CN109856061A - The detection method and system of synthetic dyestuff concentration in soda - Google Patents
The detection method and system of synthetic dyestuff concentration in soda Download PDFInfo
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Abstract
The embodiment of the invention provides the detection methods and system of synthetic dyestuff concentration in a kind of soda, the method obtains RGB image of the soda to be detected under the conditions of different acid-base property first, and construct soda to be detected-spectrum two-dimensional matrix, then by soda to be detected-spectrum two-dimensional Input matrix into default Quantitative Analysis Model, the first kind concentration matrix of default synthetic dyestuff in soda to be detected is exported by presetting Quantitative Analysis Model.Wherein, it presets Quantitative Analysis Model to construct based on Partial Least Squares, for characterizing the corresponding relationship between the concentration matrix for presetting synthetic dyestuff in soda-spectrum two-dimensional matrix and soda.The detection method detection of synthetic dyestuff concentration is quick, accurate, easily operated in the soda provided in the embodiment of the present invention, can reduce detection time.And it is not necessarily to large-scale experiment instrument, it can be realized and be detected by the portable device of such as cell-phone camera system, reduce cost of determination.
Description
Technical field
The present embodiments relate to pigment content detection technique fields in mixed system, more particularly, to soda
The detection method and system of middle synthetic dyestuff concentration.
Background technique
Currently, synthetic dyestuff is that most popular edible pigment, raw material are mainly derived from coal tar in food at present,
Mostly containing azo group (R-N=N-R), phenyl ring or miscellaneous anthracene structure.Because it has lovely luster, property stabilization, easy coloring, at low cost
The features such as honest and clean, food processor can add synthetic dyestuff into food such as beverage, cakes, food made to seem more delicious.Manually
Synthetic dyestuff can be divided into azo, non-azo according to its structure, and azo synthetic dyestuff is in soda, fruit drink, sugar
It is widely used in the food such as fruit.Azo pigment, which refers to, at least contains an azo group (R-N=N-R) in pigment molecular structure
The pigment of structure.The azo base class pigment added in soft drink mainly has lemon yellow, sunset yellow, amaranth and famille rose etc..
Long-term intake and excessive edible synthesized coloring matter all may interfere with human homergy, and there are carcinogenic risks, it is therefore desirable to right
The kind and dosage of synthetic dyestuff make strict regulations.But the safety problem in relation to azo base class synthetic dyestuff emerges one after another,
It argues also long-standing.
There is the influence of researcher's mice study lemon yellow and acid red to animal biochemical indicator, by collecting serum
And tissue sample, the biochemical indicator of discovery mouse vitals (liver, kidney) are abnormal in dosage range.Separately there is research people
The toxic effect that member demonstrates azo pigment keeps hepatic cell growth abnormal.The detection method of currently used synthetic dyestuff concentration
Have traditional liquid chromatography, spectrophotometry and electrochemical method etc., some researchers by high performance liquid chromatography with
Diode array detector detects the concentration of a variety of synthetic dyestuffs in solid food and beverage simultaneously.There are also researcher's combination is more
First curve resolution-alternating least-squares combination spectrophotometry directly determines amaranth in sample, sunset yellow and lemon yellow
Concentration.Separately there are some researchers to have detected the Soviet Union in food using Surface enhanced Raman scattering combination chemometrics method
Red red I concentration.There are also liquid chromatogram combination photodiode array detection, electrochemical sensor etc. detects the side of pigment concentration
Method.
But time-consuming for chromatography, detecting step is complicated, higher cost.And spectrophotometry, detection limit are lower, so that
The accuracy of testing result reduces.
Summary of the invention
In order to overcome the problems referred above or it at least is partially solved the above problem, the embodiment of the invention provides a kind of carbonic acid drinks
The detection method and system of synthetic dyestuff concentration in material.
In a first aspect, the embodiment of the invention provides a kind of detection methods of synthetic dyestuff concentration in soda, comprising:
RGB image of the soda to be detected under the conditions of different acid-base property is obtained, and constructs soda-light to be detected
Compose two-dimensional matrix;
By the soda to be detected-spectrum two-dimensional Input matrix into default Quantitative Analysis Model, by described default
Quantitative Analysis Model exports the first kind concentration matrix that synthetic dyestuff is preset in the soda to be detected;
Wherein, the default Quantitative Analysis Model is constructed based on Partial Least Squares, for characterizing soda-spectrum two
Tie up the corresponding relationship in matrix and soda between the concentration matrix of the default synthetic dyestuff.
Second aspect, the embodiment of the invention provides a kind of detection systems of synthetic dyestuff concentration in soda, comprising:
RGB image obtains module and concentration detection module.Wherein,
RGB image obtains module for obtaining RGB image of the soda to be detected under the conditions of different acid-base property, and structure
Build soda to be detected-spectrum two-dimensional matrix;
Concentration detection module is used for the soda to be detected-spectrum two-dimensional Input matrix to default quantitative analysis mould
In type, the first kind concentration square that synthetic dyestuff is preset in the soda to be detected is exported by the default Quantitative Analysis Model
Battle array;
Wherein, the default Quantitative Analysis Model is constructed based on Partial Least Squares, for characterizing soda-spectrum two
Tie up the corresponding relationship in matrix and soda between the concentration matrix of the default synthetic dyestuff.
The third aspect, the embodiment of the invention provides a kind of electronic equipment, comprising:
At least one processor, at least one processor, communication interface and bus;Wherein,
The processor, memory, communication interface complete mutual communication by the bus;
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program to refer to
It enables, the detection method of synthetic dyestuff concentration in the soda to execute first aspect offer.
Fourth aspect, the embodiment of the invention provides a kind of non-transient computer readable storage medium, the non-transient meter
Calculation machine readable storage medium storing program for executing stores computer instruction, and the computer instruction makes the computer execute the carbon that first aspect provides
The detection method of synthetic dyestuff concentration in acid beverage.
