Fungal Exopolysaccharides: Production and Biotechnological Industrial Applications in Food and Allied Sectors

A review of the fungal polysaccharides as natural biopolymers: Current applications and future perspective

As a unique natural resource, fungi are a sustainable source of lipids, polysaccharides, vitamins, proteins, and other nutrients. As a result, they have beneficial medicinal and nutritional properties. Polysaccharides are among the most significant bioactive components found in fungi. Increasing research has revealed that fungal polysaccharides (FPS) contain a variety of bioactivities, including antitumor, antioxidant, immunomodulatory, anti-inflammatory, hepatoprotective, cardioprotective, and anti-aging properties. However, the exact knowledge about FPS and their applications related to their future possibilities must be thoroughly examined to enhance a better understanding of this sustainable biopolymer source. Therefore, FPS' biological applications and their role in the food and feed industry, agriculture, and cosmetics applications were all discussed in this work. In addition, this review highlighted the mode of action of FPS on human diseases by regulating gut microbiota and discussed the mechanism of FPS as antioxidants in the living cell. The structure-activity connections of FPS were also highlighted and explored. Moreover, future perspectives were listed to pave the way for future studies of FPS applications. Hence, this study can be a scientific foundation for future FPS research and industrial applications.

Natural deep eutectic solvents for the extraction of lentinan from shiitake mushroom: COSMO-RS screening and ANN-GA optimizing conditions

Using natural deep eutectic solvents (NDES) for green extraction of lentinan from shiitake mushroom is a high-efficiency method. However, empirical and trial-and-error methods commonly used to select suitable NDES are unconvincing and time-consuming. Conductor-like screening model for realistic solvation (COSMO-RS) is helpful for the priori design of NDES by predicting the solubility of biomolecules. In this study, 372 NDES were used to evaluate lentinan dissolution capability via COSMO-RS. The results showed that the solvent formed by carnitine (15 wt%), urea (40.8 wt%), and water (44.2 wt%) exhibited the best performance for the extraction of lentinan. In the extraction stage, an artificial neural network coupled with genetic algorithm (ANN-GA) was developed to optimize the extraction conditions and to analyze their interaction effects on lentinan content. Therefore, COSMO-RS and ANN-GA can be used as powerful tools for solvent screening and extraction process optimization, which can be extended to various bioactive substance extraction.

Low calorie cocoa-based products: a short review

Globally, cocoa is considered an extensively consumed flavor across the food and beverage industry. However, the majority of cocoa products have a large amount of sugar and fat content. Therefore, manufacturers of cocoa-based products are focusing on the commercialization of healthier and innovative cocoa products that contain sugar and fat. High-quality and low-calorie cocoa products can be developed using the right ingredients which can replace fat and sugar without negative impact on the product characteristics. For sugar replacement nutritive sweeteners or sugar alcohols, non-nutritive sweeteners or high potency sweeteners and low digestibility carbohydrates are generally used. For fat substitution cocoa butter equivalents, cocoa butter replacers, cocoa butter substitutes along with vegetable fat and oil replacers are used. This review discusses the effect of sugar and fat substitution on the textural and rheological properties, sensory acceptance, and calorific value of the end cocoa-based products.