Dynamic Range Balancing in Optical Spectrometers Using Translatable Filters

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Solution Overview

Problem

Raman spectroscopy in hydrocarbon applications faces challenges in accurately measuring relative concentrations of components with widely varying signal strengths due to strong peaks overpowering weaker signals, requiring dynamic range balancing to prevent detector saturation and improve signal-to-noise ratio.

Innovation Solution

The use of translatable filters within the collimated collection beam to attenuate the C—H stretch region, allowing for variable attenuation and better alignment of spectral features with the dynamic range of CCD detectors, ensuring both strong and weak signals are measured effectively without saturation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a short integration time is used to prevent detector saturation from strong signals, then detector saturation is avoided, but the weakest signals of interest fail to rise above electronic noise and quantization noise

Engineering Contradiction:
Improvedetector saturation preventionVSAvoidsignal-to-noise ratio for weak signals
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The spectrum is segmented into different spectral regions with different attenuation characteristics. The C-H stretch region (2800-3200 cm⁻¹) is selectively attenuated using a filter, while other regions pass through with minimal attenuation. This allows different integration times to be effectively applied to different spectral regions, preventing saturation in strong signal regions while maintaining adequate signal-to-noise ratio in weak signal regions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different parts of the spectrum are treated differently through spatially varying attenuation. The filter is positioned in the collimated beam path where different wavelengths are spatially separated, allowing selective attenuation of the C-H stretch region while preserving other spectral regions. This local differentiation resolves the contradiction by applying appropriate attenuation only where needed.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If a long integration time is used to improve signal-to-noise ratio for weak signals, then weak signals rise above noise, but the strongest signals saturate the detector charge capacity or readout register

Engineering Contradiction:
Improvesignal-to-noise ratio for weak signalsVSAvoiddetector saturation
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The spectral range is divided into segments with different attenuation levels. The C-H stretch region receives strong attenuation (e.g., 90-99%) while fingerprint regions receive little or no attenuation. This segmentation allows the use of longer integration times to improve weak signal detection without causing saturation in the already-strong C-H stretch region.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The filter is placed in the beam path before the detector to pre-attenuate strong signals in the C-H stretch region. This preliminary action reduces the dynamic range requirement for the detector, allowing longer integration times to be used without risking saturation, thereby improving signal-to-noise ratio for all signals including weak ones.

Inventive Principle:
Principle #10Preliminary action

3Quantity of substance

If no spectral attenuation is applied, then the full dynamic range of the spectrum is captured, but strong peaks in the C-H stretch region overpower weaker signals making accurate measurement difficult

Engineering Contradiction:
Improvefull spectral dynamic rangeVSAvoidaccuracy of weak signal measurement
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The filter introduces spatially varying attenuation across the spectral range, with the C-H stretch region experiencing strong attenuation while other regions experience minimal attenuation. This local quality modification balances the overall spectral dynamic range, allowing weak signals to be measured accurately without losing the ability to capture strong signals in other regions.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The filter changes the attenuation parameter selectively across different spectral regions. By adjusting the filter characteristics (wavelength-dependent attenuation), the system optimizes the balance between strong and weak signals in different parts of the spectrum, improving measurement precision for weak signals while preserving the full spectral dynamic range.

Inventive Principle:
Principle #35Parameter changes

4Productivity

If multiple sample streams are analyzed simultaneously through a common spectrograph, then productivity is improved, but the range of signal peak levels is further exacerbated by different stream pressures, temperatures or compositions

Engineering Contradiction:
Improvemulti-stream analysis capabilityVSAvoidsignal peak level balance
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

Each sample stream's spectrum is segmented spectrally, with the C-H stretch region being selectively attenuated for streams showing strong signals in that region. This per-stream spectral segmentation allows the system to handle widely varying signal levels from different streams simultaneously, maintaining measurement precision across all channels while preserving multi-stream productivity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The attenuation applied to each sample stream can be dynamically adjusted based on the stream's specific conditions (pressure, temperature, composition). By making the attenuation dynamic and adaptive rather than fixed, the system optimizes signal balance for each stream individually, resolving the peak level exacerbation problem while maintaining simultaneous multi-stream analysis capability.

Inventive Principle:
Principle #15Dynamics

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 approach enables accurate measurement of both strong and weak signals, improving the signal-to-noise ratio and allowing for precise quantitation of hydrocarbon components, even in multi-component samples with varying concentrations.

Implementation Method 1

The preferred embodiment is directed to filters that attenuate the C—H stretch region to produce a better fit of a multi-component hydrocarbon Raman spectrum to the dynamic range of a CCD detector

Methodology Applied
Scientific EffectOptical absorption: Absorption (EM radiation)

Data Source

PatentUS8937715B2Optical spectrometer dynamic range balancing methods and apparatus
Publication Date: 2015.01.20 ENDRESSHAUSER OPTICAL ANALYSIS INC
  • US8937715B2 patent drawing
  • US8937715B2 patent drawing
  • US8937715B2 patent drawing

AI summary

Methods and apparatus facilitate dynamic range balancing for multi-component peaks of widely varying magnitude in an optical spectrometer. In a specific embodiment, filters attenuate the C—H stretch region to produce a better fit of a multi-component hydrocarbon Raman spectrum to the dynamic range of a CCD detector. The filter may be translated into and out of the collimated collection beam to achieve a varying degree of attenuation. In certain applications, the filter is insertable into a collimated collection beam within a fiber-optic probe head to collect Raman spectra. The invention may include optical elements to create the collimated collection beam if not already present or not suitable for insertion of the filter. A second filter, an “opaque” or neutral density filter, may be insertable into the collimated collection beam to attenuate a broad spectral response within and outside the spectral range.