CN114689797A - Method for predicting intensity of aroma substances in tobacco - Google Patents
Method for predicting intensity of aroma substances in tobacco Download PDFInfo
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- CN114689797A CN114689797A CN202210232375.5A CN202210232375A CN114689797A CN 114689797 A CN114689797 A CN 114689797A CN 202210232375 A CN202210232375 A CN 202210232375A CN 114689797 A CN114689797 A CN 114689797A
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Abstract
The invention discloses a method for predicting the intensity of aroma substances in tobacco, which comprises the following steps: determining two tobacco aroma or aroma substances, and respectively preparing single aroma or aroma substance samples with different concentrations; respectively measuring the fragrance intensity of the samples; calculating the activity value and the logarithm value of the sample according to the threshold value and the concentration of the sample; fitting the aroma intensity and the corresponding active value of each sample with different concentrations to numerical values to obtain a linear model aiming at each tobacco aroma note or aroma substance; selecting a concentration point of a mixture sample to measure the aroma intensity value; calculating an interaction term of the two tobacco aroma substances according to the aroma intensity value of the mixture sample and the aroma intensity value of the single aroma substance when the single aroma substance exists separately so as to determine a U model; and (4) predicting the fragrance intensity of the two fragrance substances after mixing based on a linear model and a U model. The method for predicting the intensity of the aroma substances in the tobacco utilizes the model to predict the intensity of the aroma substances in the tobacco, and is visual, reliable, simple, convenient and quick.
Description
Technical Field
The invention relates to the technical field of flavor chemistry, in particular to a method for predicting the intensity of aroma substances in tobacco.
Background
The aroma components are one of important indexes for evaluating the internal quality of the tobacco leaves, but the aroma components forming the tobacco style are various and have very low content, and the various aroma components have complex interaction, so the research on the forming rule of the tobacco characteristic aroma is mostly focused on the research on the aspects of analysis, transfer, influence factors and the like of the aroma components of the tobacco and the smoke for a long time, and the research on the interaction of the aroma components is very little.
Therefore, a method for predicting the intensity of aroma substances in tobacco is needed.
Disclosure of Invention
The invention aims to provide a method for predicting the intensity of aroma substances in tobacco, which aims to solve the problems in the prior art, can predict the intensity of the aroma substances in the tobacco by using a model, can predict the effect of the intensity value of the aroma after the A and B are mixed by the intensity values of single aroma or aroma notes A and B, and is visual, reliable, simple, convenient and quick.
The invention provides a method for predicting the intensity of aroma substances in tobacco, which comprises the following steps:
determining two tobacco aroma or aroma substances, and respectively preparing single tobacco aroma or aroma substance samples with different concentrations aiming at each tobacco aroma or aroma substance;
respectively measuring the aroma intensity of each single tobacco aroma or aroma substance sample;
calculating the activity value of each sample according to the determined threshold value of the tobacco aroma or aroma substances and the sample concentration, and calculating the logarithmic value of the activity value of each sample;
for each tobacco aroma or aroma substance, carrying out linear fitting on the aroma intensity of each sample with different concentrations and the corresponding logarithm value of the activity value of the sample to obtain a linear model of the logarithm value and the aroma intensity value of the aroma activity value of different tobacco aroma or aroma substances;
preparing a plurality of mixture samples of two tobacco aroma or aroma substances, selecting a concentration point of the mixture samples to carry out aroma intensity value measurement, and obtaining the aroma intensity value of the mixture samples;
calculating an interaction term of the two tobacco aroma or aroma substances according to the aroma intensity value of the mixture sample and the aroma intensity value of the mixture sample when the single aroma or aroma substance corresponding to the concentration point exists independently on the basis of the U model so as to determine an expression of the U model;
and predicting the total aroma intensity of the two mixed tobacco aroma or aroma substances according to the concentrations of the two mixed tobacco aroma or aroma substances in the unknown sample based on the linear model and the U model.
