CN110672787B - Method for researching interaction of aroma substances in roses - Google Patents
Method for researching interaction of aroma substances in roses Download PDFInfo
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- CN110672787B CN110672787B CN201910796106.XA CN201910796106A CN110672787B CN 110672787 B CN110672787 B CN 110672787B CN 201910796106 A CN201910796106 A CN 201910796106A CN 110672787 B CN110672787 B CN 110672787B
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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Abstract
The invention discloses a method for researching interaction of fragrant substances in roses. Which comprises the following steps: (1) respectively testing the actual fragrance intensity of the fragrance substance A in the mixed solution under different groups of concentrations; (2) using Steven model function I ═ k × CnCalculating to obtain the theoretical aroma intensity of the aroma substance A under different group concentrations; (3) calculating the sum of squares of differences between the actual fragrance intensity and the theoretical fragrance intensity of the fragrance substance A under different group concentrations; (4) calculating k of the aroma substance A in the step 3 by using a planning solution methodmAAnd nmA(ii) a (5) Repeating the steps 1-4 to obtain n of another aroma substance BmB(ii) a (6) Calculating nmAAnd nmBAbsolute value | n of the difference ofmA‑nmBAnd l, judging the interaction between the two aroma substances. The method can comprehensively and accurately research the interaction between the fragrant substances, and can be widely applied to design of rose perfume and essence systems.
Description
Technical Field
The invention relates to a method for researching interaction of fragrant substances in roses.
Background
The rose has elegant characteristic aroma and is deeply loved by people, and related essence and spice products are widely applied to industries such as food, daily cosmetics, textile, leather, paper making and the like and are closely related to national economy and people's life. At present, most of rose essence products independently developed in China have insufficient characteristic fragrance harmony, verisimilitude and natural sense, and particularly have larger difference compared with the characteristic fragrance of natural products, so that the application effect in terminal products is poor, the requirements of consumers cannot be met, and the further development of the rose essence industry is restricted.
The reason for this is that the interaction relationship between characteristic aroma substances in natural roses is unclear, and the aroma formation rule is unclear, so that there is no systematic theory guidance in the design process of the rose essence. Therefore, how to promote the fragrance quality of the rose essence and promote the characteristic fragrance regulation technology of the rose essence to be industrialized from a laboratory through the interaction rule among natural rose fragrance substances is a technical problem to be solved urgently in the field.
At present, methods for researching interaction between aroma substances mainly include a threshold value method, an OAV method and an S-shaped curve method. The threshold value method and the OAV method are only suitable for the interaction relationship of the measured aroma substances at the threshold value level or the actual concentration point, and the interaction relationship under different concentration conditions cannot be researched, so that the two methods have obvious limitations. The two methods both need a tissue sensory group to determine the threshold value of the aroma substances, so that the workload is large, the operation is complicated, and a large amount of errors exist frequently, so that the result accuracy is poor. The S-shaped curve method integrates the research interaction of factors such as the threshold value, the concentration and the like of the aroma components, makes up the limitation of the threshold value method, and can research the interrelation under different concentrations. And the threshold is calculated by adopting a mathematical fitting mode, so that the accuracy of a calculation result is greatly improved. However, the method also requires the determination of the threshold value of the aroma substance, is heavy in workload and is not suitable for large-scale interaction study. Therefore, there is a need in the art for a method for studying the interaction between aroma substances with simple operation, small error, and better comprehensiveness and accuracy.
Disclosure of Invention
The invention aims to overcome the defects of complex steps, inconvenient operation, large error and the like of a method for researching the interaction between the fragrant substances in the roses in the prior art, and provides a method for researching the interaction between the fragrant substances in the roses. Can be widely applied to design of rose spice and essence system.
