Surrogate Contaminant Blend for Cleaning Verification
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Solution Overview
Problem
Current wash indicators are inadequate for monitoring the effectiveness of pH neutral enzymatic cleaners and fail to detect residues of organic materials like fat and brain tissue, which are resistant to removal and can lead to surgical site infections and equipment corrosion.
Innovation Solution
A method and device using a non-infectious surrogate contaminant blend, such as calf serum, rabbit blood, and gelatin, applied to a surrogate substrate to simulate real-world contaminants, allowing for simultaneous cleaning and verification of cleaning effectiveness without risking actual substrates, using disclosing compositions to detect residual contaminants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If visual inspection is used to determine cleaning effectiveness, then the inspection process is simple and quick, but it fails to detect invisible contaminants like fat and brain tissue residues
Solution Approach 1:
The patent introduces a disclosing composition as an intermediary substance that reacts with residual contaminants to make them visible. The disclosing composition contains agents that bind to organic residues like fat and protein, producing color changes or fluorescent signals that enable detection of otherwise invisible contaminants while maintaining a simple inspection process
Solution Approach 2:
The patent utilizes color change reactions between the disclosing composition and residual contaminants to indicate cleaning effectiveness. When contaminants are present, the disclosing composition undergoes visible color changes, providing a straightforward visual indicator that combines ease of inspection with improved detection accuracy
2Ease of manufacture
If hemoglobin and fibrin are used as test soils to simulate organic soils, then the test materials are readily available, but they do not accurately represent resistant contaminants like fat and brain tissue
Solution Approach 1:
The patent modifies the composition parameters of test soils to include fat, brain tissue, and other resistant organic materials that accurately represent real-world surgical contaminants. This changes the chemical and physical properties of the test soil to better simulate actual cleaning challenges, improving the reliability of cleaning effectiveness assessments
Solution Approach 2:
The patent creates composite test soil formulations that combine multiple organic materials including fat, protein, and brain tissue simulants to better represent the complex composition of real surgical contaminants. These composite materials provide a more comprehensive and realistic test substrate for evaluating cleaning performance
3Object-affected harmful factors
If pH neutral enzymatic cleaners are used to clean surgical instruments, then the cleaners are less corrosive to instruments, but they are ineffective against resistant organic soils like fat and brain tissue
Solution Approach 1:
The patent modifies the chemical parameters of the cleaning solution by adding specific enzymes and adjunct chemicals that enhance the ability to break down resistant organic soils like fat and brain tissue. This allows the cleaner to maintain its pH neutral, low-corrosiveness properties while improving contaminant removal effectiveness through enhanced biochemical activity
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 provides a more comprehensive assessment of cleaning efficacy, ensuring surgical instruments are thoroughly cleaned and safe for use, reducing the risk of infections and equipment corrosion, while optimizing cleaning protocols and reducing costs.
Implementation Method 1
Existing wash indicators on the market were and are designed primarily to monitor protein residuals or the effectiveness of alkaline cleaners
Implementation Method 2
using disclosing compositions to detect residual contaminants
Implementation Method 3
monitor the effectiveness of pH neutral enzymatic cleaners
Data Source
AI summary
A method of assessing the efficiency of a cleaning operation and assessing likely residual contamination on substrates after a cleaning operation.

