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Method for using microwave spraying freeze-drying to intelligently detect moisture content and texture in high-sugar fruit

An intelligent detection and fruit technology, applied in measuring devices, analyzing materials, measuring magnetic variables, etc., can solve problems such as complex fruit detection technology, and achieve the effects of improving detection work efficiency and product integrity, short time consumption, and convenient operation.

Inactive Publication Date: 2018-09-11
JIANGNAN UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method for intelligently detecting the moisture content and texture of high-sugar fruits by microwave spraying and freeze-drying, using nuclear magnetic resonance detection technology to solve the problem on the basis of ensuring the shape and nutritional components of fruit materials to the greatest extent. There are problems with complex fruit detection technology, to achieve non-destructive, convenient and intelligent detection

Method used

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  • Method for using microwave spraying freeze-drying to intelligently detect moisture content and texture in high-sugar fruit
  • Method for using microwave spraying freeze-drying to intelligently detect moisture content and texture in high-sugar fruit

Examples

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Effect test

Embodiment 1

[0034] Example 1 Intelligent detection of moisture content and texture of apple grains during negative pressure and low frequency microwave spray freeze-drying

[0035] After the apples are cleaned with water, peeled and cored, cut into cubes of 10×10×10mm; the apples are evenly placed on a tray made of stainless steel mesh, and placed in a quick-freezer at -67°C for freezing , freezing time 2h; pour the frozen apples into the drying bin at -42°C, turn on the vacuum pump, and when the vacuum reaches 70Pa, start the heating system (low-frequency microwave, 915MHz) to enter the freeze-drying stage, and pulse spraying during this process The working setting of the system is: open for 0.4s, close for 10min; in the process of negative pressure low frequency microwave spray freeze-drying, staged sampling for low-field nuclear magnetic resonance analysis, to obtain the transverse relaxation time T of the sample 2 curve (eg figure 1 ) and each response signal parameter, the peaks app...

Embodiment 2

[0041] Example 2 Intelligent detection of dry moisture content and texture of pears during negative pressure low frequency microwave spray freeze-drying process

[0042] After cleaning the pears with clean water, peel and core, cut into cubes of 10×10×10mm; spread the pears evenly on a tray made of stainless steel mesh, and place them in a quick-freezing warehouse at -67°C. Freezing, freezing time 2h; pour the frozen pears into the drying chamber at -42°C, turn on the vacuum pump, and when the vacuum reaches 70Pa, start the heating system (low frequency microwave, 915MHz) to enter the freeze-drying stage, and pulse spraying during this process The working setting of the system is: open for 0.4s, close for 10min; in the process of negative pressure low frequency microwave spray freeze-drying, staged sampling for low-field nuclear magnetic resonance analysis, to obtain the transverse relaxation time T of the sample 2 curve (eg figure 2 ) and each response signal parameter, the...

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Abstract

The invention discloses a method for using microwave spraying freeze-drying to intelligently detect the moisture content and texture in a high-sugar fruit, and belongs to the technical field of intelligent identification of fruit and vegetable drying quality. The method adopts the microwave spraying freeze-drying technique to dry fresh fruits and vegetables, fruit and vegetable samples after beingcleaned, peeled and denucleated and cut into blocks are subjected to quick-freezing treatment for 2 hours at the temperature of -67 DEG C, after that, microwave spraying freeze-drying is conducted till drying is ended. Periodic sampling is conducted in the freeze-drying process, the samples are subjected to low field nuclear magnetic resonance analysis, the hardness of the materials is measured by using a texture analyzer, meanwhile the moisture content is measured, and a relation equation between the nuclear magnetism response signal parameters and the moisture content and the hardness of the materials is built up. By utilizing the low field nuclear magnetic resonance technique, the method solves the technical problem of drying quality detection in an original fruit and vegetable dryingprocess on the basis that the fruit shape is guaranteed to the largest extent, undamaged, convenient, rapid and intelligent detection is achieved, the detection working efficiency and product integrity are improved, and the quality change in the drying process is effectively monitored.

Description

technical field [0001] The invention relates to a method for intelligently detecting the moisture content and texture of high-sugar fruit by microwave spraying and freeze-drying, and belongs to the technical field of intelligent identification of drying quality of fruits and vegetables. Background technique [0002] As living organisms, fresh fruits and vegetables have the characteristics of high water content, perishability, and strong seasonality. In addition to the main component of water, fresh fruits and vegetables contain a small amount of carbohydrates, proteins, fats, vitamins, rich minerals and dietary fiber, which are of great significance in human nutritional supplements. The seasonality and perishable characteristics of fruits and vegetables determine that they cannot be stored for a long time under normal conditions. It is particularly important to extend the shelf life and maximize the preservation of their nutrients through technical processing methods. [00...

Claims

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Application Information

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IPC IPC(8): G01N24/08
CPCG01N24/08G01N24/082G01R33/448
Inventor 张慜李琳琳王玉川范东翠
Owner JIANGNAN UNIV
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