Urine Analyte Prediction Using Time-Zone Correlation

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Solution Overview

Problem

Current methods for measuring toxic metal concentrations in urine after chelating agent administration require long-term urine collection, which is burdensome for subjects and inefficient.

Innovation Solution

A prediction method that uses a correlation between measured amounts of analytes in a predetermined time zone and a target time zone to estimate analyte amounts in urine specimens, allowing for shorter collection periods and easier evaluation of analyte excretion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If urine collection is extended over a long time (e.g., 6 hours) to accurately measure toxic metal concentration, then measurement precision is improved, but the burden on the subject and operational complexity increase

Engineering Contradiction:
Improvetoxic metal concentration measurement accuracyVSAvoidurine collection burden on subject
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent applies preliminary action by establishing a correlation model in advance between early-time-point analyte amounts (0-2 hours) and total excretion amounts (0-24 hours). This pre-established mathematical relationship allows direct prediction from short-term measurements, eliminating the need for subjects to perform long-term urine collection while maintaining measurement accuracy through the predictive calculation

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If urine collection period is extended to 6 hours for accurate measurement, then measurement precision is improved, but loss of time increases

Engineering Contradiction:
Improvetoxic metal concentration measurement accuracyVSAvoidurine collection time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent establishes a predictive correlation model in advance that relates early-time-point measurements to total excretion amounts. This preliminary mathematical framework enables accurate prediction of 24-hour total excretion based on merely 0-2 hour urine collection, reducing the time loss from 6 hours to 2 hours while preserving measurement precision

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent creates a mathematical copy or model of the long-term excretion process through correlation equations. Instead of directly measuring the full 6-hour or 24-hour excretion, the system uses a simplified early-time measurement that is mathematically transformed into an equivalent representation of total excretion, achieving the same informational goal with reduced time investment

Inventive Principle:
Principle #26Copying

3Measurement precision

If continuous urine collection over long time is required, then measurement precision is improved, but device complexity and operational requirements increase

Engineering Contradiction:
Improveanalyte amount measurement accuracyVSAvoidurine collection system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent resolves device complexity by pre-establishing a correlation model that transforms a complex long-term collection requirement into a simple short-term collection protocol. The mathematical relationship between early-time and total excretion amounts is determined in advance, allowing the use of simple collection containers and procedures while achieving accurate measurement results through predictive calculation

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11237153B2Method for predicting amount of analyte in urine specimen
Publication Date: 2022.02.01 ARKRAY INC

AI summary

A method predicts an amount of an analyte in a urine specimen collected in a target time zone. The method includes measuring an amount of an analyte in a urine specimen collected in a predetermined time zone after an administration of a chelating agent and b) predicting, from the measured amount of the analyte in the urine specimen collected in the predetermined time zone, the amount of the analyte in the urine specimen collected in the target time zone on the basis of a correlation between amounts of analyte in urine specimens in the predetermined time zone and amounts of analyte in urine specimens in the target time zone. The amounts of the analyte in the urine specimens in the predetermined time and the target time zone are measured before predicting the amount of the analyte in the urine specimen collected in the target time zone.