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  • Adulteration detection in cactus seed oil: Integrating analytical chemistry…
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Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches

GND
1252344775
Affiliation
Max Rubner-Institut (MRI), Federal Research Institute of Nutrition and Food, Department of Safety and Quality of Cereals, Germany
El Harkaoui, Said; Ortiz Cruz, Cristina; Roggenland, Aaron;
Affiliation
Thünen-Institut, Präsidial Büro
Schneider, Micha; Rohn, Sascha; Drusch, Stephan;
GND
113399677
Affiliation
Max Rubner-Institut (MRI), Federal Research Institute of Nutrition and Food, Department of Safety and Quality of Cereals, Germany
Matthäus, Bertrand

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Published in:
Current research in food science
Vol. 10, (2025), articlenr.:100986 p. 1-10
Volume:
10, (2025)
Date Issued:
30.01.2025
DOI:
10.1016/j.crfs.2025.100986
Language:
English
Type of Resource:
Text
Publisher:
Elsevier BV
DDC subject of DNB:
610 Medical sciences, Medicine, Nutrition
URL:
https://www.sciencedirect.com/science/article/pii/S2665927125000176
Link to Raw Object:
https://www.sciencedirect.com/science/article/pii/S2665927125000176/pdfft?md5=404b5ff590f1808d3339966a0d0f896f&pid=1-s2.0-S2665927125000176-main.pdf
Institution:
Max Rubner-Institut, Department of Safety and Quality of Cereals
Physical Location:
W3447
Institution:
Thünen-Institut, Zentralbereich und Stabstellen, Präsidialbüro

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