Thermostable and mesophilic α-amylase: Effects on wheat starch physicochemical properties and their applications in extruded noodles

Starch-based noodles: Current technologies, properties, and challenges

Starch noodles are gaining interest due to the massive popularity of gluten-free foods. Modified starch is generally used for noodle production due to the functional limitations of native starches. Raw materials, methods, key processing steps, additives, cooking, and textural properties determine the quality of starch noodles. The introduction of traditional, novel, and natural chemical additives used in starch noodles and their potential effects also impacts noodle quality. This review summarizes the current knowledge of the native and modified starch as raw materials and key processing steps for the production of starch noodles. Further, this article aimed to comprehensively collate some of the vital information published on the thermal, pasting, cooking, and textural properties of starch noodles. Technological, nutritional, and sensory challenges during the development of starch noodles are well discussed. Due to the increasing demands of consumers for safe food items with a long shelf life, the development of starch noodles and other convenience food products has increased. Also, the incorporation of modified starches overcomes the shortcomings of native starches, such as lack of viscosity and thickening power, retrogradation characteristics, or hydrophobicity. Starch can improve the stability of the dough structure but reduces the strength and resistance to deformation of the dough. Some technological, sensory, and nutritional challenges also impact the production process.

The modulatory roles and regulatory strategy of starch in the textural and rehydration attributes of dried noodle products

Noodles are popular staple foods globally, and dried noodle products (DNPs) have gained increasing attention due to recent changes in consumer diet behavior. Rapid rehydration and excellent texture quality are the two major demands consumers make of dried noodle products. Unfortunately, these two qualities conflict with each other: the rapid rehydration of DNPs generally requires a loose structure, which is disadvantageous for good texture qualities. This contradiction limits further development of the noodle industry, and overcoming this limitation remains challenging. Starch is the major component of noodles, and it has two main roles in DNPs. It serves as a skeleton for the noodle in gel networks form or acts as a noodle network filler in granule form. In this review, we comprehensively investigate the different roles of starch in DNPs, and propose strategies for balancing the conflicts between texture and rehydration qualities of DNPs by regulating the gel network and granule structure of starch. Current strategies in regulating the gel network mainly focused on the hydrogen bond strength, the orientation degree, and the porosity; while regulating granule structure was generally performed by adjusting the integrity and the gelatinization degree of starch. This review assists in the production of instant dried noodle products with desired qualities, and provides insights into promising enhancements in the quality of starch-based products by manipulating starch structure.

Microparticle prepared by chitosan coating on the extruded mixture of corn starch, resveratrol, and α-amylase controlled the resveratrol release

Microcapsule was developed by chitosan coating on the microparticle which was prepared by smashing the extruded mixture of corn starch, resveratrol, and α-amylase. In the preparation process, the low-temperature extrusion and α-amylase were employed to overcome the disadvantages of low gelatinization, dissolution, and poor hydration of extruded starch. Chitosan-coating retarded starch aging, improved the stability of microcapsules, delayed the release of resveratrol. Considering the bioactive functions of chitosan, microcapsules also obtained the functions of chitosan by chitosan coating. The chitosan coating and α-amylase addition improved the release ratio of resveratrol. CESRA (chitosan solution (2%) coating on the extruded mixture of corn starch, resveratrol, and α-amylase) released 86.8% resveratrol at 25 °C in six days chasing, and 85.3% resveratrol at 37 °C in 48 h chasing. Chitosan coating slightly improved the free radical scavenging activity of ABTS⁺. The particle size variation, SEM, XRD, and FT-IR were also employed to investigate the variation of morphology, crystal structure, and chemical composition.

Effect of Using Quinoa Flour (Chenopodium quinoa Willd.) on the Physicochemical Characteristics of an Extruded Pasta

Quinoa is a promising raw material for the production of foods with high nutritional quality. This study used quinoa flour (Chenopodium quinoa Willd.), egg white, and yucca starch to obtain an extruded pasta. By means of a proximate analysis, the nutritional content of the raw materials, uncooked and cooked pasta, was evaluated. The effects of quinoa flour on the protein composition, physical properties (color, texture, loss through cooking, water absorption, and swelling indices), moisture, DSC, and SEM were evaluated through its comparison with a commercial pasta (control) formulated with quinoa (PCQ). The values obtained during the study were subjected to a simple analysis of variance (ANOVA) to determine the interaction between the factors and the variables by using a statistical program. Incorporation of quinoa flour in the formulations (F1, F2, and F3) increased notoriously the protein content (p < 0.05) and decreased the carbohydrate content, and no significant differences were observed for lipids and ash. The energy value increased due to the essential amino acids present in quinoa. The values obtained for L∗, a∗, and b∗ increased with the increase in quinoa flour, and significant differences for b∗ (p < 0.05) were attributed to the characteristic color of quinoa, drying time, and moisture content. The lack of molecular interaction between starch and protein due to the conditions used in the extrusion process influenced the decrease in rupture strength, increase in the water absorption and swelling indices, and losses due to cooking (8 g/100 g) within an acceptable range. Consequently, affected by the enthalpy of fusion, the starch granules of the quinoa flour did not gelatinize, as observed in the SEM micrographs. The results obtained and the parameters used in the extrusion process influenced the characteristics of the pasta, indicating that quinoa flour is a promising raw material for obtaining gluten-free products.

Molecular strategies to enhance stability and catalysis of extremophile-derived α-amylase using computational biology

α-Amylase is the most significant glycoside hydrolase having applications in various industries. It cleaves the α,1-4 glucosidic linkages of polysaccharides like starch, glycogen to yield a small polymer of glucose in α-anomeric configuration. α-Amylase is produced by all the three domains of life but microorganisms are preferred sources for industrial-scale production due to several advantages. Enormous studies and research have been done in this field in the past few decades. Still, it is requisite to work on enzyme stability and catalysis, as it loses its functionality in extreme. As the enzyme loses its structural and catalytic property under extreme environmental conditions, it is mandatory to confer some potential strategies for enhancing enzyme behaviour in such conditions. This limitation of an enzyme can be overcome up to some extent by extremophiles. They serve as an excellent source of α-amylase with outstanding features. This review is an attempt to encapsulate some structure-based strategies for improving enzyme behaviour thereby enabling researchers to selectively amend any of the strategies as per requirement during upstream and downstream processing for higher enzyme yield and stability. Thus, it will provide some cutting-edge strategies for tailoring α-amylase producing organism and enzyme with the help of several computational biology tools.