Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches
Economically motivated adulteration threatens both consumer rights and market integrity, particularly with high-value cold-pressed oils like cactus seed oil (CO). This study proposes a machine learning model that integrates analytical measurements, data simulations, and classification techniques to...
Saved in:
Main Authors: | Said El Harkaoui, Cristina Ortiz Cruz, Aaron Roggenland, Micha Schneider, Sascha Rohn, Stephan Drusch, Bertrand Matthäus |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Current Research in Food Science |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2665927125000176 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prickly Pear Cactus Control in Pastures
by: Brent Sellers, et al.
Published: (2020-12-01) -
Prickly Pear Cactus Control in Pastures
by: Brent Sellers, et al.
Published: (2020-12-01) -
Efficiency comparison of natural coagulants (Cactus pads and Moringa seeds) for treating textile wastewater (in the case of Kombolcha textile industry)
by: Getahun Demeke Worku, et al.
Published: (2025-02-01) -
Calcium-Rich Biochar Derived from Cactus Feedstock and Its Efficient Adsorption Properties for Industrial Dye
by: Assia Maaoui, et al.
Published: (2025-01-01) -
Variation Comparison of OLS and GLS Estimators using Monte Carlo Simulation of Linear Regression Model with Autoregressive Scheme
by: Sajid AliKhan, et al.
Published: (2021-02-01)