CN106662561A - A method and device for determining the quality of edible oil - Google Patents
A method and device for determining the quality of edible oil Download PDFInfo
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Abstract
A method of determining the quality of edible oil is disclosed. The method comprises determining a plurality of parameters of the edible oil at 502, the plurality of parameters including dielectric constant and viscosity, using the plurality of parameters as input variables of a mathematical model for predicting values of both the total polar compounds (TPC) and triglyceride polymeric content (PTG) of the edible oil at 504, comparing the predicted TPC and PTG values with corresponding predetermined thresholds at 506, and determining the quality of the edible oil based on the comparison at 508. A corresponding device is also disclosed.
Description
Technical field
The present invention relates to be used for the method and apparatus for determining the quality of edible oil.
Background technology
For the deep-fried of food, the edible oil for using is exposed to oxygen and from food at a high temperature of about 180 DEG C
Moisture.As a result, the numerous chemical reactions of oil experience (for example, be polymerized and aoxidize), so as to produce the change initial oil of significant quantity
The compound of the quality of (original oils), causes oil to deteriorate with the time.Particularly, oil deterioration is generally accompanied by oil used
Color, the change of free fatty acid levels, trans fats, polycyclic aromatic hydrocarbon (PAHS) and oil polarity increase.In business
In environmental applications, oily deterioration problem is further exacerbated by, because oil is generally reused many times with cost-effective before discarding, because
This is likely to result in public health harm.Because the quality of the food of preparation is directly related with the quality of oil in oil, it is important that
The degree of oil deterioration is determined by degrading index, to mitigate using those oily health hazards.However, still not used for determination
The simple and direct method of index, to determine when that oil is deteriorated to the degree for needing to abandon.
Extensively common recognition has been reached, and the oil for culinary art must be abandoned in use for some time.Routinely, with regard to what
When abandon visual inspection of the decision of oil based on oil quality, or the experience of cook by determining when more to change oil, based on color,
Smell, excessive foam and cigarette, and/or simply by tasting fried food.However, because these methods have subjectivity,
They are unreliable, and need offer to disappear with the public for ensureing fried food with regard to the alternative of the quantitative information of index of degrading
The health and safety of the person of expense.At present, the various chemically and physically parameters for being described by oil product chemist association of the U.S. (AOCS) are used for
Oil quality is evaluated in laboratory environment.In those parameters, Germany's fat and oily association (DGF) are it is further recommended that pay close attention to
Two important mass parameters, total polar compound (total polar compounds, TPC) and the ester content of polyglycerol three
(polymeric triglyceride content, PTG), for the quality evaluation of this oil.However, in the normal of food foundation
In rule operation, due to being related to time and cost, the two mass parameters are determined by frequently analyzing test to detect oil
Amount is highly difficult and challenging.On the contrary, the kit that can quickly test also is expected to provide practical, quick and simple
Mode monitoring the deterioration of oil quality.
Regrettably, this test kit is considerably less on market.Additionally, in the middle of those are commercially available, test examination
The major defect of agent box is that they only monitor the one side of oil quality, such as free fatty (FFA), the compound of oxidation or
TPC, has shown that these are insufficient according to research.Additionally, also confirming that no one of those test kits can be in statistics
Level is provided and those the comparable results obtained by the analysis method for conventional fried oil.By the curve of Fig. 1 and Fig. 2
Figure 100 and chart 200 are it can be seen that this point, they are described respectively by two kinds of different methods, and (one kind is method of testing, another
Kind it is test kit) comparison of result that obtains, and the corresponding result obtained using formal analysis method.People were once
Jing makes great efforts design and judges based on the measurement of multiple degraded indexs the better method of oil quality, but also it is no it is very big into
Work(.
Therefore, an object of the invention is to solve at least one problem of prior art and/or provide to can be used for ability
The selection in domain.
The content of the invention
According to the first aspect of the invention, there is provided a kind of method of the quality for determining edible oil.The method includes determining
The multiple parameters of edible oil, the plurality of parameter includes dielectric constant and viscosity, using the plurality of parameter as Mathematical Modeling
Input variable, for predict edible oil total polar compound (TPC) and triglycerides polymer content (PTG) the two
Value, TPC the and PTG values of prediction are compared with corresponding predetermined threshold value, and based on comparing, determine the quality of edible oil.
