CN102890041A - Edible oil quality detection method and system - Google Patents
Edible oil quality detection method and system Download PDFInfo
- Publication number
- CN102890041A CN102890041A CN201210405997XA CN201210405997A CN102890041A CN 102890041 A CN102890041 A CN 102890041A CN 201210405997X A CN201210405997X A CN 201210405997XA CN 201210405997 A CN201210405997 A CN 201210405997A CN 102890041 A CN102890041 A CN 102890041A
- Authority
- CN
- China
- Prior art keywords
- measured
- curve
- characteristic
- value
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Fats And Perfumes (AREA)
Abstract
The invention belongs to the technical field of detection on edible oil and discloses an edible oil quality detection method which comprises the following steps of: step 1, determining a standard feature curve f, which indicates the change of a feature K value of each standard oil with temperature, by experimental methods, and storing the standard feature cure f in a database, wherein the computational formula of the feature K value is shown as follows: K equals to R delta t, R is the coefficient of capillary tubes, Delta t is equal to t2-t1 and refers to the time for the oil injected into the capillary tubes to flow from a high liquid level A to a low liquid level B; step 2, testing a to-be-tested feature curve g which indicates the change of the feature K value of the to-be-tested oil with temperature; and step 3, comparing the to-be-tested feature curve g with the standard feature curve f to detect the quality of the to-be-tested oil. The method provided by the invention are used for detecting the quality of the edible oil.
Description
Technical field
The invention belongs to edible oil and fat detection technique field.
Background technology
Edible oil and fat are the necessitys during people live, and common edible oil and fat mostly are vegetable fat, for example soybean oil, peanut oil, rapeseed oil, olive oil, blending stock etc.
The World Health Organization (WHO) points out, edible oil and fat are selected improper or excessive eating all can increase the onset risks such as heart disease, cardiovascular and cerebrovascular disease.In addition, along with developing rapidly of the tertiary industry, China's catering trade scale expanding day, the waste grease of discharging in the food and drink waste water is increasing, the lawless person illegally reclaims these waste greases and refines into poisonous " waste oil ", again it is used in the preparation of food and drink.Waste oil can destroy people's white blood cell and alimentary canal mucous membrane, causes food poisoning, even carcinogenic, so waste oil is forbidden for the edible oil and fat field.And data shows, the waste oil that present China returns dining table every year has 2,000,000-3,000,000 tons, and the animals and plants wet goods edible oil and fat total amount of the annual consumption of China approximately is 2,250 ten thousand tons, and waste oil has accounted for 10% share.
The most of edible oil and fat products of China have corresponding national standard or industry standard at present, " cottonseed oil ", " sunflower oil ", " camellia seed oil ", " corn oil ", " rice bran oil " 5 the food plant oil products national standard for example just put into effect on October 1st, 2003.And " edible vegetable blend oil " national standard of China was formulated since 2005, repeatedly openly solicit the suggestion of expert and enterprise, but call again and again eventually not out, although formed in 2007 " edible blend oil national standard " draft for deliberation " ", the edible blend oil national standard began openly to consult on to various circles of society in 2008, but the edible blend oil national standard is not put into effect yet so far.
The expert represents, blending stock is unlike pure edible oil, and pure edible oil has mixed a bit that other oil can detect.But blending stock is not like this, because the fatty acid structure of various oil forms difference and little, can only detect specific oil to the detection of blending stock and plant and have or do not have, and concrete ratio is difficult to detect.
In addition, the detection method of existing edible oil and fat for mixed " waste oil " mainly is based on the following aspects: physical and chemical index analysis, heavy metal detection, fatty acid compositional analysis, cholesterol level, electrical conductivity method etc.These detection methods have specificity to a certain specific indexes detection of the not high waste oil of refining degree, but waste oil becomes very complicated, be not that all waste oils all contain these indexs, therefore these detection methods do not have detection specificity to the higher waste oil of refining degree, can't effectively identify waste oil.And for the blending stock of the waste oil that mixed, just more be difficult to detect.
Summary of the invention
Technical matters to be solved by this invention is, a kind of quality of edible oil and fat detection method and system are provided, can all oil qualities that comprise blending stock be detected, detect especially easily and whether blent waste oil, and the waste oil of having blent how many amounts.
In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is according to the temperature variant family curve of the distinctive characteristic K value of edible oil and fat self, to detect the quality of the edible oil and fat that comprise blending stock.Concrete scheme is as follows, and a kind of quality of edible oil and fat detection method may further comprise the steps:
Step 1: method is determined the temperature variant standard feature curve of the characteristic K value f of each standard grease by experiment, and is stored to database; Wherein, the standard grease comprises standard edible oil and fat and waste oil, for example blending stock, soybean oil, rapeseed oil etc.; Wherein, the computing formula of characteristic K value is as follows: K=R △ t, its unit are every milliliter of s/ml(seconds); R is capillary number, and its unit is every milliliter of 1/ml(), its coefficient of same capillary is fixed value, its coefficient of different kapillaries is different.For example: a diameter is the 1.20mm(millimeter) kapillary, its capillary number R is between 0.11-0.19.△ t=t2-t1, be inject grease capillaceous from liquid level A(time this moment of a high position be t1) liquid level B(time this moment of flowing to low level is t2) the used time.Described characteristic K value is measured by characteristic K value tester, this characteristic K value tester comprises kapillary, attemperating unit and controller at least, described data output end capillaceous is electrically connected on the data input pin of controller, the control end of described attemperating unit is electrically connected on the control end of controller, described controller be used for to change the temperature of attemperating unit, and described kapillary is used for flowing measurement characteristics K value by grease from liquid level A to liquid level B; Described kapillary comprises side pipe, supervisor and arm, and the upper end of described side pipe, supervisor and arm maintains an equal level, described side pipe be responsible between be connected by the U-shaped pipe.Use the using method of above-mentioned characteristic K value tester measurement characteristics K value as follows: at first to take out characteristic K value tester, be adjusted to specified temp by attemperating unit, take out a grease (must not be less than 7ml) and inject kapillary along clean, dry side pipe inwall, wherein kapillary vertically is fixed in the characteristic K value tester; Then will be responsible for arm and respectively connect an emulsion tube, clamp the sebific duct of arm, bleed in the place from the side pipe mouth, make the liquid level of grease slowly be increased to liquid level A upper end, afterwards, decontrol first arm, more open side pipe, grease is fallen in side pipe naturally, drop to the delivery time at liquid level B place with stopwatch accurate recording grease from liquid level A;
4, Ubbelohde viscometer replication twice, twice measured value must not differ above 0.1 second, and the mean value of getting twice is the delivery time (T) of test liquid;
5, the Ubbelohde viscometer solvent that No. 3 sintered glass funnels filter of learning from else's experience operates equally, and replication twice, twice measured value should be identical, is the delivery time of solvent.
