CN112362610A - Method for detecting distribution uniformity of formula cut tobacco in thin cigarette - Google Patents
Method for detecting distribution uniformity of formula cut tobacco in thin cigarette Download PDFInfo
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- 241000208125 Nicotiana Species 0.000 title claims abstract description 184
- 235000002637 Nicotiana tabacum Nutrition 0.000 title claims abstract description 184
- 235000019504 cigarettes Nutrition 0.000 title claims abstract description 183
- 238000009826 distribution Methods 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 63
- 239000002585 base Substances 0.000 claims abstract description 44
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 33
- 239000003513 alkali Substances 0.000 claims abstract description 15
- 238000005520 cutting process Methods 0.000 claims abstract description 8
- 239000000779 smoke Substances 0.000 claims abstract description 4
- 239000000843 powder Substances 0.000 claims description 24
- 238000012353 t test Methods 0.000 claims description 17
- SNICXCGAKADSCV-JTQLQIEISA-N (-)-Nicotine Chemical compound CN1CCC[C@H]1C1=CC=CN=C1 SNICXCGAKADSCV-JTQLQIEISA-N 0.000 claims description 12
- 229960002715 nicotine Drugs 0.000 claims description 12
- SNICXCGAKADSCV-UHFFFAOYSA-N nicotine Natural products CN1CCCC1C1=CC=CN=C1 SNICXCGAKADSCV-UHFFFAOYSA-N 0.000 claims description 12
- 238000005070 sampling Methods 0.000 claims description 9
- 238000010998 test method Methods 0.000 claims description 9
- 239000002184 metal Substances 0.000 claims description 7
- 238000012360 testing method Methods 0.000 claims description 7
- 239000000126 substance Substances 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 abstract description 4
- 238000009827 uniform distribution Methods 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000003595 spectral effect Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000003825 pressing Methods 0.000 description 3
- 238000005096 rolling process Methods 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 238000001134 F-test Methods 0.000 description 1
- 238000000692 Student's t-test Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 239000004570 mortar (masonry) Substances 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000003892 spreading Methods 0.000 description 1
- 238000000551 statistical hypothesis test Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses a method for detecting the distribution uniformity of cut tobacco in a formula in a thin cigarette, which comprises the following steps: segmenting a plurality of fine tobacco smoke; separating the cigarette paper and the tobacco shreds of each segmented cigarette; collecting cut tobacco of all the corresponding sections of the fine cigarette to obtain a plurality of section sample cut tobacco; collecting near infrared spectrum data of tobacco shreds of each segmented sample; obtaining a sugar-base ratio based on near infrared spectrum data; and judging the distribution uniformity of the cut tobacco in the formula of the fine cigarettes in the axial direction of the cigarettes according to the sugar-alkali ratio. The method for detecting the distribution uniformity of the cut tobacco in the formula in the thin cigarette comprises the steps of cutting a cigarette and obtaining near infrared spectrum data of segmented sample cut tobacco, obtaining the sugar-base ratio of each segmented sample cut tobacco, judging the distribution uniformity of the cut tobacco in the cigarette axial direction based on the sugar-base ratio, providing an analysis method for improving the uniform distribution of the cut tobacco in the cigarette axial direction, and laying a foundation for improving the quality stability of the rolled thin cigarette.
Description
Technical Field
The invention relates to the technical field of quality detection and evaluation of cigarette products, in particular to a method for detecting distribution uniformity of cut tobaccos in a formula in a fine cigarette.
Background
Because the manufacturing specification of the fine cigarette is different from that of the conventional cigarette, the problems of high consumption, poor quality stability, low production efficiency and the like occur in the manufacturing process of the fine cigarette, and the improvement of the manufacturing quality and the stability of the fine cigarette is always an important problem generally concerned by the industry. The research on the fine cigarettes at home and abroad is mostly focused on the aspects of the reconstruction of cigarette equipment and the improvement of detection instruments, the research on the quality of the fine cigarettes is less, and particularly, the research on the quality control technology of the fine cigarette rolling still has great promotion space.
As the volume of the fine cigarette is smaller and the amount of the tobacco shreds contained in a single cigarette is less, compared with the conventional cigarette, the distribution nonuniformity and the like of the tobacco shreds in the axial direction of the cigarette are easier to be superposed and amplified in the rolling process of the fine cigarette, so that the great fluctuation of the cigarette resistance, tar and sensory quality is caused. The uniformity of the formula tobacco shreds of the fine cigarettes in the axial distribution of the cigarettes directly influences the quality stability of the fine cigarette products. The uniformity information of the cut tobacco in the axial distribution of the cigarette cannot be truly reflected only by the detection of the density of the cigarette, and no method is used for detecting the uniformity of the cut tobacco in the axial distribution of the cigarette.