Method proposed by the present invention is beneficial to quick test to repeat again during and after deep-fried operation is repeated
The quality of the edible oil for utilizing, and for the benefit of food security purpose, test is also allowed using conveniently and by the way of practicality
Tested, for determining whether those oil are overused.More particularly, by using quickly measuring some input variables,
The method of proposition provides two important quality index (being TPC and PTG) values of the two of prediction edible oil, and this can determine
The degree of the chemical deterioration that edible oil has experienced, therefore, it is possible to determine whether the oil is still applied to use.Additionally, the side for proposing
Method can reliably provide the accurate predicted value of both TPC and PTG.
Preferably, Mathematical Modeling can include nonlinear mathematical model.It is highly preferred that for predicting the non-linear of TPC values
Mathematical Modeling can be expressed as formula：TPC=-12.353-0.0199DC2+1.591DC+0.00519vis2-
0.0328vis, wherein, DC is dielectric constant, and vis is viscosity.Additionally, equation can be with 2.01 root-mean-square-deviation (RMSE) value
R with 0.932Value is characterized, wherein, R is Pearson product moment correlation coefficients (Pearson product-moment
correlation coefficient)。
It is further preferred that the nonlinear mathematical model for predicting PTG values can be expressed as formula：PTG=-9.936+
0.00608vis2-0.0385vis–0.00470DC2+ 0.376DC, wherein, DC is dielectric constant, and vis is viscosity.Particularly, etc.
Formula can be with 1.50 root-mean-square-deviation (RMSE) value and 0.92 R2Value is characterized, wherein, R is Pearson product-moment correlations
Coefficient.
Additionally, determining that dielectric constant can include the Measuring Dielectric Constant preferably at a temperature of about 80 DEG C, and determine viscosity
Can include preferably measuring viscosity at a temperature of about 40 DEG C.In addition, multiple parameters can also include brightness, redness, Lan Du,
Absorbance and refractive index.
Preferably, determine absorbance to be included under the wavelength of 450nm or 490nm and measure absorbance.It is further preferred that making
It is used to predict that the value of both TPC and PTG can also include parallel computation TPC as the input variable of Mathematical Modeling with multiple parameters
With the value of PTG.If it is further preferred that the method can further include the TPC values or PTG values of prediction beyond corresponding
Predetermined threshold value, then produce alarm signal.It is highly preferred that the method may further include the alarm signal provided corresponding to producing
Number visually indicate.
It is further preferred that the nonlinear mathematical model for predicting PTG values can be expressed as formula：PTG=-
73.208+0.00692vis2-0.0413vis+33.317RI2+ 15.473RI, wherein, RI is refractive index, and vis is viscosity.Equation
Can be with 1.44 root-mean-square-deviation (RMSE) value and 0.94 R2Value is characterized, wherein, R is coefficient correlation.
According to the second aspect of the invention, there is provided for determining the device of the quality of edible oil.The device contains applicable
In it is determined that edible oil multiple parameters multiple probes, the plurality of parameter includes dielectric constant and viscosity, and data processing
Device, it is applied to：Using the plurality of parameter as Mathematical Modeling input variable, for predicting total polar compounds of edible oil
Thing (TPC) and triglycerides polymer content (PTG) value of the two, by TPC the and PTG values and corresponding predetermined threshold value of prediction
Compare, and based on comparing, determine the quality of edible oil.
Preferably, if data processor can be further applicable to the TPC values predicted or PTG values beyond corresponding predetermined
Threshold value, then produce alarm signal.It is further preferred that described device can also contain for providing corresponding to the warning for producing
The display screen for visually indicating of signal.Mathematical Modeling can include nonlinear mathematical model.Additionally, the number for predicting TPC values
The nonlinear mathematical model used according to processor can be preferably expressed as below equation：TPC=-12.353-0.0199DC2+
1.591DC+0.00519vis2- 0.0328vis, wherein, DC is dielectric constant, and vis is viscosity.In addition, for predicting PTG values
The nonlinear mathematical model that uses of data processor can be expressed as formula：PTG=-9.936+0.00608vis2-
0.0385vis–0.00470DC2+ 0.376DC, wherein, DC is dielectric constant, and vis is viscosity.Or, for predicting PTG values
The nonlinear mathematical model that data processor is used is also denoted as below equation：PTG=-73.208+0.00692vis2-
0.0413vis+33.317RI2+ 15.473RI, wherein, RI is refractive index, and vis is viscosity.
