Quantitative Pooled-Sample Testing for Consumer Products

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Solution Overview

Problem

Current pooled-sample testing methods for consumer products lack scientific modeling and accuracy, primarily being qualitative and unable to achieve maximum efficiency due to improper application, which can lead to inaccurate results and increased workload and costs.

Innovation Solution

A quantitative pooled-sample testing method and apparatus that introduces uncertainty into the testing model, using probability theory and mathematical statistics to calculate the optimum number of samples that can be pooled, ensuring accurate results and reduced workload through a mathematical model that considers regulatory limits, measurement uncertainty, and sample pooling ratios.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If pooled-sample testing is applied to reduce testing workload and costs, then testing efficiency and economic benefits are improved, but measurement precision and accuracy of test results deteriorate due to lack of scientific modeling

Engineering Contradiction:
Improvetesting efficiencyVSAvoidtest result accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent applies parameter changes by introducing uncertainty parameters (combined uncertainty Ucomb and expanded uncertainty Urel) into the pooling model. It calculates the maximum number of samples that can be pooled (Kmax) based on regulatory limits, measurement uncertainty, and sample pooling ratios, thereby optimizing the balance between testing efficiency and result accuracy.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent replaces the traditional mechanical/conventional pooling approach with a quantitative mathematical model based on probability theory and statistical theory. This substitution enables precise calculation of the optimum number of samples to pool while maintaining measurement precision through uncertainty analysis.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Loss of energy

If conventional pooled-sample testing is used without scientific modeling, then testing costs and environmental pollution are reduced, but workload reduction is insufficient and quality standards cannot be maintained

Engineering Contradiction:
Improveenvironmental pollutionVSAvoidquality standard compliance
Core Design Contradiction:
Loss of energyVSReliability

Solution Approach 1:

The patent implements feedback by establishing a closed-loop system that calculates the maximum number of samples to pool based on regulatory limits and measurement uncertainty, then uses this information to determine the optimum pooling size that maintains quality standard compliance while maximizing environmental and economic benefits.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20240118296A1Quantitative pooled-sample testing method and apparatus for chemical test items of consumer product
Publication Date: 2024.04.11 TECH CENT OF GUANGZHOU CUSTOMS
  • US20240118296A1 patent drawing
  • US20240118296A1 patent drawing
  • US20240118296A1 patent drawing

AI summary

A quantitative pooled-sample testing method and apparatus for chemical test items of consumer products are provided. The test method includes: calculating a maximum number of samples that can be pooled according to parameters such as regulatory limit requirements, measurement uncertainty, the number of pooled samples, a sample pooling ratio, and the like; establishing a searchable table according to a relationship between a qualified rate, the number of samples that can be pooled, and reduced workload; for various items to be tested, directly querying the table to acquire reduced workloads corresponding to different numbers of samples that can be pooled; and when the number of samples that can be pooled does not exceed a maximum value and corresponds to the most greatly reduced workload, determining that number of samples that can be pooled as an optimum number of samples that can be pooled, and performing pooled-sample testing.