Soil spectroscopy with the use of chemometrics, machine learning and pre-processing techniques in soil diagnosis: Recent advances–A review

I Barra, SM Haefele, R Sakrabani, F Kebede - TrAC Trends in Analytical …, 2021 - Elsevier
Over the past two decades soil spectroscopy, particularly, in the infrared range, is becoming
a powerful technique to simplify analysis relative to the traditional chemical methods. It is …

Argan oil: chemical composition, extraction process, and quality control

S Gharby, Z Charrouf - Frontiers in Nutrition, 2022 - frontiersin.org
Argan oil is considered a relatively international product exported from Morocco, although
different companies in Europe and North America distribute argan oil around the globe …

The physicochemical properties of five vegetable oils exposed at high temperature for a short-time-interval

L Mitrea, BE Teleky, LF Leopold, SA Nemes… - Journal of Food …, 2022 - Elsevier
The objective of this study was to evaluate the physicochemical characteristics of five
vegetable oils exposed to high temperatures for a short time interval. Sunflower, rapeseed …

Assessment of quality and efficiency of cold-pressed oil from selected oilseeds

A Kabutey, D Herák, Č Mizera - Foods, 2023 - mdpi.com
In this present study, an oil press was used to process 200 g each of sesame, pumpkin, flax,
milk thistle, hemp and cumin oilseeds in order to evaluate the amount of oil yield, seedcake …

Estimating soil properties and nutrients by visible and infrared diffuse reflectance spectroscopy to characterize vineyards

JR Rodríguez-Pérez, V Marcelo, D Pereira-Obaya… - Agronomy, 2021 - mdpi.com
Visible, near, and shortwave infrared (VIS-NIR-SWIR) reflectance spectroscopy, a cost-
effective and rapid means of characterizing soils, was used to predict soil sample properties …

Diving deep into the data: a review of deep learning approaches and potential applications in foodomics

LC Class, G Kuhnen, S Rohn, J Kuballa - Foods, 2021 - mdpi.com
Deep learning is a trending field in bioinformatics; so far, mostly known for image processing
and speech recognition, but it also shows promising possibilities for data processing in food …

Applications of multivariate data analysis in shelf life studies of edible vegetal oils–A review of the few past years

S Martin-Torres, L Ruiz-Castro… - Food Packaging and …, 2022 - Elsevier
The physical-chemical and organoleptic properties of vegetal oils are subject to frequent
change caused by different degradation process. Hence, producers must provide accurate …

Innovation of argan (Argania spinosa (L.) Skeels) products and byproducts for sustainable development of rural communities in Morocco. A systematic literature …

A Santoro, V Ongoma, M Ait el Kadi, F Piras… - Biodiversity and …, 2023 - Springer
Argan tree is endemic of Moroccan arid regions, providing socioeconomic and cultural
benefits since ancient times. This study identifies the emerging threats for the argan forest …

Comparative study of three fingerprint analytical approaches based on spectroscopic sensors and chemometrics for the detection and quantification of argan oil …

A El Orche, O Elhamdaoui, A Cheikh… - Journal of the …, 2022 - Wiley Online Library
BACKGROUND Argan oil is one of the purest and rarest oils in the world, so that the addition
of any further product is strictly prohibited by international regulations. Consequently, it is …

The detection of glycidyl ester in edible palm-based cooking oil using FTIR-chemometrics and 1H NMR analysis

KM Goh, M Maulidiani, R Rudiyanto, F Abas, OM Lai… - Food Control, 2021 - Elsevier
Glycidyl ester (GE) is a process contaminant formed during the palm oil refining process. In
this study, 156 spectra of palm-based cooking oilwere recorded by Fourier transform infrared …