LIBS Sample Searing with Reflectance Feedback
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Solution Overview
Problem
The accuracy and repeatability of Laser Induced Breakdown Spectroscopy (LIBS) analysis for organic materials are limited by 'matrix effects', where variations in sample properties affect the intensities of characteristic emission lines, and the optimum searing duration for LIBS analysis can vary significantly from sample to sample of the same organic matrix.
Innovation Solution
A method for preparing organic material samples for LIBS analysis involves monitoring the reflectance during searing and applying a predictive model to determine the optimum searing duration specific to each sample pellet. This method uses a searing device with a heater controlled by reflectance values, allowing each sample to be seared for an optimal time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed searing duration is used for all samples of the same organic matrix, then the processing time is reduced and the operation is simplified, but the accuracy and repeatability of LIBS analysis deteriorates due to matrix effects varying from sample to sample
Solution Approach 1:
The patent implements a feedback mechanism where the reflectance of each sample is measured during searing, and this measured reflectance is fed back to control the searing duration. The system adjusts the searing time based on the actual sample properties rather than using a fixed predetermined time, thereby resolving the contradiction between maintaining simple operation and achieving high measurement precision for each individual sample.
Solution Approach 2:
The sample itself provides the information needed to determine its optimal searing duration through its reflectance properties. By measuring the reflectance of each sample and using this self-provided information to control the searing process, the system enables each sample to determine its own optimal processing parameters, improving accuracy without requiring complex external characterization.
2Reliability
If the searing duration is extended to ensure complete matrix decomposition for all samples, then the consistency of elemental abundance analysis is improved, but the processing time increases and energy consumption rises
Solution Approach 1:
The patent transitions from a static, fixed searing duration approach to a dynamic, adaptive approach where the searing time is adjusted based on the measured reflectance of each sample. This dynamic adjustment allows the system to achieve reliable and repeatable results for each sample individually without unnecessarily extending the processing time for samples that require less searing duration.
Solution Approach 2:
The system changes the searing duration parameter based on the reflectance measurement of each sample. By adjusting this critical process parameter according to actual sample properties rather than using a constant value, the system achieves consistent analytical results while optimizing the processing time for each sample's specific requirements.
3Measurement precision
If individualized searing duration is determined for each sample through reflectance monitoring and predictive models, then the matrix effects are minimized and analysis accuracy is improved, but the measurement and processing complexity increases
Solution Approach 1:
The patent introduces reflectance measurement as an intermediary parameter that indirectly characterizes the sample properties relevant to optimal searing duration. Instead of directly measuring complex sample characteristics or using trial-and-error methods, the system uses reflectance as a surrogate measurement that correlates with the required searing time, thereby reducing the difficulty of determining optimal processing parameters.
Solution Approach 2:
The patent replaces manual or trial-based determination of searing duration with an automated optical measurement and computational system. By substituting the mechanical/manual process of determining optimal searing time with reflectance measurement and predictive modeling, the system reduces the difficulty of measurement while maintaining high precision.
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
The proposed method enhances the accuracy and repeatability of LIBS analysis by ensuring each sample is seared for an optimal duration, minimizing matrix effects and improving the consistency of elemental abundance analysis across similar organic materials.
Implementation Method 1
a heater adapted to supply thermal energy to the sample for a period of time to sear the organic material in the sample
Implementation Method 2
measuring a reflectance of the sample using a reflectance unit
Implementation Method 3
LIBS is a spectrochemical technique that uses a pulsed laser of very short pulse duration (typically between nanoseconds and femtoseconds) which is focused on a sample to create transient temperatures upwards of 10,000 Kelvin
Data Source
AI summary
An organic material sample is prepared for LIBS analysis based on searing a sample of granular organic material having an organic matrix. The searing includes supplying heat to the sample for one or more known exposure times to produce a same number of searing instances, measuring reflectance values of the sample before and after one or more of the searing instances, determining a searing parameter as an indicator of a susceptibility of the organic matrix to searing determined based on the measured reflectance values, calculating a time value from an application of a predictive model derived from an empirical analysis of reference data comprising time values indexed against searing parameter to the searing parameter, the predictive model linking the searing parameter to the time value, generating a new exposure time using the time value, and heating the sample for the new exposure time to produce a new searing instance.