Classification of oils and margarines by FTIR spectroscopy in tandem with machine learning-Reference-Cited by-同舟云学术

Classification of oils and margarines by FTIR spectroscopy in tandem with machine learning

Published:2024-01 Issue: Volume:431 Page:137077
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Tachie Christabel Y.E.,Obiri-Ananey Daniel,Alfaro-Cordoba Marcela^ORCID,Tawiah Nii Adjetey,Aryee Alberta N.A.^ORCID

Funder

National Institute of Food and Agriculture

U.S. Department of Agriculture

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference42 articles.

1. Compositional Analyses and Shelf-Life Modeling of Njangsa (Ricinodendron heudelotii) Seed Oil Using the Weibull Hazard Analysis;Abaidoo-Ayin;Journal of Food Science,2017

2. Food Bioscience Development of protein isolate-alginate-based delivery system to improve oxidative stability of njangsa (Ricinodendron heudelotii) seed oil;Akonjuen;Food Bioscience,2023

3. Predicting the Presence of Heart Diseases using Comparative Data Mining and Machine Learning Algorithms;Ananey-Obiri;International Journal of Computer Applications,2020

4. Quality characteristics and volatile compounds of oil extracted from njangsa seed;Arrey;JAOCS, Journal of the American Oil Chemists’ Society,2022

5. Analytical Authentication of Butter Using Fourier Transform Infrared Spectroscopy Coupled with Chemometrics;Bodner;International Journal of Nutrition and Food Engineering,2020

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