Therefore, a method for detecting the distribution uniformity of the cut tobacco in the tobacco shreds in the thin cigarette is needed.
Disclosure of Invention
The invention aims to provide a method for detecting the distribution uniformity of cut tobacco in a slim cigarette, which aims to solve the problems in the prior art and can provide an analysis method for improving the uniform distribution of the cut tobacco in the slim cigarette in the axial direction of the cigarette.
The invention provides a method for detecting the distribution uniformity of cut tobacco in a formula in a thin cigarette, which comprises the following steps:
segmenting a plurality of fine tobacco smoke;
separating the cigarette paper and the tobacco shreds of each segmented cigarette;
collecting cut tobacco of all the corresponding sections of the fine cigarette to obtain a plurality of section sample cut tobacco;
collecting near infrared spectrum data of the tobacco shreds of each segmented sample;
obtaining the sugar-base ratio of the tobacco shreds of each segmented sample based on the near infrared spectrum data of the tobacco shreds of each segmented sample;
and judging the distribution uniformity of the fine cigarette formula tobacco shreds in the axial direction of the cigarette according to the sugar-base ratio of each segmented sample tobacco shred.
The method for detecting the distribution uniformity of the cut tobaccos in the fine cigarette is preferably implemented by segmenting a plurality of fine cigarette cigarettes, and specifically comprises the following steps:
uniformly cutting each fine cigarette into a plurality of sections, wherein the number of the sections of each fine cigarette is 5-10, and the total number of the fine cigarettes subjected to cutting is not less than 20.
The method for detecting the distribution uniformity of the cut tobacco in the thin cigarette, preferably, the collecting the near infrared spectrum data of the cut tobacco of each segmented sample specifically comprises:
grinding the tobacco shreds of each sectional sample into powder to obtain tobacco shred powder of each sectional sample;
and collecting the near infrared spectrum data of the tobacco shred powder of each segmented sample by using a near infrared spectrometer integrating sphere diffuse reflection sampling system.
The method for detecting the distribution uniformity of the cut tobacco in the thin cigarette preferably includes the following steps:
flatly paving the segmented sample tobacco shred powder at the bottom of a sample cup of a rotating table;
placing a metal weight on the segmented sample tobacco shred powder;
and repeatedly loading each sample tobacco shred powder for many times, and acquiring a plurality of pieces of near infrared spectrum data.
The method for detecting the distribution uniformity of the cut tobacco in the formula in the thin cigarette is characterized in that the weight of the metal weight is 15g-30g, and the sampling number of each sample cut tobacco powder is not less than five times.
The method for detecting distribution uniformity of cut tobacco in formula in fine cigarette, preferably, the obtaining of the sugar-base ratio of each cut tobacco of the segmented samples based on the near infrared spectrum data of each cut tobacco of the segmented samples includes:
substituting the near infrared spectrum data of the tobacco shreds of each segmented sample into a near infrared model of general chemical component total sugar of tobacco to obtain the total sugar data of the tobacco shreds of each segmented sample;
substituting the near infrared spectrum data of the tobacco shreds of each segmented sample into a near infrared model of conventional chemical components of the tobacco, so as to obtain the nicotine data of the tobacco shreds of each segmented sample;
and obtaining the sugar-base ratio of the cut tobacco of each segmented sample according to the total sugar data and the nicotine data.
The method for detecting distribution uniformity of cut tobacco in fine cigarette, wherein preferably, obtaining the sugar-base ratio of each segmented sample cut tobacco according to the total sugar data and the nicotine data, comprises:
and calculating the ratio of the total sugar data to the nicotine data to obtain the sugar-base ratio of the tobacco shreds of each segmented sample.
The method for detecting the distribution uniformity of the cut tobacco in the thin cigarette, wherein preferably, the step of judging the distribution uniformity of the cut tobacco in the thin cigarette in the axial direction of the cigarette according to the sugar-base ratio of each segmented sample cut tobacco, comprises the following steps:
and based on the sugar-base ratio of the cut tobacco of each segmented sample, judging the distribution uniformity of the cut tobacco of the fine cigarette formula in the axial direction of the cigarette by using a statistical hypothesis testing method.
