CN112378996A - Method for rapidly detecting donkey milk adulteration - Google Patents
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- CN112378996A CN112378996A CN202011279356.5A CN202011279356A CN112378996A CN 112378996 A CN112378996 A CN 112378996A CN 202011279356 A CN202011279356 A CN 202011279356A CN 112378996 A CN112378996 A CN 112378996A
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- 235000020250 donkey milk Nutrition 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000001514 detection method Methods 0.000 claims abstract description 70
- 239000013558 reference substance Substances 0.000 claims abstract description 59
- OMOVVBIIQSXZSZ-UHFFFAOYSA-N [6-(4-acetyloxy-5,9a-dimethyl-2,7-dioxo-4,5a,6,9-tetrahydro-3h-pyrano[3,4-b]oxepin-5-yl)-5-formyloxy-3-(furan-3-yl)-3a-methyl-7-methylidene-1a,2,3,4,5,6-hexahydroindeno[1,7a-b]oxiren-4-yl] 2-hydroxy-3-methylpentanoate Chemical compound CC12C(OC(=O)C(O)C(C)CC)C(OC=O)C(C3(C)C(CC(=O)OC4(C)COC(=O)CC43)OC(C)=O)C(=C)C32OC3CC1C=1C=COC=1 OMOVVBIIQSXZSZ-UHFFFAOYSA-N 0.000 claims abstract description 21
- 238000013499 data model Methods 0.000 claims abstract description 15
- 235000020251 goat milk Nutrition 0.000 claims description 10
- 235000013336 milk Nutrition 0.000 claims description 10
- 239000008267 milk Substances 0.000 claims description 10
- 210000004080 milk Anatomy 0.000 claims description 10
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 235000020247 cow milk Nutrition 0.000 description 7
- 239000000126 substance Substances 0.000 description 5
- 235000020256 human milk Nutrition 0.000 description 3
- 210000004251 human milk Anatomy 0.000 description 3
- 108010046377 Whey Proteins Proteins 0.000 description 2
- 102000007544 Whey Proteins Human genes 0.000 description 2
- HVYWMOMLDIMFJA-DPAQBDIFSA-N cholesterol Chemical compound C1C=C2C[C@@H](O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@H]([C@H](C)CCCC(C)C)[C@@]1(C)CC2 HVYWMOMLDIMFJA-DPAQBDIFSA-N 0.000 description 2
- 210000004185 liver Anatomy 0.000 description 2
- 210000002784 stomach Anatomy 0.000 description 2
- 235000021119 whey protein Nutrition 0.000 description 2
- 241000283074 Equus asinus Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000012000 cholesterol Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 210000002216 heart Anatomy 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 235000004213 low-fat Nutrition 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 229920002521 macromolecule Polymers 0.000 description 1
- 235000021049 nutrient content Nutrition 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 210000002307 prostate Anatomy 0.000 description 1
- 235000018102 proteins Nutrition 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 230000028327 secretion Effects 0.000 description 1
- 210000000952 spleen Anatomy 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 235000021122 unsaturated fatty acids Nutrition 0.000 description 1
- 150000004670 unsaturated fatty acids Chemical class 0.000 description 1
- 230000002087 whitening effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/02—Analysing fluids
- G01N29/032—Analysing fluids by measuring attenuation of acoustic waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/02—Analysing fluids
- G01N29/024—Analysing fluids by measuring propagation velocity or propagation time of acoustic waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4409—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison
- G01N29/4418—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by comparison with a model, e.g. best-fit, regression analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/01—Indexing codes associated with the measuring variable
- G01N2291/011—Velocity or travel time
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/01—Indexing codes associated with the measuring variable
- G01N2291/015—Attenuation, scattering
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/022—Liquids
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- Physics & Mathematics (AREA)
- Biochemistry (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Acoustics & Sound (AREA)
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
The invention discloses a method for rapidly detecting donkey milk adulteration, which comprises the steps of preparing a detection object, a reference substance A and a reference substance B which are equal in quantity; establishing a standard data model A, establishing a standard data model B, and establishing detection object data and data comparison: the ultrasonic attenuation data A and the ultrasonic attenuation data B are compared with the ultrasonic attenuation data D, the ultrasonic velocity data A and the ultrasonic velocity data B are compared with the ultrasonic velocity data D, whether the ultrasonic attenuation data D is similar to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is similar to the ultrasonic velocity data A or not are determined, and after comparison, if the ultrasonic attenuation data D is similar to the ultrasonic attenuation data A and the ultrasonic velocity data D is similar to the ultrasonic velocity data A, the fact that the detected donkey milk is not adulterated can be judged as a detection object.
