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 …
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 …
principles that can be exploited for generating differential retention of target analytes …
Deep graph convolutional network for small-molecule retention time prediction
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 …
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 …
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
Retention time (RT) can provide orthogonal information different from that of mass
spectrometry and contribute to identifying compounds. Many machine learning methods …
spectrometry and contribute to identifying compounds. Many machine learning methods …
An open-source framework for fast-yet-accurate calculation of quantum mechanical features
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 …
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 …
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 …
predict liquid chromatography mass spectrometry (LC–MS) retention times (RTs) of …
Investigation of supercritical fluid chromatography retention behaviors using quantitative structure-retention relationships
Abstract Supercritical Fluid Chromatography (SFC), a high-throughput separation technique,
has been widely applied as a promising routine method in pharmaceutical, pesticides, and …
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 …
synthetic origin, characterized by toxicological properties extremely dangerous. The main …