CN106290442A - Utilize the method for body component content in low-field nuclear magnetic resonance technology for detection mice - Google Patents
Utilize the method for body component content in low-field nuclear magnetic resonance technology for detection mice Download PDFInfo
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- 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
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Abstract
The invention provides and a kind of utilize the method for body component content in low-field nuclear magnetic resonance technology for detection mice, comprise the steps: that choosing experiment mice carries out low-field nuclear magnetic resonance analysis, CPMG pulse sequence method is utilized to gather nmr echo signal, it is thus achieved that echo attenutation curve data；Body fluid to every experiment mice sample respectively, fat and lean meat content measure, it is thus achieved that body fluid, fat and lean meat content data；By meterological software matching, set up body fluid, fat and the regression model of lean meat content；Regression model is estimated；Measure the echo attenutation curve data of testing sample.The method of the present invention, can be under waking state, and body fluid, fat, lean meat content in detection mice simultaneously, quick and precisely, and measurement process need not anesthesia, not destroys mice itself.
Description
Technical field
The present invention relates to body composition of animal content detection field, utilize low-field nuclear magnetic resonance technology for detection particularly to one
The method of body fluid, fat and lean meat content in mice.
Background technology
Body fluid in animal body, fat, lean meat content often can embody the health status of animal.At existing animal body
In body composition measurement method, traditional whole body chemical composition analytic process is to measure the goldstandard of body composition, but this method
Process length, workload are big, and need to kill animal, therefore animal can not be carried out measurement repeatedly.
New mensuration body composition of animal technology, such as Bioelectrical impedance analysis, dual energy x-ray absorption process, computerized tomography
Scanning and MR imaging method etc..These methods are required for anaesthetizing animal or calm, make laboratory animal keep definitely
Motionless state, but anesthesia or calmness will bring animal ingestion amount to reduce, the side effect such as hypothermia, and have dead
Risk.In addition with isotope-dilution analysis and whole body electrical conductivity method etc., the numerical value that these methods record is not accurate enough, and cannot
Change to body composition is tracked research.
Summary of the invention
It is an object of the invention to, for prior art in the blank of body composition of animal context of detection, propose one and utilize
Body fluid, fat and the method for lean meat content in low-field nuclear magnetic resonance technology Fast nondestructive evaluation mice, simultaneously, it is ensured that method letter
Single, quick, accurate, environmental protection.
For reaching above-mentioned purpose, the invention provides one and utilize body composition in low-field nuclear magnetic resonance technology for detection mice to contain
The method of amount, comprises the steps:
S1, choose some of 10～30g experiment mice, as detection sample；
S2, mouse samples described in step S1 is carried out low-field nuclear magnetic resonance analysis, utilize CPMG pulse sequence method to gather core
Magnetic resonance echo signals, it is thus achieved that echo attenutation curve data；
Described CPMG pulse sequence parameter is: 90 degree of pulsewidth P1:13 μ s, 180 degree of pulsewidth P2:26 μ s, and repeated sampling waits
Time Tw:1000-10000ms, analog gain RG1:[10 to 20, be integer], digital gain DRG1:[2 to 5, it is whole
Number], pre-amp gain PRG:[1,2,3], NS:4,8,16, NECH:1000-10000, receiver bandwidth SW:100,200,
300KHz, starts control parameter RFD:0.002-0.05ms in sampling time, time delay D L1:0.1-0.5ms；
S3, mice are measured: dissected by mice sample described in step S1, isolate the lean meat of mouse systemic, as little
Mus lean meat detection sample, other parts are as body fluid and fat detection sample；
Respectively the body fluid and fat dissecting every the mice sample obtained is detected sample and lean meat detection sample carries out body
Liquid parameter, fat parameter and the measurement of lean meat parameter, it is thus achieved that body fluid, fat and lean meat content data；
Use 105 DEG C of body fluid drying the constant weight method described mice sample of mensuration and fat detection sample and lean meat detection sample
