CN106662561B - Method and apparatus for determining the quality of edible oil - Google Patents
Method and apparatus for determining the quality of edible oil Download PDFInfo
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Abstract
The invention discloses a kind of methods of the quality of determining edible oil.This method is included in 502, determine the multiple parameters of edible oil, the multiple parameter includes that dielectric constant and viscosity 504 use the multiple parameter as the input variable of mathematical model, the value of both total polar compound (TPC) and triglycerides polymer content (PTG) for predicting edible oil, 506, TPC the and PTG value of prediction is compared with corresponding scheduled threshold value, and 508, based on comparing, the quality of edible oil is determined.The invention also discloses corresponding devices.
Description
Technical field
The present invention relates to the method and apparatus for determining the quality of edible oil.
Background technique
For the deep-fried of food, the edible oil used is exposed to oxygen at a high temperature of about 180 DEG C and from food
Moisture.As a result, the numerous chemical reactions of oil experience (for example, polymerization and oxidation), to generate the change initial oil of significant quantity
The compound of the quality of (original oils) causes oil to deteriorate at any time.In particular, oil deterioration is usually along with oil used
Color, free fatty acid levels variation, trans fats, polycyclic aromatic hydrocarbon (PAHS) and oil polar increase.In business
In environmental applications, oily deterioration problem is further exacerbated by, because oil is usually reused many times to save cost before discarding, because
This may cause public health harm.Since the quality of the food prepared in the oil is directly related with the quality of oil, it is important that
Determine the degree of oil deterioration, by degradation index to mitigate the health hazard using those oil.However, still not for determining
The simple and direct method of index, to determine when that oil has been deteriorated to the degree for needing to abandon.
Reach and known together extensively, the oil for culinary art must abandon in use for some time.Routinely, about what
When abandon visual inspection of the decision based on oil quality of oil, 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, since these methods have subjectivity,
They are unreliable, and need to provide the alternative about the quantitative information of degradation index to guarantee that the public of fried food disappears
The health and safety of the person of expense.Currently, being used for by the various chemically and physically parameters that oil product chemist association, the U.S. (AOCS) describes
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
The triglycerides of two important mass parameters, total polar compound (total polar compounds, TPC) and polymerization contains
It measures (polymeric triglyceride content, PTG), the quality evaluation for this oil.However, established in food
In routine operation, due to being related to time and cost, determine the two mass parameters to detect oil by frequently analyzing test
Quality is highly difficult and challenging.On the contrary, the kit that can quickly test also be expected to provide it is practical, quick and simple
Easy mode is to monitor the deterioration of oil quality.
Regrettably, this test kit is considerably less in the market.In addition, in those are commercially available, test examination
The major defect of agent box is that they only monitor the one side of oil quality, for example, free fatty acid (FFA), oxidation compound or
It is insufficient that these have been displayed according to research in TPC.In addition, also confirming that no one of those test kits can be in statistics
Level provide with by those of obtaining comparable result for the analysis method of common 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, and by two different methods, (one is test methods, another
Kind it is test kit) the obtained comparison of result, and the corresponding result obtained using formal analysis method.People were once
Judge the better method of oil quality through making great efforts design based on the measurement of multiple degradation indexs, but also without it is very big at
Function.
Therefore, an object of the invention is to solve the problems, such as at least one of the prior art and/or provide to can be used for ability
The selection in domain.
Summary of the invention
According to the first aspect of the invention, a kind of method of the quality of determining edible oil is provided.This method includes determining
The multiple parameters of edible oil, the multiple parameter include dielectric constant and viscosity, use the multiple parameter as mathematical model
Input variable, for predicting total polar compound (TPC) of edible oil and both content of triglyceride (PTG) of polymerization
TPC the and PTG value of prediction is compared with corresponding scheduled threshold value, and based on comparing, determines the quality of edible oil by value.
Method proposed by the present invention, which is beneficial to quickly test during and after repeating deep-fried operation, to be repeated again
The quality of the edible oil utilized, and for the benefit of food safety purpose, also allow to test by the way of convenient and practical
It is tested, for determining whether those oil are overused.More particularly, by utilizing the certain input variables of rapid survey,
The method of proposition provides the value of both two important quality index (for TPC and PTG) of prediction edible oil, this can determine
The degree for the chemical deterioration that edible oil has been undergone, therefore, can determine the oil whether be still applied to using.In addition, the side proposed
Method can reliably provide the accurate predicted value of both TPC and PTG.
