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Device and method for intelligently detecting dielectric property of fruits and vegetables in microwave-vacuum drying based on low-field nuclear magnetism

A technology of microwave vacuum drying and dielectric properties, which is applied in the analysis by nuclear magnetic resonance and preservation of fruits/vegetables by dehydration, etc., can solve the problems of long drying time and high cost, and achieve short time consumption, accurate and effective judgment, and model prediction. good performance

Inactive Publication Date: 2019-05-24
JIANGNAN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the contrary, freeze-drying can retain the nutrients of fruits and vegetables to the greatest extent, but the drying time is long and the cost is high

Method used

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  • Device and method for intelligently detecting dielectric property of fruits and vegetables in microwave-vacuum drying based on low-field nuclear magnetism
  • Device and method for intelligently detecting dielectric property of fruits and vegetables in microwave-vacuum drying based on low-field nuclear magnetism
  • Device and method for intelligently detecting dielectric property of fruits and vegetables in microwave-vacuum drying based on low-field nuclear magnetism

Examples

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Effect test

Embodiment 1

[0034] Example 1: Intelligent detection of dielectric properties of microwave-dried yam based on low-field NMR Take 100 g of yam that has been cleaned, peeled, and sliced, and dry it in a microwave vacuum oven. The microwave power is set to 400W, and the vacuum degree is 15kPa. Sampling once every 10min for low-field nuclear magnetic resonance analysis, the specific acquisition parameters are: TW (waiting time) = 3000ms, TE (echo time) = 0.6ms, NECH (echo number) = 5000, NS (scanning times) = 16, The CPMG decay curve is multi-exponentially fitted using the SRIT algorithm to obtain the transverse relaxation time T of the sample 2 curve (eg figure 2 ) and each response signal parameter, the peaks appearing from left to right on the coordinate axis in the figure represent bound water peak, immobile water peak and free water peak respectively. The dielectric properties of the corresponding samples at 2450 MHz were measured by a vector network analyzer. The database of a large n...

Embodiment 2

[0035] Embodiment 2: Intelligent detection of dielectric properties of microwave-dried apples based on low-field NMR. Take 100 g of apples that have been cleaned, peeled, and sliced, and dry them in a microwave vacuum oven. The microwave power is set to 600W, and the vacuum degree is 15kPa. Sampling once every 5min for low-field nuclear magnetic resonance analysis, the specific acquisition parameters are: TW (waiting time) = 5000ms, TE (echo time) = 0.8ms, NECH (echo number) = 5000, NS (scanning times) = 32, The CPMG decay curve is multi-exponentially fitted using the SRIT algorithm to obtain the transverse relaxation time T of the sample 2 curve (eg Figure 4 ) and each response signal parameter. A vector network analyzer was used to measure the dielectric properties of the corresponding samples at 915MHz. A database of a large number of sample dielectric properties and their corresponding NMR response parameters was obtained through repeated experiments, and a regression m...

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Abstract

The invention provides a device and a method for intelligently detecting dielectric property of fruits and vegetables in microwave-vacuum drying based on low-field nuclear magnetism and belongs to thetechnical field of intelligent detection on drying quality of fruits and vegetables. The microwave vacuum drying technology is adopted for drying fruits and vegetables; sampling is carried out by stages during drying; samples are subjected to low-field nuclear magnetism analysis; dielectric property of the same samples is determined through a vector network analyzer; acquired dielectric propertydata and nuclear magnetism result parameter of the samples are analyzed, and a regression model for expressing the relation between the dielectric property data and the nuclear magnetism result parameter is built by partial least squares regression method, and dielectric property of unknown samples can be predicted according to the model. According to the device and the method, the low-field nuclear magnetism resonance technology is adopted to solve the problem about special requirements on shape and thickness of materials in the conventional dielectric property detection for fruits and vegetables, nondestructive, convenient and intelligent detection on variation of dielectric property in drying process of fruits and vegetables is achieved, and a powerful basis for regulating and controlling microwave power in intelligent drying is provided.

Description

technical field [0001] The invention relates to a device and method for intelligently detecting the dielectric properties of microwave vacuum-dried fruits and vegetables by low-field NMR, and belongs to the technical field of intelligent identification of dried fruits and vegetables. Background technique [0002] As an important part of human food, fruits and vegetables have a high market share, and their rich vitamins, organic acids and active substances are of great benefit to human health. However, the high moisture content, perishability and strong seasonal characteristics make the post-harvest processing of fruits and vegetables particularly important. Through drying, the fruits and vegetables are made into finished products, which not only prolongs the shelf life, but also promotes the further development of the fruit and vegetable industry through deep processing of fruits and vegetables. There are many technologies that can be used for drying fruits and vegetables. ...

Claims

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Application Information

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IPC IPC(8): G01N24/08A23B7/02
CPCA23B7/02G01N24/08
Inventor 张慜李琳琳王玉川范东翠杨培强
Owner JIANGNAN UNIV