Aggregating Microbial Samplers for Representative Food Lot Testing
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Solution Overview
Problem
Current microbial sampling methods for ready-to-eat produce are inadequate, as grab samples are too small to represent production lots, heterogeneous, and results are delayed, leading to flawed food safety assurance and ineffective process validation.
Innovation Solution
Implementing a method and apparatus for automated and semi-automated microbial sampling using aggregating samplers that collect larger, more representative samples, followed by extraction, concentration, cleaning, and analysis with molecular or biochemical methods, enabling real-time reporting and improved detection of pathogens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If grab sampling is used for microbial testing, then the sampling process is simple and quick, but the sample size is too small to represent the production lot and results are delayed
Solution Approach 1:
The patent combines multiple individual samples into a single composite sample that represents the entire production lot. By aggregating samples from multiple locations and time points, the system achieves both rapid processing (treating one composite sample) and high representativeness (incorporating variability across the lot), thus resolving the contradiction between sampling speed and sample representativeness.
Solution Approach 2:
The system performs preliminary aggregation of multiple samples into a composite sample before analysis. This preliminary action of combining samples ensures that the representativeness is established beforehand, allowing rapid subsequent analysis without compromising either speed or accuracy.
2Reliability
If traditional plating techniques are used for microbial enumeration, then the methods are well-established, but they require time for colonies to form and results arrive slowly
Solution Approach 1:
The patent replaces the mechanical/biological process of colony formation on plates with molecular biology-based detection methods. Instead of waiting for colonies to grow visually, the system uses DNA/RNA amplification and detection techniques that provide results in hours rather than days, maintaining reliability through validated protocols while eliminating the time-consuming colony formation step.
Solution Approach 2:
The system changes the detection parameter from visual colony counting to molecular signal detection. By shifting from measuring macroscopic colony growth to detecting microscopic molecular signatures of pathogens, the method achieves rapid results while maintaining scientific rigor through controlled amplification and specific detection protocols.
3Quantity of substance
If enrichment culture is used to collect enough target organism, then sufficient target organisms are obtained for detection, but the process requires additional time and may remove interference incorrectly
Solution Approach 1:
The patent replaces the time-consuming biological enrichment culture process with direct molecular amplification methods. Instead of allowing target organisms to multiply in culture media over days, the system directly amplifies DNA/RNA from the sample, achieving sufficient target organism detection in hours without the time loss and potential interference removal issues associated with enrichment culture.
4Reliability
If multiple tests are conducted to meet customer demands, then food safety assurance increases, but the sampling efforts are technically and statistically flawed
Solution Approach 1:
The patent combines multiple sampling opportunities into a single statistically valid composite sample. Rather than conducting multiple flawed grab samples, the system aggregates samples according to statistical sampling principles, ensuring that one well-designed composite sample provides reliable food safety assurance with proper statistical validity.
Solution Approach 2:
The system incorporates statistical feedback mechanisms to validate that the composite sampling approach meets customer requirements. By using statistical methods to determine appropriate sample sizes, aggregation ratios, and acceptance criteria, the system ensures that food safety assurance is achieved with scientifically valid sampling that satisfies both regulatory and customer demands.
Data Source
AI summary
Certain aspects of the present disclosure relate to methods and apparatus for microbial sampling of foods. For example, a method may include providing at least one aggregating sampler at one or more sampling locations, and sampling a production lot of produce or other food items such as meat using the at least one aggregating sampler to create one or more samples that makes up a microbial sampling. Certain aspects of the present disclosure relate to methods and apparatus for microbial sampling of foods. For example, an apparatus, such as a microbial aggregating sampler, may include a covering having a microbial sampling material with a pocket formed in the covering to receive an appendage or a tool for handling of the covering.