Preferably, mathematical model may include nonlinear mathematical model.It is highly preferred that for predicting the non-linear of TPC value
Mathematical model 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.In addition, equation can be with 2.01 root-mean-square-deviation (RMSE) value
With 0.93 R2Value is characterized, wherein R is Pearson product moment correlation coefficient (Pearson product-moment
correlation coefficient)。
It is further preferred that for predicting that the nonlinear mathematical model of PTG value 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.In particular, waiting
Formula can be with 1.50 root-mean-square-deviation (RMSE) value and 0.92 R2Value is characterized, wherein R is Pearson product-moment correlation
Coefficient.
In addition, determining that dielectric constant may include and determining viscosity preferably in about 80 DEG C of at a temperature of Measuring Dielectric Constant
May include preferably about 40 DEG C at a temperature of measure viscosity.In addition, multiple parameters can also include brightness, redness, Lan Du,
Absorbance and refractive index.
Preferably, determine that absorbance may include measuring absorbance under the wavelength of 450nm or 490nm.It is further preferred that making
Use multiple parameters as the input variable of mathematical model for predicting that the value of both TPC and PTG can also include parallel computation TPC
With the value of PTG.It is further preferred that if TPC value or PTG value that this method can further include prediction are beyond corresponding
Scheduled threshold value, then generate alarm signal.It is highly preferred that this method may further include the alarm signal provided corresponding to generating
Number visually indicate.
It is further preferred that for predicting that the nonlinear mathematical model of PTG value 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
It can be with 1.44 root-mean-square-deviation (RMSE) value and 0.94 R2Value is characterized, wherein R is related coefficient.
According to the second aspect of the invention, the device for determining the quality of edible oil is provided.The device contains applicable
In the multiple probes for the multiple parameters for determining edible oil, the multiple parameter includes dielectric constant and viscosity and data processing
Device, it is suitable for: use the multiple parameter as the input variable of mathematical model, for predicting total polar compounds of edible oil
The value of object (TPC) and the content of triglyceride (PTG) of polymerization the two, by TPC the and PTG value of prediction and corresponding scheduled threshold value
It compares, and based on comparing, determines the quality of edible oil.
Preferably, if TPC value or PTG value that data processor can be further applicable to prediction are beyond corresponding predetermined
Threshold value, then generate alarm signal.It is further preferred that described device can also be containing for providing corresponding to the alarm generated
The display screen of signal visually indicated.Mathematical model may include nonlinear mathematical model.In addition, for predicting the number of TPC value
The nonlinear mathematical model used according to processor can be preferably expressed as following 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 value
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.Alternatively, for predicting PTG value
The nonlinear mathematical model that data processor uses is also denoted as following equation: PTG=-73.208+0.00692vis2-
0.0413vis+33.317RI2+ 15.473RI, wherein RI is refractive index, and vis is viscosity.
Preferably, one in multiple probes can be set in about 80 DEG C of at a temperature of Measuring Dielectric Constant,
Also further, one in multiple probes can be set to for about 40 DEG C at a temperature of measure viscosity.That is,
The value of dielectric constant and viscosity can obtain at different temperature.
Preferably, multiple probes may include probe as at least two.In particular, in probe as at least two
One can be set to for both Measuring Dielectric Constant and temperature.It is further preferred that the device can be further containing defeated
Enter panel, for resetting the value of scheduled threshold value.
It should be obvious that feature relevant to an aspect of of the present present invention is readily applicable to other sides of the invention
Face.
With reference to embodiments described hereinafter, these and other aspects of the invention will be evident and be illustrated.
