CN109799255A - A kind of device and method of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric property - Google Patents
A kind of device and method of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric property Download PDFInfo
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- CN109799255A CN109799255A CN201910156449.XA CN201910156449A CN109799255A CN 109799255 A CN109799255 A CN 109799255A CN 201910156449 A CN201910156449 A CN 201910156449A CN 109799255 A CN109799255 A CN 109799255A
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- A—HUMAN NECESSITIES
- A23—FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
- A23B—PRESERVING, e.g. BY CANNING, MEAT, FISH, EGGS, FRUIT, VEGETABLES, EDIBLE SEEDS; CHEMICAL RIPENING OF FRUIT OR VEGETABLES; THE PRESERVED, RIPENED, OR CANNED PRODUCTS
- A23B7/00—Preservation or chemical ripening of fruit or vegetables
- A23B7/02—Dehydrating; Subsequent reconstitution
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N24/00—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects
- G01N24/08—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects by using nuclear magnetic resonance
Abstract
The present invention provides a kind of device and method of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric property, belongs to fruit and vegetable dryness quality Weigh sensor technical field.The present invention carries out fruit and vegetable dryness using microwave vacuum drying technology, and interim sampling in drying process carries out low-field nuclear magnetic resonance analysis to sample, and same sample measures dielectric property using vector network analyzer.Obtained example dielectric characteristic data and nuclear-magnetism result parameter are analyzed, the regression model of expression both sides relation is established using partial least-squares regression method, the dielectric property prediction of unknown sample is carried out according to this model.The present invention utilizes low-field nuclear magnetic resonance technology, solve the particular/special requirement in original fruits and vegetables dielectric property detection to material shapes and thickness, lossless, the convenient, intelligent measurement that dielectric property changes during realization fruit and vegetable dryness, the regulation for microwave power in intelligence drying provide strong foundation.
Description
Technical field
The present invention relates to a kind of device and methods of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric property, belong to
In fruit and vegetable dryness quality Weigh sensor technical field.
Background technique
Important component of the fruits and vegetables as human foods, has very high occupation rate of market, and vitamin abundant has
Machine acid and active material etc. are very beneficial to human health.However water content is high, perishable and seasonal strong feature, so that
The processing of postharvest fruit and vegetable is particularly important.By dry mode, finished product is made in fruits and vegetables, not only extends shelf life, it is right
The deep processing of fruits and vegetables can promote the further development of fruits and vegetables industry again.There are many technology that can be used for fruit and vegetable dryness, traditional hot wind
Drying process is easy, and expense is low, but drying process carries out under high temperature aerobic conditions, seeks to vitamin, the polyphenol etc. in fruits and vegetables
Forming point has degradation, reduces the nutritive value of product.On the contrary, freeze-drying can retain the battalion of fruits and vegetables to the greatest extent
It forms point, but drying time is long, it is costly.Microwave vacuum drying technology carries out material using the inside heat characteristic of microwave fast
Rapid-curing cutback is dry, and vacuum environment can reduce moisture evaporating temperature and accelerate drying process, and reduce the battalion of the fruits and vegetables as caused by oxidation reaction
The loss formed point.Mention microwave drying, it has to which the concept mentioned is the dielectric property of material, it is to influence microwave to do
Dry important parameter.Its medium dielectric constant microwave medium (ε ') indicates material coupling microwaves, stores the ability of microwave；Dielectric loss factor (ε ")
Indicate the ability that material absorbs microwave.The drying property of material is directly affected by its dielectric property.
Current dry industry flourishes, and people have been not content with the drying mode on basis, to drying process automation, intelligence
The requirement that Detection & Controling can be changed is higher and higher, using sensor, intelligent detecting method, Real-time Feedback intelligence control system as core
Intelligent integral control equipment application be drying equipment development inexorable trend.