Step 2: under same measuring condition, measure the temperature variant family curve g to be measured of characteristic K value of grease to be measured;
Step 3: family curve g to be measured and standard feature curve f are compared, differentiate the quality of grease to be measured.Wherein, differentiate the quality of grease to be measured, not only comprise the discriminating waste oil, can also identify grease to be measured through high-temperature heating several times.
Concrete, the concrete grammar of contrastive feature curve is in the step 3: described step 3 specifically comprises, according to family curve g to be measured, accounting temperature is at [0 ℃, 20 ℃] characteristic K value a under arbitrary temperature in the scope, if a＞300 s/ml, then directly judging this grease to be measured is waste oil.
Can be got by great many of experiments, the temperature variant family curve of characteristic K value of grease is at [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range have respectively different variation tendencies, therefore with the standard feature curve f of described step 1 according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, is designated as f
1x, f
2xAnd f
3x, namely
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
Same, with family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, are designated as g
1x, g
2xAnd g
3x, namely
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]。
The control methods of step 3 can be that contrast grease to be measured and the rate of change of standard grease under a certain temperature obtain, and is specific as follows:
Step 31a: calculated the characteristic K value g (T) that obtains under several temperature T by family curve g to be measured, simultaneously, calculated the characteristic K value f (T) that obtains under above-mentioned several temperature T by standard feature curve f; Wherein, T ∈ [0 ℃, 80 ℃]; The value of T can freely be chosen, and for example can be since 0 ℃, and 5 ℃ at interval chooses, then T ∈ { 0 ℃, 5 ℃, 10 ℃, 15 ℃, 20 ℃, 25 ℃, 30 ℃, 35 ℃, 40 ℃, 45 ℃, 50 ℃, 55 ℃, 60 ℃, 65 ℃, 70 ℃, 75 ℃, 80 ℃ }; T also can choose arbitrarily respectively in [0 ℃, 20 ℃], [20 ℃, 50 ℃] and [50 ℃, 80 ℃] three temperature ranges respectively;
Step 31b: contrast respectively characteristic K value g (T) and characteristic K value f (T) under the same temperature T, if satisfy:
︱ g (T)-f (T) ︱/f (T)≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative.
Above-mentioned direct contrast grease to be measured and the rate of change of standard grease under same temperature, have certain error, therefore further, we can obtain conclusion by the slope of contrast standard family curve f and family curve g to be measured, concrete, the method for step 3 can also be:
Step 32a: according to standard feature curve f, calculate corresponding slope:
f′=?f
1x′，x∈[0,20],
f′=?f
2x′，x∈[20,50],
f′=?f
3x′，x∈[50,80];
Simultaneously, according to family curve g to be measured, calculate corresponding slope:
g′=?g
1x′，x∈[0,20],
g′=?g
2x′，x∈[20,50],
g′=?g
3x′，x∈[50,80];
Step 32b: the slope f ' of contrast standard family curve f and the slope g ' of family curve g to be measured, if satisfy: ︱ g '-f ' ︱/f '≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative.
In addition, more accurate, can also obtain conclusion by the rate of change of contrast slope, specific as follows:
Step 33a: according to standard feature curve f, calculate the rate of change of corresponding slope:
f″=?f
1x″，x∈[0,20],
f″=?f
2x″，x∈[20,50],
f″=?f
3x″，x∈[50,80];
Simultaneously, according to family curve g to be measured, calculate the rate of change of corresponding slope:
g″=?g
1x″，x∈[0,20],
g″=?g
2x″，x∈[20,50],
g″=?g
3x″，x∈[50,80];
Step 33b: the rate of change of the rate of change of the slope of contrast standard family curve f and the slope of family curve g to be measured, "≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative if satisfy ︱ g " f " ︱/f.
The temperature variant family curve of characteristic K value of each the standard grease in the step 1 can be determined by the many experiments method, determine specific curves after, namely can be used as reference data and use, and duplicate detection when not needing at every turn to detect.Above-mentioned specific curves is stored in the database, along with the increase of number of times of test, can the reference data in the database be expanded, thereby to contrast grease to be measured more and more efficient.
Use the quality of edible oil and fat detection system of above-mentioned detection method, the characteristic characteristic K value tester that comprises examination criteria grease and grease to be measured, the memory device of the temperature variant family curve g data message to be measured of characteristic K value of the characteristic K value temperature variant standard feature curve f of storage standard grease and grease to be measured, the processor that family curve g to be measured and standard feature curve f are compared, and with comparison result shows display device out, the data output end of described characteristic K value tester is electrically connected on the data input pin of processor, the input/output terminal of described memory device is electrically connected on the input/output terminal of processor, and the input end of described display device is electrically connected on the output terminal of processor; Described characteristic K value tester comprises kapillary, attemperating unit and controller at least, described data output end capillaceous is electrically connected on the data input pin of controller, the control end of described attemperating unit is electrically connected on the control end of controller, described controller is used for changing the temperature of attemperating unit, and described kapillary is used for measuring the characteristic K value under different temperatures.Wherein, processor is processed all processes of above-mentioned steps 1, step 2 and step 3.
Because waste oil can produce some polar materials behind high-temperature heating or Reusability, such as acrylamide, palycyclic aromatic, aldehyde radical etc., though also be difficult for removing through refining, and in qualified edible oil and fat, almost do not have.And the potpourri of the normally multiple animal and plant grease of waste oil, in the process of the cooking, the flavoring additivess such as salt, monosodium glutamate have been added again, so that the family curve of waste oil and standard grease has an obvious difference, what thereby can utilize characteristic to recently detecting grease to be measured whether mixed waste oil and the waste oil that mixed.
The invention provides a kind of method and system of effective detection quality of edible oil and fat, the family curve by detecting grease also compares, and effectively identifies waste oil, and the while also is applicable to the detection of blending stock, and the inventive method is simple, accuracy rate is high.