Detailed description of the invention
Referring to the attached drawing below for open embodiments of the present invention, in which:
Fig. 1 is display by for measuring edible oil (for example, sunflower oil) matter that be used to have chicken nugget according to the prior art
The curve graph of the comparison for the result that two different methods of amount obtain, wherein first method is the test side of AOCS%FFA
Method, second method are to be referred to as FASafeTMThe test kit of %FFA, wherein what %FFA was indicated is free fatty acid
Percentage；
Fig. 2 is that description passes through commercially available test kitWhat is obtained tests score and passes through formally
The column diagram for the deviation (discrepancy) between corresponding expected score that analysis method obtains, for measuring according to existing
Quality of the technology for the palm oil of fries；
Fig. 3 is to verify total polar compound (TPC) matter for predicting edible oil according to one embodiment of the present invention
The scatter plot of the equation for the nonlinear mathematical model that figureofmerit obtains；
Fig. 4 is the identical embodiment according to Fig. 3, verifies the content of triglyceride for predicting the polymerization of edible oil
(PTG) scatter plot of the equation for the nonlinear mathematical model that quality index obtains；
Fig. 5 is the flow chart that description is used to determine the method for edible oil quality according to embodiment；
Fig. 6 is the schematic diagram of the device of the method in conjunction with Fig. 5；
Fig. 7 is to compare the edible oil established with the device using Fig. 6 by random food by testing obtained TPC value
The column diagram of the corresponding TPC value of sampling；With
Fig. 8 is to compare the edible oil established with the device using Fig. 6 by random food by testing obtained value PTG
The column diagram of the corresponding PTG value of sampling.
Specific embodiment
First embodiment according to the present invention discloses a kind of two quality index that oil quality is determined based on promotion,
Method for quickly testing the quality of edible oil (for example, fried or culinary art).Described two quality index are monitored spy
Determine total polar compound (TPC) of edible oil and the content of triglyceride (PTG) of polymerization, respectively further becomes for other inputs
Measure the dependent variable of (for example, viscosity, dielectric constant, optical property etc.).
Importantly it is emphasized that method according to first embodiment is guided and based on nonlinear mathematical model
The exploitation of (especially linearly adding rectangle type, linear-plus-square type) provides two by using that can accumulate
Quality index (TPC and PTG)) the aforementioned input variable accurately predicted.In particular, passing through successive Regression (stepwise
Regression) technology develops mathematical model.The corresponding mathematical model of exploitation for TPC and PTG is also independent of one another,
In each mathematical model combine comprising 8 input variables, including brightness (" L* "), redness (" a* "), Lan Du (" b* "),
Absorbance (that is, spectral concentration) (" ab under 450nm450"), the absorbance (" ab at 490nm490"), it is viscous at about 40 DEG C
Spend (" vis "), dielectric constant (" DC ") and refractive index (" RI ") at about 80 DEG C.It notices it should be noted that using dividing
The variable of light photometer measurement brightness (" L* "), redness (" a* ") and Lan Du (" b* "), and it is expressed as " L*a*b* " colour system
System.On the other hand, using UV-Vis spectrophotometer, absorbance is measured in 400-700nm spectral region.In addition, refractive index and
Viscosity uses refractometer and viscosity meter respectively.It will be further understood that the temperature for measuring viscosity and dielectric constant
It can also implement at aforementioned other temperature other than those, it is therefore to be understood that the corresponding mathematical model used
It is different.In particular, determining the relationship between this eight input variables by calculating corresponding variable expansion factor (" VIF ").?
In this case, using the standard of " VIF < 10 ".In common least square regression analysis, VIF quantitative multiplex synteny
(multicollinearity) seriousness；VIT provides the change of the regression coefficient for measuring the estimation as caused by synteny
Amount increases how many indexs.
In exploitation mathematical model, using the commercially available test agent for being referred to as " Testo 265 " (designed for measurement TPC)
Box establishes the relationship between DC and TPC by correlation models, and in the case, which is developed as secondary model
(quadratic model).In particular, during the process of opening relationships, first use " Testo265 " test kit and
Another commercially available Laboratory Instruments " DEA 2970 " measures the TPC value and corresponding DC value of any edible oil sample respectively.Such as this
Known to field, " DEA 2970 " instrument is configured for the dielectric property of measurement material as time, temperature and frequency
Dependent variable.Using quadratic dependence model, then and then mathematical modeling is carried out, establish those Testo-265- measurement with analytical
TPC value and corresponding DC value between relationship.About remaining seven input variable, the experiment knot obtained by analysis method
Fruit is used to set up the relationship between TPC value and seven input variables, as explained in paragraph in front.