The invention provides a method for researching interaction of aroma substances in roses, which comprises the following steps:
(1) respectively testing the actual fragrance intensity of the fragrance substance A in the mixed solution under different groups of concentrations, and recording the actual fragrance intensity as IA1，IA2，IA3……IAi；
The mixed solution comprises a matrix solution and one or more aroma substances;
the concentration is the mass ratio C of the aroma substance A to the matrix solutionAMg/kg; the concentrations of the different groups are respectively marked as CA1，CA2，CA3……CAi(ii) a The i is the group number of the concentration;
(2) in Steven model function I ═ k × CnWherein each of k and n is given an initial value of k0And n0Will k is0、n0And different group concentrations C of the aroma substances A in the step 1A1，CA2，CA3……CAiRespectively substituting the above model functions to calculate theoretical fragrance intensity of the fragrance substance A at different concentrations, and recording as IA1’，IA2’，IA3’……IAi’；
(3) Calculating the square of the difference between the actual and theoretical aroma intensity of the aroma A at the same set of concentrations, i.e. (I)Ai-IAi’)2(ii) a Then calculating the sum of the squares of the difference values of the actual fragrance intensity and the theoretical fragrance intensity of the fragrance A at the different sets of concentrations in step 1, namely sigma (I)Ai-IAi’)2；
(4) Calculating k of the aroma substance A in the step 3 by using a planning solution methodmAAnd nmA(ii) a The k of the aroma AmAAnd said nmAIs calculated by m times of iteration, and simultaneously meets the following conditions: max (| k)mA-k(m-1)A|，|nmA-n(m-1)AI) is less than the allowable error, and the Σ (I) of the aroma AAi-IAi’)2Reaching a minimum value;
(5) repeating the process of steps 1-4 to obtain n of another aroma substance BmB；
(6) Calculating the nmAAnd said nmBAbsolute value | n of the difference ofmA-nmBJudging the interaction between two aroma substances; when | nmA-nmBWhen the | is less than 0.1, the two aroma substances have a synergistic effect; when | nmA-nmBWhen the | is more than or equal to 0.1 and less than or equal to 0.2, the two aroma substances have an addition effect; when | nmA-nmBWhen the | is more than 0.2, the two aroma substances have a covering effect.
In step 1, the actual fragrance intensity can be obtained by adopting sensory evaluation methods conventionally adopted in the field for testing fragrance intensity, and is preferably obtained by testing according to ISO8586-2012 standard.
In the step 1, the substrate solution is a simulation system similar to the rose. The matrix solution preferably comprises the following components in parts by weight: 10-30 parts of decane, 10-30 parts of undecane, 1-20 parts of dodecane, 5-20 parts of pentadecane and 5-20 parts of heptadecane.
Wherein, the weight portion of the dodecane is preferably 10 portions. The weight part of the pentadecane is preferably 15 parts. The weight part of the heptadecane is preferably 15 parts.
In the step 1, the aroma substance can be an aroma substance conventionally used in the field of rose perfume, and preferably comprises a ketone compound, an aldehyde compound, an alcohol compound or an ester compound.
Wherein the ketone compound can be 2-nonanone, acetophenone, 2-hexanone or beta-damascenone.
The aldehyde compound can be (E, E) -2, 4-hexadienal, hexanal, heptanal, octanal, (E) -2-heptenal, (E) -2-hexenal, neral, citronellal or (E, E) -2, 4-heptadienal.
The alcohol compound can be geraniol, phenethyl alcohol, hexanol, leaf alcohol, octanol, heptanol, phenethyl alcohol, nerol or linalool.
The ester compound may be ethyl butyrate.
In the step 1, for the value of the concentration, a person skilled in the art can reasonably take the value according to the actual concentration of the aroma substance A in the rose as a reference. For example, the mass ratio of the 2-nonanone to the matrix solution may be from 0.5 to 30mg/kg, preferably 1mg/kg, 2mg/kg, 4mg/kg, 8mg/kg, 16mg/kg or 24 mg/kg. The mass ratio of the (E, E) -2, 4-hexadienal relative to the matrix solution may be 0.5 to 15mg/kg, preferably 1mg/kg, 2mg/kg, 4mg/kg, 8mg/kg or 12 mg/kg. The mass ratio of the geraniol or the phenethyl alcohol to the matrix solution may be 0.5-15mg/kg, preferably 1mg/kg, 2mg/kg, 4mg/kg, 6mg/kg or 9 mg/kg.
In step 1, the number of concentration sets is preferably at least 5, for example, the number of concentration sets may be 5, 6, 7, 8 or 9.
In step 2, k is0And said n0Values can be selected conventionally in the field of mathematics, for example, from 0.2 to 10. When the aroma substance in the rose is 2-nonanone, (E, E) -2, 4-hexadienal, geraniol or phenethyl alcohol, k is0Preferably 1.2, said n0Preferably 0.4.