This, it is thus achieved that the body fluid content of mice sample described in step S1；Soxhlet extraction is used to measure described body fluid and fat detection sample,
Obtain the fat content of mice sample described in step S1；Described lean meat content contains equal to protein in described lean meat detection sample
Amount, moisture and the summation of content of ashes, wherein protein content is by Kjeldahl nitrogen determination, and moisture is by 105 DEG C of bakings
Dry constant weight method measures, and content of ashes is measured by 550 DEG C of calcination methods；
105 DEG C of drying constant weight methods of moisture in the described lean meat measuring mice sample body fluid content and mice sample
Concrete operations are:
(1) weigh with scale every mice sample body fluid and fat detection sample and lean meat detection sample weight；
(2) described body fluid and fat are detected sample or lean meat detection sample is respectively placed in 105 DEG C of baking ovens, every 2h days
The flat weight checking described body fluid and fat detection sample or lean meat detection sample, weigh with scale after constant weight described body again
Liquid and fat detection sample or lean meat detect the weight of sample；It is calculated described body fluid and fat detection sample or lean meat detection
The moisture of sample；
(3) the described body fluid of same mice sample and the moisture of fat detection sample and lean meat detection sample are added
It is the body fluid content of described mice sample.
The concrete operations of the described soxhlet extraction measuring mice sample fat content are:
(1) the described body fluid and fat detection sample of having measured body fluid content are ground into powder and are placed in petroleum ether, add
Hot reflux, extracts described body fluid and the fat of fat detection sample；
(2) use rotary evaporator evaporated in vacuo petroleum ether, after constant weight, weigh the fat weight extracted, be mice
The fat content of sample.
In the described lean meat measuring mice sample, the concrete operations of the Kjeldahl's method of protein content are:
(1) take part measured moisture in lean meat described lean meat detection sample digest, carry out blank simultaneously
Experiment；
(2) with half kjeldahl apparatus distillation to neutral；
(3) using HCI solution is lavender, record salt acid consumption and blank experiment salt acid consumption, by calculating
Obtain the protein content in described mice sample lean meat.
In described measurement mice lean meat, the concrete operations of 550 DEG C of calcination methods of content of ashes are:
Take part to have measured the described lean meat detection sample of moisture in lean meat and be placed in crucible and weigh, place into 550
DEG C Muffle furnace in heat 6～8h, weigh after cooling, obtain the content of ashes in described mice sample lean meat.
S4, by described echo attenutation curve data and described body fluid, fat and lean meat content data by meterological software
Using partial least-square regression method (PLSR) and principal component regression method (PCR) to be fitted, set up body fluid, fat and lean meat contain
The regression model of amount；
S5, the evaluation of model: according to the coefficient R of described forecast of regression model value Yu actual valuecal 2And Rcv 2, mean square
Described regression model is estimated by root error RMSEC and prediction standard deviation SEP；
S6, the echo attenutation curve data of mensuration testing sample, utilize the most evaluated described body fluid, fat and lean meat to contain
The regression model of amount, is analyzed the echo attenutation curve data of testing sample, obtains corresponding body fluid, and fat and lean meat contain
The predictive value of amount.
Under optimal way, experiment mice described in step S1 is kunming mice, ICR mice, LACA mice, NIH mice；Measure
Time, select the mice varied in weight as model sample.
The technological innovation of the present invention is:
1, the detection method operating process that the present invention relates to is simple, and mouse samples to be measured is without pre-treatment, reproducible, point
The analysis time is short, to mice without destroying, after establishing the regression model for predicting to every other mouse samples to be measured only
Needing to measure echo attenutation curve data can be by forecast of regression model body fluid, and fat and lean meat content are surveyed for non-intrusion type
Metering method, and the body fluid of mice can be measured simultaneously, fat and lean meat content, the numerical value of detection is accurate, stable, improves survey
Amount efficiency, can meet to live body, the animal do not anaesthetized carry out quick body composition detection.
