Results 171 to 180 of about 887,277 (392)
Hyperelastic Starch Hydrogel Configures Edible and Biodegradable All‐Components for Soft Robots
Hyperelastic starch hydrogel is tailored via a phase separation strategy of solvent‐antisolvent co‐modulation. The mechanical performance of starch hydrogel is widely tuned with maximum strains: 194.4–361.4%; maximum tensile stresses: 34–192 kPa; and Young's moduli: 36.0–205.8 kPa. Notably, the hydrogel achieves complete soil degradation within 24 days
Siyu Yao+7 more
wiley +1 more source
In this study, complexes of pregelatinized Chinese yam starch with ferulic acid (PCYS+FA) were prepared using a boiling water bath, with varying levels of Chinese yam starch (CYS) and ferulic acid (FA).
Sandu Xie+7 more
doaj +1 more source
A SILVER - STARCH - GELATINE METHOD FOR THE DEMONSTRATION OF SPIROCHETES IN SINGLE TISSUE SECTIONS [PDF]
A. S. Warthin
openalex +1 more source
Studies on methodology in dietary fibre analysis : a neutral detergent fibre method using glucoamylase : a thesis presented in partial fulfilment of the requirements for the degree of Master of Philosophy in Food Technology at Massey University [PDF]
The dietary fibre content of foods is conveniently and rapidly determined by the neutral and acid detergent methods devised originally by Van Soest and associates.
Sills, Victor Ernest
core
The artificial biosynthetic pathway potentially involved in biosynthesis of enfumafungin is first reconstructed in an optimized Aspergillus oryzae chassis with the increased site‐specific integration efficiency and shortened time for marker recycling, which requires an artificial fusion enzyme EfuA(TC)FsoA(GT).
Yaohui Gao+11 more
wiley +1 more source
NOTE ON RASK'S GRAVIMETRIC METHOD FOR THE ESTIMATION OF STARCH [PDF]
Arthur R. Ling, Francis E. Salt
openalex +1 more source
Starch as a determinant of plant fitness under abiotic stress.
Matthias Thalmann, Diana Santelia
semanticscholar +1 more source
Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang+3 more
wiley +1 more source