Description of drawings
Fig. 1 is the temperature variant experimental data of characteristic K value of golden imperial fish second generation edible blend oil;
Fig. 2 is according to the family curve after the experimental data match among Fig. 1;
Fig. 3 is the temperature variant experimental data of characteristic K value of common rape oil;
Fig. 4 is according to the family curve after the experimental data match among Fig. 3;
Fig. 5 is the temperature variant experimental data of characteristic K value of the common rape oil of another brand;
Fig. 6 is according to the family curve after the experimental data match among Fig. 5;
Fig. 7 is the temperature variant experimental data of characteristic K value without the assorted oil of sign (waste oil);
Fig. 8 is according to the family curve after the experimental data match among Fig. 7;
Fig. 9 is the temperature variant some experimental data of characteristic K value of tea oil;
Figure 10 is according to the family curve after the experimental data match among Fig. 9;
Figure 11 is the temperature variant some experimental data of characteristic K value of walnut oil;
Figure 12 is according to the family curve after the experimental data match among Figure 11;
Figure 13 is the temperature variant some experimental data of characteristic K value of two sparrow edible blend oils;
Figure 14 is according to the family curve after the experimental data match among Figure 13;
Figure 15 is the temperature variant some experimental data of characteristic K value of happy main peanut blending stock;
Figure 16 is according to the family curve after the experimental data match among Figure 15;
Figure 17 is method flow diagram of the present invention.
Embodiment
Now the present invention is further described with embodiment by reference to the accompanying drawings.
A kind of quality of edible oil and fat detection method of the present invention may further comprise the steps:
Step 1: method is determined the temperature variant family curve of characteristic K value of each standard grease by experiment, and is stored to database.The computing formula of characteristic K value is as follows: K=R △ t, R are capillary number, and its unit is 1/ml, and the R value is to utilize standard oil under standard environment, the capillary number of trying to achieve, and its coefficient of same capillary is fixed value, its coefficient of different kapillaries is different.△ t=t2-t1 is that the time is t1 to grease at this moment from liquid level A() time is t2 at this moment to liquid level B() the used time.Because of the present invention's employing is the rate of change of the temperature variant slope of a curve of contrastive feature K value or slope, if under same measuring condition, test various greases therefore use same measuring equipment (same kapillary), then do not need to measure the concrete numerical value of R, can make R equal certain constant and carry out following calculating, for convenience of calculation, can make R=1; If use different measuring equipment, then can select the kapillary of same material, can be directly proportional to calculate with diameter by its capillary number R, for example the capillary diameter used of a measuring equipment is 1.20mm, the capillary diameter that another measuring equipment uses is 1.5, then the ratio of the former capillary number R1 and the latter's capillary number R2 equals 1.2/1.5=0.8, i.e. R1=0.8 * R2, but then curve corresponding to substitution carries out following calculating.
Wherein, capillary number R is calculated as follows: the liquid of certain volume V (being grease) flows through the required time of kapillary that radius is the r length L, utilizes Poiseuille's formula η=R * △ t, wherein, and R=π * r
4* P/ (8VL) is capillary number.P is the expulsive force at kapillary two ends in the formula, P=ρ gh, ρ is fluid density, g is acceleration of gravity, h is liquid level, the time is t1 at this moment from liquid level A(to calculate liquid) time is t2 at this moment to liquid level B() used time △ t=t2-t1, wherein same V capillaceous, L, r, g, h, π equivalent all are constant.
Make up the difference relevantly because of capillary number R and actual inner diameter value capillaceous and kinetic energy, in order to calculate more accurately capillary number R, the mode that can also take to estimate is made up the difference.It is according to the object of any motion outwardness inertia energy all that kinetic energy is made up the difference, inertia energy can affect the degree of accuracy of experiment, because the less and concrete calculating of numerical value is quite loaded down with trivial details, so the mode that this experiment is taked to estimate is made up the difference, the value of making up the difference is Ra, span is between the 0.000-0.009, and specifically estimation mode is that selection standard liquid is measured, and result and the known titer data of measuring are compared.Because of the kinetic energy technology known to those skilled in the art of making up the difference, therefore no longer describe in detail here.At this moment, capillary number R=π * r
4* P/ (8VL)+Ra.
In addition, characteristic K value is measured by characteristic K value tester, this characteristic K value tester comprises kapillary, attemperating unit and controller at least, described data output end capillaceous is electrically connected on the data input pin of controller, the control end of described attemperating unit is electrically connected on the control end of controller, described controller is used for changing the temperature of attemperating unit, and described kapillary is used for measuring the characteristic K value under different temperatures; Described kapillary comprises side pipe, supervisor and arm, and the upper end of described side pipe, supervisor and arm maintains an equal level, described side pipe be responsible between be connected by the U-shaped pipe.Preferably use diameter to be the kapillary of 1.20mm, generally between 0.11-0.19, wherein, this kapillary can use structure capillaceous in the black formula capillary viscosimeter to the scope of its R.
Use the using method of above-mentioned characteristic K value tester measurement characteristics K value as follows: at first to take out characteristic K value tester, be adjusted to specified temp by attemperating unit, take out a grease (must not be less than 7ml) and inject kapillary along clean, dry side pipe inwall, wherein kapillary vertically is fixed in the characteristic K value tester; Then will be responsible for arm and respectively connect an emulsion tube, clamp the sebific duct of arm, bleed in the place from the side pipe mouth, make the liquid level of grease slowly be increased to liquid level A upper end, afterwards, decontrol first arm, more open side pipe, grease is fallen in side pipe naturally, drop to the delivery time at liquid level B place with stopwatch accurate recording grease from liquid level A.