2, the inventive method need not anaesthetize animal or calm, not damages animal, makes laboratory animal keep
Absolutely motionless state, will not give examined animal bring because of anesthesia or calm and produce food ration minimizing, hypothermia,
Even dead problem.
3, the inventive method is done the mouse strain tested carry out the foundation of body component content model, for studying from now on to conventional
Experiment about the change of Mice Body component content provides conveniently.
4, isotope-dilution analysis determines the amount without fatty tissue by the calculating to whole body total Water, thus obtains
Fat mass, this method it is crucial that assume that the non-fat tissue of about 73% is all water, to measure bring the biggest the most true
Qualitative and error.Whole body electrical conductivity method, principle is to utilize fatty tissue the most non-conductive, and water and electrolyte then become good leading
Isoelectric substance, records lean meat content indirectly by measuring electrical conductivity, and then by being calculated fat mass, but this method records
Numerical value not accurate enough, the atomic little error of cutability can cause the error that fat mass is the biggest, and cannot be to body composition
Change be tracked research.The inventive method is relative to existing isotope-dilution analysis, whole body electrical conductivity method etc., the numerical value recorded
More accurate, and the change of body composition can be tracked research.
In sum, use nuclear magnetic resonance technique to carry out Mice Body component analysis, be the most potential quick inspection of one
Survey new technique.
Accompanying drawing explanation
Fig. 1 is the echo attenutation curve of the body component content of Kunming mouse sample of the present invention；
Fig. 2 is that the predictive value of the regression model that Kunming mouse body fluid content is set up by principal component regression method (PCR) is with true
Value returns spectrogram；
Fig. 3 is that the predictive value of the regression model that Kunming mouse fat content is set up by principal component regression method (PCR) is with true
Value returns spectrogram；
Fig. 4 is that the predictive value of the regression model that Kunming mouse lean meat content is set up by principal component regression method (PCR) is with true
Value returns spectrogram；
Fig. 5 is the predictive value of the regression model that Kunming mouse body fluid content is set up by partial least-square regression method (PLSR)
Spectrogram is returned with actual value；
Fig. 6 is the predictive value of the regression model that Kunming mouse fat content is set up by partial least-square regression method (PLSR)
Spectrogram is returned with actual value；
Fig. 7 is the predictive value of the regression model that Kunming mouse lean meat content is set up by partial least-square regression method (PLSR)
Spectrogram is returned with actual value.
Detailed description of the invention
In order to make those skilled in the art be better understood from the present invention, below in conjunction with detailed description of the invention, the present invention is entered
One step explanation.
Embodiment 1
Mice used in following embodiment, as a example by Kunming mouse, but is not limited to Kunming mouse, as long as body weight is at 10-
30 grams all can be suitable for.
Experimental technique used in following embodiment if no special instructions, is conventional method.
Material used in following embodiment, reagent etc., if no special instructions, the most commercially obtain.
It is embodied as step as follows:
Instrumental correction: parameter is set to: 90 degree of pulsewidth P1:13 μ s, 180 degree of pulsewidth P2:26 μ s, the repeated sampling waiting time
Tw:3000ms, analog gain RG1:15, digital gain DRG1:3, pre-amp gain PRG:1, NS:8, NECH:5000, receive
Machine bandwidth SW:200KHz, starts control parameter RFD:0.002ms in sampling time, time delay D L1:0.5ms.
Sample is measured: sample low field nmr analysis: use Mini MR-Rat magnetic resonance imaging analysis instrument to 30 Kunming mouses
Sample carries out low field nmr analysis, utilizes CPMG pulse sequence, measures Kunming mouse T2 T2, it is thus achieved that echo attenutation is bent
Line.As shown in Figure 1 (representative curve for typical sample be given in figure).