Low-field nuclear magnetic resonance (LF-NMR) technology is a kind of quick, sensitive new non-destructive testing technology, is widely used in
The analysis of water flow and distribution characteristics in food.In food there is complicated interaction in component and water, pass through moisture shape
The measurement of state reflects the information of heterogeneity indirectly, and theoretical based on this, low-field nuclear magnetic resonance technology is widely used as food system
The means that each component quickly detects during working process.Spirit according to nuclear magnetic resonance technique to same species different cultivars difference
Quick response identification, the technology are used as the differentiation of different food qualities.Tan Minggan etc. (patent publication No.: 106018452A) is open
A kind of peanut varieties lossless detection method based on nuclear magnetic resonance technique, using Principal Component Analysis to each peanut sample
CPMG sequence inverting data are handled, and the principal component scores scatter plot of each peanut sample is obtained；Using identical CPMG sequence
Nuclear magnetic resonance transverse relaxation scanning is carried out to unknown kind peanut sample, principal component is carried out to the CPMG sequence inverting data of acquisition
Analysis, compares the kind that established principal component scores scatter plot determines unknown kind peanut sample.(the patent disclosures such as Tan Minggan
Number: the method for identifying different gill fish-eggs using low field nuclear-magnetism technology CN105806872A) is disclosed using similar analysis method.
Different from both above-mentioned from the identification macroscopically to peanut and gill fish-egg kind, this patent is to fruits and vegetables certain quality --- dielectric
The Accurate Prediction of characteristic.
For food processing treatment process often with the variation of physicochemical property, conventional physicochemical analysis means are time-consuming and have
The Fast nondestructive evaluation of destructiveness, low-field nuclear magnetic resonance technology shows outstanding advantage in the monitoring of process quality.Tan
Bright dry equal (patent publication No.: CN105424739A) discloses a kind of side based on nuclear magnetic resonance technique non-destructive testing sea cucumber self-dissolving
Method, using magnetic resonance analyzer acquisition sea cucumber sample CPMG sequence and carry out data inversion and obtain transverse relaxation map, according to
The degree that relaxation peak moves to left judges the variation of free water content in sea cucumber body.And it is obtained using the imaging function of magnetic nuclear resonance analyzer
Take the T of sea cucumber sample1And T2Weighted imaging, from the variation of image intuitive judgment combination water and Free water in storage.Tan Ming
Dry equal (patent publication No.: 106018453A) also discloses a kind of caviar quality based on low-field nuclear magnetic resonance technology and quickly examines
Survey method is established caviar moisture content, fat content and value of chromatism information database in pickling processing and storage, is led to
It crosses correlation analysis and database information comparison evaluates the quality of unknown caviar.Li et al. (2014) utilizes low-field nuclear magnetic resonance skill
Art detects the variation of Fresh Grade Breast drying process moisture state, finds between nuclear magnetic resonance parameter and Fresh Grade Breast water content and shearing force
Correlation.It is above-mentioned to judge the variation of moisture state according to constants of nuclear magnetic resonance and image and carry out the side of quality identification by correlation
Method accuracy is to be improved, and the Partial Least-Squares Regression Model that this patent is established improves the accuracy of prediction.
Low-field nuclear magnetic resonance technology macroscopical can not only judge the general trend of food processing process quality comparison, great Liang Yan
Studying carefully proof, it also has outstanding behaviours in terms of Accurate Prediction chemical composition content and physical characteristic, and such research generally requires knot
Mold type analysis means.Zhang etc. (2017) establishes the line between low-field nuclear magnetic resonance parameter and ferment sausage moisture content
Property equation, relation equation show good estimated performance in the sample room of specific oil content.Tan Minggan etc. (patent publication No.:
CN105606637A a kind of method using moisture and fat content in low-field nuclear magnetic resonance technology detection abalone) is disclosed, is led to
It crosses CPMG sequence and carries out nuclear magnetic resonance transverse relaxation respectively to abalone sample and scan to obtain relevant parameter, while using conventional method
Abalone water content and fat content are measured, the recurrence mould of the abalone moisture based on low-field nuclear magnetic resonance technology and fat content is established
Type carries out nuclear magnetic resonance transverse relaxation scanning using identical CPMG sequence to unknown abalone sample, by based on this
Its water content of the forecast of regression model of foundation and fat content.(2010) such as Thybo etc. (2003) and Hansen use low field core
Magnetic resonance analyzer is measured the response parameter changing rule of potato sample, and combines the measured value of dry matter content, adopts
The relationship with the foundation of multivariable Partial Least-Squares Regression Model between the two is returned with single variable linear, realizes quickly detection.This
A little researchs combine certain mathematical analysis means, partially most such as linear regression, multivariable based on low-field nuclear magnetic resonance technology
Small two multiply the relationship that nuclear-magnetism response parameter Yu the research object index of quality are established in recurrence etc., to realize quickly detection.This patent
Outstanding feature is in contrast, a set of microwave drying fruits and vegetables dielectric property intelligent measurement based on low field nuclear-magnetism of autonomous Design
Device, it can be achieved that drying process fruits and vegetables dielectric property intelligent measurement.
