Structural and Rheological Characteristics of Alginate from Sargassum cristaefolium Extracted by Twin Screw Extruder

This study aimed to investigate the effects of process extrusion on the characteristics of Sargassum cristaefolium sodium alginate (SCSA) extracted using twin-screw extruder. Box-Behnken Design (BBD) from response surface methodology (RSM) was established to understand the effects of temperature, screw speed, and pH on the multiple-responses of alginate characteristics including intrinsic viscosity, yield, and molecular weight. The results revealed that temperature, screw speed, and pH significantly affected (P < .05) all responses. The optimum extraction condition was found at temperature of 58.18°C, screw speed of 77.99 rpm, and pH 10.11. At this condition, the response of residence time distribution was 7.07 ± 0.029 min, yield of 34.01 ± 0.12%, intrinsic viscosity of 460.13 ± 14.75 mL/g, and molecular weight of 217.94 ± 7.14 × 10³ g/mol. This alginate had mannuronic acid to guluronic acid (M/G) ratio of 0.28, and the L-guluronic acid block was 0.78, which was higher than the D-mannuronic acid block. Rheological characterization of SCSA in aqueous solution was shear-thinning pseudoplastic, and alginate gel in 1 M CaCl₂ was more elastic than liquid.     

Through the genetic bottleneck: O. rufipogon as a source of trait-enhancing alleles for O. sativa

This paper summarizes results from a decade of collaborative research using advanced backcross (AB) populations to a) identify quantitative trait loci (QTL) associated with improved performance in rice and to b) clone genes underlying key QTLs of interest. We demonstrate that AB-QTL analysis is capable of (1) successfully uncovering positive alleles in wild germplasm that were not obvious based on the phenotype of the parent (2) offering an estimation of the breeding value of exotic germplasm, (3) generating near isogenic lines that can be used as the basis for gene isolation and also as parents for further crossing in a variety development program and (4) providing gene-based markers for targeted introgression of alleles using marker-assisted-selection (MAS). Knowledge gained from studies examining the population structure and evolutionary history of rice is helping to illuminate a long-term strategy for exploiting and simultaneously preserving the well-partitioned gene pools in rice.