Resin Degradation Analysis via Multi-Point Fluorescence
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Solution Overview
Problem
Existing methods for evaluating the degradation of resins in collected products face challenges due to fluorescence photobleaching, which complicates the accurate separation of functional groups generated by degradation from those affected by measurement processes.
Innovation Solution
The proposed analysis method involves acquiring first and second fluorescence spectra from a resin sample using different light sources, allowing for the separation of optical density information related to resin degradation from effects caused by photobleaching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a single fluorescence spectrum is measured to evaluate resin degradation, then the measurement process is simple, but photobleaching effects cannot be separated from degradation effects
Solution Approach 1:
The patent segments the fluorescence measurement into multiple spectra taken at different time points during irradiation. By dividing the measurement process into sequential stages (initial spectrum, intermediate spectrum, final spectrum), the method separates photobleaching effects from degradation effects, allowing accurate evaluation while maintaining operational simplicity through automated sequential measurement.
Solution Approach 2:
The patent performs preliminary measurements by acquiring fluorescence spectra at multiple time points before final evaluation. This preliminary action of measuring during the irradiation process allows the system to characterize photobleaching behavior and subtract it from the total signal, thereby isolating the true degradation signal for accurate assessment.
2Measurement precision
If multiple fluorescence spectra are measured at different time points, then photobleaching effects can be separated from degradation effects, but the measurement process becomes more complex
Solution Approach 1:
The patent employs self-service by using the sample itself as the reference standard. The fluorescence spectra measured at different time points from the same sample provide internal reference data that automatically characterizes photobleaching behavior. This eliminates the need for separate reference measurements or complex external calibration systems, reducing overall device complexity while maintaining high measurement precision.
Solution Approach 2:
The patent implements feedback by using the time-resolved fluorescence spectra to continuously monitor and characterize photobleaching effects during measurement. The system feeds back this information to calculate correction factors that are applied to the degradation evaluation, creating a closed-loop measurement process that automatically compensates for photobleaching without requiring complex external control systems.
3Loss of information
If fluorescence intensity is used to evaluate degradation, then functional groups can be detected, but photobleaching makes it difficult to distinguish measurement effects from degradation effects
Solution Approach 1:
The patent applies periodic action by measuring fluorescence spectra at multiple discrete time points during continuous irradiation. This periodic sampling captures the temporal evolution of fluorescence intensity, allowing the system to distinguish between rapid photobleaching effects and slower degradation effects based on their different time scales, thereby preserving functional group detection capability while improving degradation assessment accuracy.
Data Source
AI summary
An analysis method includes acquiring first information concerning the optical density of the functional group based on a first fluorescence spectrum measured by irradiating a predetermined region of the sample with first light, acquiring second information concerning the optical density based on a second fluorescence spectrum measured by irradiating at least a part of the predetermined region with second light after the irradiation of the first light, and acquiring third information concerning degradation of the sample based on the first information and the second information.