Description
Technical Field
The invention belongs to the field of milk product adulteration detection methods, and particularly relates to a method for rapidly detecting donkey milk adulteration
Background
Donkey milk is a milk treasure closest to human milk, has health care effect on various organs of human body such as heart, stomach, spleen, lung, liver, prostate and the like, and has the nutrient content ratio close to 99% of human milk. The donkey milk is rich in functional whey protein and unsaturated fatty acid. Has the unique functions of prolonging life, strengthening resistance and immunity, protecting liver and stomach, whitening skin and the like. All the functions of donkey milk are natural. The donkey milk has low fat and cholesterol content, the total fat content is 1.29 percent and is 40 percent of cow milk, the donkey milk has high whey protein content accounting for 64.3 percent of total protein content, the human milk is 71 percent and is more than 2 times higher than goat milk and cow milk, the goat milk has fat content of only 3.6 to 4.5 percent, the donkey milk has protein content higher than cow milk and goat milk, and the donkey milk has fat content lower than goat milk and cow milk, but because the donkey has a very short milk production period and extremely low milk production, one milk secretion period only lasts for more than one hundred days, only one jin is produced every day, and the resource is rare and precious. In the past, industrialization has not been established, so that the phenomenon of adulteration in donkey milk exists, and most of donkey milk adulteration is generally mixed into cow milk or goat milk.
Disclosure of Invention
The invention aims to: provides a method for detecting whether donkey milk is adulterated.
The technical scheme adopted by the invention is as follows:
a method for rapidly detecting donkey milk adulteration is characterized by comprising the following steps: the method comprises the following steps:
preparing equal amounts of test subject, control a and control B: the detection object is detected donkey milk, the reference substance A is fresh donkey milk, and the reference substance B is fresh milk; loading the detection object, the control A and the control B into the same sterilized container respectively;
pretreatment: shaking the detection object, the control A and the control B respectively;
establishing a standard data model A: carrying out ultrasonic detection on the reference substance A to obtain ultrasonic attenuation data A of ultrasonic waves passing through the reference substance A and ultrasonic speed data A of the ultrasonic waves passing through the reference substance A;
establishing a standard data model B: carrying out ultrasonic detection on the reference substance B to obtain ultrasonic attenuation data B after the ultrasonic passes through the reference substance B and ultrasonic speed data B of the ultrasonic passing through the reference substance B;
establishing detection object data: carrying out ultrasonic detection on a detection object to obtain ultrasonic attenuation data D after ultrasonic waves pass through the detection object and ultrasonic velocity data D of the ultrasonic waves passing through the detection object;
and (3) data comparison: and comparing the ultrasonic attenuation data A, the ultrasonic attenuation data B and the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data B and the ultrasonic velocity data D, and determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not.
The further technical scheme is as follows: preparing a reference substance C with the same quantity as the detection object, wherein the reference substance C is fresh goat milk, putting the reference substance C into a sterilized container with the same quantity, shaking up the reference substance C, and establishing a standard data model C: carrying out ultrasonic detection on the reference substance C to obtain ultrasonic attenuation data C of ultrasonic waves passing through the reference substance C and ultrasonic speed data C of the ultrasonic waves passing through the reference substance C; and comparing the ultrasonic attenuation data A, the ultrasonic attenuation data C and the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data C and the ultrasonic velocity data D, and determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not.
The further technical scheme is as follows: and comparing the ultrasonic attenuation data A, the ultrasonic attenuation data B, the ultrasonic attenuation data C with the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data B, the ultrasonic velocity data C with the ultrasonic velocity data D, and determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not.
The further technical scheme is as follows: and manufacturing the ultrasonic attenuation data A, the ultrasonic attenuation data B, the ultrasonic attenuation data C and the ultrasonic attenuation data D into an ultrasonic energy attenuation histogram.