In the present invention, moisture content of material, state are in continually changing process in dry processing, have dependence to it
Dielectric property is also in continuous variation.Using the testing principle of nuclear magnetic resonance technique, Hydrogen Proton is in magnetic field by pulse
Excite obtained lateral relaxation time signal, the contained nuclear number with fixed magnetic moment in relaxation signals intensity and sample
Mesh is directly proportional, and the constituent structure of signal attenuation process and measured matter is closely related, can provide the physical chemistry ring inside core
The valuable information such as border.
The present invention devises the device of a set of microwave drying fruits and vegetables dielectric property intelligent measurement based on low field nuclear-magnetism, to micro-
The dielectric property of fruits and vegetables and relaxed characteristics carry out multipoint acquisition in wave drying process, and the data that will acquire use Partial Least Squares
Regression model is established, to realize the quick detection to unknown sample dielectric property, and experiments supporting device is made and is discussed in detail.
Summary of the invention
The object of the present invention is to provide a kind of devices of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric property
And method carries out lossless, intelligent measurement to the dielectric property of material in drying process, and be situated between using low-field nuclear magnetic resonance technology
Continue mating detection device, contributes share for intelligent dry development.
Technical solution of the present invention:
A kind of device of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric property, which includes microwave vacuum
Drying box 1, sample particle 2, material sucking port 3, microwave source 4, take-off valve 5, separator 6, vent valve 7, oil-sealed vacuum pump 8, water ring are true
Sky pump 9, solenoid valve for sampling 10, vector network analyzer 11, industrial personal computer 12 and low-field nuclear magnetic resonance instrument 13；
Multilayer carrying disk is set in the micro-wave vacuum case 1, and sample particle 2, sample particle 2 are put in carrying disk upper berth
Top material sucking port 3 is set, material sucking port 3 by the separator 6 outside pipeline and micro-wave vacuum case 1, material sucking port 3 with separate
Take-off valve 5 is set on the pipeline between device 6, for controlling the amount for entering the sample particle 2 of separator 6；The lower end of separator 6 connects
Low-field nuclear magnetic resonance instrument 13 is connect, solenoid valve for sampling 10 is set therebetween, for controlling the sample for entering low-field nuclear magnetic resonance instrument 13
The amount of product particle 2；Low-field nuclear magnetic resonance instrument 13 is successively connected with industrial personal computer 12, vector network analyzer 11；The side of separator 6
Oil-sealed vacuum pump 8 is connected, vent valve 7 is set therebetween；The bottom of micro-wave vacuum case 1 passes through pipeline and water ring vacuum pump
9 are connected, and microwave source 4 are arranged at the top of micro-wave vacuum case 1, for providing microwave energy for micro-wave vacuum case 1.
Further, the installed power of the micro-wave vacuum case 1 is 5kW, and vacuum degree adjustable range is 15-
101kPa。
Further, the vector network analyzer 11 includes that E5062A type vector network analyzer and mating measurement are visited
Head.
Further, the low-field nuclear magnetic resonance instrument 13 is PQ001 type low-field nuclear magnetic resonance analyzer.