As previously mentioned, exploitation linearly adds rectangle type mathematical model, for predicting TPC and PTG quality index.With reference to TPC
Prediction, as the various relationships (as described in paragraph in front) established between TPC and respective input variable evaluation into
Row determines that the best-fit mathematics model for quantitative TPC quality index is at least two input variables comprising DC and viscosity
Model.As follows, it determines for predicting that the mathematical model of 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 "
The high R of value and " 0.93 "2Value is characterized.It is understood that term " R " is related coefficient, 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 are perfect positive correlations, but if the value is equal to " -1 ", on the contrary, its show first and second term it
Between there are perfect negative correlation, and " 0 " value indicates that linear dependence is not present 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 do not examine
Measure Problems of Multiple Synteny.That is, in statistics technics, it means that DC and viscosity input variable be not about each other
It is highly relevant.
On the other hand, for quantitative PTG quality index, the best-fit mathematics for being also not subjected to Problems of Multiple Synteny are determined
Model is similar with the input variable comprising DC and viscosity, as equation (1), and is represented as following equation (2):
PTG=-9.936+0.00608vis2-0.0385vis–0.00470DC2+0.376DC (2)
Equation (2) is with the high R of the RMSE value of " 1.50 " and " 0.92 "2Value is characterized, the corresponding property of this and equation (1)
Matter is comparable.In addition, the performance verification result of equation (1) and (2) is shown in the scatter plot 300,400 of Fig. 3 and Fig. 4 respectively.
Referring now to Figure 5, its flow chart 500 for describing method, can determine the quality of edible oil: first in step as follows
502, measure the corresponding DC and viscosity number of edible oil.Then, in step 504, by the DC of measurement and viscosity number input equation (1)
(2) in, to predict TPC the and PTG value of edible oil respectively.Then, in following step 506, by the TPC and PTG of prediction
Value is compared with corresponding scheduled threshold value, food security standard which is set based on national relevant health authoritative institution.
It is readily apparent that food security standard changes between different countries for professional technician.In last step
Rapid 508, based on comparing, determine the quality of edible oil.More particularly, if exceeding any scheduled threshold value, mean to eat
Oil no longer can be used safely and should be abandoned.Based on any threshold value is exceeded, alarm signal is generated, and rise corresponding to alarm
Signal visually indicates (such as red beacon lamp) to notify user.However if without departing from any scheduled threshold value,
Edible oil still can be used safely.If still believing that edible oil is available, in this case, also rises and visually indicate
(such as green beacon lamp)) to notify user.
Method based on first embodiment, from for quantitative TPC and PTG quality index aforementioned mathematical model (that is,
It is expressed as equation (1) and (2)) it is subsequently used in and develops new test kit, with the quality for quickly testing edible oil.With
The new test kit that the form of device 600 is implemented is shown in the schematic diagram of Fig. 6.In particular, the device 600 proposed includes
At least three probe 602a, 602b, 602c, input panel 603, display screen 604 and data processor 606 are used as IC route
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.In particular, at least three probe 602a, 602b, 602c are based on known operation original
Then/device (for example, being used for dielectric constant measurement based on capacitor, is examined based on vibration-decaying for viscosity measurement and resistance temperature
Survey device and be used for temperature detection) it is configured, for implementing relevant measurement.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, it is also necessary to further, it is emphasized that being used for
A probe 602a for measuring viscosity is portable V iSmartTMSensor (its is commercially available).It is understood that display screen
604 and the device 600 that is suitably encapsulated in proposition of data processor 606 shell 608 in, in favor of being easy place during operation
Reason.The then operation interface using the graphic user interface (GUI) developed as usual as the device 600 proposed.