The present embodiment to measure the body fluid of each mice sample, fat, lean meat content, respectively with the nuclear-magnetism of every mice
Data are corresponding.Each mice sample has all needed its body fluid, fat, the mensuration of lean meat content.First carry out body fluid and thin
The mensuration of moisture in meat, then carry out determination of fat；Then the lean meat sample through determination of moisture is divided into
Two parts, carrying out protein content and the mensuration of content of ashes in lean meat respectively, the most empirically sample accounts for mouse muscle total amount
Ratio, converses protein content and content of ashes in the lean meat of every mice；Finally carry out can be calculated every mice
Body fluid, fat, lean meat content.
The assay method of body fluid content: 105 DEG C of concrete operations drying constant weight method are:
Detecting sample with the muscle of scalpel separation Kunming mouse body whole body as Kunming mouse body lean meat, other parts are as body
Liquid and fat detection sample, the body fluid of every the Kunming mouse body that weighs with scale respectively and fat detection sample and lean meat detection sample
Weight；Described body fluid and fat detecting sample or lean meat detection sample is respectively placed in 105 DEG C of baking ovens, every 2h balance is examined
Look into described body fluid and fat detection sample or lean meat detection sample weight, again weigh with scale after constant weight described body fluid and
Fat detection sample or the weight of lean meat detection sample；It is calculated described body fluid and fat detection sample or lean meat detection sample
Moisture；Described body fluid and the fat of same Kunming mouse body sample are detected sample and the moisture of lean meat detection sample
It is added, is the body fluid content of Kunming mouse body sample.Measurement result is as shown in table 1.
Determination of fat method: utilization has measured the body fluid of body fluid content and the fatty sample that detects carries out fat content
Mensuration, owing to measuring the loss not having fat during body fluid, so the mensuration for fat does not affect.By surveying
Surely the fat content of 30 mices can be respectively obtained.Kunming mouse will be dried pulverize, wrap with filter paper, by round-bottomed flask in 105 DEG C
Drying baker is dried to constant weight, filter paper bag is put in extractor, in round-bottomed flask, add 150ml petroleum ether, connect extracting
Device, connects condensed water, extracts 9h at water bath with thermostatic control 90 DEG C, and evaporation removes petroleum ether, is dried in 105 DEG C of exsiccators of round-bottomed flask
2h so that it is thoroughly volatilize, weighs flask weight, calculates Kunming mouse fat content, and measurement result is as shown in table 1.
The mensuration of lean meat: Kunming mouse lean meat content=protein content+content of ashes+moisture.
Measuring protein content, use Kjeldahl's method, laboratory sample amount is about 0.2g；Measure ash laboratory sample amount
For about 3g.
Kjeldahl's method surveys protein content: demarcating 0.1mol/L hydrochloric acid, weighing part has measured the lean meat of body fluid content
Detection sample, digests sample, carries out blank experiment simultaneously, adds 0.2g copper sulfate, 6g potassium sulfate, then adds 20ml concentrated sulphuric acid,
200 DEG C of heating, then rise to 420 DEG C, liquid is aeruginous and clear, with half kjeldahl apparatus distillation to neutral, uses hydrochloric acid
Being titrated to solution is lavender, record salt acid consumption and blank experiment salt acid consumption, calculates Kunming mouse protein content.
Content of ashes: the sample drying after (550 DEG C of calcination methods) takes surname extraction fat is weighed, and takes part and weighs, crucible
Being placed in calcination in Muffle furnace to weigh for 1 hour, sample is put in crucible, is placed in calcination 8h in 550 DEG C of Muffle furnaces, weighs after cooling,
Calculate Kunming mouse content of ashes.
By Kunming mouse lean meat content=protein content+content of ashes+moisture, it is calculated the lean meat of Kunming mouse
Content, result is as shown in table 1.
The foundation of model: by echo attenutation relaxation curve data and the body fluid content of Kunming mouse sample, fat content and thin
Meat content is fitted by meterological software respectively, utilizes principal component regression method (PCR) and PLS algorithm
(PLSR) PCR (calibration set, validation-cross collection) and PLSR that, set up body fluid content, fat content and lean meat are (calibration set, mutual
Checking collection) regression model.Software used in the present embodiment is unscrambler9.7, it should be noted that described metering
Learning software can be any can to carry out principal component regression method (PCR) and PLS algorithm (PLSR) is analyzed and set up
The software of regression model, is not limited to the citing of the present embodiment.