The method for detecting distribution uniformity of cut tobacco in fine cigarette, as described above, preferably, the method for determining distribution uniformity of cut tobacco in fine cigarette in cigarette axial direction by using statistical hypothesis test method based on sugar-base ratio of each segmented sample cut tobacco, specifically includes:
judging whether the sugar-base ratio variance in the cigarette segments and among the cigarette segments has obvious difference by adopting an F test method;
if the sugar-base ratio variance judged by the F test method has obvious difference, judging that the tobacco shreds in the thin cigarette formula are not uniformly distributed in the axial direction of the cigarette;
and if the sugar-alkali ratio variance judged by the F test method has no obvious difference, judging the distribution uniformity of the cut tobacco of the thin cigarette formula in the axial direction of the cigarette by a same variance t test method.
The method for detecting the distribution uniformity of the cut tobacco in the slim cigarette comprises the following steps of:
judging whether the sugar-base ratio in the cigarette segment and between the cigarette segments has obvious difference by adopting a homovariance t test method;
if the sugar-base ratios judged by the homovariance t test method have obvious differences, judging that the distribution of the cut tobacco of the thin cigarette formula in the axial direction of the cigarette is not uniform;
and if the sugar-base ratios judged by the homovariance t test method have no obvious difference, judging that the distribution of the fine cigarette formula tobacco shreds in the cigarette axial direction is uniform.
The invention provides a method for detecting the distribution uniformity of cut tobacco in a fine cigarette, which is characterized by cutting cigarette branches and obtaining near infrared spectrum data of segmented sample cut tobacco, thus obtaining the sugar-base ratio of each segmented sample cut tobacco, judging the distribution uniformity of the fine cigarette cut tobacco in the axial direction of the cigarette based on the sugar-base ratio, providing an analysis method for improving the uniform distribution of the fine cigarette cut tobacco in the axial direction of the cigarette, and laying a foundation for improving the quality stability of the rolled fine cigarette.
Drawings
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 flowchart of an embodiment of a method for detecting distribution uniformity of cut tobacco in a thin cigarette according to the present 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 should be construed as merely illustrative, and not limiting, unless otherwise specified.
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 and 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, the method for detecting the distribution uniformity of cut tobacco in a thin cigarette provided by this embodiment specifically includes the following steps in an actual implementation process:
and step S1, segmenting the plurality of fine cigarette smoke.
In an embodiment of the method for detecting distribution uniformity of cut tobaccos in a thin cigarette, in the step S1 may specifically include:
uniformly cutting each fine cigarette into a plurality of sections, wherein the number M of the sections of each fine cigarette is 5-10, and the total number N of the fine cigarettes subjected to cutting is not less than 20.
In the specific implementation, the cigarettes of each fine cigarette can be obtained by a random drawing method, each cigarette is uniformly cut by using tools such as scissors, and each segmented cigarette is marked as Xij, wherein i represents the ith cigarette, j represents the jth segmented section counted from the section close to the filter tip, i is greater than or equal to 1 and less than or equal to N, and j is greater than or equal to 1 and less than or equal to M.
And step S2, separating the cigarette paper and the tobacco shreds of each segmented cigarette.
In particular, the tobacco may be peeled from the cigarette paper using a separating tool or by hand.
And step S3, collecting the cut tobacco of all the corresponding sections of the fine cigarette to obtain a plurality of section sample cut tobacco.
And (4) intensively collecting the tobacco shreds of the jth subsection of all cigarettes, and recording as a sample Yj.
And step S4, collecting the near infrared spectrum data of the tobacco shreds of each segmented sample.
In an embodiment of the method for detecting distribution uniformity of cut tobaccos in a thin cigarette, step S4 may specifically include:
and step S41, grinding the tobacco shreds of each sectional sample into powder to obtain the tobacco shred powder of each sectional sample.
The cut tobacco of each segmented sample can be ground into powder by using a grinding tool such as a grinder or a mortar.
And step S42, collecting the near infrared spectrum data of the tobacco shred powder of each segmented sample by using a near infrared spectrometer integrating sphere diffuse reflection sampling system.
In an embodiment of the method for detecting distribution uniformity of cut tobaccos in a thin cigarette, step S42 may specifically include:
and S421, flatly paving the segmented sample tobacco shred powder at the bottom of the sample cup of the rotating table.
And S422, placing a metal weight on the segmented sample tobacco shred powder.
Wherein the weight of the metal weight is 15g-30 g.
And S423, repeatedly loading each sample tobacco shred powder for multiple times, and acquiring multiple pieces of near infrared spectrum data.
Wherein the sampling frequency of each sample tobacco shred powder is not less than five times.
And spreading the tobacco shred powder of each sample Yj on the bottom of the sample cup of the rotary table, and pressing a metal weight of 15g-30 g. And (3) repeatedly loading each sample Yj for 5 times or more, and collecting 5 pieces or more of near infrared spectrum data.