Accompanying drawing (provide the temperature variant data of characteristic K value of the standard grease that many experiments records among Fig. 1-Figure 16), and matched curve.Wherein, match is a kind of expression mode of available data being come a numerical expression of substitution through mathematical method.The Science and engineering problem can obtain some discrete data by methods such as sampling, experiment, according to these data, we often wish to obtain a continuous function (namely curve) or more discrete equation and the given data of crypto set match, this process just is called match.Matched curve can be obtained by several different methods, for example by the matlab match, by the origin match, deduce out tendency equation and bring experimental data match etc. into by manual, the present invention adopts excel to realize, first the temperature value in the experimental data and characteristic K value are generated straight line scatter diagram (characteristic K value varies with temperature curve map), the characteristic K value that contrasts all standard greases varies with temperature curve map and can find, [0 ℃ of temperature, 20 ℃] interval, [20 ℃, 50 ℃] interval and [50 ℃, 80 ℃] interval has obvious flex point, for the Accurate Curve-fitting curve, it is different family curves according to the said temperature interval fitting respectively that above-mentioned characteristic K value is varied with temperature curve map, referring to Fig. 1 and Fig. 2, for example golden imperial fish second generation edible blend oil is as follows in the matched curve of normal (when not heating):
y=0.102x
2-7.480x+181.1(0≤x≤20)
y=0.036x
2-4.092x+138.5(20<x<50)
y=0.009x
2-1.621x+82.42(50≤x≤80)
The imperial fish second generation edible blend oil of gold is as follows through the matched curve behind high-temperature heating:
y=0.138x
2-9.563x+221.4(0≤x≤20)
y=0.045x
2-5.002x+166.0(20<x<50)
y=0.011x
2-1.942x+96.88(50≤x≤80)
The imperial fish second generation edible blend oil of gold is as follows through the matched curve after the secondary high-temperature heating:
y=0.177x
2-12.09x+273.9(0≤x≤20)
y=0.057x
2-6.296x+203.8(20<x<50)
y=0.013x
2-2.333x+114.7(50≤x≤80)
Common rape oil for example again: in experiment, find, because of the experimental data of the common rape oil of different brands similar, therefore only list the experimental data of the common rape oil of two brands here, referring to Fig. 3-Fig. 6, common rape oil is as follows in the matched curve of normal (when not heating):
y=0.113x
2-7.913x+186.9(0≤x≤20)
y=0.039x
2-4.319x+143.5(20<x<50)
y=0.009x
2-1.653x+83.66(50≤x≤80)
Common rape oil is as follows through the matched curve behind high-temperature heating:
y=0.140x
2-9.659x+222.5(0≤x≤20)
y=0.046x
2-5.090x+167.4(20<x<50)
y=0.011x
2-1.925x+96.16(50≤x≤80)
Common rape oil is as follows through the matched curve after the secondary high-temperature heating:
y=0.177x
2-12.09x+273.9(0≤x≤20)
y=0.057x
2-6.296x+203.8(20<x<50)
y=0.013x
2-2.333x+114.7(50≤x≤80)
Wherein, and y representing characteristic K value (y〉0), x representation temperature value.
Step 2: use same measuring equipment and under same measuring condition (temperature, pressure are all identical), measure the temperature variant family curve of characteristic K value of grease to be measured; Provide the temperature variant data of characteristic K value of the waste oil that many experiments records in the accompanying drawing (Fig. 7 and Fig. 8), and matched curve; Accompanying drawing 9-Figure 16 has provided the characteristic K value temperature variant partial data of other greases that many experiments records in addition, and matched curve.The concrete preparation method of its matched curve is with step 1.Same, for the Accurate Curve-fitting curve, above-mentioned characteristic K value is varied with temperature curve map respectively according to [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range divides and to come, and fits to respectively different family curves, and for example waste oil is as follows in the matched curve of normal (when not heating):
y=-102.7x+2149(0≤x≤20)
y=0.054x
2-5.884x+189.1(20<x<50)
y=0.012x
2-2.116x+103.9(50≤x≤80)
Waste oil is as follows through the matched curve behind high-temperature heating:
y=-76.55x+1677(0≤x≤20)
y=0.244x
2-19.11x+417.7(20<x<50)
Waste oil is as follows through the matched curve after the secondary high-temperature heating:
y=-63.28x+1439(0≤x≤20)
y=0.382x
2-29.06x+595.5(20<x<50)
Wherein, and y representing characteristic K value (y〉0), x representation temperature value.
Step 3: the family curve and the standard grease that step 2 are recorded grease to be measured compare, and differentiate the quality of grease to be measured.According to above-mentioned different family curve, concrete control methods can be selected according to different purposes.For example only judge whether to be doped with waste oil, can judge as a flex point when temperature is 20 ℃ according to the family curve of waste oil: probe temperature is at [0 ℃, 20 ℃] whether the characteristic K value a of grease to be measured in the scope under arbitrary temperature greater than 300 s/ml, if a＞300 s/ml, then can directly judge this grease to be measured is waste oil.Wherein, characteristic K value a is kinetic characteristic K value, and the ratio of the density p of the kinematic behavior K value η of fluid and synthermal lower this fluid is called kinetic characteristic K value, and it is that this fluid is in the tolerance of Action of Gravity Field current downflow resistance.
In addition, according to a large amount of experimental datas, obtain following characteristic: 1, identical edible oil characteristic K value characteristic under condition of different temperatures is different; 2, the characteristic K value characteristic of Various Edible under uniform temp is different; 3, through after pyroprocessing, different from the characteristic K value characteristic of identical edible oil under uniform temp without pyroprocessing; 4, process through secondary high-temperature after, different from the characteristic K value characteristic of identical edible oil under uniform temp through a pyroprocessing.Then, for the above results, step 3 can be realized by following methods:
Method 1: obtain characteristic K value gy (T) under several temperature values T by the temperature variant family curve of characteristic K value of the grease of step 2, wherein, T respectively [0 ℃, 20 ℃], [20 ℃, 50 ℃] and [50 ℃, 80 ℃] three temperature ranges choose 5 in the interval respectively, namely T ∈ 0 ℃, 5 ℃, 10 ℃, 15 ℃, 20 ℃, 26 ℃, 32 ℃, 38 ℃, 44 ℃, 50 ℃, 56 ℃, 62 ℃, 68 ℃, 74 ℃, 80 ℃ }; Simultaneously, obtain characteristic K value y (T) under this same temperature T by the temperature variant family curve y of characteristic K value of the grease of step 1; Both characteristic K values under the contrast same temperature T, if the characteristic K value under all temperature all satisfies: ︱ gy (T)-y (T) ︱/y (T)≤0.1, the grease to be measured of then judging family curve gy representative belongs to the standard grease of this family curve y representative.