The optimal main cause subnumber set up needed for model is determined by prediction residue variance and main constituent Figure of the quantitative relationship.As
PCR forecast of regression model body fluid content shown in table 2, the optimal main cause subnumber needed for fat content and lean meat content model is respectively
It is 7,8 and 9.
Table 1 Kunming mouse body component content
The parameter of table 2 Kunming mouse body component content PCR model
30 Kunming mouses to be measured (age 6-8 week, purchased from Dalian Medical Univ's Experimental Animal Center) sample fluid, fat and
The mensuration of lean meat content: Kunming mouse sample to be measured is carried out low-field nuclear magnetic resonance, it is thus achieved that echo attenutation curve data, by utilizing
The body fluid having built up, fat and lean meat content PCR and PLSR regression model, the echo attenutation curve to Kunming mouse sample to be measured
Data are analyzed, and obtain corresponding body fluid, fat and the predictive value of lean meat content.
The PCR regression model of Kunming mouse body fluid content as shown in Figure 2, calibration set and validation-cross collection coefficient Rcal 2With
Rcv 2It is respectively 0.9664,0.9406.Such as the PCR regression model of Fig. 3 Kunming mouse fat content, calibration set and validation-cross collection phase
Close coefficients Rcal 2And Rcv 2It is respectively 0.9707,0.9304.Such as the PCR regression model of Fig. 4 Kunming mouse lean meat content, calibration set and
Validation-cross collection coefficient Rcal 2It is respectively 0.9937,0.9850 with Rcv2.PLSR prediction Kunming mouse body fluid contains as shown in table 3
Measuring, the optimal main cause subnumber needed for the regression model of fat content and lean meat content is respectively 6,7 and 7.Kunming mouse as shown in Figure 5
The PLSR regression model of body fluid content, calibration set and validation-cross collection coefficient Rcal 2And Rcv 2It is respectively 0.9769,
0.9429.The PLSR regression model of Kunming mouse fat content as shown in Figure 6, calibration set and validation-cross collection coefficient Rcal 2With
Rcv 2It is respectively 0.9913,0.9544.The PLSR regression model of Kunming mouse lean meat content, calibration set and validation-cross as shown in Figure 7
Collection coefficient Rcal 2It is respectively 0.9973,0.9802 with Rcv2.
The parameter of table 3 Kunming mouse body component content PLSR model
The evaluation of model: table 2 shows Kunming mouse body fluid, fat and the evaluation result of lean meat content PCR regression model.Body
The PCR calibration set regression model of liquid and the result of validation-cross collection are close, coefficient Rcal 2And Rcv 2It is all higher than 0.94, mean square
Root error RMSEC and prediction standard deviation SEP are respectively 0.5275 and 0.6674, the least, utilize PCR model prediction Kunming mouse body
Liquid hold-up error less (table 4), illustrates that low-field nuclear magnetic resonance method combines PCR regression model and can predict Kunming mouse body exactly
Liquid hold-up.The PCR regression model coefficient R of fatcal 2And Rcv 2Being all higher than 0.93, root-mean-square error RMSEC and SEP are respectively
It is 0.1071 and 0.1576, the least, utilize PCR model prediction Kunming mouse fat content error less (table 5), low field core is described
Magnetic resonance method combines PCR regression model can predict the fat content of Kunming mouse exactly.The PCR regression model of lean meat is correlated with
Coefficients Rcal 2And Rcv 2Being all higher than 0.98, root-mean-square error RMSEC and SEP are respectively 0.1876 and 0.2803, the least, utilize
PCR model prediction Kunming mouse lean meat content error less (table 6), illustrating that low-field nuclear magnetic resonance method combines PCR regression model can
To predict the lean meat content of Kunming mouse exactly.Table 3 shows Kunming mouse body fluid, fat and lean meat content PLSR regression model
Evaluation result.The PLSR regression model calibration set of body fluid and the result of validation-cross collection are close, coefficient Rcal 2And Rcv 2The biggest
In 0.94, root-mean-square error RMSEC and prediction standard deviation SEP are respectively 0.4436 and 0.6604, the least, utilize PLSR model