Preferably, in multiple probes can be configured so that for the Measuring Dielectric Constant at a temperature of about 80 DEG C,
Also further, in multiple probes can be configured so that for measuring viscosity at a temperature of about 40 DEG C.That is,
The value of dielectric constant and viscosity can be obtained at different temperature.
Preferably, multiple probes can include probe as at least two.Particularly, in probe as at least two
One can be configured so that for both Measuring Dielectric Constant and temperature.It is further preferred that the device can further containing defeated
Enter panel, for resetting the value of predetermined threshold value.
It should be obvious that the feature related to an aspect of of the present present invention is readily adaptable for use in other sides of the present invention
Face.
With reference to embodiments described hereinafter, these and other aspects of the invention will be evident that and illustrate.
Description of the drawings
It is used for open embodiments of the present invention below with reference to accompanying drawing, wherein：
Fig. 1 is to show edible oil (for example, the sunflower oil) matter by chicken nugget is used for according to prior art for measurement
The curve map of the comparison of the result that two kinds of different methods of amount are obtained, wherein, first method is the test side of AOCS%FFA
Method, second method is to be referred to as FASafeTMThe test kit of %FFA, wherein, what %FFA was represented is free fatty
Percentage；
Fig. 2 is description by commercially available test kitWhat is obtained tests fraction and by formal
The column diagram of the deviation (discrepancy) between the corresponding expected fraction that analysis method is obtained, for measurement according to existing
Technology is used for the quality of the palm oil of fries；
Fig. 3 is, according to one embodiment of the present invention, to verify total polar compound (TPC) matter for predicting edible oil
The scatter diagram of the equation of the nonlinear mathematical model that figureofmerit is obtained；
Fig. 4 is the identical embodiment according to Fig. 3, verifies the content of triglyceride for predicting the polymerization of edible oil
(PTG) scatter diagram of the equation of the nonlinear mathematical model that quality index is obtained；
Fig. 5 is to describe to be used for the flow chart for determining the method for edible oil quality according to embodiment；
Fig. 6 is the schematic diagram of the device of the method with reference to Fig. 5；
Fig. 7 is to compare to set up the edible oil for obtaining by random food with the device using Fig. 6 by testing the TPC values for obtaining
The column diagram of the corresponding TPC values of sampling；With
Fig. 8 is to compare to set up the edible oil for obtaining by random food with the device using Fig. 6 by testing value PTG for obtaining
The column diagram of the corresponding PTG values of sampling.
Specific embodiment
According to the first embodiment of the invention, disclose a kind of based on two quality index for promoting determination oil quality,
For the method for the quality of quick test edible oil (for example, fried or culinary art).Described two quality index are monitored spy
Determine total polar compound (TPC) and triglycerides polymer content (PTG) of edible oil, be further each other input changes
The dependent variable of amount (for example, viscosity, dielectric constant, optical property etc.).
Importantly it is emphasized that being directed according to the method for first embodiment and based on nonlinear mathematical model
The exploitation of (particularly linearly adding rectangle type, linear-plus-square type), by employing offer two can be accumulated
Quality index (TPC and PTG)) accurate prediction aforementioned input variable.Particularly, by successive Regression (stepwise
Regression) technology is developing Mathematical Modeling.Corresponding Mathematical Modeling for the exploitation of TPC and PTG is also independent of one another, its
In each Mathematical Modeling combine include 8 input variables, including brightness (" L* "), redness (" a* "), indigo plant degree (" b* "),
Absorbance (that is, spectral concentration) (" ab under 450nm450"), the absorbance (" ab under 490nm490"), it is viscous at about 40 DEG C
Degree (" vis "), the dielectric constant (" DC ") at about 80 DEG C and refractive index (" RI ").Notice it should be noted that using and divide
The variable of light photometer measurement brightness (" L* "), redness (" a* ") and indigo plant degree (" b* "), and it is expressed as " L*a*b* " colour system
System.On the other hand, using UV-Vis spectrophotometers, in 400-700nm spectral regions absorbance is measured.Additionally, refractive index and
Viscosity is respectively using refractometer and viscosity meter.It will be further understood that, for measuring the temperature of viscosity and dielectric constant
Can to implement at a temperature of aforementioned other beyond those, it is therefore to be understood that using corresponding Mathematical Modeling
It is different.Particularly, by calculating corresponding variable expansion factor (" VIF "), the relation between this eight input variables is determined.