Method 2: according to the rate of change of slope or slope, because the characteristic slope of different greases has obvious difference, then can judge according to the characteristic slope of grease to be measured and the characteristic slope of standard grease or the rate of change of slope, for example, obtain golden imperial fish second generation edible blend oil by step 1 as follows in the matched curve of normal (when not heating):
y=0.102x
2-7.480x+181.1(0≤x≤20)
y=0.036x
2-4.092x+138.5(20<x<50)
y=0.009x
2-1.621x+82.42(50≤x≤80)
Its slope y ' (namely the function of above-mentioned matched curve being carried out differentiate) then:
Y '=0.204x-7.480(0≤x≤20), then the span of y ' is [7.480 ,-3.4]
Y '=0.072x-4.092 (20＜x＜50), then the span of y ' is [2.652 ,-0.492]
Y '=0.018x-1.621 (50≤x≤80), then the span of y ' is [0.721 ,-0.181]
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
y″=0.204(0≤x≤20)
y″=0.072(20<x<50)
y″=0.018(50≤x≤80)
The imperial fish second generation edible blend oil of gold is as follows through the matched curve behind high-temperature heating:
y=0.138x
2-9.563x+221.4(0≤x≤20)
y=0.045x
2-5.002x+166.0(20<x<50)
y=0.011x
2-1.942x+96.88(50≤x≤80)
Slope y ' (namely the function of above-mentioned matched curve being carried out differentiate):
Y '=0.276x-9.563 (0≤x≤20), then the span of y ' is [9.563 ,-4.043]
Y '=0.090x-5.002 (20＜x＜50), then the span of y ' is [3.202 ,-0.502]
Y '=0.022x-1.942 (50≤x≤80), then the span of y ' is [0.842 ,-0.182]
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
y″=0.276(0≤x≤20)
y″=0.090(20<x<50)
y″=0.022(50≤x≤80)
The imperial fish second generation edible blend oil of gold is as follows through the matched curve after the secondary high-temperature heating:
y=0.177x
2-12.09x+273.9(0≤x≤20)
y=0.057x
2-6.296x+203.8(20<x<50)
y=0.013x
2-2.333x+114.7(50≤x≤80)
Slope y ' (namely the function of above-mentioned matched curve being carried out differentiate):
Y '=0.254x-12.09 (0≤x≤20), then the span of y ' is [12.09 ,-7.01]
Y '=0.114x-6.296 (20＜x＜50), then the span of y ' is [4.016 ,-0.596]
Y '=0.026x-2.333 (50≤x≤80), then the span of y ' is [1.033 ,-0.253]
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
y″=0.254(0≤x≤20)
y″=0.114(20<x<50)
y″=0.026(50≤x≤80)
Again for example, common rape oil is as follows in the matched curve of normal (when not heating):
y=0.113x
2-7.913x+186.9(0≤x≤20)
y=0.039x
2-4.319x+143.5(20<x<50)
y=0.009x
2-1.653x+83.66(50≤x≤80)
Slope y ' (namely the function of above-mentioned matched curve being carried out differentiate):
Y '=0.226x-7.913 (0≤x≤20), then the span of y ' is [7.913 ,-3.393]
Y '=0.078x-4.319 (20＜x＜50), then the span of y ' is [2.759 ,-0.410]
Y '=0.018x-1.653 (50≤x≤80), then the span of y ' is [0.753 ,-0.213]
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
y″=0.226(0≤x≤20)
y″=0.078(20<x<50)
y″=0.018(50≤x≤80)
Common rape oil is as follows through the matched curve behind high-temperature heating:
y=0.140x
2-9.659x+222.5(0≤x≤20)
y=0.046x
2-5.090x+167.4(20<x<50)
y=0.011x
2-1.925x+96.16(50≤x≤80)
Slope y ' (namely the function of above-mentioned matched curve being carried out differentiate):
y′=0.280x-9.659(0≤x≤20)
y′=0.092x-5.090(20<x<50)
y′=0.022x-1.925(50≤x≤80)
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
y″=0.280(0≤x≤20)
y″=0.092(20<x<50)
y″=0.022(50≤x≤80)
Common rape oil is as follows through the matched curve after the secondary high-temperature heating:
y=0.177x
2-12.09x+273.9(0≤x≤20)
y=0.057x
2-6.296x+203.8(20<x<50)
y=0.013x
2-2.333x+114.7(50≤x≤80)
Slope y ' (namely the function of above-mentioned matched curve being carried out differentiate):
y′=0.254x-12.09(0≤x≤20)
y′=0.114x-6.296(20<x<50)
y′=0.026x-2.333(50≤x≤80)
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
y″=0.254(0≤x≤20)
y″=0.114(20<x<50)
y″=0.026(50≤x≤80)
Wherein, and y representing characteristic K value (y〉0), x representation temperature value.
Obtain waste oil by step 2 as follows in the matched curve of normal (when not heating):
y=-102.7x+2149(0≤x≤20)
y=0.054x
2-5.884x+189.1(20<x<50)
y=0.012x
2-2.116x+103.9(50≤x≤80)
Slope y ' (namely the function of above-mentioned matched curve being carried out differentiate):
y′=-102.7(0≤x≤20)
y′=0.108x-5.884(20<x<50)
y′=0.024x-2.116(50≤x≤80)
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
y″=0(0≤x≤20)
y″=0.108(20<x<50)
y″=0.024(50≤x≤80)
Waste oil is as follows through the matched curve behind high-temperature heating:
y=-76.55x+1677(0≤x≤20)
y=0.244x
2-19.11x+417.7(20<x<50)
Slope y ' (namely the function of above-mentioned matched curve being carried out differentiate):
y′=-76.55(0≤x≤20)
y′=0.488x-19.11(20<x<50)
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
y″=0(0≤x≤20)
y″=0.488(20<x<50)
Waste oil is as follows through the matched curve after the secondary high-temperature heating:
y=-63.28x+1439(0≤x≤20)
y=0.382x
2-29.06x+595.5(20<x<50)
Slope y ' (namely the function of above-mentioned matched curve being carried out differentiate):
y′=-63.28(0≤x≤20)
y′=0.764x-29.06(20<x<50)
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
y″=0(0≤x≤20)
y″=0.764(20<x<50)。
If it is as follows that record oil property curve to be measured this moment:
gy=0.178x
2-12.09x+273.9(0≤x≤20)
gy=0.059x
2-6.296x+203.8(20<x<50)
gy=0.014x
2-2.333x+114.7(50≤x≤80)
Slope y ' (namely the function of above-mentioned matched curve being carried out differentiate):
gy′=0.256x-12.09(0≤x≤20)
gy′=0.118x-6.296(20<x<50)
gy′=0.028x-2.333(50≤x≤80)
The rate of change y of slope " (namely the function of above-mentioned slope being carried out differentiate):
gy″=0.256(0≤x≤20)
gy″=0.118(20<x<50)
gy″=0.028(50≤x≤80)
Then, by the contrast slope, find the correlation curve that meets ︱ gy '-y ' ︱/y '≤0.1, because slope is a function about x, can choose arbitrarily the substitution of x value and compare respectively, for example x is in [0,20], [20,50] and [50,80] in three codomains respectively the interval choose 5, perhaps x chooses at interval 1 in [0,80] zone, ask respectively its gy ' and y ' value, and calculate ︱ gy '-y ' ︱/y '≤0.1 and whether satisfy.Choosing of above-mentioned x is The more the better, and available computers realizes calculating.In addition, the calculating of above-mentioned ︱ gy '-y ' ︱/y ' also can be by the method for approximate treatment, by calculating y ' at x ∈ [0,20], [20,50] and the value of [50,80] whether between the minimum value of the maximal value of y ' and y ', realize, above-mentioned computation process is the category of higher mathematics, those skilled in the art can consult related data and obtain, and repeats no more here.