The method for predicting the intensity of the aroma substances in the tobacco, as described above, preferably, the determining two tobacco flavors or aroma substances, and preparing the single tobacco flavor or aroma substance samples with different concentrations for each tobacco flavor or aroma substance, specifically include:
selecting two tobacco aroma or fragrance substances from a plurality of tobacco aroma or fragrance substances;
and preparing samples with different concentrations according to preset concentration gradients for each tobacco aroma or aroma substance.
The method for predicting the intensity of the aroma substance in the tobacco as described above, wherein preferably, the measuring the aroma intensity of each single tobacco note or aroma substance sample respectively comprises:
the aroma intensity OI of each single tobacco aroma or aroma sample was determined by sensory evaluation.
The method for predicting the intensity of aroma substances in tobacco as described above, wherein the aroma intensity OI of each single tobacco note or aroma substance sample is preferably measured by a sensory evaluation method, specifically comprises:
the sensory group takes 1-butanol as a standard substance, the intensity standard is set as grade 1-12, a reference table of fragrance intensity is constructed, and the fragrance intensity of each sample is sequentially measured;
the average fragrance intensity OI was calculated for each sample.
The method for predicting the intensity of the aroma substances in the tobacco, as described above, preferably includes the steps of calculating the activity value of each sample according to the measured threshold value of the tobacco aroma or aroma substances and the sample concentration, and calculating the logarithmic value of the activity value of each sample, specifically including:
calculating the ratio of the concentration of the tobacco aroma or aroma substances in each sample to the corresponding threshold value, and calculating the activity value OAV of each sample;
and calculating the natural logarithm of the activity value OAV of each sample to obtain the logarithm value lnOAV of the activity value of each sample.
The method for predicting the intensity of the aroma substances in the tobacco, as described above, preferably, the linear model for obtaining the log values of the aroma activity values and the aroma intensity values of the different tobacco notes or aroma substances by performing linear fitting on the intensity of the aroma of each sample with different concentrations and the log values of the corresponding sample activity values for each tobacco note or aroma substance specifically includes:
for each tobacco aroma or aroma substance, taking the aroma intensity value of each sample with different concentrations as a vertical coordinate, taking the logarithmic value of the activity value of the sample under the corresponding concentration as a horizontal coordinate, and performing linear fitting by utilizing origin8.0 software to obtain the logarithmic value of the aroma activity value and a linear model of the aroma intensity value of the different tobacco aroma or aroma substances.
The method for predicting the intensity of the aroma substances in the tobacco preferably includes the following steps of preparing a plurality of mixture samples of two tobacco flavors or aroma substances, selecting a concentration point of a mixture sample, and measuring an aroma intensity value to obtain the aroma intensity value of the mixture sample:
respectively preparing mixture samples with different concentrations under the condition that the concentration ratio of the two tobacco aroma substances is respectively consistent with the concentration of a single tobacco aroma substance or the concentration of a single aroma substance in a single tobacco aroma substance or aroma substance sample;
and selecting one mixture sample to perform fragrance intensity value measurement to obtain the fragrance intensity value of the mixture sample.
The method for predicting the intensity of the aroma substances in the tobacco, as described above, preferably, the calculating, based on the U model, an interaction term of two tobacco notes or aroma substances according to the aroma intensity value of the mixture sample and the aroma intensity value of a single aroma or aroma substance when the single aroma or aroma substance exists alone corresponding to the concentration point of the mixture sample to determine the expression of the U model specifically includes:
the interaction term of the two tobacco notes or aroma substances is calculated by the following formula,
wherein cos alpha represents the interaction term of two tobacco aroma or fragrance substances, OIabRepresenting the intensity value of the aroma of a sample of the mixture, OIaRepresenting the intensity value of the aroma of the first aroma or fragrant substance corresponding to the concentration point of the sample mixture, OIbThe aroma intensity value of the second aroma or aroma substance corresponding to the concentration point of the mixture sample is represented;
substituting the interaction term cos alpha of the two tobacco aroma or aroma substances into a calculation formula of a U model:
the method for predicting the intensity of the aroma substances in the tobacco, as described above, preferably includes, based on the linear model and the U model, predicting the total intensity of the mixed aroma of the two tobacco notes or aroma substances according to the concentrations of the two tobacco notes or aroma substances in the unknown sample, specifically:
respectively substituting the concentrations of two tobacco aroma or aroma substances in the unknown sample into corresponding linear models to obtain the aroma intensity value of a single tobacco aroma or aroma substance in the unknown sample;
and (3) respectively substituting the aroma intensity values of the single tobacco aroma or aroma substances in the unknown sample into the U model to obtain the total aroma intensity after the two tobacco aroma or aroma substances are mixed.