In this case, " VIF is used<10 " standard.In common least square regression analysis, VIF quantitative multiplex syntenies
(multicollinearity) seriousness；VIT is provided for measurement due to the change of the regression coefficient of estimation caused by synteny
Amount increases how many indexs.
In exploitation Mathematical Modeling, using the commercially available test agent for being referred to as " Testo 265 " (being designed for measuring TPC)
Box, by correlation models, the relation set up between DC and TPC, in the case, the model is developed to secondary model
(quadratic model).Particularly, during the process of opening relationships, first by " Testo 265 " test kit and
Another commercially available Laboratory Instruments " DEA 2970 " measures respectively the TPC values and corresponding DC values of any edible oil sample.Such as this
Known to field, " DEA 2970 " instrument is arranged to measure the dielectric property of material as time, temperature and frequency
Dependent variable.Using quadratic dependence model, subsequently further mathematical modeling is carried out, with analytical those Testo-265- measurements are set up
TPC values and corresponding DC values between relation.With regard to remaining seven input variable, the experiment obtained by analysis method is tied
Fruit is used to set up the relation between TPC values and seven input variables, explains such as in paragraph above.
As it was previously stated, exploitation linearly adds rectangle type Mathematical Modeling, for predicting TPC and PTG quality index.With reference to TPC
Prediction, is entered by the evaluation of the various relations (as described in paragraph above) set up between TPC and respective input variable
Row determines that the best-fit mathematics model for quantitative TPC quality index is at least two input variables comprising DC and viscosity
Model.It is as follows, it is determined that the Mathematical Modeling for predicting TPC quality index is represented as second degree polynomial equation (1)：
TPC=-12.353-0.0199DC2+1.591DC+0.00519vis2-0.0328vis (1)
Equation (1) is with the relatively low root-mean-square-deviation (root-mean-square deviation, RMSE) of " 2.01 "
Value and the high R of " 0.93 "2Value is characterized.It is understood that term " R " is coefficient correlation, and term " R2" it is to determine coefficient
(determination coefficient), and the two be usually used in statistical linear regression analysis, with obtain first term with
The index of second coherency of terminology good degree.If " R " value is equal to "+1 ", this show first and second term it
Between there is perfect positive correlation, but if the value is equal to " -1 ", on the contrary, its show first and second term it
Between there is perfect negative correlation, and " 0 " value represents there is no linear dependence between first and second term.With reference to
Equation (1), additionally needs, it is emphasized that as limited in the equations, DC and viscosity input variable square between without inspection
Measure Problems of Multiple Synteny.That is, in statistics technics, it means that DC and viscosity input variable be not with regard to each other
It is height correlation.
On the other hand, for quantitative PTG quality index, it is determined that being also not subjected to the best-fit mathematics of Problems of Multiple Synteny
Model is similar with the input variable comprising DC and viscosity, as equation (1), and is represented as below equation (2)：
PTG=-9.936+0.00608vis2-0.0385vis–0.00470DC2+0.376DC (2)
Equation (2) is with the RMSE value of " 1.50 " and the high R of " 0.92 "2Value is characterized, this corresponding property with equation (1)
Matter is comparable.Additionally, the performance verification result of equation (1) and (2) is respectively in the scatter diagram 300 of Fig. 3 and Fig. 4, show in 400.
With reference now to Fig. 5, it describes the flow chart 500 of method, the quality of edible oil can be identified below：First in step
502, measure the corresponding DC and viscosity number of edible oil.Subsequently, in step 504, by the DC and viscosity number input equation (1) of measurement
(2) in, to predict TPC the and PTG values of edible oil respectively.Subsequently, in following step 506, by the TPC and PTG of prediction
Compared with corresponding predetermined threshold value, the threshold value is based on the food security standard of national relevant health authoritative institution setting to value.
It is readily apparent that food security standard changes between different countries for professional and technical personnel.In last step
Rapid 508, based on comparing, determine the quality of edible oil.More particularly, if beyond any predetermined threshold value, meaning to eat
Oil can no longer be used safely and should abandoned.Based on any threshold value is exceeded, alarm signal is produced, and risen corresponding to warning
The visually indicating of signal (such as red beacon lamp) is to notify user.But if without departing from any predetermined threshold value, then
Edible oil still can be used safely.If still believing that edible oil can use, in this case, also rise and visually indicate
(such as green beacon lamp)) notifying user.
