Prediction of overall yield of Gynura procumbens from ethanol-water + supercritical CO2 extraction using artificial neural network model-Reference-Cited by-同舟云学术

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Prediction of overall yield of Gynura procumbens from ethanol-water + supercritical CO2 extraction using artificial neural network model

Published:2022-05 Issue: Volume:5 Page:100175
ISSN:2666-0164
Container-title:Case Studies in Chemical and Environmental Engineering
language:en
Short-container-title:Case Studies in Chemical and Environmental Engineering

Author:

Idris Sitinoor Adeib^ORCID,Markom Masturah^ORCID,Abd Rahman Norliza,Mohd Ali Jarinah

Funder

Ministry of Higher Education, Malaysia

Universiti Kebangsaan Malaysia

Universiti Teknologi MARA

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Environmental Science (miscellaneous),General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference33 articles.

1. Supercritical fluids in separation and purification: a review;Manjare;Mater. Sci. Energy Technol.,2019

2. Supercritical CO2 extraction pilot plant design – towards IoT integration;Horvat;Teh. Vjesn.,2017

3. Solvent supercritical fluid technologies to extract bioactive compounds from natural sources: a review;Khaw;Molecules,2017

4. Scale-up criteria and economic analysis for supercritical fluid extraction of Phyllanthus niruri;Hassim;Chem. Eng. Process - Process Intensif,2018

5. Cosolvent selection for supercritical fluid extraction (SFE) of bioactive compounds from Orthosiphon stamineus;Mohamed-Mahmood;Sains Malays.,2018

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