In step 4, the planning solver may be a conventional method in the art, i.e., a component of a set of commands, sometimes referred to as hypothesis analysis, that may be used to determine the maximum or minimum value for a cell by modifying other cells. For example, the planning solver described in the present invention is preferably run in Excel software.
Preferably, when run in Excel software, the target cell in the plan solver is the sum Σ (I) of the squares of the differences of the actual and theoretical fragrance intensities at different sets of concentrationsAi-IAi’)2Corresponding cell, variable cell k0And n0Corresponding cell, written as "k0The corresponding cell: n is0Corresponding cell OR0The corresponding cell: k is a radical of0Corresponding cell ", when max (| k) is calculatedmA-k(m-1)A|，|nmA-n(m-1)AI) is less than the tolerance, and the Σ (I) of the aroma AAi-IAi’)2When the minimum value is reached, the iterative computation is stopped.
In step 4, the allowable error is preferably 10 or less, as is conventionally known in the art-3For example, the allowable error is 10-6。
In step 4, the max (| k) is determined according to conventional techniques in the artmA-k(m-1)A|，|nmA-n(m-1)AI) is | kmA-k(m-1)AI and | nmA-n(m-1)AThe maximum value in l.
In step 5, the aroma substance B may be another aroma substance in the mixed solution in step 1 or an aroma substance in another mixed solution. Preferably, the matrix solution in the other mixed solution is the same as the matrix solution in step 1.
In step 6, 0.1 and 0.2 used in judging the interaction between two aroma substances were obtained by the inventors of the present invention through creative efforts. For example, the interaction between two aroma substances is obtained by the S-curve method, and | n is obtained by the method of the above-described steps 1 to 6mA-nmBL, it is proved by a large amount of data that when | nmA-nmBWhen the | is less than 0.1, the synergistic effect is the same as that judged by an S curve method; when | nmA-nmBWhen | is greater than or equal to 0.1 and less than or equal to 0.2, the addition effect is the same as that judged by an S curve method; when | nmA-nmBIf | is greater than 0.2, the masking effect is the same as that judged by the S curve method.
In one embodiment, when testing for interaction between fragrances in roses, the fragrances may be 2-nonanone, (E, E) -2, 4-hexadienal, geraniol, or phenylethyl alcohol in step 1; among them, the mass ratio of 2-nonanone, (E, E) -2, 4-hexadienal, geraniol or phenethyl alcohol with respect to the matrix solution is preferably as follows:
among them, the number of groups of different concentrations of 2-nonanone, (E, E) -2, 4-hexadienal, geraniol or phenethyl alcohol is preferably 5 groups.
The letters "a", "B" following the terms in the present invention, such as "a", "B" in the aroma substance a and the aroma substance B, have no actual meaning and are merely distinguished from the same terms.
In the invention, i is the group number of different group concentrations.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The reagents and starting materials used in the present invention are commercially available.
The positive progress effects of the invention are as follows: the invention is based on Steven model function I ═ kxCnAnd sensory evaluation method for obtaining absolute value | n of n difference between the aroma substances in the same mixed solution or different mixed solutions with the same matrix solutionmA-n(m-1)AAnd the size of the flower is used for judging the interaction relationship among the fragrant substances in the rose. The method comprehensively considers the actual fragrance intensity of the fragrance substances, the content of the fragrance substances and the n value, and compared with the traditional method, the method avoids the complex threshold value measurement work and errors. The method of the invention has universality and has no requirements on the type of the matrix solution and the type and concentration of the aroma substances to be measured. The interaction relation among the aroma substances is researched more comprehensively and accurately. Can be widely applied to design new rose spice and essence systems.
Drawings
FIG. 1 shows the absolute value | n of the difference between n obtained under the same actual fragrance intensity ratio of 2-nonanone and (E, E) -2, 4-hexanedienalmA-nmBAnd | and S-shaped curve ratio D.
FIG. 2 shows geraniol and phenethyl alcoholObtaining the absolute value | n of the difference value of n under the condition of the same actual fragrance intensity ratiomA-nmBAnd | and S-shaped curve ratio D.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention. The experimental methods without specifying specific conditions in the following examples were selected according to the conventional methods and conditions, or according to the commercial instructions.