Based on the method for first embodiment, from the aforementioned mathematical model for quantitative TPC and PTG quality index (i.e.,
It is expressed as equation (1) and (2)) the new test kit of exploitation is subsequently used in, for the quality of quick test edible oil.With
The new test kit that the form of device 600 is implemented shows in the schematic diagram of Fig. 6.Particularly, the device 600 of proposition is included
At least three probe 602a, 602b, 602c, TIP 603, display screen 604 and data processor 606, it is used as IC circuits
Implement, average-size is about 1 or 2 standard credit card size.At least three probe 602a, 602b, 602c are configured to use respectively
In measurement viscosity, dielectric constant and temperature.Particularly, at least three probe 602a, 602b, 602c are former based on known operation
Then/device (for example, dielectric constant measurement is used for based on electric capacity, based on vibrating-decay for viscosity measurement, and resistance temperature inspection
Surveying device is used for temperature detection) configured, for implementing the measurement of correlation.It should be understood that may be appropriately used it is any suitable
Finished product probe be used as at least three probe 602a, 602b, 602c.In the case, in addition it is also necessary to further, it is emphasized that being used for
One probe 602a of measurement viscosity is portable V iSmartTMSensor (its is commercially available).It is understood that display screen
604 and data processor 606 be suitably encapsulated in the shell 608 of the device 600 of proposition, be beneficial to and easily locate during operation
Reason.Operation interface of the graphic user interface (GUI) that subsequently employing is developed as usual as the device 600 for proposing.
In order to determine the quality of any edible oil, user's (not shown) of the device 600 for proposing is operated first edible
At least three probe 602a, 602b, 602c are inserted in oil, and waiting device 600 measures the DC of edible oil to be tested and glues
Degree.Subsequently, once measuring DC and viscosity, data processor 606 calculate edible oil TPC and PTG predicted value, and with
The predetermined threshold value stored in device 600 compares.The food that predetermined threshold value sets according to national relevant health authoritative institution
Safety standard is limiting, it is therefore to be understood that the predetermined threshold value stored in device 600 can be logical by using person
Cross TIP 603 to be configured, the value depending on user wish to follow for determine edible oil for consumption safety
Property it is concrete country food security standard.If this relatively discloses the TPC or PTG desired values of any one beyond corresponding pre-
Fixed threshold value, then data processor 606 produce alarm signal, it is subsequently by the display screen 604 of device 600 that proposes with corresponding
Warning red light show and indicated.Warning red light shows and notifies that the quality of user's edible oil is considered as not being suitable for further
Using and need abandon.Additionally, TPC the and PTG predicted values for calculating also show on display screen 604 to user.Phase
Instead, if comparing the desired value for disclosing TPC or PTG without departing from predetermined threshold value, data processor 606 is produced by letter
Number, it is indicated on the display screen 604 of device 600 as being shown with corresponding green light, notifies user's edible oil pair
Prepare in food and still have security.
In order to evaluate proposition device 600 produce result accuracy, using multigroup experimental data and using by with
Machine commercial food products are set up the oil samples collected and are tested, and make device 600 carry out some validation tests.The checking of reference implementation is surveyed
The column diagram 700,800 of the result of examination, Fig. 7 and Fig. 8 shows that the device 600 for proposing realizes as scheduled goodish performance.Particularly
It is that the device 600 of proposition is particularly well-suited to TPC and/or PTG values to pacify close to or over the food that food health authoritative institution is recommended
Those oil samples of full limit, wherein professional and technical personnel recognizes that these are the accuracys of any test kit for energy
It is enough to determine whether abandon or be still adapted to situation critically important for use using the edible oil of certain period of time.
Other embodiments of the present invention are described below.For the sake of succinct, do not repeat between each embodiment
The description of common identical element, function and operation；But with reference to the similar part of related embodiment.
According to second embodiment, different Mathematical Modelings be used to predict PTG quality index, and be used to predict TPC
The Mathematical Modeling of quality index is kept such as ((according to equation (1)) described in first embodiment.In the case,
Mathematical Modeling for quantitative PTG is changed to using the refractive index input variable different with the two of viscosity, relative with DC and viscosity.
