Texture of Wheat Bread Improved by α-Amylase and Glucose Oxidase

2011 ◽  
Vol 236-238 ◽  
pp. 35-38
Author(s):  
Jie Zeng ◽  
Hai Yan Gao ◽  
Lei Jin ◽  
Zhao Pei Zhang ◽  
Hui Rong Zhang
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Glucose Oxidase ◽  
Profile Analysis ◽  
Textural Properties ◽  
Wheat Bread ◽  
Electron Micrograph ◽  
Scanning Electron Micrograph ◽  
Texture Profile ◽  
Scanning Electron

The effects of α-amylase and glucose oxidase as bread improvers on the textural properties of bread were evaluated by texture profile analysis and Scanning electron micrograph. It was found that α-amylase and glucose oxidase could retard the bread aging. And Scanning electron microscopy showed that wheat bread with the addition of the enzymes exhibited the microstructures with the smoother surfaces. Therefore, α-amylase and glucose oxidase could be considered as the potential texture modifier for baked food.

The Effect of Mesona blumes Gum on the Quality and Staling of Wheat Bread

2014 ◽  
Vol 962-965 ◽  
pp. 1258-1266 ◽  
Author(s):  
Ming Liu ◽  
Tao Feng
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Profile Analysis ◽  
Wheat Bread ◽  
Bread Staling ◽  
Height Ratio ◽  
Scanning Calorimetry ◽  
Texture Profile ◽  
Pore Texture ◽  
Scanning Electron

As a hydrophilic polysaccharide, MesonaBlumes gum (MBG) -enables to improve the quality and retard the staling of breads. The purpose of this work was to evaluate the effect of MBG on the enhancement of the quality and the staling of wheat breads. The bakery samples were stored in a polyethylene bag for 1, 2, 3, and 4 days at 25oC. Our findings indicated that MBG can improve the parameters such as width/height ratio, specific volume and moisture content of wheat breads. The texture profiles (hardness, cohesiveness, springing, chewiness) were measured through texture profile analysis (TPA). The results of differential scanning calorimetry (DSC) and TPA revealed that MBG can retard bread staling, further prolonging its shelf life. The microstructure of bread was analyzed by the scanning electron microscopy (SEM), illustrating that MBG have the ability to enhance the gelatinization of starch with a dense, uniform and small size pore texture.

Barley in udon noodles Tallarines elaborados con cebada

1997 ◽  
Vol 3 (6) ◽  
pp. 423-435 ◽  
Author(s):  
B.-K. Baik ◽  
Z. Czuchajowska
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Wheat Flour ◽  
Profile Analysis ◽  
Cooking Time ◽  
Texture Profile Analysis ◽  
Texture Profile ◽  
Internal Structures ◽  
Wheat Flours ◽  
Scanning Electron

Abraded (up to 20%) ground naked non-waxy and waxy barleys were blended with wheat flours. Amylograph peak temperatures of wheat/barley blends (85:15) decreased by 1.5 °C with non- waxy barley and by 3.5 °C with waxy barley. Peak viscosities of wheat flours was increased by the addition of non-waxy barley and decreased by the addition of waxy barley. Adding either non-waxy or waxy barley increased breakdown viscosities. Texture profile analysis (TPA) para meters of udon noodles prepared from wheat-barley blends were largely unaffected by non-waxy barley, but were lowered by waxy barley and by potato, corn or barley starches. Whereas incor poration of increasingly abraded non-waxy barley had little effect on the TPA parameters of udon noodles, addition of increasingly abraded waxy barley decreased hardness and chewiness of udon noodles. A shorter cooking time is required to cook noodles from wheat-barley blends (as indicated by lower peak viscosity temperatures and more open internal structures of noodles, as seen by scanning electron microscopy) than from wheat flour. Extent of colour darkening of udon noodles was reduced as the added barley flours were obtained from increasingly abraded grain.

scholarly journals Textural Properties and Microstructure of Commercial Fish Jelly Products (Kamaboko) by a Natural Scanning Electron Microscopy.