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention. The experimental methods without specifying specific conditions in the following examples were selected according to the conventional methods and conditions, or according to the commercial instructions.
The specific steps of judging the interaction relationship among the aroma substances by an S-shaped curve method are as follows:
(1) mixture measured threshold calculation
Thirteen panelists (6 men and 7 women, age 22-28) were tested. Before the test began, the panelists were informed of the nature of the aroma and given a standard solution to feel their aroma characteristics. Panelists were asked to perform 10 triple point matching (3-AFC) tests on each compound at a dilution factor of 2. Panelists began smelling at the highest concentration and, if the panelist could identify the sample containing the aroma compound among the three samples (one sample containing the aroma compound and two blanks), the next lower concentration sample was tested, and so on until the panelist could not properly distinguish. All experiments were repeated three times. The correct recognition probability A smelled by a sensory panel is calculated and further corrected, wherein the correction formula is that P is (3A-1)/2 (wherein P is the correction value of the correct recognition probability, and A is the actually measured correct recognition probability value), and a curve with Log (concentration) as an abscissa and the correction value P of the correct recognition probability as an ordinate is drawn. The 10 data points are plotted using sigmoid curve y equal to 1/(1+ e)(-λx)) And (6) fitting. When the ordinate P is 0.5, the corresponding abscissa is the measured threshold.
(2) Mixture theoretical threshold calculation
After the aroma substance a and the aroma substance B are mixed, a curve is plotted with Log (concentration) as the abscissa and a correction value P of the correct recognition probability as the ordinate by the formula P (ab) ═ P (a) + P (B) — P (a) × P (B), and fitting is performed.
(3) Calculating the S-shaped curve ratio D
The sigmoidal ratio D is the experimental/theoretical threshold.
(4) Criteria for determination of interaction
When D is greater than 1, the two aroma substances have a covering effect; when D is more than 0.5 and less than 1, the two aroma substances have addition effect; when D is less than 0.5, the two aroma substances are synergistic.
Second, the present application, examples 1-3, test methods for testing the actual fragrance intensity of fragrance materials
The method for measuring the actual aroma intensity of the aroma substances by using a sensory evaluation method comprises the following specific steps:
the sensory evaluation method consists of 10 sensory panel members (5 men and 5 women, age 25-34 years old), is from a sensory evaluation laboratory of Shanghai applied technology university perfume and essence technology and engineering college, participates in fragrance evaluation work regularly, and has rich sensory test experience. All procedures were performed strictly according to ISO8586-2012 standard for screening tests. Before sensory evaluation, a series of solutions of the test substances with different concentrations are prepared, the panelists discuss 5 times and define the sensory fragrance intensity of the test substances, the 0-10 is determined to be classified as a fragrance intensity scoring standard, the 0 'is classified as no fragrance, the 10' is classified as the strongest fragrance, each sample is repeated three times, and finally, the average value is taken.
And (3) testing the actual aroma intensity of the aroma substances with different groups of concentrations in the step (1) by adopting the same method, repeating the step three times for each sample, and finally taking an average value.
Thirdly, the sources, mass fractions and purities of the components in the mixed solutions of examples 1 to 3 are shown in table 1.
TABLE 1
Fourth, examples 1 to 3
Example 1 method for studying interaction between fragrance substances 2-nonanone and (E, E) -2, 4-hexadienal in roses
A method for researching interaction of aroma substances in roses comprises the following steps:
(1) under different group concentrations, the sensory evaluation method is adopted to respectively test the actual fragrance intensity of the 2-nonanone in the mixed solution, and the results are shown in table 2; the mixed solution comprises a matrix solution and 2-nonanone, and the concentration is the mass ratio C of the 2-nonanone to the matrix solutionAMg/kg. The concentrations of different groups are respectively marked as CA1，CA2，CA3，CA4，CA5. The matrix solution comprises the following components in parts by weight: 30 parts of decane, 30 parts of undecane, 10 parts of dodecane, 15 parts of pentadecane and 15 parts of heptadecane.