The invention provides a method for predicting the intensity of aroma substances in tobacco, which realizes the effect of predicting the intensity value of aroma after mixing A and B through the intensity values of single aroma or aroma A and B by considering the relationship between one concentration point of an aroma mixture or different aroma mixtures (AB) and the intensity value of the corresponding single aroma or aroma substances (A, B) and combining the calculation of a U model; a brand-new model for accurately predicting the intensity of the aroma substances in the tobacco is provided, the method is simple and rapid, the result is visual and reliable, and the method is researched aiming at the prediction of the intensity of the aroma substances and the characteristic aroma forming rule of the tobacco.
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In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart of an embodiment of a method for predicting the intensity of aroma in tobacco provided by the present invention;
FIG. 2 is a linear relationship diagram of log value (lnOAV) and aroma intensity value (OI) of eugenol aroma activity value provided by the invention.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the disclosure, its application, or uses. The present disclosure may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that: the relative arrangement of parts and steps, the composition of materials, numerical expressions and numerical values set forth in these embodiments are to be construed as merely illustrative, and not as limitative, unless specifically stated otherwise.
As used in this disclosure, "first", "second": and the like, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element preceding the word covers the element listed after the word, and does not exclude the possibility that other elements are also covered. "upper", "lower", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
In the present disclosure, when a specific component is described as being located between a first component and a second component, there may or may not be intervening components between the specific component and the first component or the second component. When it is described that a specific component is connected to other components, the specific component may be directly connected to the other components without having an intervening component, or may be directly connected to the other components without having an intervening component.
All terms (including technical or scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs unless specifically defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
As shown in fig. 1, in an actual implementation process, the method for predicting the intensity of the aroma substance in the tobacco provided by this embodiment specifically includes the following steps:
and S1, determining two tobacco flavor or aroma substances, and respectively preparing single tobacco flavor or aroma substance samples with different concentrations aiming at each tobacco flavor or aroma substance.
Specifically, two kinds of tobacco flavor or aroma substances are selected from a plurality of kinds of tobacco flavor or aroma substances, and samples with different concentrations (for example, 5 different concentrations) are prepared according to a preset concentration gradient for each kind of tobacco flavor or aroma substances.
Wherein, the tobacco aroma or aroma substances can be, for example, eugenol and guaiacol, the measurement concentration of the aroma intensity is shown in table 1, and 5 samples of eugenol and guaiacol with different concentrations are respectively prepared. In the present invention, the type of tobacco flavor or aroma substance and the corresponding concentration gradient are not particularly limited.
TABLE 1 aroma strength determination table
And step S2, measuring the aroma intensity of each single tobacco aroma note or aroma substance sample respectively.
Specifically, the aroma intensity OI of each single tobacco note or aroma sample was determined by a sensory evaluation method. In a specific implementation, 1-butanol is used as a standard substance for the sensory group, the intensity standard is set to be grade 1-12, a reference table of the aroma intensity is constructed (see table 2), the aroma intensity of each sample is sequentially measured, and the average aroma intensity OI of each sample is calculated.
TABLE 2 fragrance intensity reference table
And step S3, calculating the activity value of each sample according to the measured threshold value of the tobacco aroma or aroma substances and the sample concentration, and calculating the logarithmic value of the activity value of each sample.
