-Protein rich meal is a valuable co-product of canola/rapeseed oil extraction. Seed storage proteins that include cruciferin (11S) and napin (2S) dominate the protein complement of canola while oleosins, lipid transfer proteins and other minor proteins of non-storage nature are also found. Although oil-free canola meal contains 36-40% protein on a dry weight basis, non-protein components including fibre, polymeric phenolics, phytates and sinapine, etc. of the seed coat and cellular components make protein less suitable for food use. Separation of canola protein from non-protein components is a technical challenge but necessary to obtain full nutritional and functional potential of protein. Process conditions of raw material and protein preparation are critical of nutritional and functional value of the final protein product. The storage proteins of canola can satisfy many nutritional and functional requirements for food applications. Protein macromolecules of canola also provide functionalities required in applications beyond edible uses; there exists substantial potential as a source of plant protein and a renewable biopolymer. Available information at present is mostly based on the protein products that can be obtained as mixtures of storage protein types and other chemical constituents of the seed; therefore, full potential of canola storage proteins is yet to be revealed.Keywords: Canola / rapeseed storage proteins / cruciferin / napin / protein digestibility / functional properties Résumé -Protéines de canola et de colza : fonctionnalités et nutrition. Les tourteaux riches en protéines repré-sentent un coproduit de valeur de l'extraction de l'huile de canola/colza. Dans la graine, les protéines de stockage, notamment la cruciférine (11S) et la napine (2S), dominent la fraction protéique du canola, mais des oléosines, des protéines de transfert de lipides et d'autres protéines mineures non dédiées au stockage sont également présentes. Bien que le tourteau de canola déshuilé contienne 36-40 % de protéines sur poids sec, la présence de composants non protéiques, dont les fibres, les polymères phénoliques, les phytates, la sinapine, etc. issus de l'enveloppe de la graine et des composants cellulaires rendent les protéines moins appropriées à une utilisation en alimentation humaine. Cette revue présente les connaissances actuelles en termes de valeur nutritionnelle et fonctionnelle des protéines issues des graines de canola. La séparation des protéines de canola des composants non protéiques représente un défi technique mais nécessaire pour libérer totalement le potentiel nutritionnel et fonctionnel de la protéine. Les protéines de stockage de canola peuvent satisfaire un grand nombre d'exigences nutritionnelles et fonctionnelles pour des applications alimentaires. Les macromolécules protéiques de canola offrent également des fonctionnalités requises dans les applications dépassant les seules utilisations alimentaires ; un potentiel important existe en tant que source de protéines végétales et de biopol...

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The main objective of this research was to compare the retention of antioxidant activity and total anthocyanin content of Saskatoon berries dried by freeze drying, microwave-vacuum drying, thin layer hot air drying and vacuum drying. Antioxidant activity of berry samples was determined by DPPH radical scavenging and ABTS radical scavenging, and the pH differential method was used to determine total anthocyanin content of the berry samples. The results showed that the freeze dried Saskatoon berries exhibited the highest retention of anthocyanin and antioxidant activity among the dried samples, followed by microwave-vacuum dried berries, thin layer hot air dried berries and vacuum dried berries. There were significant differences between the berry samples at P<0.05. DPPH radical scavenging and ABTS radical scavenging were correlated linearly with an R 2 value of 0.99 at P<0.05 showing their effectiveness for the determination of the antioxidant activity of the Saskatoon berries. However, the DPPH radical scavenging assay was more effective than the ABTS radical scavenging assay. The results also showed that antioxidant activity of the berries was highly correlated with the total anthocyanin content of the fruit. The reduction of anthocyanin in dried berry samples was linearly correlated with the reduction of DPPH radical scavenging with an R 2 value of 0.97 at P<0.05 and, also, linearly correlated with the reduction of ABTS radical scavenging with an R 2 value of 0.88 at P<0.05.

BACKGROUND: Compared with agriculture, microalgae culture promises to be a novel way of producing lipids for both food consumption and transportation fuel (biodiesel) purposes while using a minimal amount of land area. A circulating loop photobioreactor has been used to study the growth kinetics and lipid yield of Chlorella vulgaris growing on carbon dioxide as the sole source of carbon.

Coumarin found in Cuscuta reflexa (a medicinal herb) is a phytochemical that possesses blood-thinning, anti-fungicidal and anti-tumor activities, and increases the blood flow in the veins and decreases capillary permeability. Supercritical fluid carbon dioxide extraction is an effective method for extraction and separation of organic compounds. Coumarin was extracted using supercritical fluid carbon dioxide associated with a small amount of a co-solvent methanol to increase the selectivity of carbon dioxide and identified by high-performance liquid chromatography comparing with authentic coumarin standard. Determination of proper extracting temperature, time, and pressure is essential for the maximum extract of coumarin yield. Coumarin was extracted under different extraction conditions of temperature (35-75°C), time (30-150 min), and pressure (15,160-34,450 kPa). Central composite rotate design was used to plan the experimental extraction conditions. The highest yield of coumarin was 90.13±0.11 (µg/g), while extraction was done at 55°C for 150 min under 24,805 kPa. A feedforward multilayer backpropagation artificial neural network (ANN) model was developed for the prediction of coumarin yield (µg/g), where input variables were temperature, time, and pressure. Several configurations were evaluated while developing the optimal ANN model. The optimal ANN model consisted of one hidden layer and five neurons. This model was able to predict coumarin yield quantitatively. Prediction of coumarin yields using the ANN model was proven to be a simple, convenient, and accurate method.