The actual fragrance intensity of the different groups of concentrations of 2-nonanone in step 1 was tested by the sensory evaluation method described above, repeated three times for each sample, and finally averaged to give the average value IA1，IA2，IA3，IA4，IA5The results are shown in Table 2;
(2) in Steven model function I ═ k × CnIn (1) are given initial values of k and n, respectively, k0Is 1.2 and n0Is 0.4, k is0、n0And different group concentrations C of 2-nonanone in step 1A1，CA2，CA3，CA4，CA5Respectively substituting into the model functions to calculate theoretical fragrance intensity of 2-nonanone at different concentrations, and recording as IA1’，IA2’，IA3’，IA4’，IA5', results are shown in Table 2;
(3) in the same group of concentratedAt that degree, the square of the difference between the actual and theoretical fragrance intensity of 2-nonanone, i.e., (I)Ai-IAi’)2The results are shown in Table 2; then calculating the sum of squares of the difference values of the actual aroma intensity and the theoretical aroma intensity of the 2-nonanone under different concentrations, namely sigma (I)Ai-IAi’)2The results are shown in Table 2;
(4) calculating k of the 2-nonanone in the step 3 by using a planning solution methodmAAnd nmA；kmAAnd nmAIs calculated by m times of iteration, and simultaneously meets the following conditions: max (| k)mA-k(m-1)A|，|nmA-n(m-1)AI) less than the allowable error of 10-3And 2-nonanone ∑ (I)Ai-IAi’)2The minimum was reached and the results are shown in table 2; performing planning solution calculation in Excel, wherein a target cell is sum sigma (I) of squares of difference values of actual fragrance intensity and theoretical fragrance intensity under different groups of concentrationsAi-IAi’)2Corresponding unit cell, two unit cells can be changed to k0And n0A corresponding cell;
TABLE 2
(5) Repeating the steps 1-4 to obtain n of (E, E) -2, 4-hexadienal in another mixed solutionmBThe results are shown in Table 3; the other mixed solution comprises a matrix solution and (E, E) -2, 4-hexadienal; the matrix solution comprises the following components in parts by weight: 30 parts of decane, 30 parts of undecane, 10 parts of dodecane, 15 parts of pentadecane and 15 parts of heptadecane.
TABLE 3
(6) Calculating nmAAnd nmBAbsolute value | n of the difference ofmA-nmBI, judging the interaction between two fragrant substances, and obtaining the resultSee table 4.
TABLE 4
| |nmA-nmB| | Interaction of |
| 0.22 | Masking effect |
Further comparing the interaction relationship between the fragrant substances obtained by the S-shaped curve method with the interaction relationship between the fragrant substances obtained by the method of the invention, the reliability of the method for researching the interaction of the fragrant substances in the roses provided by the invention is verified.
Respectively according to the actual fragrance intensity ratio (I) in the matrix solution2-nonanones/I(E, E) -2, 4-hexanedienal) A series of mixed solutions were prepared for 0.1, 0.5, 1, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10.
The S-curve ratio D of 2-nonanone (aroma A) to (E, E) -2, 4-hexadienal (aroma B) was calculated by the above S-curve method, and the interaction relationship between 2-nonanone and (E, E) -2, 4-hexadienal was judged, and the results are shown in Table 5.
Then the method for testing the interaction between the aroma substances is adopted to test the absolute value | n of the difference value of n between the 2-nonanone and the (E, E) -2, 4-hexadienalmA-nmBResults are shown in table 5.
TABLE 5
FIG. 1 is plotted according to the data in Table 5, fromFIG. 1 shows the absolute value | n of the difference n between (E, E) -2, 4-hexanedial and 2-nonanonemA-nmBThe appearance of increasing and decreasing between different actual fragrance intensity ratios indicates that the interaction between the two fragrance components is a dynamic process. The actual fragrance intensity ratio is within 1.5-3, and the absolute value | n of the difference value of n appearsmA-nmBThe region of maximum indicates that the masking interaction between (E, E) -2, 4-hexadienal and 2-nonanone reaches a maximum. And when the actual fragrance intensity ratio of the fragrance of the 2-nonanone to the (E, E) -2, 4-hexadienal is between 1.2 and 3.4, the S-shaped curve ratio also shows a region which is increased rapidly and then decreased, and the actual fragrance intensity ratio reaches a maximum value between 2 and 3. Further proves that the interaction relationship between the aroma substances obtained by the S-shaped curve method is basically consistent with the change trend of the interaction relationship between the aroma substances obtained by the method, and the interaction relationship reaches the maximum value within the range of the actual aroma intensity ratio of 2-3.
