Raman Spectroscopy Cellular Water Mapping in Fruit Tissues
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Solution Overview
Problem
Current methods fail to accurately determine the cellular level water content and distribution in fruit and vegetable tissues, particularly in distinguishing between free, immobilized, and bound water, and their locations within the cells.
Innovation Solution
A method utilizing Raman spectroscopy with laser confocal microscopy to scan and analyze water content at the cellular level, involving grid division, Gaussian peak fitting, and pseudocolor imaging to visualize and quantify water distribution and bonding states in fruit and vegetable tissues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If low-field NMR method is used to determine water content and bonding states, then the measurement speed and convenience are improved, but the ability to provide spatial distribution information and quantitative analysis is worsened
Solution Approach 1:
The patent divides the tissue sample into a grid of measurement points, with each point corresponding to a specific cellular location. This segmentation allows the system to collect Raman spectra at multiple discrete locations and reconstruct the spatial distribution of water content and bonding states, thereby obtaining both quantitative data and spatial information simultaneously.
Solution Approach 2:
The patent replaces the low-field NMR method with Raman spectroscopy. Raman spectroscopy provides both quantitative water content measurement and spatial distribution information through optical imaging, eliminating the information loss inherent in NMR methods while maintaining measurement efficiency.
2Measurement precision
If traditional methods like Malin Chick experiment or differential scanning calorimetry are used to determine bound and free water, then the bonding strength classification is improved, but the ability to distinguish immobilized water and locate water inside or outside cells is worsened
Solution Approach 1:
The patent segments the tissue into cellular-level measurement points using optical microscopy guidance. This allows differentiation of water locations (intracellular vs. extracellular) while maintaining the bonding state classification capability through Raman spectral analysis at each segmented location.
Solution Approach 2:
The patent applies local quality analysis by examining Raman spectra at specific cellular locations identified through optical microscopy. This enables the system to determine both the bonding state of water (bound, immobilized, or free) and its precise location within or outside cells, providing localized water state information that traditional bulk methods cannot achieve.
3Measurement precision
If Raman spectroscopy with confocal microscopy is used to achieve cellular level water distribution mapping, then the measurement precision and spatial resolution are improved, but the device complexity and measurement time are worsened
Solution Approach 1:
The patent merges Raman spectroscopy with confocal optical microscopy to create an integrated system. The optical microscopy component provides cellular-level imaging guidance, while the Raman spectroscopy component performs water content and bonding state analysis. This merging allows the system to achieve high spatial resolution water distribution mapping without requiring separate instrumentation for structural imaging and chemical analysis.
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
Enables precise visualization and quantification of water content and bonding states at the cellular level, providing detailed information on water location and state, facilitating the study of water migration during processing and its influence on tissue structure.
Implementation Method 1
A method for testing cellular level water content and distribution in fruit and vegetable tissues based on Raman spectroscopy
Implementation Method 2
selecting a cell region from the sample by the objective lens of the laser confocal microscope
Implementation Method 3
laser confocal microscope for imaging spectrum acquisition
Data Source
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AI summary
The present invention discloses a method for testing cellular level water content and distribution in fruit and vegetable tissues based on Raman spectroscopy. This method comprises preprocessing of samples, acquisition and preprocessing of imaging spectra, Gaussian peak-separation fitting of imaging spectra, pseudocolor imaging according to the fitting results, and visualization of distribution of water content and water bonding state at the cell level. The present invention realizes the visualization of the distribution of water content and water binding state at the cellular level in the fruit and vegetable tissues for the first time, and obtains relatively reliable quantitative analysis results of the content of water with different bonding states according to the visualization imaging results. The present invention, able to be used as a new method for testing cellular level water content in fruit and vegetable tissues, solves the current problem of not being able to detect cellular level water changes in fruit and vegetable processing, and has a good prospect for the research on fruit and vegetables processing.