Size-Selective Optical Spectroscopy via Diffusion

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Solution Overview

Problem

Existing spectroscopic techniques struggle to simultaneously analyze the chemical structure and size of compounds in mixtures, due to limitations such as sensitivity to molecular/particle size, overlapping spectral signatures, and requirements for specific equipment or conditions.

Innovation Solution

The method involves creating a liquid volume with a mixture having an initial concentration difference between interconnected sub-volumes, allowing for the measurement of a time-dependent spectrum as molecules diffuse. This approach correlates diffusion coefficients with particle size, enabling simultaneous determination of molecular sizes and spectra using techniques like Diffusion Ordered-InfraRed SpectroscY (IR-DOSY).

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional spectroscopic techniques are used to analyze chemical structure, then direct information on chemical structure is obtained, but sensitivity to molecular/particle size is insufficient

Engineering Contradiction:
Improvechemical structure identificationVSAvoidmolecular size information
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent transforms the conventional one-dimensional spectral analysis into a two-dimensional analysis by incorporating temporal dimension. Time-dependent spectra are collected as molecules diffuse through the measurement volume, creating a time-resolved spectral dataset that simultaneously encodes both chemical structure (spectral features) and size (diffusion rate) information.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent changes the temporal parameter of the measurement by collecting spectra at multiple time points rather than a single snapshot. This time-resolved approach allows differentiation of molecules based on their diffusion characteristics, where smaller molecules reach the measurement volume faster than larger ones, thereby encoding size information in the temporal evolution of spectral signals.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If size-selective techniques like dynamic light scattering are used, then size distribution profile is determined, but information on molecular structure is limited

Engineering Contradiction:
Improvesize distribution measurementVSAvoidmolecular structure information
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent merges two previously separate measurement capabilities into a single technique: structural identification from spectroscopy and size determination from diffusion measurements. By combining time-resolved spectral data with diffusion modeling, the system simultaneously provides both molecular structure identification and size distribution information.

Inventive Principle:
Principle #5Merging (Combining)

3Measurement precision

If spectroscopic techniques are used for mixture analysis, then chemical composition is identified, but overlapping spectral signatures make it difficult to distinguish compounds

Engineering Contradiction:
Improvechemical composition identificationVSAvoidspectral peak distinction
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent applies preliminary separation based on diffusion rates before spectral analysis. Smaller molecules diffuse into the measurement volume first, followed by progressively larger molecules. This temporal pre-separation reduces spectral overlap by ensuring that at any given time point, the dominant spectral contributions come from molecules of similar size, making peak assignment and compound identification easier.

Inventive Principle:
Principle #10Preliminary action

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 allows for the simultaneous characterization of molecular size and chemical structure in mixtures, overcoming limitations of existing techniques by providing direct information on chemical structure through IR vibrational frequencies and size information through diffusion constants.

Implementation Method 1

A time-dependent spectrum is measured of light interacting with a respective measurement location in a respective sub-volume, while the concentration difference at least partially equilibrates by diffusion of the different molecules between the different sub-volumes

Methodology Applied
Scientific EffectDiffusion: Diffusion

Implementation Method 2

For example, a (linear) IR absorption spectrum can be used to measure respective vibrational modes in various molecules

Methodology Applied
Scientific EffectAbsorption Spectroscopy: Absorption Spectroscopy

Implementation Method 3

infrared (IR) spectroscopy, also referred to as vibrational spectroscopy, is used to measure the interaction of matter with infrared light

Methodology Applied
Scientific EffectVibrational spectroscopy: Absorption Spectroscopy

Data Source

PatentUS20250198912A1Size-selective optical spectroscopy
Publication Date: 2025.06.19 THE UNIV OF AMSTERDAM
  • US20250198912A1 patent drawing
  • US20250198912A1 patent drawing
  • US20250198912A1 patent drawing

AI summary

A spectroscopic method and system for simultaneously analyzing molecular structure and size, of a single compound or of a mixture (M) of different molecules (M1, M2). A liquid volume (V) is provided with the mixture (M) having an initial concentration difference (ΔM) between different sub-volumes (Vm,Vs) which are fluidly interconnected and arranged at different locations along a spatial coordinate (X). A time-dependent spectrum (α[t,vj) is measured of light (L) interacting with part of the liquid volume (V), while the concentration difference (ΔM) at least partially equilibrates by diffusion of the different molecules (M1, M2) between the different sub-volumes (Vm,Vs) along the spatial coordinate (X). The time-dependent spectrum (α[t,vj) comprises respective distinct spectral signatures (α1,α2) of the respective different molecules (M1, M2). Each spectral signature (α1,α2) can have a distinct time-dependent evolution (τ1,τ2) in the time-dependent spectrum (α[t,vj) resulting from respective distinct diffusion characteristics (D1,D2) of the different molecules (M1, M2).