Example 2 method for studying interaction between geraniol and phenethyl alcohol in rose fragrance substances
A method for researching interaction of aroma substances in roses comprises the following steps:
(1) the sensory evaluation method adopted to test the actual fragrance intensity of the geraniol in the mixed solution under different group concentrations is shown in the table 6; the mixed solution comprises a substrate solution and geraniol with the concentration of geraniol relative to the mass ratio C of the substrate solutionAMg/kg. The concentrations of different groups are respectively marked as CA1，CA2，CA3，CA4，CA5. The matrix solution comprises the following components in parts by weight: 30 parts of decane, 30 parts of undecane, 10 parts of dodecane, 15 parts of pentadecane and 15 parts of heptadecane.
The actual fragrance intensity of geraniol at different concentrations in step 1 was tested by sensory evaluation as described above, repeated three times for each sample, and finally averaged to give an average value of IA1，IA2，IA3，IA4，IA5The results are shown in Table 6;
(2) in Steven model function I ═ k × CnMiddle dividerAssigning initial values of k and n, k0Is 1.2 and n0Is 0.4, k is0、n0And different group concentrations C of geraniol in step 1A1，CA2，CA3，CA4，CA5Respectively substituting into the model functions to calculate theoretical fragrance intensity of the fragrance substance A at different group concentrations, and recording as IA1’，IA2’，IA3’，IA4’，IA5The results are shown in Table 6;
(3) at the same set of concentrations, the square of the difference between the actual and theoretical fragrance intensity of geraniol was calculated, i.e. (I)Ai-IAi’)2The results are shown in Table 6; then calculating the sum of squares of the difference values of the actual fragrance intensity and the theoretical fragrance intensity of the geraniol at different concentrations, namely sigma (I)Ai-IAi’)2The results are shown in Table 6;
(4) calculating k of geraniol in step 3 by using a planning solution methodmAAnd nmA；kmAAnd nmAIs calculated by m times of iteration, and simultaneously meets the following conditions: max (| k)mA-k(m-1)A|，|nmA-n(m-1)AI) less than the allowable error of 10-3And of geraniol ∑ (I)Ai-IAi’)2The minimum was reached and the results are shown in table 6; performing planning solution calculation in Excel, wherein a target cell in the planning solution is the sum sigma (I) of squares of difference values of actual fragrance intensity and theoretical fragrance intensity under different concentrationsAi-IAi’)2Corresponding unit cell, two unit cells can be changed to k0And n0A corresponding cell;
TABLE 6
(5) Repeating the steps 1-4 to obtain n of phenethyl alcohol in another mixed solutionmBThe results are shown in Table 7; the other mixed solution comprises a matrix solution and phenethyl alcohol; the matrix solution comprises the following components in parts by weight: 30 parts of decane, 30 part of undecane, 10 parts of dodecane, 15 parts of pentadecane and 15 parts of heptadecane.
TABLE 7
(6) Calculating nmAAnd nmBAbsolute value | n of the difference ofmA-nmBThe interaction between the two fragrances was judged, and the results are shown in Table 8.
TABLE 8
| |nmA-nmB| | Interaction of |
| 0.02 | Synergistic effect |
Further comparing the interaction relationship between the fragrant substances obtained by the S-shaped curve method with the interaction relationship between the fragrant substances obtained by the method of the invention, the reliability of the method for researching the interaction of the fragrant substances in the roses provided by the invention is verified.
Respectively according to the actual fragrance intensity ratio (I) in the matrix solutionGeraniol/IPhenylethanolic acid) A series of mixed solutions were prepared for 0.1, 0.5, 1, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10.
The S-shaped curve ratio D of geraniol (aroma substance A) and phenethyl alcohol (aroma substance B) is calculated by adopting the S-shaped curve method, and then the interaction relationship between geraniol and phenethyl alcohol is judged, and the result is shown in Table 9.
Testing of fragrance materials by the present applicationMethod for testing interaction between geraniol and phenethyl alcohol to obtain absolute value | n of n difference valuemA-nmBResults are shown in table 9.