Perhaps, by the rate of change of contrast slope, finding the standard grease that meets ︱ gy " y " ︱/y "≤0.1 y " correspondence is the family curve of common rape oil under secondary high-temperature, and then this grease to be measured is the common rape oil behind the secondary high-temperature.
The present invention utilizes the characteristic K value characteristic of measuring the oil product under condition of different temperatures, can distinguish kind and the quality of oil product.Different edible oils, because its starting material difference and processing mode are different, cause it under identical temperature conditions, characteristic K value characteristic is different, but fixing distinctive characteristic K value change curve is arranged all, whether measure its temperature characteristics and can distinguish whether oil product is pure, be counterfeit and shoddy goods.Because edible oil is through behind the high-temperature heating, its intermolecular acting force can change, thereby cause characteristic K value characteristic to change, again through behind high temperature, its intermolecular acting force also can change, and variation again also can occur characteristic K value characteristic, utilizes the characteristic K value characteristic under the uniform temp of measuring oil product of the same race, can determine edible oil and whether pass through high-temperature heating, can also calculate through high-temperature heating several times.Pure oil product is under different temperature conditions, its characteristic K value characteristic can present a level and smooth curve, yet some oil product, because mixing other not clear additives, in the situation that be lower than 30 ℃, just begin the fat particles that occurs failing to understand even solidify, can't accurately measure its characteristic K value characteristic, and under greater than 30 ℃ condition, can recover normally and also to present level and smooth curve, and characteristic K value is higher than without the oil property K value of crossing high temperature.Utilize this characteristics, oil product can be placed under 20 ℃ the environment, its characteristic of duplicate measurements K value, data can't be measured or data big ups and downs situation if occur, and can conclude that oil product is assorted oil inferior, both had been commonly called as waste oil.
The temperature variant family curve of characteristic K value of each the standard grease in the above-mentioned steps 1 can be determined by the many experiments method, determine specific curves after, namely can be used as reference data and use, and duplicate detection when not needing at every turn to detect.Above-mentioned specific curves is stored in the database, along with the increase of number of times of test, can the reference data in the database be expanded, thereby to contrast grease to be measured more and more efficient.
Described processor is processed following process: according to the characteristic K value a of family curve g accounting temperature to be measured under the arbitrary temperature in [0 ℃, 20 ℃] scope, if a＞300s/ml, then directly judging this grease to be measured is waste oil.
In addition, described processor is also processed following process:
With standard feature curve f according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein,
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
With family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein:
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]；
Calculate the characteristic K value f (T) that obtains under above-mentioned several temperature T by the characteristic K value g (T) under several temperature T of family curve g calculating acquisition to be measured, by standard feature curve f;
Characteristic K value g (T) and characteristic K value f (T) under the contrast same temperature T, if satisfy:
︱ g (T)-f (T) ︱/f (T)≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative.
Described processor is also processed following process: with standard feature curve f according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein,
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
With family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein:
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]；
Calculate corresponding slope f ' and calculate corresponding slope g ' according to family curve g to be measured according to standard feature curve f;
The slope f ' of contrast standard family curve f and the slope g ' of family curve g to be measured, if satisfy: ︱ g '-f ' ︱/f '≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative.
Described processor is also processed following process: with standard feature curve f according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein,
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
With family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein:
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]；
Calculate the rate of change f rate of change g of corresponding slope " and calculate according to family curve g to be measured " of corresponding slope according to standard feature curve f;
The rate of change f of the slope of contrast standard family curve f " and rate of change g of the slope of family curve g to be measured ", "≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative if satisfy ︱ g " f " ︱/f.
Use the quality of edible oil and fat detection system of above-mentioned detection method, the characteristic characteristic K value tester that comprises examination criteria grease and grease to be measured, the memory device of the temperature variant family curve g data message to be measured of characteristic K value of the characteristic K value temperature variant standard feature curve f of storage standard grease and grease to be measured, the processor that family curve g to be measured and standard feature curve f are compared, and with comparison result shows display device out, the data output end of described characteristic K value tester is electrically connected on the data input pin of processor, the input/output terminal of described memory device is electrically connected on the input/output terminal of processor, and the input end of described display device is electrically connected on the output terminal of processor; Described characteristic K value tester comprises kapillary, attemperating unit and controller at least, described data output end capillaceous is electrically connected on the data input pin of controller, the control end of described attemperating unit is electrically connected on the control end of controller, described controller is used for changing the temperature of attemperating unit, and described kapillary is used for measuring the characteristic K value under different temperatures.Described kapillary comprises side pipe, supervisor and arm, and the upper end of described side pipe, supervisor and arm maintains an equal level, described side pipe be responsible between be connected by the U-shaped pipe.Described processor is processed all processes of above-mentioned steps 1, step 2 and step 3.
The hardware device of this quality of edible oil and fat detection system specifically describes as follows: it comprises main body case, electric appliance control box, is positioned at the oil drum of main body case, and is arranged at controller and attemperating unit in the electric appliance control box, is arranged at oil drum interior kapillary, the display device that is arranged at main body case, input media, printing equipment and automatic flushing device.Wherein kapillary, attemperating unit and controller component characteristic K value tester.Output terminal capillaceous is connected to the input end of controller, and the input/output terminal of attemperating unit is connected in the input/output terminal of controller.The input end of display device is connected in the output terminal of controller, and the output terminal of input media is connected in the input end of controller.The input end of printing equipment is connected in the output terminal of controller.Automatic flushing device comprises the pressure controller that the rinse bath of placing cleaning fluid, the sump pit of discharging liquid and control are cleaned automatically at least, and the control end of described pressure controller is connected in the control end of controller.The attemperating unit that is arranged in the electric appliance control box has guaranteed that the environmental parameter of each test is consistent, thereby so that this testing result has repeatability.
Method of the present invention has repeatability, degree of accuracy is high, by the temperature control of attemperating unit to grease to be measured, each test condition is consistent, so that each test result is consistent, and degree of accuracy is high.
Although specifically show and introduced the present invention in conjunction with preferred embodiment; but the those skilled in the art should be understood that; within not breaking away from the spirit and scope of the present invention that appended claims limits; can make a variety of changes the present invention in the form and details, be protection scope of the present invention.
