Spectrometer Amplitude Drift Compensation via Zero Material

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Solution Overview

Problem

Spectrometers face challenges in maintaining amplitude stability over time due to changes in the optical path length through the sample holder, leading to variations in spectral data that are not adequately addressed by current standardization processes, which are typically performed less frequently than the occurrence of amplitude drift.

Innovation Solution

A method is introduced to continuously compensate for amplitude drift by using a standardization liquid with known absorption peaks to calculate and apply mathematical transforms that correct both the frequency and amplitude axes of spectral data, allowing for real-time standardization of unknown samples without additional spectral measurements, using a Fourier Transform interferometer and arithmetic unit processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If standardization is performed periodically, then frequency drift can be corrected, but amplitude drift occurs between standardization events

Engineering Contradiction:
Improvefrequency accuracyVSAvoidamplitude stability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent applies preliminary action by measuring the zero-material spectrum frequently (e.g., before each sample or at defined intervals) to detect amplitude drift early, before it significantly impacts measurement accuracy. This frequent preliminary measurement allows the system to proactively identify and correct amplitude variations using the measured zero-level to compensate subsequent sample measurements, thereby maintaining amplitude stability between periodic standardization events.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If standardization sample is used, then amplitude can be standardized, but additional spectral measurements are required

Engineering Contradiction:
Improveamplitude accuracyVSAvoidmeasurement time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies universality by using the zero-material (e.g., pure solvent) to serve multiple functions: it acts as both the sample being analyzed and as the reference standard for amplitude correction. By measuring the spectrum of the zero-material and comparing it to a reference zero-material spectrum, the system derives correction factors that are then applied to all subsequent sample measurements. This eliminates the need for separate standardization samples and additional standardization measurement steps.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system applies self-service by using the zero-material measurement itself to generate the correction data needed for amplitude standardization. The zero-material spectrum provides both the analytical information about the solvent and the reference information needed for correction, making the system self-sufficient and eliminating the need for external standardization procedures.

Inventive Principle:
Principle #25Self-service

3Reliability

If zero-material spectrum is measured frequently, then amplitude drift can be detected, but data processing complexity increases

Engineering Contradiction:
Improveamplitude stabilityVSAvoiddata processing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by transforming the amplitude correction problem into a simple multiplicative or additive parameter adjustment. Instead of complex real-time correction algorithms, the system measures the zero-material spectrum, compares it to a reference to derive correction factors (parameters), and then applies these parameters to correct subsequent measurements. This simplifies the processing complexity while maintaining reliable amplitude stability correction.

Inventive Principle:
Principle #35Parameter changes

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 method ensures standardized spectral data for unknown samples by accounting for rapid amplitude variations, maintaining data quality between standardization events and reducing the impact of cuvette wear and laser frequency differences, thereby stabilizing the amplitude axis and correcting frequency shifts in real-time.

Implementation Method 1

The presently preferred spectrometer is, however, one which includes a Fourier Transform (FT) interferometer

Methodology Applied
Scientific EffectFourier Transform:

Implementation Method 2

one which includes a Fourier Transform (FT) interferometer

Methodology Applied
Scientific EffectInterference: Interference

Implementation Method 3

Each standardisation sample has a chemical composition selected to produce known characteristic patterns in the associated single beam spectrum

Methodology Applied
Scientific EffectAbsorption spectroscopy: Absorption Spectroscopy

Implementation Method 4

a standardization liquid with known absorption peaks

Methodology Applied
Scientific EffectAbsorption (EM radiation): Absorption (EM radiation)

Data Source

PatentEP2745085B1Method for compensating amplitude drift in a spectrometer and spectrometer performing said method
Publication Date: 2019.04.17 FOSS ANALYTICAL AS
  • EP2745085B1 patent drawingFigure 1

AI summary

A method of compensating for amplitude drift in a spectrometer comprising: making successive performances of a standardisation process to generate, at each performance, a mathematical transform to compensate for amplitude drift for application by an arithmetic unit to a spectrum obtained by the spectrometer in an interval between the performances; modifying the mathematical transform with a function dependent on spectral data from a zero material measured in association with the standardisation process and the single beam zero spectrum measured in an interval between performances; and applying the modified mathematical transform to a spectrum from an unknown sample.