Particularly, it is expressed as quadratic polynomial equation (3) for predicting the Mathematical Modeling of PTG quality index：
PTG=-73.208+0.00692vis2-0.0413vis+33.317RI2+15.473RI (3)
It should be noted that equation (3) is with the low RMSE value of " 1.44 " and the high R of " 0.94 "2Value is characterized.Additionally,
As described in first embodiment, the device 600 of proposition can subsequently carry out corresponding modification with using being expressed as
The Mathematical Modeling of formula (1) and (3) is used for the quality of quick test edible oil.
In a word, the method for proposition is solved can carry out the food that quick test repeats to recycle in the way of facilitating and be practical
With the problem of the quality of oil so that can be readily determined whether those edible oils should abandon.More particularly, by using
Some input variables (for example, oily optics, rheology and dielectric property) are quickly measured, the method for proposition provides prediction and eats
The value of two important quality index (that is, TPC and PTG) of oil, with reference to by Mathematical Modeling, therefore, it is possible to determine edible oil
The chemical deterioration degree of experience, it is thus determined that whether edible oil is still adapted to use.Equally, the method for proposition can at the restaurant,
Adopt under food export and fast food outlet device, wherein edible oil is repeatedly re-used, for fried/cooking food, and lose
The decision of those edible oils is abandoned routinely based on subjective index (for example, oily color state, foaming situation) or based on by conventional
The result that obtains of test kit and be used, however, by previous research it was demonstrated that insufficient based on these and can not
Lean on.It should also be emphasized that the method for proposing is also first of the accurate predicted value that can jointly provide both TPC and PTG
One of method for rapidly testing.
Additionally, it is also to be recognized that the method for proposing is exploited for testing through the edible oil of depth fry operations.In depth
Fried period is spent, some chemical changes occur due to heating, and new compound is produced in edible oil, therefore design is carried
There are those new compounds to test in edible oil in the method for going out, to determine their available quality.For example, if edible
Oil be only used for stirring it is fried, then those new compounds may not exist with significant quantity, it is therefore proposed that method determine edible oil
Quality be still sufficient to satisfactorily use safely and consume.
However, the described embodiment property of should not be construed as limitations.For example, the data of the device 600 of proposition
Processor 606 can or realize in the microcomputer form outside device 600, or can also be using any other suitable
The data processing equipment of mode.Further, it is also possible to using other types of Mathematical Modeling (including nonlinear model, linear model,
Complete quadratic modes etc.) for predicting TPC and PTG quality index, as professional and technical personnel understands.It is also to be recognized that except DC
Beyond two input variables of viscosity, for predicting that other suitable Mathematical Modelings of TPC and PTG quality index can also be included
Other input variables, for example, brightness (" L* "), redness (" a* "), indigo plant degree (" b* "), absorbance and refractive index (" RI ").Ginseng
Examine the TPC/PTG values of prediction and the comparison of corresponding predetermined threshold value, when beyond/without departing from threshold value when, be changed to propose dress
Put display alarm red light/green light on 600 display screen 604, the index that can be taken other form, for example, using can hear
Signal etc. show corresponding suitable information, as professional and technical personnel understands.Additionally, the device 600 for proposing can be with quilt
It is configured to local storage and data that multiple sample tests (that is, historical data storage) for having been carried out are related, and
The data of storage can easily be downloaded to outer computer, for being carried out by the connector provided on the device 600 for proposing
Analysis.Additionally, the data for having stored can be with the display in the form of simple figure on the display screen 604 of the device 600 for proposing
To user, when for the quality for testing edible oil, it is easy to reference immediately.
With regard to the device 600 for proposing, replace configuration that there are at least three probe 602a, 602b, 602c, it goes for
Be operated with least two probes, wherein using also can the DC probes of measurement temperature (that is, DC probes measure DC and temperature simultaneously
Both degree) as one of two probes.In fact, propose DC probes be construed as being equal to be changed to independent measurement DC and
Foregoing two probes 602b, 602c of temperature.It should be noted that in such construction, the DC probes of proposition by
A type of special metal is formed, its be normally used in resistance temperature detector (RTD) be used for temperature survey (but adopted
The design of DC probes and geometry for proposing can be with difference, but possible change is that professional and technical personnel can be with
Understand).Equally, in the case, proposition DC probes replace " Testo 265 " test kit, before the kit
It is the relation for being set up between DC and TPC by correlation models described in first embodiment；That is, DC values make
With the DC probe direct measurements for proposing, it is no longer necessary to the relation set up between DC and TPC.