The further technical scheme is as follows: and manufacturing the ultrasonic velocity data A, the ultrasonic velocity data B, the ultrasonic velocity data C and the ultrasonic velocity data D into an ultrasonic velocity histogram.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
in the present invention, the same amounts of the test object, control a and control B were prepared: the detection object is detected donkey milk, the reference substance A is fresh donkey milk, and the reference substance B is fresh milk; loading the detection object, the reference substance A and the reference substance B into the same sterilized container respectively; the detection object, the contrast A and the contrast B with the same amount are respectively arranged in the same sterilized container, so that the detection object, the contrast A and the contrast B are different,
establishing a standard data model A: carrying out ultrasonic detection on the reference substance A to obtain ultrasonic attenuation data A of ultrasonic waves passing through the reference substance A and ultrasonic speed data A of the ultrasonic waves passing through the reference substance A; the characteristic features of the contrast A can be represented by ultrasonic attenuation data A and ultrasonic speed data A, and the features which can not be recognized by naked eyes of the contrast A can be represented by the data;
establishing a standard data model B: carrying out ultrasonic detection on the reference substance B to obtain ultrasonic attenuation data B after the ultrasonic passes through the reference substance B and ultrasonic speed data B of the ultrasonic passing through the reference substance B; the special characteristics of the contrast B can be represented by the ultrasonic attenuation data B and the ultrasonic speed data B, and the characteristics which cannot be recognized by naked eyes of the contrast B can be represented by the data;
establishing detection object data: carrying out ultrasonic detection on a detection object to obtain ultrasonic attenuation data D after ultrasonic waves pass through the detection object and ultrasonic velocity data D of the ultrasonic waves passing through the detection object; the characteristic features of the detection object can be represented by ultrasonic attenuation data D and ultrasonic velocity data D, and the features of the contrast object D which can not be identified by naked eyes can be represented by the data;
and (3) data comparison: comparing the ultrasonic attenuation data A, the ultrasonic attenuation data B and the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data B and the ultrasonic velocity data D, determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not, and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not, and judging that the detected donkey milk is not adulterated if the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A and the ultrasonic velocity data D is approximate to the ultrasonic velocity data A after comparison, if the ultrasonic attenuation data D is not approximate to the ultrasonic attenuation data A, judging that the detected donkey milk is adulterated if the ultrasonic attenuation data D is not approximate to the ultrasonic attenuation data A, and if the ultrasonic attenuation data D is between the ultrasonic attenuation data A and the ultrasonic attenuation data B, The ultrasonic velocity data D is between the ultrasonic velocity data A and the ultrasonic velocity data B, and can roughly judge that the donkey milk is mixed with the milk preliminarily.
Drawings
Fig. 1 is a flow chart of a method for rapidly detecting donkey milk adulteration according to the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments.
Example 1: a method for rapidly detecting donkey milk adulteration is characterized by comprising the following steps: the method comprises the following steps:
preparing equal amounts of test subject, control a and control B: the detection object is detected donkey milk, the reference substance A is fresh donkey milk, and the reference substance B is fresh milk; loading the detection object, the control A and the control B into the same sterilized container respectively;
pretreatment: shaking the detection object, the control A and the control B respectively;
establishing a standard data model A: carrying out ultrasonic detection on the reference substance A to obtain ultrasonic attenuation data A of ultrasonic waves passing through the reference substance A and ultrasonic speed data A of the ultrasonic waves passing through the reference substance A;
establishing a standard data model B: carrying out ultrasonic detection on the reference substance B to obtain ultrasonic attenuation data B after the ultrasonic passes through the reference substance B and ultrasonic speed data B of the ultrasonic passing through the reference substance B;
establishing detection object data: carrying out ultrasonic detection on a detection object to obtain ultrasonic attenuation data D after ultrasonic waves pass through the detection object and ultrasonic velocity data D of the ultrasonic waves passing through the detection object;
and (3) data comparison: and comparing the ultrasonic attenuation data A, the ultrasonic attenuation data B and the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data B and the ultrasonic velocity data D, and determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not.
Because the protein content of donkey milk is higher than that of cow milk and goat milk, the fat content of donkey milk is lower than that of goat milk and cow milk, and ultrasonic wave can attenuate when this kind of macromolecular substance of fat is passed through to the ultrasonic wave, and ultrasonic wave speed can reduce when this kind of micromolecule of protein is passed through to the ultrasonic wave, and consequently ultrasonic wave energy attenuation's volume is minimum, ultrasonic wave speed is minimum when the ultrasonic wave passes through fresh donkey milk.