The detection method and system of synthetic dyestuff concentration, the method in a kind of soda provided in an embodiment of the present invention
RGB image of the soda to be detected under the conditions of different acid-base property is obtained first, and constructs soda-spectrum two to be detected
Matrix is tieed up, then by soda to be detected-spectrum two-dimensional Input matrix into default Quantitative Analysis Model, by default quantitative point
Analysis model exports the first kind concentration matrix that synthetic dyestuff is preset in soda to be detected.Compared to currently used synthetic dyestuff
The detection method of concentration, in the soda provided in the embodiment of the present invention the detection method detection of synthetic dyestuff concentration quickly,
Accurately, easily operated, detection time can be reduced.And it is not necessarily to large-scale experiment instrument, such as cell-phone camera system can be passed through
Portable device realize detection, reduce cost of determination.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the process signal of the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Figure;
Fig. 2 is to preset quantitatively in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
The flow diagram of the construction method of analysis model;
Fig. 3 is to preset quantitatively in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
The flow diagram of default Quantitative Analysis Model is constructed in the construction method of analysis model by Partial Least Squares;
Fig. 4 (a) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
In apple taste soda lemon yellow pigment construct validation-cross in default Quantitative Analysis Model (Cross Validation,
CV result schematic diagram);
Fig. 4 (b) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Lemon yellow pigment constructs the result schematic diagram corrected in default Quantitative Analysis Model in apple taste soda;
Fig. 4 (c) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Lemon yellow pigment constructs the result schematic diagram verified in default Quantitative Analysis Model in apple taste soda;
Fig. 5 (a) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Brilliant blue pigment constructs the result schematic diagram of CV in default Quantitative Analysis Model in apple taste soda;
Fig. 5 (b) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Brilliant blue pigment constructs the result schematic diagram corrected in default Quantitative Analysis Model in apple taste soda;
Fig. 5 (c) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Brilliant blue pigment constructs the result schematic diagram verified in default Quantitative Analysis Model in apple taste soda;
Fig. 6 (a) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Lemon yellow pigment constructs the result schematic diagram of CV in default Quantitative Analysis Model in orange taste soda;
Fig. 6 (b) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Lemon yellow pigment constructs the result schematic diagram corrected in default Quantitative Analysis Model in orange taste soda;
Fig. 6 (c) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Lemon yellow pigment constructs the result schematic diagram verified in default Quantitative Analysis Model in orange taste soda;
Fig. 7 (a) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Sunset yellow constructs the result schematic diagram of CV in default Quantitative Analysis Model in orange taste soda;
Fig. 7 (b) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Sunset yellow constructs the result schematic diagram corrected in default Quantitative Analysis Model in orange taste soda;
Fig. 7 (c) is to use in the detection method of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Sunset yellow constructs the result schematic diagram verified in default Quantitative Analysis Model in orange taste soda;
Fig. 8 is the structural representation of the detection system of synthetic dyestuff concentration in a kind of soda provided in an embodiment of the present invention
Figure;
Fig. 9 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
In the description of the embodiment of the present invention, it should be noted that term " center ", "upper", "lower", "left", "right",
The orientation or positional relationship of the instructions such as "vertical", "horizontal", "inner", "outside" is to be based on the orientation or positional relationship shown in the drawings,
It is merely for convenience of the description embodiment of the present invention and simplifies description, rather than the device or element of indication or suggestion meaning must have
There is specific orientation, be constructed and operated in a specific orientation, therefore should not be understood as the limitation to the embodiment of the present invention.In addition,
Term " first ", " second ", " third " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance.
As shown in Figure 1, the embodiment of the invention provides a kind of detection method of synthetic dyestuff concentration in soda, packet
It includes:
S11 obtains RGB image of the soda to be detected under the conditions of different acid-base property, and constructs carbonic acid drink to be detected
Material-spectrum two-dimensional matrix;
S12, by the soda to be detected-spectrum two-dimensional Input matrix into default Quantitative Analysis Model, by described
Default Quantitative Analysis Model exports the first kind concentration matrix that synthetic dyestuff is preset in the soda to be detected;
Wherein, the default Quantitative Analysis Model is constructed based on Partial Least Squares, for characterizing soda-spectrum two
Tie up the corresponding relationship in matrix and soda between the concentration matrix of the default synthetic dyestuff.
Specifically, the detection method of synthetic dyestuff concentration, is mainly used in the soda provided in the embodiment of the present invention
The concentration of various synthetic dyestuffs in detection soda, the default Quantitative Analysis Model of use is for detecting in soda
A kind of concentration of specific synthetic dyestuff, i.e., the concentration of default synthetic dyestuff.Quantitative Analysis Model is preset at this time for characterizing carbon
The corresponding relationship between the concentration matrix of synthetic dyestuff is preset in acid beverage-spectrum two-dimensional matrix and soda.Carbon determination to be checked
Acid beverage is target soda, needs to detect the soda of the wherein concentration of synthetic dyestuff.The wherein embodiment of the present invention
In described soda to be detected can be the sodas of various tastes, can be fruit taste soda, such as can
To be apple taste soda, it is also possible to orange taste soda, can also be blueberry taste soda etc., this hair
This is not especially limited in bright embodiment, only using soda to be detected as apple taste soda and orange taste carbonic acid
It is illustrated for beverage.Synthetic dyestuff in soda to be detected can specifically include: lemon yellow pigment, sunset yellow
With one of brilliant blue pigment or a variety of, such as contain lemon yellow pigment and brilliant blue pigment, orange in apple taste soda
Contain lemon yellow pigment and sunset yellow in taste soda.Correspondingly, default synthetic dyestuff is specifically as follows lemon yellow
Pigment, sunset yellow or brilliant blue pigment.That is, default Quantitative Analysis Model can be used for characterizing soda-spectrum
Corresponding relationship in two-dimensional matrix and soda between the concentration matrix of lemon yellow pigment, or can be used for characterizing carbonic acid drink
Corresponding relationship in material-spectrum two-dimensional matrix and soda between the concentration matrix of sunset yellow, or can be used for table
Levy the corresponding relationship in soda-spectrum two-dimensional matrix and soda between the concentration matrix of brilliant blue pigment.
