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Study on CAT activity of tomato leaf cells under salt stress based on microhyperspectral imaging and transfer
Longguo Wu1, Yao Zhang2, Qiufei Jiang3
1School of Wine & Horticulture, Ningxia University, Yinchuan 750021, China; Ningxia Modern Facility Horticulture Engineering Technology Research Center, Yinchuan 750021, China.
Summary
Microscopic hyperspectral imaging visually detects catalase activity in tomato leaves under salt stress. This method accurately quantifies catalase response, aiding in understanding plant stress mechanisms.
Area of Science:
- Plant Physiology
- Spectroscopy
- Biochemistry
Background:
- Salt stress induces oxidative stress in tomato leaves, increasing catalase (CAT) activity.
- Visual in situ detection of sub-cellular CAT activity is needed for mechanism analysis.
- Microscopic hyperspectral imaging offers a potential solution for dynamic CAT activity monitoring.
Purpose of the Study:
- To develop and validate a microscopic hyperspectral imaging method for in situ detection of CAT activity in tomato leaves under salt stress.
- To establish theoretical foundations for exploring the detection limits of CAT activity.
- To analyze the relationship between salt concentration and CAT activity.
Main Methods:
- Acquisition of 298 microscopic hyperspectral images (400-1000 nm) from tomato leaves under varying salt concentrations (0-3 g/L).
- Extraction of regions of interest based on sample reflectance and CAT activity.
- Application of characteristic wavelength extraction methods (SPA, IVISSA, IRFJ, GAPLSR, CARS) and chemometric models (PLSR, PCR, CNN, LSSVM).
Main Results:
- CAT activity increased with salt concentration and growth period.
- The partial least-squares regression (PLSR) model using IRFJ-extracted wavelengths showed the best performance (Rp=0.81, RMSEP=58.03 U/g).
- A prediction model for microarea cells achieved Rp=0.71 and RMSEP=23.00 U/g.
- Quantitative visualization revealed CAT activity distribution consistent with color trends.
Conclusions:
- Microhyperspectral imaging combined with chemometrics is a feasible and effective method for detecting and visualizing CAT activity in tomato leaves.
- The developed method provides insights into plant responses to salt stress at a microscopic level.
- This approach lays the groundwork for further studies on stress detection limits in plants.
Keywords:
Catalase activityMicroscopic hyperspectral imaging techniqueSalt stressTomato leaf cellsTransfer learningMore Related Videos
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