Device is using steps are as follows: firstly, open micro-wave vacuum case 1, vector network analyzer 11, industrial personal computer 12 and
Low-field nuclear magnetic resonance instrument 13.Sample particle 2 is put on carrying disk upper berth in micro-wave vacuum case 1, and micro-wave vacuum is arranged
The corresponding parameter of case 1, take-off valve 5, vent valve 7, solenoid valve for sampling 10 remain off, and water ring vacuum pump 9 are opened, to vacuum
When degree reaches setting value, microwave source 4 is opened, drying starts.Secondly, closing microwave source 4, water ring after dry arrival setting time
Vacuum pump 9 opens oil-sealed vacuum pump 8, separator 6 is vacuumized, when its vacuum degree is true lower than what micro-wave vacuum case 1 was arranged
Reciprocal of duty cycle closes oil-sealed vacuum pump 8, adjusts take-off valve 5, and 2 part of sample particle enters separator 6 by top material sucking port 3, closes
Take-off valve 5 opens vent valve 7, and sample particle 2 enters the bottom of separator 6, opens solenoid valve for sampling 10, sample enters low field
Nuclear Magnetic Resonance 13 carries out nuclear magnetic data acquisition, while vector network analyzer 11 acquires sample dielectric spy by industrial personal computer 12
Property；Finally, closing vent valve 7, solenoid valve for sampling 10 after the completion of the above process, water ring vacuum pump 9 is opened, is reached to vacuum degree
Setting value opens microwave source 4, dry to continue.
A kind of method of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric property, mainly comprises the steps that
(1) micro-wave vacuum: the fruits and vegetables sample after cutting process is placed in carrying disk, and setting microwave loads power,
Micro-wave vacuum is carried out at absolute vacuum degree 15kPa, and interim sampling is carried out in entire microwave-vacuum drying；
(2) measurement of dielectric property: the sample particle 2 acquired using 11 Duis of vector network analyzer carries out dielectric property
Measurement；The dielectric map of 100-3000MHz range is obtained using the method for frequency scanning, chooses Jie of 915 and 2450MHz two o'clock
The result of electric constant and loss factor values as example dielectric characteristic.
(3) low-field nuclear magnetic resonance is analyzed: being carried out low-field nuclear magnetic resonance analysis to the sample particle 2 of acquisition, is obtained sample
The relaxation time T of grain 22Curve and every response signal parameter；Every response signal parameter includes lateral relaxation time
And peak area, the lateral relaxation time include combining water relaxation time T21, be not easy circulating water relaxation time T22, Free water relax
Henan time T23Totally 3 kinds；The peak area includes combining water peak area A21, be not easy circulating water peak area A22, Free water peak area A23
With totally 4 kinds of peak area A of whole water；
(4) foundation and evaluation of the micro-wave vacuum fruits and vegetables dielectric property prediction model based on low field nuclear-magnetism: pass through list
Secondary drying experiment stage sampling and repetition drying experiment obtain the corresponding nuclear-magnetism response signal of a large amount of example dielectric characteristics
Parameter database establishes regression model, and the phase according to forecast of regression model value and actual measured value using Partial Least Squares
Close coefficients R2It is evaluated with root-mean-square error RMSE；
(5) low-field nuclear magnetic resonance analysis, invocation step the intelligent measurement of fruits and vegetables dielectric property: are carried out to unknown sample
(4) dielectric property of forecast of regression model current sample is obtained in.
Step (3) the low-field nuclear magnetic resonance analysis uses Carr-Purcell-Meiboom-Gill (CPMG) pulse sequence
Column acquisition proton decay signal, obtains CPMG attenuation curve, specific acquisition parameter are as follows: TW (waiting time) is arranged range and is
1000-10000ms, TE (echo time)=0-1ms, NECH (number of echoes)=1000-10000, NS (scanning times)=4,8,
16,32, CPMG attenuation curve is subjected to multi index option fitting using SRIT algorithm, obtains the lateral relaxation time T of sample2Curve and
Corresponding nuclear-magnetism response signal parameter.
The corresponding nuclear-magnetism response signal parameter opening relationships equation of example dielectric characteristic described in the step (4)
When, it needs to make peak area mass normalisation processing.
In sample nuclear-magnetism response signal parameter described in the step (4) relaxation time of different component water and peak area with
When dielectric property establishes regression model, need to guarantee the consistency of sample to be tested.