RGB image of the soda to be detected under the conditions of different acid-base property is obtained in the embodiment of the present invention first.It is different
Acid-base property condition can be realized by the way that the alkaline solution of different volumes is added in soda to be detected, such as can be taken to be checked
Carbon determination acid beverage several pieces, are separately added into the alkaline solution of same concentrations, different volumes.It can specifically be taken in the embodiment of the present invention
6 parts of soda to be detected, be separately added into concentration be NaOH solution 0mL, 0.1mL of 10mol/L, 0.2mL, 0.3mL, 0.4mL,
0.5mL can be observed that different degrees of color change occurs in soda to be detected.This is because may in synthetic dyestuff
Containing chromophories such as azo groups, the chromophories such as azo group can absorb the visible light of certain wavelength, and matter occurs under the conditions of acid-base property
The tautomerisms such as sonization, and then color change occurs.For example, lemon yellow pigment is in golden yellow in neutral or acid solution, it is right
Acid is stablized, and meets alkali and reddens color;Sunset yellow is in yellowish orange in neutral or acid solution, is stablized in citric acid, tartaric acid,
It meets alkali and becomes bronzing.And no azo based structures in brilliant blue pigment, belong to non-azo pigment, is not sent out after alkaline solution is added
Raw obvious color change.Therefore the volume for the alkaline solution that can be added by change makes to preset conjunction in soda to be detected
Different degrees of color change occurs at azo group and the alkaline solution effect of pigment.
Smart phone camera system or other available visible images can specifically be passed through in the embodiment of the present invention
Equipment obtain RGB image of the soda to be detected under the conditions of different acid-base property.
After obtaining RGB image of the soda to be detected under the conditions of different acid-base property, soda-light to be detected is constructed
Spectrum two-dimensional matrix is only used for wherein each element can be expressed as 1 in soda dimension to be detected to soda to be detected
It is identified, can also be replaced using other values, this is not especially limited in the embodiment of the present invention;Every unitary in spectral Dimensions
Element is specially the product of pH value and spectrum, and the value of pH value can be indicated by pH value;Spectrum can pass through different wave length
It indicates.By soda to be detected-spectrum two-dimensional Input matrix into default Quantitative Analysis Model, by presetting Quantitative Analysis Model
Export the first kind concentration matrix that synthetic dyestuff is preset in soda to be detected.Using default quantitative point in the embodiment of the present invention
Analysis model directly detects to preset synthesis in soda to be detected according to soda to be detected-spectrum two-dimensional matrix of input
The first kind concentration matrix of pigment.Wherein, default Quantitative Analysis Model is based on Partial Least Squares (Partial least
Squares regression, PLS) building, i.e., it is determined by PLS pre- in soda-spectrum two-dimensional matrix and soda
If the corresponding relationship between the concentration matrix of synthetic dyestuff.
It should be noted that " first kind " in first kind concentration matrix described herein is only used for drinking with subsequent carbonic acid
" the second class " for the second class concentration matrix for presetting synthetic dyestuff in material sample distinguishes.First kind concentration matrix can be 1
× 1 matrix presets the concentration of synthetic dyestuff in the element representation soda to be detected in first kind concentration matrix.
The detection method of synthetic dyestuff concentration in the soda provided in the embodiment of the present invention, obtains carbon determination to be checked first
RGB image of acid beverage under the conditions of different acid-base property constructs soda to be detected-spectrum two-dimensional matrix;It then will be to be checked
Carbon determination acid beverage-spectrum two-dimensional Input matrix is to be detected by default Quantitative Analysis Model output into default Quantitative Analysis Model
The first kind concentration matrix of synthetic dyestuff is preset in soda.Compared to the detection method of currently used synthetic dyestuff concentration,
The detection method of synthetic dyestuff concentration detects quick, accurate, easily operated, energy in the soda provided in the embodiment of the present invention
Enough reduce detection time.And it is not necessarily to large-scale experiment instrument, it can be realized by the portable device of such as cell-phone camera system
Detection, reduces cost of determination.
On the basis of the above embodiments, the detection of synthetic dyestuff concentration in the soda provided in the embodiment of the present invention
Method, before obtaining RGB image of the soda to be detected in different acid-base property under the conditions of further include: drink carbonic acid to be detected
Material is placed in beaker, is then heated ultrasound 20-25 minutes, to drive away the carbon dioxide dissolved in soda to be detected, is prevented
The carbon dioxide only dissolved adversely affects the Concentration Testing result of synthetic dyestuff.
As shown in Fig. 2, on the basis of the above embodiments, synthetic dyestuff in the soda provided in the embodiment of the present invention
The construction method of the detection method of concentration, the default Quantitative Analysis Model includes:
S21, for each soda sample sets in sample sets, the different carbonic acid into each soda sample sets
It is separately added into the alkaline solution of different volumes in drink sample, obtains every part of soda sample in each soda sample sets
RGB image, and construct the default synthetic dyestuff in soda sample-spectrum two-dimensional matrix and soda sample
Second class concentration matrix;It wherein, include: multiple carbonic acid of the default synthetic dyestuff with various concentration in the sample sets
Drink sample group, includes more parts of soda samples in each soda sample sets, different in each soda sample sets
Soda sample in the default synthetic dyestuff concentration be equal;
S22 determines the soda sample-spectrum two-dimensional matrix and the second class concentration by Partial Least Squares
Corresponding relationship between matrix constructs the default Quantitative Analysis Model.
Specifically, a kind of construction method of default Quantitative Analysis Model is provided in the embodiment of the present invention, is specifically first obtained
Sample sets may include: multiple soda sample sets of the default synthetic dyestuff with various concentration, each carbon in sample sets
It include more parts of soda samples in acid beverage sample sets, in each soda sample sets in different soda samples
The default synthetic dyestuff concentration is equal and known.That is, soda different in each soda sample sets
Default synthetic dyestuff concentration in sample is equal and is known, in different soda sample sets soda sample
Interior default synthetic dyestuff concentration is unequal.Soda sample in each soda sample sets can be various mouths
The soda of taste can be fruit taste soda, such as can be apple taste soda, be also possible to orange mouthful
Taste soda can also be blueberry taste soda etc., be not especially limited in the embodiment of the present invention to this, only with carbonic acid
Drink sample is to be illustrated for apple taste soda and orange taste soda, with soda phase to be detected
It is corresponding.