Prediction Kunming mouse body fluid content error less (table 7), illustrating that low-field nuclear magnetic resonance combines PLSR regression model can be the most pre-
Survey the body fluid content of Kunming mouse.The PLSR forecast model coefficient R of fatcal 2And Rcv 2It is all higher than 0.95, root-mean-square error
RMSEC and SEP is respectively 0.0583 and 0.1283, the least, utilizes PLSR model prediction Kunming mouse fat content error less
(table 8), illustrates that low-field nuclear magnetic resonance method combines PLSR regression model and can predict the fat content of Kunming mouse exactly.Lean meat
PLSR forecast model coefficient Rcal 2And Rcv 2Being all higher than 0.98, root-mean-square error RMSEC and SEP are respectively 0.1239 He
0.3264, the least, utilize PLSR model prediction Kunming mouse lean meat content error less (table 9), low-field nuclear magnetic resonance side is described
Method combines PLSR regression model can predict the lean meat content of Kunming mouse exactly.
Table 4 Kunming mouse body fluid PCR model prediction
Table 5 Kunming mouse fat PCR model prediction
Table 6 Kunming mouse lean meat PCR model prediction
Table 7 Kunming mouse body fluid PLSR model prediction
Table 8 Kunming mouse fat PLSR model prediction
Table 9 Kunming mouse lean meat PLSR model prediction
To sum up, by the checking to regression model, it can be seen that what the method for the employing present invention was set up is used for predicting Kunming
Mus body fluid, fat and the regression model of lean meat content, either use principal component regression method (PCR) or use offset minimum binary
Regression algorithm (PLSR) is fitted, and can be accurately used for predicting the body fluid of Kunming mouse, and fat and lean meat content, to be measured
Kunming mouse sample is without destroying, easy and simple to handle, can improve detection speed.
The above, the only present invention preferably detailed description of the invention, but protection scope of the present invention is not limited thereto,
Any those familiar with the art in the technical scope of present disclosure, according to technical scheme and
Inventive concept equivalent or change in addition, all should contain within protection scope of the present invention.
Claims (2)
1. one kind utilizes the method for body component content in low-field nuclear magnetic resonance technology for detection mice, it is characterised in that include as follows
Step:
A kind of utilize the method for body component content in low-field nuclear magnetic resonance technology for detection mice, comprise the steps:
S1, choose some of 10～30g experiment mice, as detection sample；
S2, mouse samples described in step S1 is carried out low-field nuclear magnetic resonance analysis, utilize CPMG pulse sequence method to gather nuclear-magnetism altogether
Shake echo-signal, it is thus achieved that echo attenutation curve data；
Described CPMG pulse sequence parameter is: 90 degree of pulsewidth P1:13 μ s, 180 degree of pulsewidth P2:26 μ s, the repeated sampling waiting time
Tw:1000-10000ms, analog gain RG1:[10 to 20, be integer], digital gain DRG1:[2 to 5, it is integer], front
Storing large gain PRG:[1,2,3], NS:4,8,16, NECH:1000-10000, receiver bandwidth SW:100,200,300KHz,
Start control parameter RFD:0.002-0.05ms in sampling time, time delay D L1:0.1-0.5ms；
S3, mice are measured: dissected by mice sample described in step S1, isolate the lean meat of mouse systemic, thin as mice
Meat detection sample, other parts are as body fluid and fat detection sample；
Respectively the body fluid and fat dissecting every the mice sample obtained is detected sample and lean meat detection sample carries out body fluid ginseng
Parameter several, fatty and the measurement of lean meat parameter, it is thus achieved that body fluid, fat and lean meat content data；
Use 105 DEG C of body fluid drying the constant weight method described mice sample of mensuration and fat detection sample and lean meat detection sample, obtain
Obtain the body fluid content of mice sample described in step S1；Soxhlet extraction is used to measure described body fluid and fat detection sample, it is thus achieved that
