Introduction to Bioactive Phytochemicals from Vegetable Oil and Oilseed Processing By-products

Ramadan, Mohamed Fawzy

doi:10.1007/978-3-030-63961-7_1-1

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…LED uorescent lighting, charge coupled matrix (CCD) and arti cial neural network (ANN) are used to classify oils such as canola, sun ower, corn and soybean using diluted oil samples. Previously, this type of research was based on more time-consuming analytical chemistry and mathematical method [20,21,22,23], applying principal component analysis (PCA), principal component regression (PCR), partial least squares regression analysis (PLS) and arti cial neural networks (ANN) [24].…”

Section: Introductionmentioning

confidence: 99%

Python algorithm for Calculation of Total Phenolic Compounds in Vegetable Oils with Smartphone Image analysis

Vucane,

Cinkmanis,

Sabovics

2024

Preprint

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In this research, a Python algorithm was developed that calculated one of the total concentrations of phenol in vegetable oils using the RGB colour system. The algorithm converts data obtained in the RGB colour system into absorbance values using NumPy, Pandas, Matplotlib and SciPy libraries. It allows for complex data calculations and analyses that are particularly accurate and more efficient than traditional methods such as MS Excel. Algorithm development is divided into six stages: library import, user data input and processing, absorbance calculations, linear regression and calibration curve drawing, data analysis and saving results in Excel format. The algorithm offers flexible use in both local Python development environments and online platforms such as Kaggle (https://www.kaggle.com/). It can also be used in the analyses of other plant extracts or chemical substances, where interpretations of RGB colour system data are used as a basis. This algorithm opens up new possibilities in scientific data analysis by taking advantage of modern technology and programming language.

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Section: Introductionmentioning

confidence: 99%

Python algorithm for Calculation of Total Phenolic Compounds in Vegetable Oils with Smartphone Image analysis

Vucane,

Cinkmanis,

Sabovics

2024

Preprint

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Valorisation of Raspberry Seeds in Cosmetic Industry-Green Solutions

Ćirić,

Dabić Zagorac,

Sredojević

et al. 2024

Pharmaceutics

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The fruit processing industry generates large quantities of by-products well known to be rich in bioactive compounds with numerous nutritional properties and beneficial effects for human health. We developed a strategy to valorise raspberry seeds and obtain valuable ingredients with potential application in cosmetic skincare formulas. Cold press extraction technology was applied to extract oil, and the remaining defatted raspberry seed cake was treated with three proline based deep eutectic solvents (DES) to extract polyphenols. The most potent was proline/citric acid extract, with free and total ellagic acid content (52.4 mg/L and 86.4 mg/L), total phenolic content (TPC, 550.1 mg GAE/L) and radical scavenging activity (RSA, 4742.7 mmol TE/L). After the direct mixing of the extract and after encapsulation with starch as a carrier, the skincare emulsion and microemulsion were characterised by irritation potential (Zein test), transepidermal water loss (TEWL), red blood cell (RBC), and DPPH antioxidant test. The resulting preparations were of improved quality in comparison to the control hand cream, with a low skin irritation effect, lower TEWL, and higher antioxidant potential. This work complies with circular economy principles and green technology standards, and represents the efficient model on how to reuse natural resources through waste minimization.

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The Study of the Heterogeneity of the Qualities of Argan Oils and Pomaces from Different Cooperatives in the Essaouira Region (Morocco)

et al. 2023

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Several studies have been conducted on the factors influencing the quality of Argan oil, including the geographical origin and extraction method denounced by Cayuela et al. 6) , the storage of Argan almonds 7) , and filtration, which negatively influences the oxidative stability and the quality parameters of Argan oil, more broadly, the peroxide index parameter 8) . In addition, other factors influence the quality of Argan products, including artisanal and modern extraction processes and roasting 9,10) .The deterioration of Argan oil is a result of several factors, including the storage conditions and auto-oxidation that is due to the initial composition of Argan oil, the quality indices, and the content of minor components dispersed in the unsaponifiable fraction of Argan oil, including the tocopherols, minerals, chlorophylls

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Introduction to Bioactive Phytochemicals from Vegetable Oil and Oilseed Processing By-products

Cited by 3 publications

References 18 publications

Python algorithm for Calculation of Total Phenolic Compounds in Vegetable Oils with Smartphone Image analysis

Python algorithm for Calculation of Total Phenolic Compounds in Vegetable Oils with Smartphone Image analysis

Valorisation of Raspberry Seeds in Cosmetic Industry-Green Solutions

The Study of the Heterogeneity of the Qualities of Argan Oils and Pomaces from Different Cooperatives in the Essaouira Region (Morocco)

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