𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Development of Gradient Retention Model in Ion Chromatography. Part I: Conventional QSRR Approach

✍ Scribed by Ukić, Šime; Novak, Mirjana; Žuvela, Petar; Avdalović, Nebojša; Liu, Yan; Buszewski, Bogusław; Bolanča, Tomislav

Book ID
125353946
Publisher
Springer
Year
2014
Tongue
English
Weight
722 KB
Volume
77
Category
Article
ISSN
0009-5893

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Application of artificial neural network
Application of artificial neural networks for gradient elution retention modelling in ion chromatography
✍ Tomislav Bolanča; Štefica Cerjan-Stefanović; Melita Regelja; Hrvoje Regelja; Sve 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 163 KB

## Abstract Gradient elution in ion chromatography (IC) offers several advantages: total analysis time can be significantly reduced, overall resolution of a mixture can be increased, peak shape can be improved (less tailing) and effective sensitivity can be increased (because there is little variat

Development of a model for predicting re
Development of a model for predicting retention times in solvent-gradient micellar electrokinetic capillary chromatography
✍ A. Craig Powell; Michael J. Sepaniak 📂 Article 📅 1990 🏛 John Wiley and Sons 🌐 English ⚖ 599 KB

## Abstract Instrumentation and a computational method are described that are capable of predicting retention times of solutes separated by solvent‐gradient micellar electrokinetic capillary chromatography (MECC). Theoretical predictions are based on capacity factor, electroosmotic flow rate, and m