In order to determine the quality of any edible oil, user's (not shown) of the device 600 of proposition is operated first edible
At least three probe 602a, 602b, 602c are inserted into oil, and waiting device 600 measures the DC of edible oil to be tested and glues
Degree.Then, once measuring DC and viscosity, data processor 606 calculate edible oil TPC and PTG predicted value, and with
The scheduled threshold value stored in device 600 compares.The food that scheduled threshold value is set according to national relevant health authoritative institution
Safety standard limits, it is therefore to be understood that the scheduled threshold value that stores in device 600 can be logical by user
Input panel 603 is crossed to be configured, the value depend on that user wishes to follow for determine edible oil for consumption safety
The food security standard of the specific country of property.If this relatively discloses TPC or PTG any one desired value beyond corresponding pre-
Fixed threshold value, then data processor 606 generates alarm signal, passes through the display screen 604 of the device 600 of proposition then with corresponding
Warning red light show and indicated.Warning red light, which is shown, notifies the quality of user's edible oil to be considered not being suitable for further
Using and need to abandon.In addition, TPC the and PTG predicted value being calculated also is shown on display screen 604 to user.Phase
Instead, if comparing the desired value for disclosing TPC or PTG without departing from scheduled threshold value, the generation of data processor 606 passes through 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
Still there is safety in food preparation.
In order to evaluate the accuracy for the result that the device 600 of proposition generates, using multiple groups experimental data and use by with
Machine commercial food products are established the oil samples collected and are tested, and device 600 is made to carry out some validation tests.The verifying of reference implementation is surveyed
Examination as a result, Fig. 7 and Fig. 8 column diagram 700,800 display propose device 600 realize fairly good performance as scheduled.Particularly
It is that the food that the device 600 of proposition is recommended especially suitable for TPC and/or PTG value close to or over food health authoritative institution is pacified
Those of full limit oil samples, wherein professional technician recognizes, these are the accuracys of any test kit for energy
Whether enough determinations should 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 refer to the similar part of related embodiment.
According to second embodiment, different mathematical models be used to predict PTG quality index, and be used to predict TPC
The mathematical model of quality index is kept such as described in first embodiment ((according to equation (1)).In the case,
Mathematical model for quantitative PTG is changed to two different input variables using refractive index and viscosity, opposite with DC and viscosity.
In particular, for predicting that the mathematical model of PTG quality index is expressed as quadratic polynomial equation (3):
PTG=-73.208+0.00692vis2-0.0413vis+33.317RI2+15.473RI (3)
It should be noted that equation (3) are with the high R of the low RMSE value of " 1.44 " and " 0.94 "2Value is characterized.In addition,
As described in first embodiment, the device 600 of proposition can be carried out then modifying accordingly and is expressed as with using
Formula (1) and the mathematical model of (3) are for quickly testing the quality of edible oil.
In short, the method proposed, which solves, to be carried out quickly testing the food for repeating to recycle with practical mode to facilitate
The problem of with oily quality, allow to be readily determined whether those edible oils should abandon.More particularly, pass through utilization
The certain input variables of rapid survey (for example, optics, rheology and dielectric property of oil), it is edible that the method for proposition provides prediction
The value of two important quality index (that is, TPC and PTG) of oil in conjunction with by mathematical model, therefore can determine edible oil
The chemical deterioration degree of experience, it is thus determined that edible oil whether be still adapted to using.Equally, the method for proposition can at the restaurant,
It is used under food export and fast food outlet device, wherein edible oil is repeatedly re-used, and is used for frying/cooking food, and lose
The decision for abandoning those edible oils is routinely based on subjective index (for example, oily color state, foaming situation) or based on passing through routine
The obtained result of test kit and be used, however, by previous research it was demonstrated that insufficient based on these and can not
It leans on.It should also be emphasized that the method proposed is also first of accurate predicted value for capable of providing both TPC and PTG jointly
One of method for rapidly testing.
In addition, it is also to be recognized that the method proposed is exploited for the edible oil that test has been subjected to deep-fried operation.In depth
During degree is fried, certain chemical changes occur due to heating, and new compound is generated in edible oil, therefore design mentions
There are those new compounds to test in edible oil in method out, with their available quality of determination.For example, if edible
Oil is only used for that stirring 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 proposed
Processor 606 can be realized perhaps in the form of the microcomputer 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 model (including nonlinear model, linear model,
Complete quadratic modes etc.) for predicting TPC and PTG quality index, as professional technician understands.It is also to be recognized that in addition to DC
Other than two input variables of viscosity, for predicting that other suitable mathematical models of TPC and PTG quality index also may include
Other input variables, for example, brightness (" L* "), redness (" a* "), Lan Du (" b* "), absorbance and refractive index (" RI ").Ginseng
The TPC/PTG value of prediction is examined compared with corresponding scheduled threshold value, when beyond/without departing from threshold value when, be changed to the dress in proposition
It sets and shows alarm red light/green light on 600 display screen 604, the index that can be taken other form, for example, using that can hear
The displays such as signal suitable information accordingly, as professional technician understands.In addition, the device 600 proposed can also quilt
The data relevant to multiple sample tests (that is, historical data storage) for having been carried out that are configured to local storage, and
The data of storage can be easy to be downloaded to outer computer, carry out for the connector by providing on the device 600 of proposition
Analysis.In addition, the data stored can also be shown in the form of simple figure on the display screen 604 of the device 600 of proposition
To user, when the quality for testing edible oil, convenient for reference immediately.