Additionally, the device 600 for proposing may not configure the related probe having for measuring DC values；But, it is based on
The output of the measurement of " Testo 265 " test kit, by using transformation model, uses " Testo 265 " test kit
DC values are measured indirectly.
Further, after the related DC and viscosity that measure edible oil to be tested, the device 600 of proposition can be with
It is arranged to indicate data processor 606 with the predicted value of the TPC of parallel computation edible oil and PTG.That is, while making
With aforementioned related Mathematical Modeling, the predicted value of parallel computation TPC and PTG.However, it will also be appreciated that no matter TPC and PTG
Predicted value be parallel or order is calculated for the appropriate operation of device 600 for proposing is not crucial, as long as pre-
The calculating for surveying TPC and PTG values is sufficiently rapidly implemented in rational acceptable time inframe, and this will allow the dress for proposing
Put 600 to be used as " quick test kit ".
It should be appreciated that the corresponding coefficient simply provided in above-mentioned equation (1)-(3) is for the purpose of illustration, and
And it is not limited to equation (1)-(3).Therefore, other of the coefficient of equation (1)-(3) of the mathematical form described by being fitted are suitable
Combination be also possible.
Although accompanying drawing and it is described above in illustrated and described in detail the present invention, such explanation and description are considered as
It is illustrative or exemplary, but is not restricted；The present invention is not limited to disclosed embodiment.Implementing to require to protect
In the present invention of shield, it will be appreciated by those skilled in the art that and realizing changing other of disclosed embodiment.
Claims (27)
1. a kind of method of the quality for determining edible oil, the method includes：
Determine the multiple parameters of edible oil, the plurality of parameter includes dielectric constant and viscosity；
Using the plurality of parameter as Mathematical Modeling input variable, for predicting total polar compound (TPC) of edible oil
With triglycerides polymer content (PTG) value of the two；
TPC the and PTG values of prediction are compared with corresponding predetermined threshold value；With
Based on comparing, the quality of edible oil is determined.
2. method according to claim 1, wherein, the Mathematical Modeling includes nonlinear mathematical model.
3. method according to claim 2, wherein, for predicting that the nonlinear mathematical model of TPC values is expressed as
Formula：TPC=-12.353-0.0199DC2+1.591DC+0.00519vis2- 0.0328vis,
Wherein, DC is dielectric constant；With
Vis is viscosity.
4. method according to claim 3, wherein, the equation is with 2.01 root-mean-square-deviation (RMSE) value and 0.93
R2Value is characterized, wherein, R is coefficient correlation.
5. method according to claim 2, wherein, for predicting that the nonlinear mathematical model of PTG values is expressed as
Formula：PTG=-9.936+0.00608vis2-0.0385vis–0.00470DC2+ 0.376DC,
Wherein, DC is dielectric constant；With
Vis is viscosity.
6. method according to claim 5, wherein, the equation is with 1.50 root-mean-square-deviation (RMSE) value and 0.92
R2Value is characterized, wherein, R is coefficient correlation.
7. method according to claim 2, wherein it is determined that dielectric constant is included at a temperature of about 80 DEG C, to measure dielectric normal
Number.
8. method according to claim 2, wherein it is determined that viscosity is included at a temperature of about 40 DEG C measures viscosity.
9. method according to claim 1, wherein, the plurality of parameter also includes brightness, redness, Lan Du, absorbance
And refractive index.
10. method according to claim 9, wherein it is determined that absorbance is included under the wavelength of 450nm or 490nm measuring
Absorbance.
11. methods according to claim 1, wherein, used using the plurality of parameter as the input variable of Mathematical Modeling
Also include the value of parallel computation TPC and PTG in the value of prediction both TPC and PTG.
12. methods according to claim 1, wherein, if methods described also includes that the TPC values or PTG values of prediction exceed
Corresponding predetermined threshold value, produces alarm signal.
13. methods according to claim 12, wherein, methods described also includes providing corresponding to the alarm signal for producing
Visually indicate.