Beneficial effects of the present invention: (1) present invention utilizes the detection technique of low-field nuclear magnetic resonance, solves original fruits and vegetables dielectric
To the particular/special requirement of material shapes and thickness in Characteristics Detection, lossless, convenient, intelligent measurement is realized, improve detection work effect
Rate and product integrality.(2) operation of the present invention is convenient, process is simple, and model prediction performance is good, and testing result accuracy is high, consumes
When it is short, may be implemented drying process material dielectric property variation effective monitoring.(3) method proposed by the present invention can accurately have
Dielectric property changes during effect judges fruit and vegetable dryness, and the regulation for microwave power in intelligence drying provides strong foundation.
Detailed description of the invention
Fig. 1 is experimental provision schematic diagram.
Fig. 2 Chinese yam microwave vacuum does process T2Curve.
Fig. 3 is the model predication value of unknown Chinese yam sample and the relationship of measured value.Wherein, (a) be permittivity ε ', (b)
For fissipation factor ε ".
Fig. 4 is that apple microwave vacuum does process T2Curve.
Fig. 5 is the model predication value of unknown apple product and the relationship of measured value.Wherein, (a) be permittivity ε ', (b) be
Fissipation factor ε ".
In figure: 1 micro-wave vacuum case；2 sample particles；3 material sucking ports；4 microwave sources；5 take-off valves；6 separators；7 deflate
Valve；8 oil-sealed vacuum pumps；9 water ring vacuum pumps；10 solenoid valve for samplings；11 vector network analyzers；12 industrial personal computers；13 low field nuclear-magnetisms
Resonate instrument.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Embodiment 1: the microwave drying Chinese yam dielectric property intelligent measurement based on low field nuclear-magnetism is learnt from else's experience cleaning, peeling, slice
Chinese yam 100g, in carrying out drying in micro-wave vacuum case, microwave power is set as 400W, vacuum degree 15kPa, drying process
In every 10min sampling is primary carries out low-field nuclear magnetic resonance analysis, specific acquisition parameter are as follows: TW (waiting time)=3000ms, TE
CPMG attenuation curve is used SRIT by (echo time)=0.6ms, NECH (number of echoes)=5000, NS (scanning times)=16
Algorithm carries out multi index option fitting, obtains the lateral relaxation time T of sample2Curve (such as Fig. 2) and each response signal parameter are sat in figure
The peak that parameter occurs from left to right respectively represents in conjunction with water peak, is not easy to flow water peak and free water peak.And using vector network point
Analyzer measures dielectric property of the counter sample at 2450MHz.Experiment is repeated several times and obtains a large amount of example dielectric characteristics and its
The database of corresponding nuclear-magnetism response parameter establishes regression model using Partial Least Squares, Chinese yam permittivity ε ' recurrence
Model R2It is respectively 0.978 and 2.782, the regression model R of fissipation factor ε " with RMSE2It is respectively 0.918 and 1.093 with RMSE,
With good model performance.In dielectric property intelligent measurement, unknown Chinese yam sample is placed in the dryness storehouse of Fig. 1 shown device
It is inside dried, when dry progress to selected any point-in-time, closes microwave, opening take-off valve draws material to nuclear-magnetism
In detection device setting-out slot, on-line checking is carried out to the moisture state of sample, above-mentioned established model is used for dielectric property
Prediction, repeat multipoint acquisition nuclear magnetic signal and simultaneously predict its dielectric property, obtain the relationship of ε ' and ε " predicted value and measured value such as
Fig. 3 has good estimated performance.