About the device 600 of proposition, there are at least three probe 602a, 602b, 602c instead of configuration, can be adapted for
It works at least two probes, wherein using the DC probe of temperature is also capable of measuring (that is, DC probe while measuring DC and temperature
Both degree) as one of two probes.In fact, propose DC probe 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 probe of proposition by
A type of special metal is formed, and is normally used in resistance temperature detector (RTD) (but being adopted for temperature measurement
The design and geometry of DC probe for proposition can be different, but possible variation is that professional technician can be with
Understand).Equally, in the case, the DC probe of proposition replaces " Testo 265 " test kit, before the kit
It is described as in first embodiment for establishing the relationship between DC and TPC by correlation models；That is, DC value makes
It is directly measured with the DC probe of proposition, it is no longer necessary to establish the relationship between DC and TPC.
In addition, the device 600 proposed may not be configured with the relevant probe for measuring DC value；But it is based on
The output of the measurement of " Testo 265 " test kit uses " Testo 265 " test kit by using transformation model
Measurement DC value indirectly.
Further, after the relevant DC and viscosity for measuring edible oil to be tested, the device 600 of proposition can be with
Designation date processor 606 is configured for the predicted value of the TPC of parallel computation edible oil and PTG.That is, making simultaneously
With aforementioned relevant mathematical model, the predicted value of parallel computation TPC and PTG.However, it will also be appreciated that no matter TPC and PTG
Predicted value be it is parallel or sequence calculate for proposition device 600 it is appropriate operation be not crucial, as long as in advance
The calculating for surveying TPC and PTG value is sufficiently rapidly implemented in reasonable acceptable time frame, this dress that will allow to propose
It sets 600 and is 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, it is fitted the other suitable of equation (1)-(3) coefficient of described mathematical form
Combination be also possible.
Although the present invention has been illustrated and described in detail in attached drawing and foregoing description, such illustrate and describe is considered
It is illustrative or exemplary, but is not limiting；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 with other variations to disclosed embodiment are realized.
Claims (27)
1. a kind of method of the quality of determining edible oil, this method comprises:
Determine that the multiple parameters of edible oil, the multiple parameter include dielectric constant and viscosity；
Use the multiple parameter as the input variable of mathematical model, for predicting total polar compound of edible oil respectively
(TPC) and the value of both the content of triglyceride (PTG) of polymerization；
TPC the and PTG value of prediction is compared with corresponding scheduled threshold value；With
Based on comparing, the quality of edible oil is determined.
2. according to the method described in claim 1, wherein, the mathematical model includes nonlinear mathematical model.
3. according to the method described in claim 2, wherein, for predicting that the nonlinear mathematical model of TPC value 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. according to the method described in claim 3, wherein, the equation is with 2.01 root-mean-square-deviation (RMSE) value and 0.93
R2Value is characterized, wherein R is related coefficient.
5. according to the method described in claim 2, wherein, for predicting that the nonlinear mathematical model of PTG value 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. according to the method described in claim 5, wherein, the equation is with 1.50 root-mean-square-deviation (RMSE) value and 0.92
R2Value is characterized, wherein R is related coefficient.
7. according to the method described in claim 2, wherein it is determined that dielectric constant includes normal in 80 DEG C of at a temperature of measurement dielectric
Number.
8. according to the method described in claim 2, wherein it is determined that viscosity include 40 DEG C at a temperature of measure viscosity.
9. according to the method described in claim 1, wherein, the multiple parameter further includes brightness, redness, Lan Du, absorbance
And refractive index.