Claims (10)
1. quality of edible oil and fat detection method is characterized in that: may further comprise the steps:
Step 1: method is determined the temperature variant standard feature curve of the characteristic K value f of each standard grease by experiment, and is stored to database; Wherein, the computing formula of characteristic K value is as follows: K=R △ t, and its unit is s/ml; R is capillary number, and its unit is 1/ml; △ t=t2-t1 is to inject grease capillaceous flow to low level from the liquid level A of a high position the used time of liquid level B, and the moment of the liquid level A that wherein flows through is t1, and the moment of the liquid level B that flows through is t2; Described characteristic K value is measured by characteristic K value tester, this characteristic K value tester comprises kapillary, attemperating unit and controller at least, described data output end capillaceous is electrically connected on the data input pin of controller, the control end of described attemperating unit is electrically connected on the control end of controller, described controller be used for to change the temperature of attemperating unit, and described kapillary is used for flowing measurement characteristics K value by grease from liquid level A to liquid level B; Described kapillary comprises side pipe, supervisor and arm, and the upper end of described side pipe, supervisor and arm maintains an equal level, described side pipe be responsible between be connected by the U-shaped pipe;
Step 2: under same test condition, measure the temperature variant family curve g to be measured of characteristic K value of grease to be measured;
Step 3: family curve g to be measured and standard feature curve f are compared, differentiate the quality of grease to be measured.
2. a kind of quality of edible oil and fat detection method according to claim 1, it is characterized in that: described step 3 specifically comprises, according to family curve g to be measured, accounting temperature is at [0 ℃, 20 ℃] characteristic K value a under arbitrary temperature in the scope, if a＞300 s/ml, then directly judging this grease to be measured is waste oil.
3. a kind of quality of edible oil and fat detection method according to claim 1, it is characterized in that: described step 3 specifically comprises:
Step 31a: with standard feature curve f according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, are designated as f
1x, f
2xAnd f
3x, namely
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
With family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, are designated as g
1x, g
2xAnd g
3x, namely
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]；
Step 31b: calculated the characteristic K value g (T) that obtains under several temperature T by family curve g to be measured, simultaneously, calculated the characteristic K value f (T) that obtains under above-mentioned several temperature T by standard feature curve f; Wherein, T ∈ [0 ℃, 80 ℃];
Step 31c: characteristic K value g (T) and characteristic K value f (T) under the contrast same temperature T, if satisfy:
︱ g (T)-f (T) ︱/f (T)≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative.
4. a kind of quality of edible oil and fat detection method according to claim 1, it is characterized in that: described step 3 specifically comprises:
Step 32a: with standard feature curve f according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, are designated as f
1x, f
2xAnd f
3x, namely
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
With family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, are designated as g
1x, g
2xAnd g
3x, namely
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]；
Step 32b: according to standard feature curve f, calculate corresponding slope:
f′=?f
1x′，x∈[0,20],
f′=?f
2x′，x∈[20,50],
f′=?f
3x′，x∈[50,80];
Simultaneously, according to family curve g to be measured, calculate corresponding slope:
g′=?g
1x′，x∈[0,20],
g′=?g
2x′，x∈[20,50],
g′=?g
3x′，x∈[50,80];
Step 32c: the slope f ' of contrast standard family curve f and the slope g ' of family curve g to be measured, if satisfy: ︱ g '-f ' ︱/f '≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative.
5. a kind of quality of edible oil and fat detection method according to claim 1, it is characterized in that: described step 3 specifically comprises:
Step 33a: with standard feature curve f according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, are designated as f
1x, f
2xAnd f
3x, namely
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
With family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, are designated as g
1x, g
2xAnd g
3x, namely
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]；
Step 33b: according to standard feature curve f, calculate the rate of change of corresponding slope:
f″=?f
1x″，x∈[0,20],
f″=?f
2x″，x∈[20,50],
f″=?f
3x″，x∈[50,80];
Simultaneously, according to family curve g to be measured, calculate the rate of change of corresponding slope:
g″=?g
1x″，x∈[0,20],
g″=?g
2x″，x∈[20,50],
g″=?g
3x″，x∈[50,80];
Step 33c: the rate of change of the rate of change of the slope of contrast standard family curve f and the slope of family curve g to be measured, "≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative if satisfy ︱ g " f " ︱/f.
6. quality of edible oil and fat detection system, it is characterized in that: the characteristic characteristic K value tester that comprises examination criteria grease and grease to be measured, the memory device of the temperature variant family curve g data message to be measured of characteristic K value of the characteristic K value temperature variant standard feature curve f of storage standard grease and grease to be measured, the processor that family curve g to be measured and standard feature curve f are compared, and with comparison result shows display device out, the data output end of described characteristic K value tester is electrically connected on the data input pin of processor, the input/output terminal of described memory device is electrically connected on the input/output terminal of processor, and the input end of described display device is electrically connected on the output terminal of processor; Described characteristic K value tester comprises kapillary, attemperating unit and controller at least, described data output end capillaceous is electrically connected on the data input pin of controller, the control end of described attemperating unit is electrically connected on the control end of controller, described controller is used for changing the temperature of attemperating unit, and described kapillary is used for measuring the characteristic K value under different temperatures; Described kapillary comprises side pipe, supervisor and arm, and the upper end of described side pipe, supervisor and arm maintains an equal level, described side pipe be responsible between be connected by the U-shaped pipe.
7. a kind of quality of edible oil and fat detection system according to claim 6, it is characterized in that: described processor is processed following process: according to family curve g accounting temperature to be measured at [0 ℃, 20 ℃] characteristic K value a under arbitrary temperature in the scope, if a＞300 s/ml, then directly judging this grease to be measured is waste oil.
8. a kind of quality of edible oil and fat detection system according to claim 6, it is characterized in that: described processor is processed following process:
With standard feature curve f according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein,
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
With family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein:
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]；
Calculate the characteristic K value f (T) that obtains under above-mentioned several temperature T by the characteristic K value g (T) under several temperature T of family curve g calculating acquisition to be measured, by standard feature curve f;
Characteristic K value g (T) and characteristic K value f (T) under the contrast same temperature T, if satisfy:
︱ g (T)-f (T) ︱/f (T)≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative.
9. a kind of quality of edible oil and fat detection system according to claim 6, it is characterized in that: described processor is processed following process:
With standard feature curve f according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein,
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
With family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein:
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]；
Calculate corresponding slope f ' and calculate corresponding slope g ' according to family curve g to be measured according to standard feature curve f;
The slope f ' of contrast standard family curve f and the slope g ' of family curve g to be measured, if satisfy: ︱ g '-f ' ︱/f '≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative.
