Process optimization and quality analysis of strawberry lees steamed buns
This study employed an artificial neural network and a genetic algorithm to optimize the production of steamed buns made with strawberry lees. The optimal parameters identified were: 17% strawberry lees addition, dough fermentation at 36°C for 120 min, and a 50-min proofing period. The experimental...
Saved in:
| Main Authors: | Qianqian Tong, Linlin Yin, Hong Rong, Jingjing Yang, Mengmeng Gu, Chaojia Shi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
|
| Series: | CyTA - Journal of Food |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19476337.2025.2541888 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EFFECT OF BAKING MODES AND OPTIONSIN A STEAM-CONVECTION OVEN ON QUALITY OF BUNS
by: Davydenko N.I., et al.
Published: (2017-03-01) -
Nutritional and sensory characteristics of developed wheat burger buns incorporated with different levels of steamed-squid (Loligo forbesii) powder
by: Rehab F. M. Ali, et al.
Published: (2025-05-01) -
Development of technology and recipe of sweet buns enriched with food additives
by: M. A. Kazimirova, et al.
Published: (2018-03-01) -
Insight into the leavening process and structural properties of buns containing okara
by: Caporizzi Rossella, et al.
Published: (2025-06-01) -
STUDY OF THE INFLUENCE OF COOKING MODES ON THE INDICATOR OF THE QUALITY OF BAKERY PRODUCTS
by: D. D. Makarova, et al.
Published: (2023-01-01)