scholarly journals Bread containing Brassica oleracea var. acephala as a source of copper and manganese

2015 ◽  
Vol 36 (5) ◽  
pp. 3113
Author(s):  
Érica Menezes Salvino ◽  
Janeeyre Ferreira Maciel ◽  
Larissa Raphaela G. de Farias Feitosa ◽  
Roberto Kelwin Lopes da Costa e Lopes

<p>The aim of this study was to add dehydrated kale (<em>Brassica oleracea </em>var. <em>acephala</em>) to the formulation of a loaf of bread at concentrations of 2.5% and 5%, and submit the products obtained to physico-chemical, sensory and chemical composition analysis. We also designed a control loaf of bread for comparison purposes. The addition of dehydrated kale increased the pH and acidity of the bread; however, it did not affect the specific volume, which ranged from 4.57 to 4.08 cm3/ g, and the water activity, which was 0.95, making it possible to obtain products with satisfactory technological characteristics. In the sensory test, the kale bread showed good acceptance, with mean scores ranging from 6.5 to 8.4, and outstanding softness. The color of the bread with 5% kale was the only attribute that obtained a mean score below the one obtained for the control bread. The addition of dehydrated kale promoted greater increase in the fiber (133-281%), calcium (176-297%), phosphorus (201-232%), potassium (208-318%) and magnesium (181-300%) content of the bread; however, only for copper (140-160%) and manganese (76-118%), were increments sufficient to make the products good sources of these minerals. As regards the level of oxalic acid, the concentrations obtained were far below the level considered as risky to health. Therefore, the addition of dehydrated kale to the formulation of bread resulted in products with good sensory acceptance, increased their nutritional value, and offered consumers a new choice of bread.</p>

2017 ◽  
Vol 61 (1) ◽  
pp. 1-6 ◽  
Author(s):  
M. Buchtík ◽  
P. Kosár ◽  
J. Wasserbauer ◽  
P. Doležal

Abstract This work deals with the characterization of Ni–P coating prepared via electroless deposition on wrought AZ31magnesium alloy. For the application of electroless deposition was proposed and optimized a suitable pretreatment process of magnesium alloy surface followed by Ni–P coating in the nickel bath. The chemical composition of Ni–P based coating was characterized using the scanning electron microscope with chemical composition analysis. Next, physico-chemical properties and mechanical characteristics of Ni–P coating were evaluated. The mechanism of corrosion degradation of the coating and the substrate was also studied in this work.


Molecules ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 379
Author(s):  
Da Qing Yu ◽  
Xiao Jing Han ◽  
Ting Yu Shan ◽  
Rui Xu ◽  
Jin Hu ◽  
...  

The authors would like to correct an error in the title paper [...]


2021 ◽  
Vol 156 ◽  
pp. 105112
Author(s):  
Samin Fathalinejad ◽  
Esben Taarning ◽  
Peter Christensen ◽  
Jan H. Christensen

2010 ◽  
Vol 158 ◽  
pp. 197-203 ◽  
Author(s):  
Jie Liu ◽  
Yue Xin Han ◽  
Wan Zhong Yin

The process mineralogy of potassium-rich shale from Chaoyang of Liaoning, China, was studied. Research results showed there are much less variety and smaller quantities in mineral compositions. Calculated mineral composition by means of chemical composition analysis combined with XRD, MLA, IR and TG-DSC analyses showed that main minerals with were Potassium-feldspar, muscovite, biotite and illite, and gangue minerals were quartz and small amounts of hematite. Potassium-rich minerals such as potassium-feldspar and muscovite contact smoothly with quartz respectively, and there was the direction arrangement among potassium-feldspar, quartz and muscovite in the shale. And quartz and hematite were main cement in the shale. The influences of the research results on the potassium extraction from potassium-rich shale were distinct.


2017 ◽  
Vol 10 ◽  
pp. S2372-S2375 ◽  
Author(s):  
Avat (Arman) Taherpour ◽  
Mohammad Mehdi Khodaei ◽  
Baram Ahmed Hama Ameen ◽  
Majid Ghaitouli ◽  
Nosratollah Mahdizadeh ◽  
...  

Author(s):  
Ashwin P. Rao ◽  
Phillip R. Jenkins ◽  
John D. Auxier II ◽  
Michael B. Shattan

Enhancing the analytical capabilities of a hand-held LIBS device for chemical composition analysis of a plutonium surrogate using different machine learning paradigms.


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