Sourdough Starter Fermentation Control for Consistent Maturity
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Solution Overview
Problem
Current sourdough starter production is time-consuming, inconsistent, and not suitable for mass production, relying heavily on human experience and artisanal methods, leading to variations in flavor and texture of sourdough bread.
Innovation Solution
A processor-controlled sourdough starter production system utilizing sensors, a double-jacketed vessel for temperature control, and machine learning models to adjust flour and water additions based on real-time fermentation parameters, ensuring consistent maturity and flavor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If artisanal sourdough starter preparation is used, then flavor and texture quality can be maintained by experienced bakers, but production efficiency is low and consistency varies across batches
Solution Approach 1:
The system implements real-time monitoring of fermentation parameters (pH, temperature, gas production) with automatic feedback control. Sensors continuously measure starter development stages and provide data to control algorithms that adjust feeding rates and timing, ensuring consistent results across batches while enabling automated high-volume production.
Solution Approach 2:
The patent replaces the mechanical/artisanal system of manual observation and decision-making with an automated electronic control system. Machine learning algorithms analyze sensor data and automatically control feeding mechanisms, substituting human expertise with programmable logic that can be replicated indefinitely without degradation in performance.
2Adaptability or versatility
If artisanal methods with human experience are used, then adaptability to ingredient variations is possible through trial and error, but time consumption increases significantly
Solution Approach 1:
The system enables self-service adaptation through machine learning algorithms that automatically learn from sensor data and adjust feeding parameters without human intervention. When ingredient variations occur, the system autonomously modifies its control strategy based on real-time fermentation measurements, eliminating the need for manual trial-and-error while maintaining adaptability.
Solution Approach 2:
The patent dynamically adjusts multiple process parameters (feeding rate, feeding time, temperature control) based on real-time sensor readings and learned models. This continuous parameter optimization allows the system to adapt to ingredient variations by changing operational parameters rather than requiring fixed recipes or manual experimentation.
3Productivity
If automated processing is implemented, then productivity and consistency are improved, but device complexity increases
Solution Approach 1:
The system achieves mass production capability through modular, multi-functional components. A single automated feeding system serves multiple fermenters, sensors monitor multiple parameters simultaneously, and the control algorithm handles various starter types and scaling scenarios, reducing overall system complexity despite increased productivity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables consistent production of sourdough starters with controlled flavor and texture, optimizing fermentation processes for large-scale baking while reducing human error and variability.
Implementation Method 1
a double-jacketed vessel encasing the fermenter and configured to provide a controlled temperature environment on contents of the fermenter
Implementation Method 2
a double-jacketed vessel encasing the fermenter and configured to provide a controlled temperature environment on contents of the fermenter
Implementation Method 3
a first sensor that senses first parameter values indicative of bacterial activity in the mixture of flour and water; a second sensor that senses second parameter values indicative of yeast activity
Implementation Method 4
the second sensor is a CO2 sensor and the second parameter is CO2 concentration
Implementation Method 5
the processor receives the first and second parameter values, applies the received first and second parameters to a trained machine learning component, wherein the machine learning component analyzes and correlates the first and second parameter values
Data Source
AI summary
A system for computer-controlled production of sourdough starters includes a fermenter; a vessel encasing the fermenter and configured to provide a controlled temperature environment on contents of the fermenter; a processor-controlled feeder configured to provide additions of a flour to the fermenter; a processor-controlled water doser configured to provide additions of water to the fermenter; and a sensor in signal communication with a processor and configured to sense parameter values indicative of fermentation maturity of a mixture of flour and water. The processor receives the parameter values, correlates the parameter values with expected parameter values, and based on the correlation, adjusts a rate and quantity of flour addition and water addition to the fermenter to achieve a desired fermentation maturity of the mixture of the flour and the water.