Since synthetic dyestuff concentration difference is little in commercially available soda, city can be first obtained in the embodiment of the present invention
Soda is sold as initial sample, then by the default synthetic dyestuff of various concentration being added into initial sample to obtain sample
Product collection.Both the corresponding sample sets of default synthetic dyestuff can be separately configured in the embodiment of the present invention, default synthesis can also be configured
The sample sets that pigment is mixed with other synthetic dyestuffs, herein only to configure the sample that default synthetic dyestuff is mixed with other synthetic dyestuffs
It is illustrated for product collection, so that the default Quantitative Analysis Model for obtaining building considers the influence of other synthetic dyestuffs.Initially
The concentration that synthetic dyestuff is preset in sample can be determined by the method for chromatography, can specifically be gathered by high performance liquid chromatography-
Amide absorption method determines.Through detection it is found that containing lemon yellow pigment 0.01136g/kg in commercially available orange taste soda,
Sunset yellow 0.01187g/kg;Contain lemon yellow pigment 0.005180g/kg, brilliant blue in commercially available apple taste soda
Pigment 0.005011g/kg.According to regulation in " state food safety standard food additives use standard " (GB2760-2014)
Lemon yellow pigment maximum usage amount in beverage based food is 0.1g/kg, sunset yellow maximum usage amount in soda
For 0.1g/kg, brilliant blue pigment maximum usage amount in soda is 0.025g/kg.Secondary colour is preset in surveyed initial sample
Cellulose content is within the scope of national standard.
For example, can first obtain the initial sample of certain volume in the embodiment of the present invention, average initial sample is divided into 25
Part, every portion initial sample constitutes a soda sample sets, every a initial sample is further partitioned into 6 parts, every part is
A soda sample includes 6 parts of soda samples in an i.e. soda sample sets;Then concentration, which is respectively configured, is
The default synthetic dyestuff and other synthetic dyestuffs of 0.01g/L, 0.05g/L, 0.1g/L, 0.3g/L, 0.5g/L;By each carbonic acid
The default synthetic dyestuff and other synthetic dyestuffs of various concentration are added in every part of soda sample in drink sample group,
And it is put into centrifuge tube and is uniformly mixed.
The concentration of wherein synthetic dyestuff when 1 soda sample of table is orange taste soda
The concentration of wherein synthetic dyestuff when 2 soda sample of table is apple taste soda
Synthetic dyestuff is preset in each soda sample sets and the concentration of other synthetic dyestuffs can be such as Tables 1 and 2
Shown, wherein table 1 indicates the concentration of wherein synthetic dyestuff when soda sample is orange taste soda, pre- in table 1
If synthetic dyestuff is also possible to sunset yellow either lemon yellow pigment.When default synthetic dyestuff is lemon yellow pigment,
5 soda sample sets can be respectively by number be 1-30,31-60,61-90,91-120,121-150 soda
What sample was constituted;When default synthetic dyestuff is sunset yellow, one of soda sample sets can be is by numbering
What 1-6,31-36,61-66,91-96,121-126 were constituted, remaining soda sample sets and so on.Table 2 indicates carbonic acid
The concentration of wherein synthetic dyestuff when drink sample is grape taste soda, the default synthetic dyestuff in table 2 is either lemon
Lemon uranidin is also possible to brilliant blue pigment.When default synthetic dyestuff is lemon yellow pigment, 5 soda sample sets can be with
It is by numbering respectively is that the soda sample of 1-30,31-60,61-90,91-120,121-150 is constituted;When default synthesis
When pigment is brilliant blue pigment, one of soda sample sets can be by number be 1-6,31-36,61-66,91-96,
What 121-126 was constituted, remaining soda sample sets and so on.
After obtaining sample sets, for each soda sample sets in sample sets, to each soda sample sets
It is separately added into the alkaline solution of different volumes in middle different soda sample, and is obtained every in each soda sample sets
The RGB image of part soda sample.The alkaline solution of different volumes can be concentration specifically as 10mol/L, volume
The NaOH solution of 0mL, 0.1mL, 0.2mL, 0.3mL, 0.4mL and 0.5mL.For example, being orange taste for soda sample
The case where soda, is put into the NaOH that concentration is 10mol/L, volume is 0mL in the soda sample that can be 1 to number
Solution is put into the NaOH solution that concentration is 10mol/L, volume is 0.1mL in the soda sample that can be 2 to number, can
Be 3 to number soda sample in be put into NaOH solution of the concentration for 10mol/L, volume for 0.2mL, can be to number
To be put into the NaOH solution that concentration is 10mol/L, volume is 0.3mL in 4 soda sample, the carbon that can be 5 to number
The NaOH solution that concentration is 10mol/L, volume is 0.4mL is put into acid beverage sample, the soda sample that can be 6 to number
The NaOH solution that concentration is 10mol/L, volume is 0.5mL is put into product, and so on, kind adding manner that but it is not limited to this.
The RGB image for obtaining every part of soda sample in each soda sample sets can specifically pass through smart phone
The equipment of camera system or other available visible images is realized.
It obtains in each soda sample sets after the RGB image of every part of soda sample, constructs soda sample-
Second class concentration matrix of the default synthetic dyestuff in spectrum two-dimensional matrix and soda sample.
Finally, determining that the soda sample-spectrum two-dimensional matrix and second class are dense by Partial Least Squares
The corresponding relationship between matrix is spent, default Quantitative Analysis Model is constructed.
It is real by the way of configuring synthetic dyestuff and being mixed with initial sample when obtaining sample sets in the embodiment of the present invention
It is existing, the soda of purchase different brands is avoided, it can greatly save the cost.And sample sets are obtained in the embodiment of the present invention
In sample size it is numerous, can make building default Quantitative Analysis Model it is more stable.
On the basis of the above embodiments, the construction method of the default Quantitative Analysis Model provided in the embodiment of the present invention
In, initial sample can be placed in beaker after obtaining initial sample, then be heated ultrasound 20-25 minutes, to drive away just
Then the carbon dioxide dissolved in beginning sample is mixed with the synthetic dyestuff of configuration again, prevent the carbon dioxide of dissolution to pre-
The detection accuracy of set amount analysis model adversely affects, and then the Concentration Testing result of guarantee synthetic dyestuff is accurate
Property.
On the basis of the above embodiments, the detection of synthetic dyestuff concentration in the soda provided in the embodiment of the present invention
Method, the construction method of the default Quantitative Analysis Model further include:
By all soda sample components in sample sets at K parts, cross validation method is rolled over using K-, to described default
Quantitative Analysis Model is constructed;
It wherein, include: multiple soda samples of the default synthetic dyestuff with various concentration in the sample sets
Product group, includes more parts of soda samples in each soda sample sets, different carbonic acid in each soda sample sets
The default synthetic dyestuff concentration in drink sample is equal.
