Method for testing water content and distribution of cellular levels in fruit and vegetable tissues based on Raman spectrum

Abstract

The invention discloses a method for testing the water content and distribution of cellular levels in fruit and vegetable tissues based on the Raman spectrum. The method comprises: carrying out samplepretreatment; carrying out imaging spectrum acquisition and pretreatment; carrying out Gaussian peak separation fitting on the imaging spectrum and carrying out pseudo color imaging based on a fitting result, and carrying out visualization on the water content and combination state distribution of the cellular levels. According to the invention, the visualization of the distribution of the watercontent and the combination state of the cellular levels in the fruit and vegetable tissues is completed for the first time; and relatively reliable water content quantitative analysis results of different combination states are obtained by visual imaging. The disclosed method can be used as a novel testing method for the water contents of the cellular levels in fruit and vegetable tissues. Therefore, a problem that the water changes of the cellular levels can not be detected in the existing fruit and vegetable processing process is solved; and thus the method has the broad prospects in studying the fruit and vegetable processing.

Description

technical field [0001] The invention belongs to the technical field of spectrum detection, and in particular relates to a method for testing the water content and distribution at the cell level in fruit and vegetable tissues based on Raman spectrum. Background technique [0002] As one of the indispensable foods in people's daily life, fruits and vegetables have high water content. However, due to the characteristics of their tissue structure, such as inhomogeneity, porosity, and hygroscopicity, the distribution of water in the tissue is very complicated. According to the study of biological histology, we usually think that most of the water in fruits and vegetables is distributed in the vacuole, cytoplasm, cell wall and extracellular space; and according to the combination degree of water and other substances in the tissue, we divide the water in fruits and vegetables into It is free water, immobile water and bound water, and the water in the vacuole and extracellular space...

AI Technical Summary

Problems solved by technology

Marin Chicke test method, differential scanning calorimetry and differential thermal analysis can all determine the content of bound water and free water in plant tissues, but these methods can only divide the measured water into two kinds, namely bound water and free water. Water, but can not be more detailed to distinguish the non-flowing water between the two, and can not distinguish whether the water is distributed inside or outside the cell; bioimpedance analysis can measure the content of intracellular water and extracellular water, but It is impossible to evaluate the binding degree of intracellular water and extracellular water; low-field nuclear magnetic resonance method is currently the most convenient and quick method to measure free water, non-flowing water and bound water, which can be based on the T of water in the sample 2 The length of the relaxation time is used to judge the degree of combination of water and other substances, and finally the water in the sample is divided into free water (with the longest relaxation time), non-flowing water, and bound water (with the longest relaxation time) according to the length of the relaxation time. The shortest), and determine the ratio of moisture content in different states in the sample according to the area ratio among the three. Quantitative analysis of moisture content is also difficult

Therefore, there is currently no method that can directly measure the water content and water distribution at the cellular level in fruit and vegetable tissues.

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