Embodiment 2: the microwave drying apple dielectric property intelligent measurement based on low field nuclear-magnetism is learnt from else's experience cleaning, peeling, slice
Apple 100g, in carrying out drying in micro-wave vacuum case, microwave power is set as 600W, vacuum degree 15kPa, drying process
In every 5min sampling is primary carries out low-field nuclear magnetic resonance analysis, specific acquisition parameter are as follows: TW (waiting time)=5000ms, TE
CPMG attenuation curve is used SRIT by (echo time)=0.8ms, NECH (number of echoes)=5000, NS (scanning times)=32
Algorithm carries out multi index option fitting, obtains the lateral relaxation time T of sample2Curve (such as Fig. 4) and each response signal parameter.And it uses
Vector network analyzer measures dielectric property of the counter sample at 915MHz.Experiment is repeated several times and obtains a large amount of sample dielectrics
The database of the corresponding nuclear-magnetism response parameter of characteristic establishes regression model, apple dielectric constant using Partial Least Squares
The regression model R of ε '2It is respectively 0.971 and 2.499, the regression model R of fissipation factor ε " with RMSE2It is respectively 0.936 with RMSE
With 1.271, good model performance is shown.In dielectric property intelligent measurement, unknown apple sample is placed in dress shown in Fig. 1
It is dried in the dryness storehouse set, when dry progress to selected any point-in-time, closes microwave, opening take-off valve makes material
It draws into nuclear-magnetism detection device setting-out slot, on-line checking is carried out to the moisture state of sample, above-mentioned established model is used
In the prediction of apple dielectric property, repeat multipoint acquisition nuclear magnetic signal and simultaneously predict its dielectric property, obtain ε ' and ε " predicted value and
The relationship of measured value such as Fig. 5 has good estimated performance.
Claims (10)
1. a kind of device of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric property, which is characterized in that the device packet
It includes micro-wave vacuum case (1), sample particle (2), material sucking port (3), microwave source (4), take-off valve (5), separator (6), deflate
Valve (7), oil-sealed vacuum pump (8), water ring vacuum pump (9), solenoid valve for sampling (10), vector network analyzer (11), industrial personal computer
(12) and low-field nuclear magnetic resonance instrument (13)；
Multilayer carrying disk is set in the micro-wave vacuum case (1), and sample particle (2), sample particle are put in carrying disk upper berth
(2) material sucking port (3) are arranged in top, material sucking port (3) separator (6) phase external with micro-wave vacuum case (1) by pipeline
Even, take-off valve (5) are set on the pipeline between material sucking port (3) and separator (6), for controlling the sample into separator (6)
The amount of particle (2)；The lower end of separator (6) connects low-field nuclear magnetic resonance instrument (13), and solenoid valve for sampling (10) are arranged therebetween,
For controlling the amount for entering the sample particle (2) of low-field nuclear magnetic resonance instrument (13)；Low-field nuclear magnetic resonance instrument (13) successively with industry control
Machine (12), vector network analyzer (11) are connected；The side of separator (6) connects oil-sealed vacuum pump (8), and setting is put therebetween
Air valve (7)；The bottom of micro-wave vacuum case (1) is connected by pipeline with water ring vacuum pump (9), micro-wave vacuum case (1)
Microwave source (4) are arranged in top, for providing microwave energy for micro-wave vacuum case (1).
2. the apparatus according to claim 1, which is characterized in that the installed power of the micro-wave vacuum case (1) is
5kW, vacuum degree adjustable range are 15-101kPa.
3. device according to claim 1 or 2, which is characterized in that the vector network analyzer (11) includes
E5062A type vector network analyzer and mating measurement probe.
4. device according to claim 1 or 2, which is characterized in that the low-field nuclear magnetic resonance instrument (13) is PQ001 type
Low-field nuclear magnetic resonance analyzer.
5. device according to claim 3, which is characterized in that the low-field nuclear magnetic resonance instrument (13) is that PQ001 type is low
Field nuclear magnetic resonance analyzer.
6. using a kind of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric of any device of claim 1-5
The method of characteristic, which comprises the following steps:
(1) micro-wave vacuum: the fruits and vegetables sample after cutting process is placed in carrying disk, and setting microwave loads power, exhausted
To micro-wave vacuum is carried out under vacuum degree 15kPa, interim sampling is carried out in entire microwave-vacuum drying；
(2) dielectric property the measurement of dielectric property: is carried out using the sample particle (2) of vector network analyzer (11) to acquisition
Measurement；The dielectric map of 100-3000MHz range is obtained using the method for frequency scanning, chooses Jie of 915 and 2450MHz two o'clock
The result of electric constant and loss factor values as example dielectric characteristic；
(3) low-field nuclear magnetic resonance is analyzed: being carried out low-field nuclear magnetic resonance analysis to the sample particle (2) of acquisition, is obtained sample particle
(2) relaxation time T2Curve and every response signal parameter；Every response signal parameter includes lateral relaxation time
And peak area, the lateral relaxation time include combining water relaxation time T21, be not easy circulating water relaxation time T22, Free water relax
Henan time T23Totally 3 kinds；The peak area includes combining water peak area A21, be not easy circulating water peak area A22, Free water peak area A23
With totally 4 kinds of peak area A of whole water；
(4) foundation and evaluation of the micro-wave vacuum fruits and vegetables dielectric property prediction model based on low field nuclear-magnetism: dry by single
Dry experimental stage property sampling and repetition drying experiment obtain the corresponding nuclear-magnetism response signal parameter of a large amount of example dielectric characteristics
Database establishes regression model, and the phase relation according to forecast of regression model value and actual measured value using Partial Least Squares
Number R2It is evaluated with root-mean-square error RMSE；
(5) intelligent measurement of fruits and vegetables dielectric property: low-field nuclear magnetic resonance analysis carried out to unknown sample, in invocation step (4)
Obtain the dielectric property of forecast of regression model current sample.