TABLE 9
According to the data in table 9 plotted in fig. 2, it can be seen from fig. 2 that the n difference between geraniol and phenethyl alcohol shows a decrease-then-increase change between different actual fragrance intensity ratios, indicating that the interaction between these two fragrance materials is a dynamic process. The actual fragrance intensity ratio is within 1.5-3.5, and the absolute value | n of the difference value of n appearsmA-nmBThe absolute value | n of the difference n when | is the smallest area and the actual fragrance intensity ratio is 3mA-nmBThe minimum value of 0.01 is reached, which indicates that the synergistic effect between geraniol and phenethyl alcohol reaches the maximum value. Similarly, the sigmoidal ratio also exhibits a rapid decrease followed by an increase in the area where the actual fragrance intensity ratio reaches a minimum between 1 and 3.5. Further proves that the interaction relationship between the aroma substances obtained by the S-shaped curve method is basically consistent with the change trend of the interaction relationship between the aroma substances obtained by the method.
Example 3 study of interaction method between fragrance substances 2-nonanone and (E, E) -2, 4-hexadienal in rose.
Compared with the example 1 of the application, the difference is only that the concentration group number of the 2-nonanone in the step (1) is 6 groups, which are respectively CA1，CA2，CA3，CA4，CA5And CA6. The other conditions were the same as in example 1, and the results are shown in Table 10.
From example 1, n of (E, E) -2, 4-hexanedial was foundmBAt 0.51, the absolute value | n of the difference in n between 2-nonanone and (E, E) -2, 4-hexanedial was calculatedmA-nmBAnd | is 0.22. It can be seen that the interaction between 2-nonanone and (E, E) -2, 4-hexadienal is a masking effect, and the results are the same as in example 1.
Claims (11)
1. A method for researching interaction of aroma substances in roses is characterized by comprising the following steps:
(1) respectively testing the actual fragrance intensity of the fragrance substance A in the mixed solution under different groups of concentrations, and recording the actual fragrance intensity as IA1，IA2，IA3……IAi；
The mixed solution comprises a matrix solution and one or more aroma substances;
the concentration is the mass ratio C of the aroma substance A to the matrix solutionAMg/kg; the concentrations of the different groups are respectively marked as CA1，CA2，CA3……CAi(ii) a The i is the group number of the concentration;
(2) in Steven model function I ═ k × CnWherein each of k and n is given an initial value of k0And n0Will k is0、n0And different group concentrations C of the aroma substances A in the step (1)A1，CA2，CA3……CAiRespectively substituting the above model functions to calculate theoretical fragrance intensity of the fragrance substance A at different concentrations, and recording as IA1’，IA2’，IA3’……IAi’；
(3) Calculating the square of the difference between the actual and theoretical aroma intensity of the aroma A at the same set of concentrations, i.e. (I)Ai-IAi’)2(ii) a Then calculating the sum of the squares of the difference values of the actual fragrance intensity and the theoretical fragrance intensity of the fragrance A at the different sets of concentrations of step (1), i.e., Sigma (I)Ai-IAi’)2；
(4) Calculating k of the aroma substance A in the step (3) by using a planning solution methodmAAnd nmA(ii) a The k of the aroma AmAAnd said nmAIs calculated by m times of iteration, and simultaneously meets the following conditions: max (| k)mA-k(m-1)A|，|nmA-n(m-1)AI) is less than the allowable error, and the Σ (I) of the aroma AAi-IAi’)2Reaching a minimum value;
(5) repeating the method of steps (1) to (4) to obtain n of another aroma substance BmB；
(6) Calculating the nmAAnd said nmBAbsolute value | n of the difference ofmA-nmBJudging the interaction between two aroma substances; when | nmA-nmBWhen the | is less than 0.1, the two aroma substances have a synergistic effect; when | nmA-nmBWhen the | is more than or equal to 0.1 and less than or equal to 0.2, the two aroma substances have an addition effect; when | nmA-nmBWhen the | is more than 0.2, the two aroma substances have a covering effect.
2. The method for studying interaction of aroma in rose flowers according to claim 1, wherein in step (1), the actual aroma intensity is measured according to ISO8586-2012 standard;
and/or, in the step (1), the aroma substances comprise ketone compounds, aldehyde compounds, alcohol compounds or ester compounds;
and/or, in step (1), the number of groups of the concentration is at least 5.