10. according to the method described in claim 9, wherein it is determined that absorbance includes measuring under the wavelength of 450nm or 490nm
Absorbance.
11. according to the method described in claim 1, wherein, the multiple parameter is used to use as the input variable of mathematical model
In the value that the value of both prediction TPC and PTG further includes parallel computation TPC and PTG.
12. according to the method described in claim 1, wherein, if the method also includes the TPC values predicted or PTG value to exceed
Corresponding scheduled threshold value, generates alarm signal.
13. according to the method for claim 12, wherein the method also includes providing corresponding to the alarm signal generated
It visually indicates.
14. according to the method described in claim 2, wherein, for predicting that the nonlinear mathematical model of PTG value 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. according to the method for claim 14, wherein the equation is with 1.44 root-mean-square-deviation (RMSE) value and 0.94
R2Value is characterized, wherein R is related coefficient.
16. a kind of for determining the device of the quality of edible oil, which contains:
Suitable for determining multiple probes of the multiple parameters of edible oil, the multiple parameter includes dielectric constant and viscosity；With
Data processor, it is suitable for:
Use the multiple parameter as the input variable of mathematical model, for predicting total polar compound of edible oil respectively
(TPC) and the value of both the content of triglyceride (PTG) of polymerization；
TPC the and PTG value of prediction is compared with corresponding scheduled threshold value；With
Based on comparing, the quality of edible oil is determined.
17. device according to claim 16, wherein if the data processor apply also for prediction TPC value or
PTG value exceeds corresponding scheduled threshold value, generates alarm signal.
18. device according to claim 17, wherein described device also contains:
For providing the display screen visually indicated for corresponding to the alarm signal generated.
19. device according to claim 16, wherein the mathematical model includes nonlinear mathematical model.
20. device according to claim 19, wherein described non-thread for predict that the data processor of TPC value uses
Property mathematical model 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. device according to claim 19, wherein described non-thread for predict that the data processor of PTG value uses
Property mathematical model 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. device according to claim 19, wherein described non-thread for predict that the data processor of PTG value uses
Property mathematical model 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. device according to claim 19, wherein one in the multiple probe is configured for the temperature at 80 DEG C
Spend lower Measuring Dielectric Constant.
24. device according to claim 19, wherein one in the multiple probe is configured for the temperature at 40 DEG C
Degree is lower to measure viscosity.
25. device according to claim 16, wherein the multiple probe includes probe as at least two.
26. device according to claim 25, wherein one in probe as described at least two is configured for
Measuring Dielectric Constant and temperature.
27. device according to claim 16, wherein described device also contains input panel, predetermined for resetting
Threshold value value.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| 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 true CN106662561B (en) | 2019-06-11 |
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| CN (1) | CN106662561B (en) |
| SG (1) | SG11201607651WA (en) |
| WO (1) | WO2015142283A1 (en) |
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| US9861233B2 (en) | 2014-06-30 | 2018-01-09 | Pitco Frialator, Inc. | 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 |
| CN107367468B (en) * | 2017-08-03 | 2019-08-13 | 北京师范大学 | Dissociate in a kind of edible oil fatty acid determination method |
| AU2019301514A1 (en) | 2018-07-09 | 2021-01-28 | Cargill, Incorporated | Spectroscopic evaluation of edible oil using profiles |
| BR112021012331A2 (en) * | 2018-12-27 | 2021-08-31 | Cargill, Incorporated | METHODS TO MONITOR AN EDIBLE OIL CHARACTERISTICS USING AN OPTICAL TECHNIQUE TO MANAGE OIL QUALITY IN FRYING OPERATIONS, TO PREDICT AN EDIBLE OIL CHARACTERISTICS TO MANAGE OIL QUALITY IN FRYING OPERATIONS, AND TO MONITOR A CHARACTERISTICS TO MANAGE THE USE OF EDIBLE OIL IN FRYING OPERATIONS, AND, SYSTEM |
| WO2020212841A1 (en) * | 2019-04-16 | 2020-10-22 | 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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| CN106662561A (en) | 2017-05-10 |
| SG11201607651WA (en) | 2016-10-28 |
| WO2015142283A1 (en) | 2015-09-24 |
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