And step S5, obtaining the sugar-base ratio of the tobacco shreds of each segmented sample based on the near infrared spectrum data of the tobacco shreds of each segmented sample.
In an embodiment of the method for detecting distribution uniformity of cut tobaccos in a thin cigarette, step S5 may specifically include:
and step S51, substituting the near infrared spectrum data of the tobacco shreds of each segmented sample into a near infrared model of general chemical component total sugar of tobacco to obtain the total sugar data of the tobacco shreds of each segmented sample.
And step S52, substituting the near infrared spectrum data of the tobacco shreds of each segmented sample into a near infrared model of a conventional chemical component nicotine of tobacco to obtain nicotine data of the tobacco shreds of each segmented sample.
And step S53, obtaining the sugar-base ratio of the tobacco shreds of each segmented sample according to the total sugar data and the nicotine data.
Wherein, step S53 specifically includes: and calculating the ratio of the total sugar data to the nicotine data to obtain the sugar-base ratio of the tobacco shreds of each segmented sample.
And step S6, judging the distribution uniformity of the fine cigarette formula tobacco shreds in the axial direction of the cigarette according to the sugar-base ratio of the tobacco shreds of each segmented sample.
Wherein, step S6 specifically includes: and (3) based on the sugar-base ratio of the cut tobacco of each segmented sample, judging the distribution uniformity of the cut tobacco of the fine cigarette formula in the axial direction of the cigarette by using a statistical hypothesis testing method.
Further, in an embodiment of the method for detecting distribution uniformity of cut tobacco in a slim cigarette, step S6 may specifically include:
step S61, adopting an F test method to judge whether the variance of the sugar-base ratio in the cigarette section and between the cigarette sections has obvious difference;
step S62, if the sugar-alkali ratio variance judged by the F test method has obvious difference, judging that the tobacco shred in the formula of the fine cigarette is unevenly distributed in the axial direction of the cigarette;
and step S63, if the sugar-alkali ratio variance judged by the F test method has no obvious difference, judging the distribution uniformity of the cut tobacco of the thin cigarette formula in the axial direction of the cigarette by a same variance t test method.
Further, in an embodiment of the method for detecting distribution uniformity of cut tobacco in a thin cigarette, in step S63, the method for determining distribution uniformity of cut tobacco in the cigarette axial direction by using a variance t test method specifically includes:
step S631, judging whether the sugar-alkali ratios in the cigarette segments and among the cigarette segments have obvious differences by adopting a homovariance t test method;
step S632, if the sugar-alkali ratios judged by the homovariance t test method have obvious differences, judging that the distribution of the fine cigarette formula tobacco shreds in the axial direction of the cigarettes is not uniform;
and step S633, if the sugar-alkali ratio judged by the homovariance t test method has no obvious difference, judging that the distribution of the fine cigarette formula tobacco shreds in the cigarette axial direction is uniform.
In one embodiment of the invention, 30 fine cigarette samples are randomly extracted, each cigarette is divided into 6 sections, the cut tobacco of each cigarette is stripped in a subsection mode, the cut tobacco of the corresponding cigarette of 30 cigarettes is combined to obtain 6 samples which are respectively marked as Y1、Y2、Y3、Y4、Y5、Y6。
Putting a Y1 sample in a sample cup of a near-infrared spectrometer, pressing a weight with the weight of 20g, putting the sample cup on a rotating table, and collecting near-infrared spectrum data of the sample cup by adopting an integrating sphere diffuse reflection sampling system, wherein the resolution is 8cm-1Scanning times of 64 times, spectral range of 4000-10000cm-1After the collection is finished, the sample is reloaded, the near infrared spectrum is repeated for 5 times, and 5 spectrums are obtained and recorded as N11、N12、N13、N14、N15Substituting the spectral data into near infrared model of total sugar and total alkali to obtain total sugar and total alkali data, calculating sugar-alkali ratio, and recording as RA11、RA12、RA13、RA14、RA15. In the same way, Y2、Y3、Y4、Y5、 Y6The samples were analogized, and the data of the sugar-base ratio of the samples were obtained as shown in Table 1.
TABLE 1 sugar to base ratio data for the cut samples
The results of the F-test between the segments of the sample are shown in table 2, and there is no significant difference in variance between the segments (P ═ 0.496> 0.05). Therefore, a co-variance t-test method is required for further judgment.
TABLE 2 results of the F test between fractions
The homovariance t test result of the sample is shown in table 3, the difference among all the sections is not obvious (P is more than 0.05), and the axial distribution of the cut tobacco of the formula of the fine cigarette sample is judged to be uniform.
