Factors Influencing Dough Fermentation: A Comprehensive Study
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This research explores the factors affecting dough fermentation, focusing on variables such as water volume, temperature, yeast amount, and salt. Utilizing a fractional factorial design, the study aims to identify how these factors interact and impact the fermentation process. Clear criteria distinguish under, well, and over-fermented dough. The conclusions highlight significant factors and their interactions while suggesting optimal conditions for achieving desirable dough characteristics. The findings provide essential insights for improving dough fermentation practices.
Factors Influencing Dough Fermentation: A Comprehensive Study
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Presentation Transcript
Group9 WINTER Template A Reserch of Factors Affecting the Fermentation of Dough Group 9: HOU Xiangyu 2008010881 YU Guo 2008010884 TU Mengyuan 2008010844 TAO Jianping 2008010870 MENG Xiangnan 2007010832
Outline WINTER • Background Template • Design & Implementation of Experiment • Data Analysis • Conclusion
WINTER Template 1. Introduction Of Idea
1.1 Flour and Cooked-wheaten-food WINTER Template • made of common crude dough • cooked by boiling water • made of leaven dough • cooked by steaming
1.2 Yeast versus Baking-soda WINTER Template • Pro: • Protect organic nutrition • Good taste • Con: • Dough: yellow • Fermentation: slow • Environment: strict Pro: Dough: whiter and softer Fermentation: faster Environment: casual Con: Destroy organic nutrition, Destroy Vitamin B
1.3 Criteria of Fermentation WINTER Under fermented: • Small dough size • Coarse grains inside • Non-elastic and dark surface Template Well fermented: • Larger dough size • Fine and smooth inside • Elastic, smooth and white surface Over fermented: • Small and flat dough size • Large air hole inside • Non-elastic, wrinkled surface • Sour taste
1.4 Objectives WINTER • Find factors affect fermentation of dough • Analysis effect of each factor as well as the interaction of multiple factors • Present relatively desirable & practical settings for fermentation Template
1.5 Material & Apparatus WINTER • Apparatus • Beaker • 50mL, precision: 5ml • Graduated cylinder • 10mL, precision: 0.5mL • Thermometer • -10℃~100℃, precision 1℃ • Electronic balance • precision 0.01g • Watch • precision: 1sec • Ruler • precision: 1mm • Chopsticks • for stirring • Basin • for heating in water bath • Material • Flour • whole-meal flour • Yeast • brand: AnQi • Water • pure water • NaCl • pure Template
2.1 Variable Definition • Response Variable • Height Change • Factors • Water Volume • Water Temperature • Amount of Inoculation • Sealing • Fermentation time • Salt
2.1 Variable Definition (con’t) • Constant Factor • Shape and size of containers • Lot of flour • Noise Factor • Variation in the process of kneading dough • Estimation in the measurement • Variation of temperature
2.2 Design Of Experiment • ¼ fractional factorial design • To reduce the cost of the experiments • Factors and Level Settings
2.2 Design Of Experiment (con’t) • Generator: E=ABC, F=BCD • Aliases:
2.3 Implementation Of Experiment • Prepare the flour, water, yeast • Mix the yeast with the flour
2.3 Implementation Of Experiment • Put the water in • Form a crude dough
2.3 Implementation Of Experiment • Put the dough in warm water
2.3 Implementation Of Experiment • Observe and write down the height
3.2 Interaction plot AB, AC, BE, BF, CD and CE seem to have significant interactions.
3.4 Pareto Chart PowerPoint picture page
3.8 Regression Model • RESPONSE=2.5500+0.1625*A +0.3000*B+0.6750*C-0.1500*F -0.1375*AC+0.1500*BF AC=BE BF=CD
3.11 Dispersion Effect • We then calculate the standard deviation of residuals at the low and high level and use statistic to present the dispersion
4. Conclusions • Significant factors: water volume, water temperature, amount of yeast and salt. • Interactions: water volume*amount of yeast water temperature*salt • Dispersion is not significant • Optimal solution is out of our experiment settings, but we can get the direction of improvement
References • Design and Analysis of Experiments 6ed • Douglas C. Montgomery • Dispersion Effect From Fractional Designs • George E. P. Box, R. Daniel Meyer,1986
END Thank you! Q&A