Specifically, in the embodiment of the present invention by all soda sample components in sample sets at K parts, K- can be used
Cross validation method is rolled over, the default Quantitative Analysis Model is constructed, specifically by N number of soda sample in sample sets
Product group divides based on being divided into K parts, wherein the capacity of every portion is N/K, the several pieces in K parts as training set to
Initial construction presets Quantitative Analysis Model, and the remaining soda sample sets in K parts are used to as test set to initial construction
Default Quantitative Analysis Model be corrected and verify, carry out extensive error in conjunction with the obtained K result of K- folding cross validation
Estimation.Wherein, N is specifically as follows 25 in above-described embodiment, or other numerical value are not made this in the embodiment of the present invention
It is specific to limit.
Cross validation method can be rolled over using K- in the embodiment of the present invention, structure is carried out to the default Quantitative Analysis Model
It builds.N number of soda sample sets in sample sets D are divided into the roughly the same subset of K size in equal size, are denoted as Dk (v)(k=
1 ..., K).Enable Dk (t)Expression removes D from sample sets Dk (v)In obtained k-th of the training set of element, then, be based on training set
Dk (t)Building, test set Dk (v)The average value for the K result that correction and verifying obtain are as follows:
Wherein, I1 (t)、I2 (t)、…、I5 (t)It is divided for the K basis corresponding to sample sets D, nv≈N/K.As K=N, K-
Folding cross validation is to stay a cross validation.
Such as specifically cross validation method can be rolled over using 5- in the embodiment of the present invention, to the default Quantitative Analysis Model
It is constructed, i.e. K=5.
As shown in figure 3, on the basis of the above embodiments, synthetic dyestuff in the soda provided in the embodiment of the present invention
The detection method of concentration, S22 are specifically included:
S221 decomposes the soda sample-spectrum two-dimensional matrix and the second class concentration matrix, by institute
It states soda sample-spectrum two-dimensional matrix and the second class concentration matrix is all made of corresponding score matrix and loading matrix
It is indicated;
S222, by the soda sample-corresponding score matrix of spectrum two-dimensional matrix and the second class concentration square
The corresponding score matrix of battle array carries out linear regression, determines the soda sample-corresponding score matrix of spectrum two-dimensional matrix
Default corresponding relationship between score matrix corresponding with the second class concentration matrix;
S223 is based on the default corresponding relationship, the soda sample-corresponding loading matrix of spectrum two-dimensional matrix
And the corresponding loading matrix of the second class concentration matrix, construct the default Quantitative Analysis Model.
Specifically, it in the soda provided in the embodiment of the present invention in the detection method of synthetic dyestuff concentration, is constructing
Firstly the need of determining in sample sets in each soda sample sets every part of soda sample when default Quantitative Analysis Model
RGB image, and construct the second class that synthetic dyestuff is preset in soda sample-spectrum two-dimensional matrix and soda sample
Concentration matrix.Wherein, soda sample-spectrum two-dimensional matrix can be expressed as X (I × J), and I is soda sample dimension,
J is spectral Dimensions.Wherein, the specific value of each element can be used to indicate that a kind of soda sample, different carbonic acid in I
The specific value of drink sample is different, is distinguished with being identified;The specific value of each element can be equal to pH value and spectrum in J
The value of product, pH value can indicate that spectrum can be indicated by different wave length using different pH value.X (I × J) can be with
It is interpreted as the matrix that the channel signal of RGB image is constituted, RGB image of each sample under different pH values corresponds to different light
Spectrum.Second class concentration matrix may also indicate that as Y (I × J).
Then, soda sample-spectrum two-dimensional matrix X and the second class concentration matrix Y are decomposed respectively, by carbonic acid
Drink sample-spectrum two-dimensional matrix X and the second class concentration matrix Y are all made of corresponding score matrix and loading matrix carry out table
Show;Obtain formula (2) and formula (3):
Wherein, T and U is respectively soda sample-corresponding score matrix of spectrum two-dimensional matrix X and the second class concentration square
The corresponding score matrix of battle array Y, P and Q are respectively soda sample-corresponding loading matrix of spectrum two-dimensional matrix X and the second class
The corresponding loading matrix of concentration matrix Y;tkIt is k-th of master of the soda sample containing n spectrum-spectrum two-dimensional matrix X
Factor score, pkIt is k-th of main gene load of the soda sample containing n spectrum-spectrum two-dimensional matrix X, ukIt is n item
K-th of main gene score of the corresponding second class concentration matrix Y of spectrum, qkIt is the corresponding second class concentration matrix Y of n spectrum
K-th of main gene load.
It should be noted that all soda samples mentioned here refer to the carbonic acid in all soda sample sets
Drink sample.
Then, the corresponding score matrix T of soda sample-spectrum two-dimensional matrix X is corresponding with the second class concentration matrix Y
Score matrix U carry out linear regression, determine the corresponding score matrix T of soda sample-spectrum two-dimensional matrix X and the second class
Default corresponding relationship between the corresponding score matrix U of concentration matrix Y, as shown in formula (4), formula (5):
U=TB (4)
B=(TTT)-1TTU (5)
The corresponding score matrix T of soda sample-spectrum two-dimensional matrix X score corresponding with the second class concentration matrix Y
Default corresponding relationship between matrix U is the relationship as shown in formula (4), is determined pre- between score matrix T and score matrix U
If corresponding relationship is determining coefficient matrix B.
Finally, according to formula (4), the corresponding loading matrix P of soda sample-spectrum two-dimensional matrix X and the second class
The corresponding loading matrix Q of concentration matrix constructs default Quantitative Analysis Model.That is, being in default Quantitative Analysis Model
Matrix number B, loading matrix P and loading matrix Q are known quantity.
On the basis of the above embodiments, the detection of synthetic dyestuff concentration in the soda provided in the embodiment of the present invention
Method, it is described by the soda to be detected-spectrum two-dimensional Input matrix into default Quantitative Analysis Model, by described default
Quantitative Analysis Model exports the first kind concentration matrix that synthetic dyestuff is preset in the soda to be detected, specifically includes:
Soda to be detected-spectrum two-dimensional the matrix is decomposed, by the soda-spectrum two to be detected
It ties up matrix and table is carried out using corresponding score matrix and the corresponding loading matrix of soda sample-spectrum two-dimensional matrix
Show;
Based on the default corresponding relationship, the corresponding loading matrix of the second class concentration matrix and the carbon determination to be checked
Acid beverage-corresponding the score matrix of spectrum two-dimensional matrix determines and exports the default synthesis in the soda to be detected
The first kind concentration matrix of pigment.
