Ensemble machine learning as a mathematical approach to predict high-voltage electric field-assisted removal of color and oxidative indices from soybean oil using the activated porous electrodes-Reference-Cited by-同舟云学术

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Ensemble machine learning as a mathematical approach to predict high-voltage electric field-assisted removal of color and oxidative indices from soybean oil using the activated porous electrodes

Published:2024-04 Issue: Volume:198 Page:115983
ISSN:0023-6438
Container-title:LWT
language:en
Short-container-title:LWT

Author:

Mousavifard Maryam,Abedi Elahe^ORCID,Alirezalu Kazem

Publisher

Elsevier BV

Reference70 articles.

1. A new ultrasound-assisted bleaching technique for impacting chlorophyll content of cold-pressed hempseed oil;Aachary;LWT-Food Science & Technology,2016

2. Kinetic, isotherm and thermodynamic investigations on adsorption of trace elements and pigments from soybean oil using high voltage electric field-assisted bleaching: A comparative study;Abedi;Process Biochemistry,2020

3. The potential use of ultrasound-assisted bleaching in removing heavy metals and pigments from soybean oil using kinetic, thermodynamic and equilibrium modeling;Abedi;Environmental Science and Pollution Research,2021

4. Horn ultrasonic-assisted bleaching of vegetable oils with various viscosities as a green process: Computational fluid dynamics simulation of process;Abedi;Industrial Crops and Products,2020

5. Optimisation of soya bean oil bleaching by ultrasonic processing and investigate the physico-chemical properties of bleached soya bean oil;Abedi;International Journal of Food Science and Technology,2015

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