10. a kind of quality of edible oil and fat detection system according to claim 6, it is characterized in that: described processor is processed following process:
With standard feature curve f according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein,
f=?f
1x，x∈[0,20],
f=?f
2x，x∈[20,50],
f=?f
3x，x∈[50,80];
With family curve g to be measured according to different temperature ranges: [0 ℃, 20 ℃] temperature range, [20 ℃, 50 ℃] temperature range and [50 ℃, 80 ℃] temperature range fit to respectively different family curves, wherein:
g=?g
1x，x∈[0,20],
g=?g
2x，x∈[20,50],
g=?g
3x，x∈[50,80]；
Calculate the rate of change f rate of change g of corresponding slope " and calculate according to family curve g to be measured " of corresponding slope according to standard feature curve f;
The rate of change f of the slope of contrast standard family curve f " and rate of change g of the slope of family curve g to be measured ", "≤0.1, the grease to be measured of then judging family curve g representative to be measured belongs to the standard grease of this standard feature curve f representative if satisfy ︱ g " f " ︱/f.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210405997.XA CN102890041B (en) | 2012-10-23 | 2012-10-23 | Edible oil quality detection method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210405997.XA CN102890041B (en) | 2012-10-23 | 2012-10-23 | Edible oil quality detection method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102890041A true CN102890041A (en) | 2013-01-23 |
| CN102890041B CN102890041B (en) | 2014-11-12 |
Family
ID=47533616
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210405997.XA Expired - Fee Related CN102890041B (en) | 2012-10-23 | 2012-10-23 | Edible oil quality detection method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102890041B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103604911A (en) * | 2013-11-18 | 2014-02-26 | 江西绿杉油脂有限公司 | Quality test method of edible fat and oil |
| CN112067326A (en) * | 2020-08-07 | 2020-12-11 | 珠海格力电器股份有限公司 | Intelligent cooking equipment performance testing method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4850217A (en) * | 1988-04-12 | 1989-07-25 | Hpm Corporation | Adaptive process control for injection molding |
| JPH05164587A (en) * | 1991-12-12 | 1993-06-29 | Snow Brand Milk Prod Co Ltd | Fluid flowrate measurement device and viscosity measurement device |
| CN102393348A (en) * | 2011-10-26 | 2012-03-28 | 常州天合光能有限公司 | Method for testing rheological property of conductive slurry |
| CN102507380A (en) * | 2011-09-29 | 2012-06-20 | 中国航空工业集团公司北京航空材料研究院 | Method for determining high-temperature movement viscosity of lubricating oil |
| CN102967537A (en) * | 2012-11-15 | 2013-03-13 | 山东泰德新能源有限公司 | Method for quickly analyzing illegal cooking oil |
-
2012
- 2012-10-23 CN CN201210405997.XA patent/CN102890041B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4850217A (en) * | 1988-04-12 | 1989-07-25 | Hpm Corporation | Adaptive process control for injection molding |
| JPH05164587A (en) * | 1991-12-12 | 1993-06-29 | Snow Brand Milk Prod Co Ltd | Fluid flowrate measurement device and viscosity measurement device |
| CN102507380A (en) * | 2011-09-29 | 2012-06-20 | 中国航空工业集团公司北京航空材料研究院 | Method for determining high-temperature movement viscosity of lubricating oil |
| CN102393348A (en) * | 2011-10-26 | 2012-03-28 | 常州天合光能有限公司 | Method for testing rheological property of conductive slurry |
| CN102967537A (en) * | 2012-11-15 | 2013-03-13 | 山东泰德新能源有限公司 | Method for quickly analyzing illegal cooking oil |
Non-Patent Citations (1)
| Title |
|---|
| 苏蕊 等: "食用油品质的检测技术进展", 《岩矿测试》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103604911A (en) * | 2013-11-18 | 2014-02-26 | 江西绿杉油脂有限公司 | Quality test method of edible fat and oil |
| CN112067326A (en) * | 2020-08-07 | 2020-12-11 | 珠海格力电器股份有限公司 | Intelligent cooking equipment performance testing method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102890041B (en) | 2014-11-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ooi et al. | Pediatric sarcopenia: a paradigm in the overall definition of malnutrition in children? | |
| CN102590283B (en) | Method for detecting freshness of grass carp by using electronic nose | |
| CN103472094B (en) | A kind of olfactory analog instrument and predetermined substance gas（Smell）Taste grade field assay method | |
| CN102590288B (en) | Food quality detection system and detection method based on electronic nose | |
| Innawong et al. | The determination of frying oil quality using a chemosensory system | |
| CN106324011B (en) | A kind of freshness associated detecting method for determining conditioning aquatic product low temperature shelf life | |
| Yang et al. | Quality evaluation of frying oil deterioration by dielectric spectroscopy | |
| CN101825594B (en) | Method for quick nondestructive detection of freshness of freshwater fish | |
| CN102890041B (en) | Edible oil quality detection method and system | |
| Bahram-Parvar | A review of modern instrumental techniques for measurements of ice cream characteristics | |
| JP2019505005A5 (en) | ||
| CN109507379A (en) | A method of with typical odor compounds in electronic nose detection drinking water | |
| CN202854124U (en) | Detector for characteristics of edible oils and fats | |
| Prakash et al. | Methods of detecting fouling caused by heating of milk | |
| CN103207200B (en) | Judge the method for waste oil by characterization compound relative amount | |
| CN205898729U (en) | Grease oxidation stability detection device | |
| SE520875C2 (en) | Methods of analyzing a sample of a starch-containing product, as well as a device for such analysis | |
| Cui et al. | Real-time profiling and distinction of lipids from different mammalian milks using rapid evaporative ionization mass spectrometry combined with chemometric analysis | |
| CN116823363B (en) | Dish-washing machine performance rating system and evaluation method | |
| JP2006226735A (en) | Evaluation method of deterioration of edible oil, and deterioration evaluation device of edible oil | |
| Li et al. | Zooplankton size structure in relation to environmental factors in the Xiangxi Bay of Three Gorges Reservoir, China | |
| US20100209893A1 (en) | Method and Apparatus for Prescribing and Preparing a Reproducible and Customized Dysphagia Diet | |
| Young et al. | Exploring the links between texture perception and bolus properties throughout oral processing. Part 2: Bolus mechanical and rheological properties | |
| CN106018487B (en) | A kind of method of quick detection egg freshness | |
| CN110095515A (en) | A kind of method for quick predicting and system of edible oil and fat frying foaming tendency |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20141112 Termination date: 20211023 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |