Sensor-Guided Food Processor Control for Nutrient-Preserving Blending
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Solution Overview
Problem
Food processors often fail to achieve an optimal blending level, leading to unsmooth mouthfeel due to undigested dietary fibers and nutrient loss from over-blending, as they lack effective monitoring to determine the desired fine and homogeneous particle size and nutrient retention.
Innovation Solution
A monitoring apparatus with sensors, such as particle image analysis, conductance, and refractive index measurement systems, integrated into or connected with food processors to continuously monitor particle size, electrical conductivity, and soluble solids content, providing real-time feedback to control the blending process and terminate it when predetermined nutrient values are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If food is blended for longer time or with higher intensity to achieve finer particle size, then the homogeneity and nutrient release are improved, but heat is generated that reduces micronutrients in the food
Solution Approach 1:
The patent employs sensors (optical, electrical conductivity, temperature) that continuously monitor food characteristics during blending and provide real-time feedback to the control system. This feedback mechanism allows the system to adjust blending parameters dynamically, achieving fine particle size uniformity without excessive heat generation that would cause micronutrient loss.
Solution Approach 2:
The blending process is made dynamic through continuous adjustment of blade speed and operation cycles based on real-time sensor data. The system transitions from static fixed-time blending to dynamic adaptive blending, modifying operational parameters to maintain optimal conditions for particle size reduction while preventing heat-induced nutrient degradation.
2Quantity of substance
If food is blended to reduce particle size for better nutrient intake, then the bioavailability is improved, but over-blending generates heat that reduces micronutrients
Solution Approach 1:
Sensors monitor electrical conductivity and optical properties that correlate with nutrient release and particle size. The control system uses this feedback to determine when optimal nutrient bioavailability is achieved, stopping the process before over-blending occurs and causing heat-related micronutrient loss.
Solution Approach 2:
The patent replaces purely mechanical blending judgment with sensor-based detection systems (optical sensors, electrical conductivity sensors) that objectively measure nutrient release and particle size, eliminating the need for extended blending times that would generate harmful heat.
3Ease of operation
If traditional food processors operate without monitoring to ensure thorough blending, then the operation is simple, but they fail to achieve optimal blending level resulting in unsmooth mouthfeel and nutrient loss
Solution Approach 1:
The food processing system performs self-monitoring and self-adjustment through integrated sensors and control algorithms. The system automatically detects when optimal blending is achieved and terminates the process, eliminating the need for user intervention or expertise while ensuring precise blending optimization.
Solution Approach 2:
Real-time sensor feedback enables the system to autonomously determine blending completion based on measured parameters (particle size, electrical conductivity, temperature). This automated feedback loop maintains ease of operation while achieving superior blending precision compared to traditional unmonitored processors.
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
Ensures the food is blended to a desired fine and homogeneous level, maximizing nutrient retention and consumer satisfaction in terms of taste and texture, while preventing nutrient loss.
Implementation Method 1
A monitoring apparatus with sensors, such as particle image analysis, conductance, and refractive index measurement systems
Implementation Method 2
conductance, and refractive index measurement systems
Implementation Method 3
particle image analysis, conductance, and refractive index measurement systems
Implementation Method 4
providing real-time feedback to control the blending process and terminate it when predetermined nutrient values are met
Implementation Method 5
particle image analysis, conductance, and refractive index measurement systems
Data Source
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Figure 3
Figure 4~5
AI summary
The invention relates to a monitoring apparatus configured to monitor a processing status of a food item under processing in a food processor, the monitoring apparatus comprising a sensor operable to determine characteristic information related to the food item in the food processor, a controller configured to provide a control signal to the food processor to control an operation of the food processor when the determined characteristic 5 information or a rate of change of the determined characteristic information meets a predetermined criteria.