The fat content of mice sample described in step S1；Described lean meat content is equal to protein content, water in described lean meat detection sample
Dividing content and the summation of content of ashes, wherein protein content is dried constant weights by Kjeldahl nitrogen determination, moisture by 105 DEG C
Method measures, and content of ashes is measured by 550 DEG C of calcination methods；
In the described lean meat measuring mice sample body fluid content and mice sample, 105 DEG C of drying constant weight methods of moisture is concrete
Operation is:
(1) weigh with scale every mice sample body fluid and fat detection sample and lean meat detection sample weight；
(2) described body fluid and fat detecting sample or lean meat detection sample is respectively placed in 105 DEG C of baking ovens, every 2h balance is examined
Look into described body fluid and fat detection sample or lean meat detection sample weight, again weigh with scale after constant weight described body fluid and
Fat detection sample or the weight of lean meat detection sample；It is calculated described body fluid and fat detection sample or lean meat detection sample
Moisture；
(3) the described body fluid of same mice sample and the moisture of fat detection sample and lean meat detection sample are added and are
The body fluid content of described mice sample；
The concrete operations of the described soxhlet extraction measuring mice sample fat content are:
(1) the described body fluid and fat detection sample of having measured body fluid content are ground into powder and are placed in petroleum ether, heat back
Stream, extracts described body fluid and the fat of fat detection sample；
(2) use rotary evaporator evaporated in vacuo petroleum ether, after constant weight, weigh the fat weight extracted, be mice sample
Fat content；
In the described lean meat measuring mice sample, the concrete operations of the Kjeldahl's method of protein content are:
(1) take part measured moisture in lean meat described lean meat detection sample digest, carry out blank experiment simultaneously；
(2) with half kjeldahl apparatus distillation to neutral；
(3) using HCI solution is lavender, and record salt acid consumption and blank experiment salt acid consumption, by being calculated
Protein content in described mice sample lean meat；
In described measurement mice lean meat, the concrete operations of 550 DEG C of calcination methods of content of ashes are:
Take part to have measured the described lean meat detection sample of moisture in lean meat and be placed in crucible and weigh, place into 550 DEG C
Muffle furnace heats 6～8h, weighs after cooling, obtain the content of ashes in described mice sample lean meat；
S4, by described echo attenutation curve data and described body fluid, fat and lean meat content data are used by meterological software
Partial least-square regression method (PLSR) and principal component regression method (PCR) are fitted, and set up body fluid, fat and lean meat content
Regression model；
S5, the evaluation of model: according to the coefficient R of described forecast of regression model value Yu actual valuecal 2And Rcv 2, root-mean-square error
Described regression model is estimated by RMSEC and prediction standard deviation SEP；
S6, the echo attenutation curve data of mensuration testing sample, utilize the most evaluated described body fluid, fat and lean meat content
Regression model, is analyzed the echo attenutation curve data of testing sample, obtains corresponding body fluid, fat and lean meat content
Predictive value.
Utilize the method for body component content, its feature in low-field nuclear magnetic resonance technology for detection mice the most according to claim 1
Being, experiment mice described in step S1 is kunming mice, ICR mice, LACA mice or NIH mice.
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| CN110658101A (en) * | 2019-10-18 | 2020-01-07 | 大连工业大学 | Method for detecting moisture change of sea cucumber in microwave vacuum drying process |
| CN114460121A (en) * | 2022-01-28 | 2022-05-10 | 中国农业科学院农业质量标准与检测技术研究所 | Method for detecting water content and fat content of livestock meat by using low-field nuclear magnetic resonance technology |
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