scholarly journals Influence of damaged starch on the quality parameters of wheat dough and bread

2019 ◽  
Vol 8 (3) ◽  
pp. 512-521
Author(s):  
Marko Jukić ◽  
Daliborka Komlenić ◽  
Krešimir Mastanjević ◽  
Kristina Mastanjević ◽  
Mirela Lučan ◽  
...  
2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Haoyu Guo ◽  
Jisu Wu ◽  
Yuxia Lu ◽  
Yueming Yan

The elasticity of wheat dough is mainly determined by high-molecular-weight glutenin subunits (HMW-GSs) encoded by Glu-1 loci. In this study, we performed the first comprehensive study on the effects of Glu-B1i-encoded 1Bx17 and 1By18 subunits on dough rheological properties and breadmaking quality by using a pair of Glu-B1 near-isogenic lines (NILs) ZM-NIL1 and ZM-NIL2. Comparative analysis of basic quality parameters, rapid visco analyzer (RVA) and farinograph parameters, and C-cell and loaf parameters showed that ZM-NIL2 containing Glu-B1i-encoded 1Bx17 and 1By18 subunits had better dough rheological properties and breadmaking quality than ZM-NIL1 carrying Glu-B1c-encoded 1Bx7 and 1By9 subunits, including significantly increased protein and gluten content, development time and stability, and loaf volume and score. Particularly, 1Bx17 and 1By18 subunits could significantly enhance bread texture, including significant increase in slice brightness, slice area, circumference, cell contrast, cell extension, and cell quantity. These results demonstrate that 1Bx17 and 1By18 subunits have a significant contribution to dough rheological properties and breadmaking quality.


2014 ◽  
Vol 49 (12) ◽  
pp. 2685-2691 ◽  
Author(s):  
Jasna Mastilović ◽  
Žarko Kevrešan ◽  
Aleksandra Torbica ◽  
Elizabet Janić Hajnal ◽  
Dragan Živančev

2018 ◽  
Vol 12 (3) ◽  
Author(s):  
D. Zhygunov ◽  
V. Kovalova ◽  
M. Kovalov ◽  
A. Donets

Today, bakery and milling industry is actively developing, as well as other branches of food industry. This is due to the applying of new foreign trends to the technology and range of products of the Ukrainian market. In these conditions, the classic offering of flour is already inadequate. To meet the needs of modern bakeries, milling industry is facing a new challenge: production of flour grades with specified quality parameters. The article considers the technological and baking properties of flour from all systems of the technological process of a flourmill with a capacity of 300 tons per day. Studies have shown that flour from first-quality systems is whiter by 15–20 units, is by 1.0–1.8% lower in ash, by 1–3% lower in protein, by 2–4% lower in gluten with more elastic properties, has a Falling Number higher by 80–110 s, a water absorption capacity lower by 1–5%, a damaged starch value lower by 1–3 UCD as compared to flour from systems of some other quality. Technological solutions are developed for producing a special flour grade by its selection and mixing from the streams of the 1st break system (B1/B2), 1st reduction system (C1/C2), 2nd sizing system (R2), and 1st vibratory bran finisher system (V1). It has been found that the developed grade of flour – patent superior grade flour – meets the requirements and has high baking performance. It has a gluten content higher by 2%, Falling Number lower by 20 s, and Starch Damage less by 2 UCD, as compared to patent high grade flour. This makes it possible to obtain bread larger in volume by 55 cm3, with smooth, even crust, elastic white crumb, and uniform porosity (80%). According to rheological characteristics determined with a Mixolab device, patent superior grade flour has a higher Water Absorption Index, a higher Viscosity Index, a lower Gluten+ Index, and a lower Amylase Index than patent high grade flour. The developed technological solutions for producing flour with specified quality parameters have been introduced at the flourmill with an equipment package, from the company Alapala (Turkey), with a capacity of 300 tons per day.


2015 ◽  
Vol 63 ◽  
pp. 49-56 ◽  
Author(s):  
Mareile Heitmann ◽  
Emanuele Zannini ◽  
Elke K. Arendt

Planta Medica ◽  
2010 ◽  
Vol 76 (12) ◽  
Author(s):  
C Turek ◽  
S Ritter ◽  
F Stintzing

2020 ◽  
Vol 29 (11) ◽  
pp. 50-55
Author(s):  
V.I. Maklyukov ◽  
◽  
E.O. Gerasimova ◽  
N. V. Labutina ◽  
E.N. Rogozkin ◽  
...  

The article considers the results of research conducted during electric contact heating of rye-wheat dough pieces. It is established that the electrical conductivity of the crumb dough does not depend on the total humidity of the material, but mainly on the amount of free moisture. Using the current and temperature graphs, you can imagine how free moisture changes during the baking process and the influence of the thermophysical and colloidal process on the change in the value of free moisture. Experimentally determined the amount of heat that is spent on baking 1 kg of bread. The accuracy of the theoretical calculation of this parameter in the heat balance of the baking chamber is confirmed.


TAPPI Journal ◽  
2019 ◽  
Vol 18 (11) ◽  
pp. 679-689
Author(s):  
CYDNEY RECHTIN ◽  
CHITTA RANJAN ◽  
ANTHONY LEWIS ◽  
BETH ANN ZARKO

Packaging manufacturers are challenged to achieve consistent strength targets and maximize production while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning. The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under everchanging machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.


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