying compounds. Many machine learning methods …

An open-source framework for fast-yet-accurate calculation of quantum mechanical features

E Caldeweyher, C Bauer, AS Tehrani - Physical Chemistry Chemical …, 2022 - pubs.rsc.org
We present the open-source framework kallisto that enables the efficient and robust
calculation of quantum mechanical features for atoms and molecules. For a benchmark set …

Reversed-phase liquid chromatography

CF Poole, N Lenca - Liquid chromatography, 2017 - Elsevier
Reversed-phase liquid chromatography encompasses a family of separation techniques
characterized by the distribution of compounds between a water-containing mobile phase …

Machine learning liquid chromatography retention time prediction model augments the dansylation strategy for metabolite analysis of urine samples

E Choi, WJ Yoo, HY Jang, TY Kim, SK Lee… - … of Chromatography A, 2023 - Elsevier
Herein, a standalone software equipped with a graphic user interface (GUI) is developed to
predict liquid chromatography mass spectrometry (LC–MS) retention times (RTs) of …

Investigation of supercritical fluid chromatography retention behaviors using quantitative structure-retention relationships

L Si-Hung, Y Izumi, M Nakao, M Takahashi… - Analytica Chimica Acta, 2022 - Elsevier
Abstract Supercritical Fluid Chromatography (SFC), a high-throughput separation technique,
has been widely applied as a promising routine method in pharmaceutical, pesticides, and …

Target and suspect screening of psychoactive substances in seizures and oral fluid exploiting retention time prediction and LC-MS/MS analysis

G Di Francesco, F Vincenti, C Montesano… - Analytica Chimica …, 2024 - Elsevier
Background Novel psychoactive substances (NPS) are a group of substances, mainly of
synthetic origin, characterized by toxicological properties extremely dangerous. The main …