2002 ◽  
Vol 49 (7) ◽  
pp. 447-453 ◽  
Author(s):  
Katsuji Morioka ◽  
Mohammed Ismail Hossain ◽  
Takeshi Matsui ◽  
Satoshi Kubota ◽  
Yoshiaki Itoh
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Textural Properties ◽  
Commercial Fish ◽  
Scanning Electron

Automated Quantitative Rare Earth Elements Mineralogy by Scanning Electron Microscopy

2016 ◽  
Vol 1 (9) ◽  
Author(s):  
Sven Sindern ◽  
F. Michael Meyer
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Image Analysis ◽  
Rare Earth ◽  
Rare Earth Elements ◽  
Textural Properties ◽  
Mineral Matter ◽  
Quantitative Mineralogy ◽  
Cost Efficient ◽  
Scanning Electron

AbstractIncreasing industrial demand of rare earth elements (REEs) stems from the central role they play for advanced technologies and the accelerating move away from carbon-based fuels. However, REE production is often hampered by the chemical, mineralogical as well as textural complexity of the ores with a need for better understanding of their salient properties. This is not only essential for in-depth genetic interpretations but also for a robust assessment of ore quality and economic viability. The design of energy and cost-efficient processing of REE ores depends heavily on information about REE element deportment that can be made available employing automated quantitative process mineralogy.Quantitative mineralogy assigns numeric values to compositional and textural properties of mineral matter. Scanning electron microscopy (SEM) combined with a suitable software package for acquisition of backscatter electron and X-ray signals, phase assignment and image analysis is one of the most efficient tools for quantitative mineralogy. The four different SEM-based automated quantitative mineralogy systems, i.e. FEI QEMSCAN and MLA, Tescan TIMA and Zeiss Mineralogic Mining, which are commercially available, are briefly characterized.Using examples of quantitative REE mineralogy, this chapter illustrates capabilities and limitations of automated SEM-based systems. Chemical variability of REE minerals and analytical uncertainty can reduce performance of phase assignment. This is shown for the REE phases parisite and synchysite. In another example from a monazite REE deposit, the quantitative mineralogical parameters surface roughness and mineral association derived from image analysis are applied for automated discrimination of apatite formed in a breakdown reaction of monazite and apatite formed by metamorphism prior to monazite breakdown.SEM-based automated mineralogy fulfils all requirements for characterization of complex unconventional REE ores that will become increasingly important for supply of REEs in the future.

Fabrication of Pd-Doped SiO2 Aerogels by Radiation Method

2016 ◽  
Vol 847 ◽  
pp. 308-312
Author(s):  
Ming Long Zhong ◽  
Chao Yang Wang ◽  
Zhi Bing Fu ◽  
Yong Zeng ◽  
Qi Fang ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Textural Properties ◽  
Pd Nanoparticles ◽  
X Ray Diffraction ◽  
X Ray ◽  
Radiation Method ◽  
Surface Areas ◽  
Transmission Electron ◽  
Scanning Electron

The radiation method was studied to prepare Pd-doped SiO2 aerogels with different contents. The textural properties of the pristine SiO2 aerogels and Pd-doped SiO2 aerogels were systematically characterized by X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and N2 adsorption measurements. It can be concluded that there were large amounts of Pd particles presented in the framework of SiO2 aerogels after radiation. In addition, the size of Pd particles increased with the increase of radiation dose. The introduction of Pd nanoparticles produced a reduction of the surface areas, total pore and mesopore volumes.

scholarly journals Estimation of Lattice Strain in Lanthanum Hexa Aluminate Nanoparticles Using X-Ray Peak Profile Analysis

2021 ◽  
Vol 31 (1) ◽  
pp. 13-19
Author(s):  
Naga Venkata Sai Ram Yellapragada ◽  
Tara Sasanka Cherukuri ◽  
Prabakaran Jayaraman ◽  
Sameer Kumar Devarakonda
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Crystallite Size ◽  
Profile Analysis ◽  
Xrd Analysis ◽  
Nano Particles ◽  
X Ray ◽  
Peak Broadening ◽  
Average Grain Size ◽  
Scanning Electron

This work confers to the preparation of Lanthanum Hexa Aluminate (LHA) nanoparticles by chemical precipitation and filtration technique followed by characterization studies conducted through X-ray peak profile analysis (XPPA) and Field Emission Scanning Electron Microscopy (FESEM) supported by Energy Dispersive Spectroscopy (EDS). From the X-ray diffraction (XRD) analysis, it has been observed that the prepared powder has hexagonal crystal structure. Further, Scherrer Method (S-M), modified Williamson–Hall (W-H), and Size–Strain Plot (SSP) methods have been implemented to all LHA reflection peaks for the comprehensive crystalline analysis. The influence of crystallite size, stress, strain, and energy density values on the peak broadening of LHA nanoparticles has been critically examined and discussed in the current work. In addition to regular mathematical models this paper also provides an insight into the calculation of Youngs modulus without tedious experimental procedure. The predicted crystallite size estimated from Scherrer’s formula, and W-H models are correlated to scanning electron microscopy results and observed that the average grain size of LHA nano particles estimated from SEM analysis, and models have less deviation in the present study.

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