Food Processing Wash Validation Using Real-Time Sensor Monitoring
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Solution Overview
Problem
Current food processing systems face challenges in validating and verifying wash processes, especially for products without a kill step, such as ready-to-eat leafy greens, poultry, and fish, due to inadequate control over microbial risk and cross-contamination, particularly in dynamic and uncontrolled conditions.
Innovation Solution
Implementing a method that involves operating the food processing system for a validation period, measuring process metrics at multiple times, and using sensors to determine the validity of the process based on generated measurements, with a system comprising processors and sensors to control and adjust process parameters, ensuring the maintenance of critical levels for parameters like chlorine concentration and pH.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional pass-or-fail validation methods are used for wash processes, then the validation procedure is simple to implement, but the method is inadequate for dynamic processes where conditions vary and steady state is not achieved
Solution Approach 1:
The validation method transitions from static pass-or-fail criteria to dynamic continuous monitoring of process parameters. Sensors track chlorine concentration, pH, temperature, and other critical parameters throughout the wash process, allowing validation that adapts to varying process conditions rather than requiring steady state assumptions.
Solution Approach 2:
The system implements real-time feedback through continuous measurement and monitoring of process parameters. The collected data is analyzed to determine process validity, providing ongoing feedback that allows adjustment and verification of wash process effectiveness under dynamic conditions.
2Measurement precision
If multiple sensors are deployed for real-time monitoring of process parameters, then the precision of process control is improved, but the device complexity increases
Solution Approach 1:
The system employs multiple sensors that can monitor various process parameters (chlorine concentration, pH, temperature, turbidity) simultaneously. This multi-functional approach allows comprehensive process validation through a unified system rather than separate monitoring systems for each parameter.
Solution Approach 2:
The system automatically collects, analyzes, and interprets sensor data without requiring manual intervention. The validation process is self-executing, with the system determining process validity based on pre-established criteria and providing automated verification of wash process effectiveness.
3Reliability
If continuous monitoring and validation systems are implemented, then food safety and process control are improved, but the cost and complexity of the food processing system increase
Solution Approach 1:
Real-time feedback from continuous monitoring enables immediate detection of process deviations. The system automatically identifies when process parameters fall outside acceptable ranges, allowing for prompt corrective action to maintain food safety without requiring overly complex manual monitoring systems.
Solution Approach 2:
Manual validation procedures are replaced with automated sensor-based monitoring and data analysis systems. This substitution reduces the need for complex human-operated validation processes while improving consistency and reliability of food safety verification.
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
This approach enhances food safety by providing real-time monitoring and control, preventing deviations and ensuring that the wash process meets desired standards, thereby reducing microbial risk and cross-contamination effectively.
Implementation Method 1
Sensors, such as electrodes, are used to monitor various attributes of process and wash water and other solutions
Implementation Method 2
the property of turbidity may be measured optically through a window by a sensor
Data Source
AI summary
Methods and apparatus for validating wash processes and related operations for food processing, including preventing undesirable deviations in such food processing. One example method for validating a process for a food processing system generally includes: operating the food processing system on a food product according to the process, wherein the operating is performed for at least a validation period; measuring a process metric at multiple times during the validation period while the food processing system is operating according to the process, wherein the measuring generates a set of process metric measurements; and determining whether the process for the food processing system is valid, based on the set of process metric measurements.