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The purpose of this paper is to evaluate the physicochemical properties, fatty acids, tocopherols, and polyphenols of Algerian argan oil.

The argan oil was extracted from the kernel by an organic solvent, the n‐hexane. Several methods and techniques (spectrophotometric, titrimetric, refractometric, and chomrtographic (CPG/high‐performance liquid chromatographic – HPLC) were used to characterise to argan oil.

The argan oil was yellow oil with faintly marked smell and flavour. The physicochemical analysis showed that the oil was pure, fresh, not siccative and rich in C₁₈ medium chain unsaturated fatty acids, particularly the oleic acid. A HPLC and gaseous phase chromatography methods were developed for the quali‐quantitative analysis of α‐tocopherol and fatty acids composition, respectively.

This highlight shows that the composition of argan oil is oleic‐linoleic type rich in α‐tocopherol (20 mg/kg). The phenolic fraction known for its antioxidant properties ranges from 30 to 50 mg/kg. The argan oil is mainly rich in antioxidant compounds such as phenolic compounds and α‐tocopherol. Argan oil is rich in unsaturated fatty acids, tocopherol and phenolic compounds.

Considering its rich composition in antioxidant compounds and essential fatty acid, argan oil has been used for a long time as a food and for body care, prevention and treatment of cardiovascular and some cancers diseases. A deep knowledge of the chemical composition of argan oil will certainly show that is has a high‐nutritional potentiality and is claimed to have favourable medicinal and cosmetic properties.

No such research has been carried out on the argan oil extracted from Argania spinosa (L.) of Algeria. The present work was undertaken to study the physicochemical and nutritional properties of the argan oil.

The investigation uses design of experiments (DOE) approach to determine the optimal parameters of photo resist (PR) coating process for photolithography in wafer manufacturing.

Plans of experiments via nine experimental runs are based on the orthogonal arrays to determine the optimum factor condition. In this study, the mean thickness and the uniformity of thickness of the PR are adopted as the quality targets of the PR coating process. This partial factorial design of the DOE method provides an economical and systematic method of determining the optimal process parameter.

A model for the mathematical prediction of the mean thickness and the uniformity of thickness for the PR has been developed in terms of the PR temperature, the chamber humidity, the spinning rate, and the dispensation rate by means of the DOE method. The PR temperature and the chamber humidity are found to be the most significant factors in both the mean thickness and the uniformity of thickness for a PR coating process.

This analysis is valid of dynamic dispensing of the specific type of PR with constant material properties and applying onto a wafer size of eight inches.

A systematic method has been developed to find suitable combinations of process parameters; hence, the traditional approach such as the trial‐and‐error method that is very time‐consuming can be avoided. Furthermore, the efficiency of designs the parameter and the quality of the products are greatly improved.

This approach can be easily applied to design an optimal parameter setting to meet various requirements of different types of products.