7. according to the method described in claim 6, it is characterized in that, the analysis of the step (3) low-field nuclear magnetic resonance uses Carr-
Purcell-Meiboom-Gill pulse sequence acquisition proton decay signal obtains CPMG attenuation curve, specific acquisition parameter are as follows:
It is 1000-10000ms that range, which is arranged, in waiting time TW, and echo time TE=0-1ms, number of echoes NECH=1000-10000 are swept
Times N S=4,8,16,32 are retouched, CPMG attenuation curve is subjected to multi index option fitting using SRIT algorithm, the lateral of sample is obtained and relaxes
Henan time T2Curve and corresponding nuclear-magnetism response signal parameter.
8. according to the method described in claim 6, it is characterized in that, example dielectric characteristic described in the step (4) is right with it
When the nuclear-magnetism response signal parameter opening relationships equation answered, need to make peak area mass normalisation processing.
9. the method according to the description of claim 7 is characterized in that example dielectric characteristic described in the step (4) is right with it
When the nuclear-magnetism response signal parameter opening relationships equation answered, need to make peak area mass normalisation processing.
10. according to method described in claim 7,8 or 9, which is characterized in that the response of sample nuclear-magnetism described in the step (4)
When the relaxation time of different component water and peak area and dielectric property establish regression model in signal parameter, need to guarantee to be tested
The consistency of sample.
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| CN201910156449.XA CN109799255A (en) | 2019-03-01 | 2019-03-01 | A kind of device and method of low field nuclear-magnetism intelligent measurement micro-wave vacuum fruits and vegetables dielectric property |
| CA3125703A CA3125703C (en) | 2019-03-01 | 2019-12-06 | Apparatus and method for intelligently detecting dielectric property of fruits and vegetables during microwave vacuum drying based on low-field nuclear magnetic resonance |
| PCT/CN2019/123519 WO2020177422A1 (en) | 2019-03-01 | 2019-12-06 | Apparatus and method for intelligently detecting dielectric property of fruits and vegetables during microwave vacuum drying based on low-field nuclear magnetism |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111406792A (en) * | 2020-04-21 | 2020-07-14 | 中国农业大学 | Method for drying fruits and vegetables by microwave enzyme deactivation and low-field nuclear magnetism |
| WO2020177422A1 (en) * | 2019-03-01 | 2020-09-10 | 江南大学 | Apparatus and method for intelligently detecting dielectric property of fruits and vegetables during microwave vacuum drying based on low-field nuclear magnetism |
| CN115542862A (en) * | 2022-11-04 | 2022-12-30 | 日照鼎立钢构股份有限公司 | Drying scheme decision method and system for improving freeze-drying quality of fruits and vegetables |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112730497A (en) * | 2020-12-21 | 2021-04-30 | 贺州学院 | Vacuum fried pleurotus eryngii strip moisture and grease rapid detection technology based on low-field nuclear magnetic resonance |
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| CN115542862B (en) * | 2022-11-04 | 2023-03-28 | 日照鼎立钢构股份有限公司 | Drying scheme decision method and system for improving freeze-drying quality of fruits and vegetables |
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| CA3125703C (en) | 2023-08-29 |
| CA3125703A1 (en) | 2020-09-10 |
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