14. methods according to claim 2, wherein, for predicting that the nonlinear mathematical model of PTG values is expressed as
Formula：PTG=-73.208+0.00692vis2-0.0413vis+33.317RI2+15.473RI,
Wherein, RI is refractive index；With
Vis is viscosity.
15. methods according to claim 14, wherein, the equation is with 1.44 root-mean-square-deviation (RMSE) value and 0.94
R2Value is characterized, wherein, R is coefficient correlation.
A kind of 16. devices for determining the quality of edible oil, the device contains：
Multiple probes suitable for determining the multiple parameters of edible oil, the plurality of parameter includes dielectric constant and viscosity；With
Data processor, it is applied to：
Using the plurality of parameter as Mathematical Modeling input variable, for predicting total polar compound (TPC) of edible oil
With triglycerides polymer content (PTG) value of the two；
TPC the and PTG values of prediction are compared with corresponding predetermined threshold value；With
Based on comparing, the quality of edible oil is determined.
17. devices according to claim 16, wherein, if the data processor apply also for predict TPC values or
PTG values produce alarm signal beyond corresponding predetermined threshold value.
18. devices according to claim 17, wherein, described device also contains：
For providing the display screen for visually indicating corresponding to the alarm signal for producing.
19. devices according to claim 16, wherein, the Mathematical Modeling includes nonlinear mathematical model.
20. devices according to claim 19, wherein, for predicting the non-thread that the data processor of TPC values is used
Property Mathematical Modeling is expressed as equation：TPC=-12.353-0.0199DC2+1.591DC+0.00519vis2-0.0328vis,
Wherein, DC is dielectric constant；With
Vis is viscosity.
21. devices according to claim 19, wherein, for predicting the non-thread that the data processor of PTG values is used
Property Mathematical Modeling is expressed as equation：PTG=-9.936+0.00608vis2-0.0385vis–0.00470DC2+0.376DC,
Wherein, DC is dielectric constant；With
Vis is viscosity.
22. devices according to claim 19, wherein, for predicting the non-thread that the data processor of PTG values is used
Property Mathematical Modeling is expressed as equation：PTG=-73.208+0.00692vis2-0.0413vis+33.317RI2+15.473RI,
Wherein, RI is refractive index；With
Vis is viscosity.
23. devices according to claim 19, wherein, in the plurality of probe is arranged at about 80 DEG C
At a temperature of Measuring Dielectric Constant.
24. devices according to claim 19, wherein, in the plurality of probe is arranged at about 40 DEG C
At a temperature of measure viscosity.
25. devices according to claim 16, wherein, the plurality of probe includes probe as at least two.
26. devices according to claim 25, wherein, in probe as described at least two is arranged to
Measuring Dielectric Constant and temperature.
27. devices according to claim 16, wherein, described device also contains TIP, predetermined for resetting
Threshold value value.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
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| US201461954883P | 2014-03-18 | 2014-03-18 | |
| US61/954,883 | 2014-03-18 | ||
| PCT/SG2015/000080 WO2015142283A1 (en) | 2014-03-18 | 2015-03-13 | A method and device for determining the quality of edible oil |
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| CN106662561B CN106662561B (en) | 2019-06-11 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107367468A (en) * | 2017-08-03 | 2017-11-21 | 北京师范大学 | A kind of free fatty acid determination method in edible oil |
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| AU2015284441B2 (en) | 2014-06-30 | 2018-05-24 | Pitco Frialator, Llc | System and method for sensing oil quality |
| US9841394B2 (en) | 2015-11-16 | 2017-12-12 | Pitco Frialator, Inc. | System and method for sensing oil quality |
| US10436730B2 (en) | 2015-12-21 | 2019-10-08 | Pitco Frialator, Inc. | System and method for sensing oil quality |
| AU2019301514A1 (en) | 2018-07-09 | 2021-01-28 | Cargill, Incorporated | Spectroscopic evaluation of edible oil using profiles |
| WO2020139952A1 (en) * | 2018-12-27 | 2020-07-02 | Cargill, Incorporated | Edible oil management including sensing and modeling |
| EP3955788A1 (en) * | 2019-04-16 | 2022-02-23 | Bandeira Santana Alcobia, Pedro Guilherme | A fryer and a method for controlling the operation of the fryer depending on the condition of a frying liquid |
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| CN106662561B (en) | 2019-06-11 |
| WO2015142283A1 (en) | 2015-09-24 |
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