It specifically, can when the concentration of synthetic dyestuff detects in soda to be detected in the embodiment of the present invention
First to obtain RGB image of the soda to be detected under the conditions of different acid-base property, and construct soda-spectrum two to be detected
Tie up matrix X1(I×J).By soda to be detected-spectrum two-dimensional matrix X1It is decomposed, by soda-spectrum two to be detected
Tie up matrix X1It is indicated using the corresponding loading matrix P of the soda sample-spectrum two-dimensional matrix, according to formula (2)
Determine soda to be detected-spectrum two-dimensional matrix X1Corresponding score matrix T1。
The first kind concentration matrix Y of synthetic dyestuff in soda to be detected can be calculated according to formula (4)1Score square
Battle array U1.Using the corresponding loading matrix Q of the second class concentration matrix as first kind concentration matrix Y1Loading matrix, and combine formula
(3) it can determine that first kind concentration matrix Y1, realize the detection to synthetic dyestuff concentration is preset in soda.
For example, the RGB image of soda sample can be obtained in the embodiment of the present invention using smart phone shooting, use
Software MATLAB, tool box PLS Toolbox carry out data processing.
Soda sample is placed in darkroom, using the fixed image acquisition parameter in darkroom, the position including smart phone
It sets, distance and illumination brightness between soda sample and smart phone, to guarantee to obtain good stability and repetition
Property.White hard paper plate is provided in darkroom, as the shooting background of soda sample, darkroom is furnished with to be powered by USB port
LED light.Selected LED light is formed a circle by 6 small bulbs and is formed, effectively prevent area light according to it is too strong cause reflection and
Uneven color.Smart mobile phone support is located at outside darkroom.For Image Acquisition, soda sample is placed in 5mm quartz ratio
In color ware, and open LED light.Camera flash-light in smart phone is closed, image is recorded in 24 RGB with " .jpg " format
In system, every part of soda sample in triplicate, then takes its pixel average to constitute this part of soda sample when shooting
RGB image.
The RGB image of every part of obtained soda sample is imported in MATLAB software, obtains 4608 × 2592 × 6
Data matrix intercepts reaction color region in cuvette according to display image distribution, obtains 150 × 100 × 6 sense
Interest area data matrix.Since image has good homogeneity, gained regions of interest data matrix is subjected to average place
Reason.The regions of interest data matrix integration that identical pigment is matched is corresponding as soda sample-spectrum two-dimensional matrix
Synthetic dyestuff concentration carries out modeling analysis as the second class concentration matrix.
Wherein 120 parts of soda samples it will preset and synthesize as test set as training set, 30 parts of soda samples
Pigment contains 5 kinds of pigment concentrations, is based on Partial Least Squares, using soda sample-spectrum two-dimensional matrix of acquisition and the
Two class concentration matrix establish default Quantitative Analysis Model.If Fig. 4 (a) is using lemon yellow pigment structure in apple taste soda
The result schematic diagram of cross validation in default Quantitative Analysis Model (Cross Validation, CV) is built, Fig. 4 (b) is using apple
Lemon yellow pigment constructs the result schematic diagram corrected in default Quantitative Analysis Model in fruit taste soda, and Fig. 4 (c) is to use
Lemon yellow pigment constructs the result schematic diagram verified in default Quantitative Analysis Model in apple taste soda.As Fig. 5 (a) is
The result schematic diagram of CV in default Quantitative Analysis Model is constructed using brilliant blue pigment in apple taste soda, Fig. 5 (b) is to adopt
The result schematic diagram corrected in default Quantitative Analysis Model is constructed with brilliant blue pigment in apple taste soda, Fig. 5 (c) is to adopt
The result schematic diagram verified in default Quantitative Analysis Model is constructed with brilliant blue pigment in apple taste soda.As Fig. 6 (a) is
The result schematic diagram of CV in default Quantitative Analysis Model is constructed using lemon yellow pigment in orange taste soda, Fig. 6 (b) is
The result schematic diagram corrected in default Quantitative Analysis Model, Fig. 6 (c) are constructed using lemon yellow pigment in orange taste soda
It is that the result schematic diagram verified in default Quantitative Analysis Model is constructed using lemon yellow pigment in orange taste soda.Such as figure
7 (a) be the result schematic diagram that CV in default Quantitative Analysis Model is constructed using sunset yellow in orange taste soda, figure
7 (b) be that the result schematic diagram corrected in default Quantitative Analysis Model is constructed using sunset yellow in orange taste soda,
Fig. 7 (c) is that the result signal verified in default Quantitative Analysis Model is constructed using sunset yellow in orange taste soda
Figure.Abscissa is the true value (unit g/L) that synthetic dyestuff content is preset in soda in figure, and ordinate is through structure
The detected value (unit g/L) for the default synthetic dyestuff content that the default Quantitative Analysis Model built detects.
Specific data are as shown in table 3, and LVs is latent variable number (Latent Variables, LVs) in table 3, and RMSEP is
Predicted root mean square error (Root-Mean-Square Error of Prediction, RMSEP).
Table 3 presets Quantitative Analysis Model building result
It can analyze and obtain by table 3: based on PLS, using the modeling effect of sunset yellow in orange taste soda
It is best.As shown in Fig. 4 (a), 4 (b) and 4 (c), during CV, correction and verifying, coefficient R2Value reach 0.98 with
On.Based on PLS, it is much better than to drink using orange taste carbonic acid using the modeling effect of lemon yellow pigment in apple taste soda
The modeling effect of lemon yellow pigment concentration in material, this is because coloring matter is mainly sunset yellow in orange taste soda
Element and two kinds of lemon yellow pigment, be all yellow class pigment, color is close, and the degree that influences each other is larger.And apple taste carbonic acid is drunk
Brilliant blue pigment interactive verification process R in material2Only 0.6843, this is because brilliant blue pigment belongs to non-azo pigment, do not have
After lye is added obvious color change does not occur for azo structure, thus it is poor to model effect.
