NDLI: Prediction of extraction efficiency in supported liquid membrane with a stagnant acceptor phase by means of artificial neural network.

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Prediction of extraction efficiency in supported liquid membrane with a stagnant acceptor phase by means of artificial neural network.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Michel, Monika Chimuka, Luke Kowalkowski, Tomasz Cukrowska, Ewa M. Buszewski, Boguslaw
Description	Country affiliation: Poland Author Affiliation: Michel M ( Plant Protection Institute-NRI, Poznan, Poland.)
Abstract	An artificial neural network model of supported liquid membrane extraction process with a stagnant acceptor phase is proposed. Triazine herbicides and phenolic compounds were used as model compounds. The model is able to predict the compound extraction efficiency within the same family based on the octanol-water partition coefficient, water solubility, molecular mass and ionisation constant of the compound. The network uses the back-propagation algorithm for evaluating the connection strengths representing the correlations between inputs (octanol-water partition coefficients logP, acid dissociation constant pK(a), water solubility and molecular weight) and outputs (extraction efficiency in dihexyl ether and undecane as organic solvents). The model predicted results in good agreement with the experimental data and the average deviations for all the cases are found to be smaller than ±3%. Moreover, standard statistical methods were applied for exploration of relationships between studied parameters.
File Format	HTM / HTML
ISSN	16159306
Issue Number	5
Volume Number	36
e-ISSN	16159314
Journal	Journal of Separation Science
Language	English
Publisher	Wiley-VCH
Publisher Date	2013-03-01
Publisher Place	Germany
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Analytical Discipline Chemistry Herbicides Isolation & Purification Liquid-liquid Extraction Standards Neural Networks (computer) Analysis Methods Principal Component Analysis Solubility Journal Article Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Analytical Chemistry Filtration and Separation

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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