Column characterization and selection systems in reversed-phase high-performance liquid chromatography

P Žuvela, M Skoczylas, J Jay Liu, T Ba̧czek… - Chemical …, 2019 - ACS Publications
Reversed-phase high-performance liquid chromatography (RP-HPLC) is the most popular
chromatographic mode, accounting for more than 90% of all separations. HPLC itself owes …

QSRR: quantitative structure-(chromatographic) retention relationships

R Kaliszan - Chemical reviews, 2007 - ACS Publications
At the current state of development of chemistry, it appears easier to synthesize a compound
with a definite chemical structure than with a certain required property. Usually, reaction …

Solar radiation prediction using different machine learning algorithms and implications for extreme climate events

L Huang, J Kang, M Wan, L Fang, C Zhang… - Frontiers in Earth …, 2021 - frontiersin.org
Solar radiation is the Earth's primary source of energy and has an important role in the
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …

Quantitative structure–(chromatographic) retention relationships

K Héberger - Journal of chromatography A, 2007 - Elsevier
Since the pioneering works of Kaliszan (R. Kaliszan, Quantitative Structure–
Chromatographic Retention Relationships, Wiley, New York, 1987; and R. Kaliszan …

Use of proteomics and peptidomics methods in food bioactive peptide science and engineering

J Carrasco-Castilla, AJ Hernández-Álvarez… - Food Engineering …, 2012 - Springer
Proteomic and peptidomic studies are emerging as an important part of the holistic approach
to food science and technology and have been recently applied in the study and production …

Life cycle management of analytical methods

MK Parr, AH Schmidt - Journal of pharmaceutical and biomedical analysis, 2018 - Elsevier
In modern process management, the life cycle concept gains more and more importance. It
focusses on the total costs of the process from invest to operation and finally retirement. Also …

Improved peptide elution time prediction for reversed-phase liquid chromatography-MS by incorporating peptide sequence information

K Petritis, LJ Kangas, B Yan, ME Monroe… - Analytical …, 2006 - ACS Publications
We describe an improved artificial neural network (ANN)-based method for predicting
peptide retention times in reversed-phase liquid chromatography. In addition to the peptide …

Peptide retention time prediction

L Moruz, L Käll - Mass spectrometry reviews, 2017 - Wiley Online Library
Most methods for interpreting data from shotgun proteomics experiments are to large degree
dependent on being able to predict properties of peptide‐ions. Often such predicted …

Review on modelling aspects in reversed-phase liquid chromatographic quantitative structure–retention relationships

R Put, Y Vander Heyden - Analytica chimica acta, 2007 - Elsevier
In the literature an increasing interest in quantitative structure–retention relationships
(QSRR) can be observed. After a short introduction on QSRR and other strategies proposed …

Quantitative structure–retention relationships models for prediction of high performance liquid chromatography retention time of small molecules: endogenous …

K Goryński, B Bojko, A Nowaczyk, A Buciński… - Analytica chimica …, 2013 - Elsevier
Quantitative structure–retention relationship (QSRR) is a technique capable of improving the
identification of analytes by predicting their retention time on a liquid chromatography …