Rheology and influence factor of low-concentration Konjac gum solutions

Abstract

Rheological properties of low-concentration Konjac gum and impacts of concentration, shearing rate, pH value and stirring time on its viscosity were studied. The results show that the viscosity of low-concentration Konjac gum increases with the increase of its concentration. The solution presents pseudo-plasticity fluid, which shows the characters of shear thinning as follows: first, its viscosity decreases gradually as the temperature increases, and then increases with the increase of temperature. The viscosity decreases sharply at both acid and alkaline conditions, indicating that it is influenced apparently by pH value. And the viscosity of low-concentration Konjac gum is also impacted by the stirring time.

Terahertz Spectral Characteristics of Konjac Gum Determined via Microfluidic Technology

“…With an increase in the temperature, the molecular thermal movement intensi es, and the aggregate size decreases. Certain KGM molecules break away from KGM macromolecular clusters because of hydrogen bond fracture [16], forming small konjac gum molecular clusters. e vibration and rotation of molecules separated from hydrogen bonds are strengthened because of their thermal movement.…”

“…e results show that an increase in the konjac gum concentration leads to the intertwining of KGM polymers and increase in the resistance of the uid and the viscosity. However, when the concentration of konjac gum solution is low (<0.4%), the increase in the viscosity is relatively small [16]. With the increase in viscosity, the forces between molecular chains increase, the number of hydrogen bonds increases, and consequently, the THz absorption of konjac gum rises [10].…”

“…Di erent Temperatures. Konjac gum solution was prepared by adding 0.05 g konjac our (Hubei Konson Konjac Gum Co., Ltd) to 50 mL of deionized water at room temperature (25 °C), and then, the mixture was evenly stirred and heated in a water bath, resulting in 0.1% konjac gum solution [16].…”

Dynamic Occlusion Modeling and Clearance Control of the Visual Field of Curved Highway Roadside Landscape

“…Zhang [12] proposed that the blocked roadside landscape would leave a hidden danger to traffic safety. Wang et al [13] simulated the spatial scale sensitivity of drivers to roadside structures through mathematical model simulation, in which highly sensitive was found within 50 m; sensitive for 50-100m; and less sensitive beyond 100 m. Xu et al classified [14] three highway landscape sensitive areas by establishing a model and determined that the total size of the highway landscape sensitive area is 545 m for a two-way four-lane highway. The distances of the first, second, and third sensitive areas are 55 m, 260 m, and 230 m, respectively; and the distance to the subgrade edge in the first sensitive area is 15 m.…”