It is synthesized in a kind of soda as shown in figure 8, providing on the basis of the above embodiments, in the embodiment of the present invention
The detection system of pigment concentration, comprising: RGB image obtains module 81 and concentration detection module 82.Wherein,
RGB image obtains module 81 for obtaining RGB image of the soda to be detected under the conditions of different acid-base property, and
Construct soda to be detected-spectrum two-dimensional matrix;
Concentration detection module 82 is used for the soda to be detected-spectrum two-dimensional Input matrix to default quantitative analysis
In model, the first kind concentration that synthetic dyestuff is preset in the soda to be detected is exported by the default Quantitative Analysis Model
Matrix;
Wherein, the default Quantitative Analysis Model is constructed based on Partial Least Squares, for characterizing soda-spectrum two
Tie up the corresponding relationship in matrix and soda between the concentration matrix of the default synthetic dyestuff.
Specifically, each module in the detection system of synthetic dyestuff concentration in the soda provided in the embodiment of the present invention
The operating process of effect and each step in above method class embodiment is correspondingly that the technical effect of realization is also consistent
, details are not described herein in the embodiment of the present invention.
As shown in figure 9, on the basis of the above embodiments, a kind of electronic equipment is provided in the embodiment of the present invention, comprising:
Processor (processor) 901, memory (memory) 902, communication interface (Communications Interface) 903
With bus 904;Wherein,
The processor 901, memory 902, communication interface 903 complete mutual communication by bus 904.It is described to deposit
Reservoir 902 is stored with the program instruction that can be executed by the processor 901, and processor 901 is used to call the journey in memory 902
Sequence instruction, to execute method provided by above-mentioned each method embodiment, for example, S11 obtains soda to be detected not
With the RGB image under the conditions of acid-base property, and construct soda to be detected-spectrum two-dimensional matrix;S12, by the carbon determination to be checked
Acid beverage-spectrum two-dimensional Input matrix into default Quantitative Analysis Model, by the default Quantitative Analysis Model output it is described to
Detect the first kind concentration matrix that synthetic dyestuff is preset in soda.
Logical order in memory 902 can be realized by way of SFU software functional unit and as independent product pin
It sells or in use, can store in a computer readable storage medium.Based on this understanding, technical side of the invention
Substantially the part of the part that contributes to existing technology or the technical solution can be with the shape of software product in other words for case
Formula embodies, which is stored in a storage medium, including some instructions are used so that a calculating
Machine equipment (can be personal computer, server or the network equipment etc.) executes each embodiment the method for the present invention
All or part of the steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory,
ROM), random access memory (Random Access Memory, RAM), magnetic or disk etc. are various can store program
The medium of code.
On the basis of the above embodiments, a kind of non-transient computer readable storage medium is provided in the embodiment of the present invention
Matter, the non-transient computer readable storage medium store computer instruction, and the computer instruction executes the computer
Method provided by above-mentioned each method embodiment, for example, S11 obtains soda to be detected in different acid-base property conditions
Under RGB image, and construct soda to be detected-spectrum two-dimensional matrix;S12, by the soda-spectrum two to be detected
Input matrix is tieed up into default Quantitative Analysis Model, is exported in the soda to be detected by the default Quantitative Analysis Model
The first kind concentration matrix of default synthetic dyestuff.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features;
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (9)
1. the detection method of synthetic dyestuff concentration in a kind of soda characterized by comprising
RGB image of the soda to be detected under the conditions of different acid-base property is obtained, and constructs soda-spectrum two to be detected
Tie up matrix;
By the soda to be detected-spectrum two-dimensional Input matrix into default Quantitative Analysis Model, by described default quantitative
Analysis model exports the first kind concentration matrix that synthetic dyestuff is preset in the soda to be detected;
Wherein, the default Quantitative Analysis Model is constructed based on Partial Least Squares, for characterizing soda-spectrum two-dimensional square
Corresponding relationship in battle array and soda between the concentration matrix of the default synthetic dyestuff.
2. the detection method of synthetic dyestuff concentration in soda according to claim 1, which is characterized in that described default
The construction method of Quantitative Analysis Model includes:
For each soda sample sets in sample sets, the different soda sample into each soda sample sets
It is inside separately added into the alkaline solution of different volumes, obtains the RGB figure of every part of soda sample in each soda sample sets
Picture, and construct the second class of the default synthetic dyestuff in soda sample-spectrum two-dimensional matrix and soda sample
Concentration matrix;It wherein, include: multiple soda samples of the default synthetic dyestuff with various concentration in the sample sets
Product group, includes more parts of soda samples in each soda sample sets, different carbonic acid in each soda sample sets
The default synthetic dyestuff concentration in drink sample is equal;
It is determined between the soda sample-spectrum two-dimensional matrix and the second class concentration matrix by Partial Least Squares
Corresponding relationship, construct the default Quantitative Analysis Model.
3. the detection method of synthetic dyestuff concentration in soda according to claim 1, which is characterized in that described default
The construction method of Quantitative Analysis Model includes:
By all soda sample components in sample sets at K parts, cross validation method is rolled over using K-, to described default quantitative
Analysis model is constructed;
It wherein, include: multiple soda sample sets of the default synthetic dyestuff with various concentration in the sample sets,
It include more parts of soda samples in each soda sample sets, different soda sample in each soda sample sets
The default synthetic dyestuff concentration in product is equal.
4. the detection method of synthetic dyestuff concentration in soda according to claim 2, which is characterized in that described to pass through
Partial Least Squares determines the corresponding pass between the soda sample-spectrum two-dimensional matrix and the second class concentration matrix
System constructs the default Quantitative Analysis Model, specifically includes:
Soda sample-spectrum two-dimensional the matrix and the second class concentration matrix are decomposed, the carbonic acid is drunk
Material sample-spectrum two-dimensional matrix and the second class concentration matrix are all made of corresponding score matrix and loading matrix carry out table
Show;
The soda sample-corresponding score matrix of spectrum two-dimensional matrix is corresponding with the second class concentration matrix
Sub-matrix carries out linear regression, determines the soda sample-corresponding score matrix of spectrum two-dimensional matrix and described second
Default corresponding relationship between the corresponding score matrix of class concentration matrix;
Based on the default corresponding relationship, soda sample-corresponding loading matrix of spectrum two-dimensional matrix and described
The corresponding loading matrix of second class concentration matrix constructs the default Quantitative Analysis Model.