Specifically, calculating the ratio of the concentration of the tobacco aroma or aroma substances in each sample to the corresponding threshold value, and calculating the activity value OAV of each sample; then, the natural logarithm of the activity value OAV of each sample was calculated to obtain the logarithm value lnOAV of the activity value of each sample.
And S4, performing linear fitting on the aroma intensity of each sample with different concentrations and the corresponding logarithm of the activity value of the sample aiming at each tobacco aroma or aroma substance to obtain a linear model of the logarithm of the aroma activity value and the aroma intensity value of different tobacco aroma or aroma substances.
Specifically, when linear fitting is performed, for each tobacco flavor or aroma substance, the aroma intensity value of each sample with different concentrations is taken as the ordinate, the logarithm of the activity value of the sample at the corresponding concentration is taken as the abscissa, and linear fitting is performed by using origin8.0 software, so as to obtain a linear model of the logarithm of the aroma activity value and the aroma intensity value of the different tobacco flavor or aroma substance (see fig. 2).
And S5, preparing a plurality of mixture samples of two tobacco aroma or aroma substances, and selecting a concentration point of the mixture sample to measure the aroma intensity value to obtain the aroma intensity value of the mixture sample.
Specifically, under the condition that the concentration ratio of two tobacco aroma or aroma substances respectively keeps consistent with the concentration of a single tobacco aroma or aroma substance in a single tobacco aroma or aroma substance sample, mixture samples with different concentrations are respectively prepared; then, one of the mixture samples is selected for fragrance intensity value measurement, and the fragrance intensity value of the mixture sample is obtained.
And step S6, calculating an interaction term of the two tobacco aroma or aroma substances according to the aroma intensity value of the mixture sample and the aroma intensity value of the single aroma or aroma substance corresponding to the concentration point of the mixture sample when the single aroma or aroma substance exists independently on the basis of the U model, so as to determine an expression of the U model.
In an embodiment of the method for predicting the intensity of the aroma in the tobacco of the present invention, the step S6 may specifically include:
step S61, calculating the interaction term of the two tobacco aroma or fragrance substances through the following formula,
wherein cos alpha represents the interaction term of two tobacco notes or aroma substances, OIabRepresenting the intensity value of the aroma of a sample of the mixture, OIaRepresenting the intensity of the first aroma or note corresponding to the concentration point of the mixture sampleValue, OIbAnd the aroma intensity value of the second aroma or fragrant substance corresponding to the concentration point of the mixture sample is represented.
In one embodiment of the present invention, a mixture sample of eugenol and guaiacol (the concentration ratio of eugenol to guaiacol is not changed, and the mixture is still configured as shown in table 1) can be prepared, one sample is selected for fragrance intensity value measurement, and OI is used for the measurementab10.22, the sample had aroma intensity values of 8.88 and 9.62, respectively, for eugenol and guaiacol, alone, at concentrations corresponding to the interaction term cos α:
step S62, substituting the interaction term cos alpha of the two tobacco aroma or aroma substances into a calculation formula of a U model:
substituting cos alpha value-0.45 into the calculation formula of the U model:
therefore, the total fragrance intensity after mixing the eugenol and the guaiacol can be predicted according to the fragrance intensity when the eugenol and the guaiacol exist independently. Table 3 shows the U-model expression of eugenol and guaiacol and the sensory evaluation results OI (Mea test).
TABLE 3U model expressions
And step S7, predicting the total aroma intensity of the two tobacco aroma or aroma substances after mixing according to the concentrations of the two tobacco aroma or aroma substances in the unknown sample based on the linear model and the U model.
In an embodiment of the method for predicting the intensity of an aroma substance in tobacco of the present invention, the step S7 may specifically include:
and S71, respectively substituting the concentrations of the two tobacco aroma or aroma substances in the unknown sample into corresponding linear models to obtain the aroma intensity value of each tobacco aroma or aroma substance in the unknown sample.
