Microbial Spoilage Detection via CO2 Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for identifying food spoilage are inefficient and result in significant waste, as they rely on empirical determinations and visual inspections, which are not reliable for real-time detection of microbial growth in perishable products.
Innovation Solution
A system and method utilizing a chemical sensor, detection device, and digital output to measure and analyze CO2 levels produced during microbial growth, providing real-time data on spoilage status through smart devices, allowing for informed decisions on food consumption and disposal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection methods are used to predict spoilage, then the process is simple and inexpensive, but the accuracy and reliability of spoilage detection is poor resulting in large amount of waste
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical detection system that uses image capture devices and computer vision algorithms to objectively analyze food product condition, eliminating human subjectivity and improving detection accuracy
Solution Approach 2:
The patent introduces an intermediary detection system consisting of image capture devices, processors, and algorithms that mediate between the food product and the decision-making process, providing objective spoilage assessment without direct human intervention
2Reliability
If shelf life controls are implemented to ensure food safety, then the risk of consuming spoiled food is reduced, but the amount of wasted edible food increases due to premature disposal
Solution Approach 1:
The patent implements a feedback system where the detection device continuously monitors food product condition and provides real-time information to users, allowing dynamic adjustment of consumption decisions based on actual spoilage status rather than fixed shelf life timelines
Solution Approach 2:
The patent shifts from using fixed time-based shelf life parameters to real-time condition-based parameters, monitoring actual physical and chemical changes in the food product to determine spoilage status, thereby extending usable life while maintaining safety
3Loss of substance
If real time detection system is implemented to identify spoilage accurately, then food waste is reduced, but the device complexity and initial cost increase
Solution Approach 1:
The patent designs a detection system that can be applied universally across different types of food products and storage environments, using general-purpose image capture devices and algorithms that adapt to various scenarios, reducing the need for specialized expensive equipment
Solution Approach 2:
The patent uses optical copying and image representation of the food product instead of direct physical interaction or complex chemical analysis, allowing remote non-invasive detection that simplifies the physical detection system while maintaining high accuracy
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 enables real-time detection of microbial growth, reducing food waste by accurately identifying spoiled products and potentially eliminating the need for shelf life controls, applicable across the entire food supply chain.
Implementation Method 1
a chemical sensor capable of sensing CO2 produced during microbial growth
Data Source
AI summary
A system and method for the real time determination of microbial growth in or on perishable products. The system can predict the extent of microbial growth, e.g., whether food is spoiled, in real time by measuring chemicals released, e.g., CO2, from the perishable product during microbial growth. The output from a sensor can be correlated to the extent of microbial growth, i.e., spoilage, and provide information about the extent of microbial growth to the user, for example, through their smart devices.