3. The method for researching interaction of aroma substances in rose flowers as claimed in claim 2, wherein in the step (1), the matrix solution comprises the following components in parts by weight: 10-30 parts of decane, 10-30 parts of undecane, 1-20 parts of dodecane, 5-20 parts of pentadecane and 5-20 parts of heptadecane;
and/or, in the step (1), the ketone compound is 2-nonanone, acetophenone, 2-hexanone or beta damascenone;
and/or, in the step (1), the aldehyde compound is (E, E) -2, 4-hexadienal, hexanal, heptanal, octanal, (E) -2-heptenal, (E) -2-hexenal, neral, citronellal or (E, E) -2, 4-heptadienal;
and/or, in the step (1), the alcohol compound is geraniol, phenethyl alcohol, hexanol, leaf alcohol, octanol, heptanol, phenethyl alcohol, nerol or linalool;
and/or, in the step (1), the ester compound is ethyl butyrate;
and/or, in the step (1), the number of the concentration groups is 5, 6, 7, 8 or 9.
4. The method for researching interaction of fragrance in rose as claimed in claim 3, wherein in step (1), the dodecane is 10 parts by weight;
and/or, in the step (1), the weight part of the pentadecane is 15 parts;
and/or, in the step (1), the weight part of the heptadecane is 15 parts;
and/or in the step (1), the mass ratio of the 2-nonanone to the matrix solution is 0.5-30 mg/kg;
and/or, in the step (1), the mass ratio of the (E, E) -2, 4-hexadienal to the matrix solution is 0.5-15 mg/kg;
and/or in the step (1), the mass ratio of the geraniol or the phenethyl alcohol to the matrix solution is 0.5-15 mg/kg.
5. The method for studying interaction of aroma substances in rose flowers according to claim 4, wherein in the step (1), the mass ratio of the 2-nonanone to the matrix solution is 1mg/kg, 2mg/kg, 4mg/kg, 8mg/kg, 16mg/kg or 24 mg/kg;
and/or, in step (1), the mass ratio of the (E, E) -2, 4-hexadienal to the matrix solution is 1mg/kg, 2mg/kg, 4mg/kg, 8mg/kg or 12 mg/kg;
and/or in step (1), the mass ratio of the geraniol or the phenethyl alcohol to the matrix solution is 1mg/kg, 2mg/kg, 4mg/kg, 6mg/kg or 9 mg/kg.
6. The method for studying interaction of fragrance in rose as claimed in claim 1, wherein in step (2), k is0Is 0.2 to 10, the said n0Is 0.2-10.
7. The method for studying interaction of fragrance in rose as claimed in claim 1, wherein in the step (2), when the fragrance is 2-nonanone, (E, E) -2, 4-hexadienal, geraniol or phenethyl alcohol in rose, k is as defined in the description0Is 1.2, said n0Is 0.4.
8. The method for studying interaction of fragrance substances in roses as claimed in claim 1, wherein in step (4), the planning solution is run in Excel software;
and/or, in the step (4), the allowable error is less than or equal to 10-3。
9. The method of studying interaction of fragrance in roses as claimed in claim 8, wherein in step (4), the planning solver is run in Excel software with target cells as sum of squares of difference of the actual fragrance intensity and the theoretical fragrance intensity at different sets of concentrations ∑ (I) whereAi-IAi’)2Corresponding cell, variable cell k0And n0Corresponding cell, written as "k0The corresponding cell: n is0Corresponding cell OR0The corresponding cell: k is a radical of0Corresponding cell ", when max (| k) is calculatedmA-k(m-1)A|，|nmA-n(m-1)AI) is less than the tolerance, and the Σ (I) of the aroma AAi-IAi’)2When the minimum value is reached, the iterative computation is stopped;
and/or, in the step (4), the allowable error is 10-6。
10. The method for researching interaction of aroma substances in rose flowers as claimed in claim 1, wherein in the step (5), the aroma substance B is another aroma substance in the mixed solution in the step (1) or an aroma substance in another mixed solution.
11. The method of studying interaction of fragrance in rose flowers according to claim 10, wherein the matrix solution in said another mixed solution is the same as said matrix solution in step (1).
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