And step S72, substituting the aroma intensity values of the single tobacco aroma or aroma substances in the unknown sample into a U model respectively to obtain the total aroma intensity after the two tobacco aroma or aroma substances are mixed.
According to the method for predicting the intensity of the aroma substances in the tobacco, provided by the embodiment of the invention, the effect of predicting the intensity value of the aroma after the A and B are mixed through the intensity values of the single aroma or the aroma A and the aroma B is realized by considering the relation between one concentration point of the aroma mixture or the different aroma mixtures (AB) and the intensity value of the corresponding single aroma or aroma substances (A, B) and combining the calculation of a U model; a brand-new model for accurately predicting the intensity of the aroma substances in the tobacco is provided, the method is simple and rapid, the result is visual and reliable, and the method is researched aiming at the prediction of the intensity of the aroma substances and the characteristic aroma forming rule of the tobacco.
Thus, various embodiments of the present disclosure have been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be understood by those skilled in the art that various changes may be made in the above embodiments or equivalents may be substituted for elements thereof without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (9)
1. A method for predicting the intensity of aroma substances in tobacco is characterized by comprising the following steps:
determining two tobacco aroma or aroma substances, and respectively preparing single tobacco aroma or aroma substance samples with different concentrations aiming at each tobacco aroma or aroma substance;
respectively measuring the aroma intensity of each single tobacco aroma or aroma substance sample;
calculating the activity value of each sample according to the determined threshold value of the tobacco aroma or aroma substances and the sample concentration, and calculating the logarithmic value of the activity value of each sample;
for each tobacco aroma or aroma substance, carrying out linear fitting on the aroma intensity of each sample with different concentrations and the corresponding logarithm value of the activity value of the sample to obtain a linear model of the logarithm value and the aroma intensity value of the aroma activity value of different tobacco aroma or aroma substances;
preparing a plurality of mixture samples of two tobacco aroma or aroma substances, and selecting a concentration point of the mixture sample to measure an aroma intensity value to obtain the aroma intensity value of the mixture sample;
calculating an interaction term of the two tobacco aroma or aroma substances according to the aroma intensity value of the mixture sample and the aroma intensity value of the mixture sample when the single aroma or aroma substance corresponding to the concentration point exists independently on the basis of the U model so as to determine an expression of the U model;
and predicting the total aroma intensity of the two mixed tobacco aroma or aroma substances according to the concentrations of the two mixed tobacco aroma or aroma substances in the unknown sample based on the linear model and the U model.
2. The method for predicting the intensity of the aroma substances in the tobacco according to claim 1, wherein the determining two tobacco flavor notes or aroma substances comprises preparing single tobacco flavor note or aroma substance samples with different concentrations for each tobacco flavor note or aroma substance, and specifically comprises the following steps:
selecting two tobacco aroma or fragrance substances from a plurality of tobacco aroma or fragrance substances;
and preparing samples with different concentrations according to preset concentration gradients for each tobacco aroma or aroma substance.
3. The method for predicting the intensity of the aroma substances in the tobacco according to claim 1, wherein the step of separately measuring the aroma intensity of each single tobacco note or aroma substance sample comprises the following specific steps:
the aroma intensity OI of each single tobacco aroma or aroma sample was determined by sensory evaluation.
4. The method for predicting the intensity of aroma substances in tobacco according to claim 3, wherein the measurement of the aroma intensity OI of each single tobacco note or aroma substance sample by a sensory evaluation method specifically comprises:
the sensory group takes 1-butanol as a standard substance, the intensity standard is set as grade 1-12, a reference table of fragrance intensity is constructed, and the fragrance intensity of each sample is sequentially measured;
the average fragrance intensity OI was calculated for each sample.