5. the detection method of synthetic dyestuff concentration in soda according to claim 4, which is characterized in that described by institute
Soda to be detected-spectrum two-dimensional Input matrix is stated into default Quantitative Analysis Model, by the default Quantitative Analysis Model
The first kind concentration matrix for presetting synthetic dyestuff in the soda to be detected is exported, is specifically included:
Soda to be detected-spectrum two-dimensional the matrix is decomposed, by the soda to be detected-spectrum two-dimensional square
Battle array is indicated using corresponding score matrix and soda sample-corresponding loading matrix of spectrum two-dimensional matrix;
Based on the default corresponding relationship, the corresponding loading matrix of the second class concentration matrix and the carbonic acid drink to be detected
Material-corresponding the score matrix of spectrum two-dimensional matrix determines and exports the default synthetic dyestuff in the soda to be detected
First kind concentration matrix.
6. the detection method of synthetic dyestuff concentration, feature exist in soda according to any one of claims 1-5
In the default synthetic dyestuff specifically includes: lemon yellow pigment, sunset yellow or brilliant blue pigment.
7. the detection system of synthetic dyestuff concentration in a kind of soda characterized by comprising
RGB image obtains module, for obtaining RGB image of the soda to be detected under the conditions of different acid-base property, and constructs
Soda to be detected-spectrum two-dimensional matrix;
Concentration detection module is used for the soda to be detected-spectrum two-dimensional Input matrix to default Quantitative Analysis Model
In, the first kind concentration square that synthetic dyestuff is preset in the soda to be detected is exported by the default Quantitative Analysis Model
Battle array;
Wherein, the default Quantitative Analysis Model is constructed based on Partial Least Squares, for characterizing soda-spectrum two-dimensional square
Corresponding relationship in battle array and soda between the concentration matrix of the default synthetic dyestuff.
8. a kind of electronic equipment characterized by comprising
At least one processor, at least one processor, communication interface and bus;Wherein,
The processor, memory, communication interface complete mutual communication by the bus;
The memory is stored with the program instruction that can be executed by the processor, and the processor calls described program instruction,
To execute the detection method such as synthetic dyestuff concentration in soda of any of claims 1-6.
9. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited
Computer instruction is stored up, the computer instruction executes the computer such as carbonic acid of any of claims 1-6 drink
The detection method of synthetic dyestuff concentration in material.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103115889A (en) * | 2011-11-17 | 2013-05-22 | 中国石油化工股份有限公司 | Method for predicating sulphur content of crude oil by infrared transmittance spectroscopy |
CN103149208A (en) * | 2013-03-09 | 2013-06-12 | 福州大学 | Method for rapidly detecting multiple components of fat-soluble azo dyes |
CN103411955A (en) * | 2013-08-21 | 2013-11-27 | 天津大学 | Concentration detection method for mixed solution of cephalosporin antibiotics based on Raman spectrum |
CN104181122A (en) * | 2014-08-06 | 2014-12-03 | 首都师范大学 | Method for detecting content of pesticide in cereal by utilizing terahertz time-domain spectroscopy |
CN104792752A (en) * | 2015-04-03 | 2015-07-22 | 江南大学 | Method for determining content of pigments in mixed pigment solutions by adopting three-dimensional fluorescence spectroscopy combined with PARAFAC (parallel factor analysis) algorithm |
CN104897607A (en) * | 2015-06-18 | 2015-09-09 | 北京工商大学 | Food modeling and rapid detecting integration method and system adopting portable NIRS (near infrared spectroscopy) |
CN104949936A (en) * | 2015-07-13 | 2015-09-30 | 东北大学 | Sample component determination method based on optimizing partial least squares regression model |
CA2784795C (en) * | 2009-12-16 | 2018-03-27 | Spectralys Innovation | Method and spectroscopic analysis appliance, especially for analysing food, with multi-channel treatment of spectral data |
CN109313127A (en) * | 2016-02-02 | 2019-02-05 | 光谱创新公司 | The method and apparatus for implementing the infrared and fluorescence multichannel process to spectroscopic data to carry out spectrum analysis |
-
2019
- 2019-03-15 CN CN201910196642.6A patent/CN109856061A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2784795C (en) * | 2009-12-16 | 2018-03-27 | Spectralys Innovation | Method and spectroscopic analysis appliance, especially for analysing food, with multi-channel treatment of spectral data |
CN103115889A (en) * | 2011-11-17 | 2013-05-22 | 中国石油化工股份有限公司 | Method for predicating sulphur content of crude oil by infrared transmittance spectroscopy |
CN103149208A (en) * | 2013-03-09 | 2013-06-12 | 福州大学 | Method for rapidly detecting multiple components of fat-soluble azo dyes |
CN103411955A (en) * | 2013-08-21 | 2013-11-27 | 天津大学 | Concentration detection method for mixed solution of cephalosporin antibiotics based on Raman spectrum |
CN104181122A (en) * | 2014-08-06 | 2014-12-03 | 首都师范大学 | Method for detecting content of pesticide in cereal by utilizing terahertz time-domain spectroscopy |
CN104792752A (en) * | 2015-04-03 | 2015-07-22 | 江南大学 | Method for determining content of pigments in mixed pigment solutions by adopting three-dimensional fluorescence spectroscopy combined with PARAFAC (parallel factor analysis) algorithm |
CN104897607A (en) * | 2015-06-18 | 2015-09-09 | 北京工商大学 | Food modeling and rapid detecting integration method and system adopting portable NIRS (near infrared spectroscopy) |
CN104949936A (en) * | 2015-07-13 | 2015-09-30 | 东北大学 | Sample component determination method based on optimizing partial least squares regression model |
CN109313127A (en) * | 2016-02-02 | 2019-02-05 | 光谱创新公司 | The method and apparatus for implementing the infrared and fluorescence multichannel process to spectroscopic data to carry out spectrum analysis |
Non-Patent Citations (1)
Title |
---|
于洋等: "手机摄像系统结合化学计量学检测食品饮料中偶氮类色素含量", 《中国化学会第14届全国计算(机)化学学术会议暨分子模拟国际论坛会议手册》 * |
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