Publication detail

COMPARATIVE MODELLING OF NANOFILTRATION PERFORMANCE USING RESPONSE SURFACE METHODOLOGY AND ARTIFICIAL NEURAL NETWORKS FOR PHARMACEUTICAL REMOVAL.

Authors: Ezeogu Nkechi | Cuhorka Jiří | Mikulášek Petr

Year: 2025

Type of publication: ostatní - článek ve sborníku

Name of source: MEMPUR 2025 : sborník abstraktů

Publisher name: Česká membránová platforma (CZEMP)

Place: Česká Lípa

Page from-to: nestránkováno

Titles:

Language	Name	Abstract	Keywords
eng	COMPARATIVE MODELLING OF NANOFILTRATION PERFORMANCE USING RESPONSE SURFACE METHODOLOGY AND ARTIFICIAL NEURAL NETWORKS FOR PHARMACEUTICAL REMOVAL.	This study investigates the performance of nanofiltration membranes, AFC 40 and AFC 80, for removing caffeine and paracetamol under varying operational conditions, including transmembrane pressure, feed concentration, and flow rate. Two predictive techniques were compared to model and optimize the rejection efficiencies.	Nanofiltration; Rejection; Flux; Response surface methodology; Artificial neural networks

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