5. The method for predicting the intensity of the aroma substances in the tobacco according to claim 1, wherein the step of calculating the activity value of each sample according to the measured threshold value of the tobacco aroma or the aroma substances and the sample concentration and calculating the logarithmic value of the activity value of each sample comprises the following steps:
calculating the ratio of the concentration of the tobacco aroma or aroma substances in each sample to the corresponding threshold value, and calculating the activity value OAV of each sample;
and calculating the natural logarithm of the activity value OAV of each sample to obtain the logarithm value lnOAV of the activity value of each sample.
6. The method for predicting the intensity of the aroma substances in the tobacco according to claim 1, wherein the linear fitting is performed on the intensity of the aroma of each sample with different concentrations and the corresponding logarithm of the activity value of the sample for each tobacco aroma or aroma substance to obtain a linear model of the intensity of the aroma and the logarithm of the activity value of the aroma of different tobacco aroma or aroma substances, and specifically comprises the following steps:
for each tobacco aroma or aroma substance, taking the aroma intensity value of each sample with different concentrations as a vertical coordinate, taking the logarithmic value of the activity value of the sample under the corresponding concentration as a horizontal coordinate, and performing linear fitting by utilizing origin8.0 software to obtain the logarithmic value of the aroma activity value and a linear model of the aroma intensity value of the different tobacco aroma or aroma substances.
7. The method for predicting the intensity of the aroma substances in the tobacco according to claim 1, wherein a plurality of mixture samples of two tobacco flavors or aroma substances are prepared, and an aroma intensity value of each mixture sample is obtained by selecting a concentration point of each mixture sample to measure the aroma intensity value, and the method specifically comprises the following steps:
respectively preparing mixture samples with different concentrations under the condition that the concentration ratio of the two tobacco aroma substances is respectively consistent with the concentration of a single tobacco aroma substance or the concentration of a single aroma substance in a single tobacco aroma substance or aroma substance sample;
and selecting one mixture sample to perform fragrance intensity value measurement to obtain the fragrance intensity value of the mixture sample.
8. The method for predicting the intensity of the aroma substances in the tobacco according to claim 1, wherein the method for predicting the intensity of the aroma substances in the tobacco is characterized in that an interaction term of two tobacco aroma or aroma substances is calculated according to the aroma intensity value of the mixture sample and the aroma intensity value of the single aroma or aroma substance corresponding to the concentration point of the mixture sample in the presence of the single aroma or aroma substance alone on the basis of a U model so as to determine an expression of the U model, and specifically comprises the following steps:
the interaction term of the two tobacco notes or aroma substances is calculated by the following formula,
wherein cos alpha represents the interaction term of two tobacco notes or aroma substances, OIabRepresenting the intensity value of the aroma of a sample of the mixture, OIaRepresenting the intensity value of the aroma of the first aroma or fragrant substance corresponding to the concentration point of the sample mixture, OIbThe aroma intensity value of the second aroma or aroma substance corresponding to the concentration point of the mixture sample is represented;
substituting the interaction term cos alpha of the two tobacco aroma or aroma substances into a calculation formula of a U model:
9. the method for predicting the intensity of the aroma substances in the tobacco according to claim 1, wherein the predicting the total aroma intensity of the two tobacco notes or the aroma substances after mixing according to the concentrations of the two tobacco notes or the aroma substances in the unknown sample based on the linear model and the U model specifically comprises:
respectively substituting the concentrations of two tobacco aroma or aroma substances in the unknown sample into corresponding linear models to obtain the aroma intensity value of a single tobacco aroma or aroma substance in the unknown sample;
and respectively substituting the aroma intensity values of the single tobacco aroma or aroma substances in the unknown sample into the U model to obtain the total aroma intensity after the two tobacco aroma or aroma substances are mixed.
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| CN115444163A (en) * | 2022-09-26 | 2022-12-09 | 广西中烟工业有限责任公司 | Oriented use method of fruit sweet essence based on ester spice smoke transfer behavior |
| CN115444163B (en) * | 2022-09-26 | 2023-09-08 | 广西中烟工业有限责任公司 | Directional use method of fruit sweet essence based on smoke transfer behavior of ester spice |
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