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Label-Free Fried Starchy Matrix: Investigation by Harmonic Generation Microscopy
Agathe Chouët1, Sylvie Chevallier2, Romain Fleurisson3
1Oniris, Univ Nantes, CNRS, GEPEA, UMR 6144, F-44000 Nantes, France. agathe.chouet@oniris-nantes.fr.
Sensors (Basel, Switzerland)
|May 5, 2019
Summary
This study introduces a non-destructive harmonic generation microscopy method to map starch and oil in fried foods. This technique allows for detailed microstructure analysis without sample preparation.
Area of Science:
- Food Science
- Microscopy
- Biochemistry
Background:
- Traditional methods for analyzing food microstructure often require sample destruction.
- Identifying and locating specific components like starch and oil within complex food matrices can be challenging.
Purpose of the Study:
- To develop and demonstrate a non-destructive method for analyzing the microstructure of fried starchy foods.
- To detect and map starch granules and oil distribution within a fried matrix.
- To perform topography analysis of food products.
Main Methods:
- Utilized harmonic generation microscopy, a non-linear optical technique.
- Employed specific fluorescent probes (Safranin O for starch, Nile red for oil) for targeted labeling.
- Integrated fluorescence signals with Second Harmonic Generation (SHG) and Third Harmonic Generation (THG) signals.
- Performed sequential scanning with specific emission filters for signal superposition.
Main Results:
- Successfully mapped starch granules using SHG and Safranin O fluorescence.
- Investigated food product topography using THG, independent of fluorescent probes.
- Achieved label-free microstructure investigation of starch granules and oil distribution.
- Demonstrated the ability to obtain starch granule mapping and topography without destructive sample preparation.
Conclusions:
- Harmonic generation microscopy offers a powerful, non-destructive approach for food microstructure analysis.
- This label-free methodology is highly promising for investigating a wide range of starchy food products.
- The technique enables simultaneous visualization of biochemical components and surface topography.
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