The detection object, the contrast A and the contrast B which are equal in quantity can be ensured to be different by respectively filling the detection object, the contrast A and the contrast B into the same sterilized container;
establishing a standard data model A: carrying out ultrasonic detection on the reference substance A to obtain ultrasonic attenuation data A of ultrasonic waves passing through the reference substance A and ultrasonic speed data A of the ultrasonic waves passing through the reference substance A; the characteristic features of the contrast A can be represented by ultrasonic attenuation data A and ultrasonic speed data A, the features which cannot be identified by naked eyes of the contrast A can be represented by the data, and the ultrasonic attenuation data A is the energy of ultrasonic waves before the ultrasonic waves pass through the contrast A minus the energy of the ultrasonic waves after the ultrasonic waves pass through the contrast A; the ultrasonic speed data A is the average speed of the ultrasonic wave in the process of passing through the contrast A, the average speed can be calculated by dividing the height of the contrast A in the container by the time of the ultrasonic wave passing through the contrast A, and the time of the ultrasonic wave passing through the contrast A and the ultrasonic attenuation data A can be measured by an ultrasonic detector;
establishing a standard data model B: carrying out ultrasonic detection on the reference substance B to obtain ultrasonic attenuation data B after the ultrasonic passes through the reference substance B and ultrasonic speed data B of the ultrasonic passing through the reference substance B; the special characteristics of the contrast B can be represented by the ultrasonic attenuation data B and the ultrasonic speed data B, and the characteristics which cannot be recognized by naked eyes of the contrast B can be represented by the data; the ultrasonic attenuation data B is the energy of the ultrasonic wave before passing through the contrast B minus the energy of the ultrasonic wave after passing through the contrast B; the ultrasonic speed data B is the average speed of the ultrasonic wave in the process of passing through the contrast B, the average speed can be calculated by dividing the height of the contrast B in the container by the time of the ultrasonic wave passing through the contrast B, and the time of the ultrasonic wave passing through the contrast B and the ultrasonic attenuation data B can be measured by an ultrasonic detector;
establishing detection object data: carrying out ultrasonic detection on a detection object to obtain ultrasonic attenuation data D after ultrasonic waves pass through the detection object and ultrasonic velocity data D of the ultrasonic waves passing through the detection object; the characteristic features of the detection object can be represented by ultrasonic attenuation data D and ultrasonic velocity data D, and the features of the contrast object D which can not be identified by naked eyes can be represented by the data; the ultrasonic attenuation data D is the energy obtained by subtracting the energy of the ultrasonic wave after passing through the detection object from the energy of the ultrasonic wave before passing through the detection object; the ultrasonic velocity data D is the average velocity of the ultrasonic wave in the process of passing through the detection object, the average velocity can be calculated by dividing the height of the detection object in the container by the time of the ultrasonic wave passing through the detection object, and the time of the ultrasonic wave passing through the detection object and the ultrasonic attenuation data D can be measured by an ultrasonic detector;
and (3) data comparison: comparing the ultrasonic attenuation data A, the ultrasonic attenuation data B and the ultrasonic attenuation data D, comparing the ultrasonic speed data A, the ultrasonic speed data B and the ultrasonic speed data D, determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not, determining whether the ultrasonic speed data D is approximate to the ultrasonic speed data A or not, if the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A after comparison, the approximate difference value is within the range of 10Hz-20Hz, the ultrasonic speed data D is approximate to the ultrasonic speed data A, the approximate difference value is within the range of 5m/s-10m/s, judging that the detected object is the tested donkey milk is not fake, if the ultrasonic attenuation data D is not approximate to the ultrasonic attenuation data A, and the ultrasonic speed data D is not approximate to the ultrasonic attenuation data A, the method can judge that the detected donkey milk is adulterated, and can roughly judge that the detected donkey milk is adulterated if the ultrasonic attenuation data D are between the ultrasonic attenuation data A and the ultrasonic attenuation data B and the ultrasonic speed data D are between the ultrasonic speed data A and the ultrasonic speed data B.
Example 2: the method is characterized by further comprising the steps of preparing a control substance C which is fresh goat milk and is equal to the detection object in amount based on the embodiment 1, filling the control substance C into a sterilized identical container, shaking up the control substance C, and establishing a standard data model C: carrying out ultrasonic detection on the reference substance C to obtain ultrasonic attenuation data C of ultrasonic waves passing through the reference substance C and ultrasonic speed data C of the ultrasonic waves passing through the reference substance C; and comparing the ultrasonic attenuation data A, the ultrasonic attenuation data C and the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data C and the ultrasonic velocity data D, and determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not.
The ultrasonic attenuation data C is the energy before the ultrasonic wave passes through the contrast C minus the energy after the ultrasonic wave passes through the contrast C, the ultrasonic speed data C is the average speed in the process of the ultrasonic wave passing through the contrast C, the average speed can be calculated by dividing the height of the contrast C in the container by the time of the ultrasonic wave passing through the contrast C, and the time of the ultrasonic wave passing through the detection object and the ultrasonic attenuation data C can be measured by an ultrasonic detector.
