Mass Spectrometer Validation via Automated Spectral Classification

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Solution Overview

Problem

Existing mass spectrometry machine qualification protocols are subjective and inadequate, requiring expertise and relying on human evaluation, which can lead to inaccurate classification due to performance drift and maintenance-related changes.

Innovation Solution

An automated, objective method using a predefined set of samples (machine qualification sample set) and a reference set of spectra to assess machine performance through a classification algorithm, ensuring consistent and reliable classification by comparing results before and after maintenance or service.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If subjective assessment methods are used for machine qualification, then expertise-based evaluation is achieved, but accuracy and consistency of classification are compromised

Engineering Contradiction:

Improveclassification accuracyVSAvoidsubjective evaluation requirement

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system performs self-validation by automatically comparing current machine spectra against stored reference spectra using objective computational criteria. The machine qualification process no longer requires external expert evaluation, as the system independently determines whether performance thresholds are met through automated spectral comparison and statistical analysis.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical/human evaluation process with an automated computational system. Instead of experts visually assessing spectra, a computer-implemented algorithm automatically compares spectral features, calculates conformity metrics, and determines machine qualification status, eliminating human subjectivity from the process.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If human evaluation is used to assess machine performance, then expert judgment is applied, but time consumption and inconsistency increase

Engineering Contradiction:

Improvevalidation speedVSAvoidevaluation time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The validation system operates autonomously without requiring expert time investment. The automated algorithm continuously monitors machine performance by comparing spectra against reference data, instantly determining whether qualification criteria are met, thereby eliminating the time loss associated with scheduling and conducting manual expert evaluations.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system enables continuous monitoring of machine performance rather than periodic manual assessments. Spectra are automatically acquired and compared in real-time, maintaining constant validation of machine qualification status without interruption to the workflow, thus eliminating downtime associated with manual evaluation processes.

Inventive Principle:

Principle #20Continuity of useful action

3Reliability

If feature concordance plots are used for validation, then spectral comparison is performed, but subjective interpretation is required leading to inaccuracies

Engineering Contradiction:

Improvevalidation consistencyVSAvoidevaluation methodology

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces the visual inspection of feature concordance plots with automated computational comparison. The system objectively measures spectral features and calculates conformity metrics through algorithmic processing, eliminating the need for human interpretation of graphical displays and ensuring consistent, reproducible validation results.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system transforms the validation approach from qualitative visual assessment to quantitative parameter-based evaluation. By defining specific spectral features and establishing numerical thresholds for conformity, the system converts subjective plot interpretation into objective parameter measurement, improving reliability while maintaining manageable complexity through automated computation.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS8467988B1Method and system for validation of mass spectrometer machine performance

Publication Date: 2013.06.18 BIODESIX INC

AI summary

A method and system for validating machine performance of a mass spectrometer makes use of a machine qualification set of samples. The mass spectrometer operates on the machine qualification set of samples and obtains a set of performance evaluation mass spectra. The performance evaluation spectra are classified with respect to a classification reference set of spectra with the aid of a programmed computer executing a classification algorithm. The classification algorithm also operates on a set of spectra obtained in a previous standard machine run of the machine qualification set of samples. The results from the classification algorithm are then compared with respect to predefined, objective performance criteria (e.g., class label concordance and others) and a machine validation result, e.g., PASS or FAIL, is generated from the comparison.