Comparing the ultrasonic attenuation data A, the ultrasonic attenuation data B, the ultrasonic attenuation data C with the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data B, the ultrasonic velocity data C with the ultrasonic velocity data D, and determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not; if the ultrasonic attenuation data D is not similar to the ultrasonic attenuation data A and the ultrasonic velocity data D is not similar to the ultrasonic velocity data A, then the ultrasonic attenuation data D is judged to be closer to one of the ultrasonic attenuation data C and the ultrasonic attenuation data D and the ultrasonic velocity data D is judged to be closer to one of the ultrasonic velocity data C and the ultrasonic velocity data D, and the closer proximity can basically indicate that the adulterated substance is the corresponding substance or the contrast B or the contrast C is doped into the detection object.
Making ultrasonic attenuation data A, ultrasonic attenuation data B, ultrasonic attenuation data C and ultrasonic attenuation data D into an ultrasonic energy attenuation histogram; ultrasonic velocity data A, ultrasonic velocity data B, ultrasonic velocity data C and ultrasonic velocity data D are made into an ultrasonic velocity histogram, so that the data are clearer and are convenient to compare.
The foregoing is only a preferred embodiment of the invention.
Claims (5)
1. A method for rapidly detecting donkey milk adulteration is characterized by comprising the following steps: the method comprises the following steps:
preparing equal amounts of test subject, control a and control B: the detection object is detected donkey milk, the reference substance A is fresh donkey milk, and the reference substance B is fresh milk; loading the detection object, the control A and the control B into the same sterilized container respectively;
pretreatment: shaking the detection object, the control A and the control B respectively;
establishing a standard data model A: carrying out ultrasonic detection on the reference substance A to obtain ultrasonic attenuation data A of ultrasonic waves passing through the reference substance A and ultrasonic speed data A of the ultrasonic waves passing through the reference substance A;
establishing a standard data model B: carrying out ultrasonic detection on the reference substance B to obtain ultrasonic attenuation data B after the ultrasonic passes through the reference substance B and ultrasonic speed data B of the ultrasonic passing through the reference substance B;
establishing detection object data: carrying out ultrasonic detection on a detection object to obtain ultrasonic attenuation data D after ultrasonic waves pass through the detection object and ultrasonic velocity data D of the ultrasonic waves passing through the detection object;
and (3) data comparison: and comparing the ultrasonic attenuation data A, the ultrasonic attenuation data B and the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data B and the ultrasonic velocity data D, and determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not.
2. The method for rapidly detecting donkey milk adulteration according to claim 1, which is characterized in that: preparing a reference substance C with the same quantity as the detection object, wherein the reference substance C is fresh goat milk, putting the reference substance C into a sterilized container with the same quantity, shaking up the reference substance C, and establishing a standard data model C: carrying out ultrasonic detection on the reference substance C to obtain ultrasonic attenuation data C of ultrasonic waves passing through the reference substance C and ultrasonic speed data C of the ultrasonic waves passing through the reference substance C; and comparing the ultrasonic attenuation data A, the ultrasonic attenuation data C and the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data C and the ultrasonic velocity data D, and determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not.
3. The method for rapidly detecting donkey milk adulteration according to claim 2, which is characterized in that: and comparing the ultrasonic attenuation data A, the ultrasonic attenuation data B, the ultrasonic attenuation data C with the ultrasonic attenuation data D, comparing the ultrasonic velocity data A, the ultrasonic velocity data B, the ultrasonic velocity data C with the ultrasonic velocity data D, and determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not and whether the ultrasonic velocity data D is approximate to the ultrasonic velocity data A or not.
4. The method for rapidly detecting donkey milk adulteration according to claim 3, wherein the method comprises the following steps: and manufacturing the ultrasonic attenuation data A, the ultrasonic attenuation data B, the ultrasonic attenuation data C and the ultrasonic attenuation data D into an ultrasonic energy attenuation histogram.
5. The method for rapidly detecting donkey milk adulteration according to claim 3, wherein the method comprises the following steps: and manufacturing the ultrasonic velocity data A, the ultrasonic velocity data B, the ultrasonic velocity data C and the ultrasonic velocity data D into an ultrasonic velocity histogram.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011279356.5A CN112378996B (en) | 2020-11-16 | Method for rapidly detecting donkey milk adulteration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011279356.5A CN112378996B (en) | 2020-11-16 | Method for rapidly detecting donkey milk adulteration |
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| CN112378996A true CN112378996A (en) | 2021-02-19 |
| CN112378996B CN112378996B (en) | 2024-10-29 |
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| CN1348091A (en) * | 2001-11-19 | 2002-05-08 | 武汉大学 | supersonic method of detecting the fixed-point liquid level in container |
| CN1696686A (en) * | 2005-05-15 | 2005-11-16 | 山东科技大学 | System for testing quality of cast in place concrete pile |
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| Title |
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