TABLE 3 results of the covariance t test
In another embodiment of the invention, 25 fine cigarette samples are randomly extracted, each cigarette is divided into 5 sections, the cut tobacco of each cigarette is stripped in a subsection mode, the cut tobacco of the corresponding cigarette of 25 cigarettes is combined, and five samples are obtained and are respectively marked as Y1、Y2、Y3、Y4、Y5。
Putting a Y1 sample in a sample cup of a near-infrared spectrometer, pressing a weight with the weight of 20g, putting the sample cup on a rotating table, and collecting near-infrared spectrum data of the sample cup by adopting an integrating sphere diffuse reflection sampling system, wherein the resolution is 8cm-1Scanning times of 64 times, spectral range of 4000-10000cm-1After the collection is finished, the sample is reloaded, the near infrared spectrum is repeated for 5 times, and 5 spectrums are obtained and recorded as N11、N12、N13、N14、N15Substituting the spectral data into near infrared model of total sugar and total alkali to obtain total sugar and total alkali data, calculating sugar-alkali ratio, and recording as RA11、RA12、RA13、RA14、RA15. In the same way, Y2、Y3、Y4、Y5The samples were analogized and the data on the ratio of sugar to base obtained are shown in Table 4.
TABLE 4 sugar to alkali ratio data for the cut samples
The results of the F test among the segments of the sample are shown in the table 5, the variances among the segments are obviously different (P is 0.001<0.05), and the non-uniformity of the cut tobacco in the formula of the fine cigarette sample in the axial distribution of the cigarette is judged.
TABLE 5 results of the intersegment F test
According to the method for detecting the distribution uniformity of the cut tobacco in the thin cigarette, the cigarette is cut, the near infrared spectrum data of the segmented sample cut tobacco is obtained, the sugar-base ratio of each segmented sample cut tobacco is obtained, the distribution uniformity of the cut tobacco in the axial direction of the cigarette is judged based on the sugar-base ratio, the uniformity of the cut tobacco in the axial direction of the cigarette can be evaluated, an analysis method is provided for improving the uniform distribution of the cut tobacco in the axial direction of the cigarette, and a foundation is laid for improving the quality stability of the thin cigarette.
Thus, various embodiments of the present disclosure have been described in detail. Some details 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 illustration, 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 (10)
1. A method for detecting the distribution uniformity of cut tobacco in a formula in a fine cigarette is characterized by comprising the following steps:
segmenting a plurality of fine tobacco smoke;
separating the cigarette paper and the tobacco shreds of each segmented cigarette;
collecting cut tobacco of all the corresponding sections of the fine cigarette to obtain a plurality of section sample cut tobacco;
collecting near infrared spectrum data of the tobacco shreds of each segmented sample;
obtaining the sugar-base ratio of the tobacco shreds of each segmented sample based on the near infrared spectrum data of the tobacco shreds of each segmented sample;
and judging the distribution uniformity of the fine cigarette formula tobacco shreds in the axial direction of the cigarette according to the sugar-base ratio of each segmented sample tobacco shred.
2. The method for detecting the distribution uniformity of the cut tobaccos in the fine cigarette according to claim 1, wherein the step of segmenting the plurality of fine cigarette cigarettes specifically comprises the steps of:
uniformly cutting each fine cigarette into a plurality of sections, wherein the number of the sections of each fine cigarette is 5-10, and the total number of the fine cigarettes subjected to cutting is not less than 20.
3. The method for detecting the distribution uniformity of cut tobacco in fine cigarette according to claim 1, wherein the collecting of the near infrared spectrum data of each segmented sample cut tobacco specifically comprises:
grinding the tobacco shreds of each sectional sample into powder to obtain tobacco shred powder of each sectional sample;
and collecting the near infrared spectrum data of the tobacco shred powder of each segmented sample by using a near infrared spectrometer integrating sphere diffuse reflection sampling system.
4. The method for detecting the distribution uniformity of the cut tobacco in the cut tobacco of the slim cigarette according to claim 3, wherein the near infrared spectrum data of the cut tobacco powder of each segmented sample is collected by using a near infrared spectrometer integrating sphere diffuse reflection sampling system, and the method specifically comprises the following steps:
flatly paving the segmented sample tobacco shred powder at the bottom of a sample cup of a rotating table;
placing a metal weight on the segmented sample tobacco shred powder;
and repeatedly loading each sample tobacco shred powder for many times, and acquiring a plurality of pieces of near infrared spectrum data.
5. The method for detecting the distribution uniformity of the cut tobacco in the slim cigarette according to claim 4, wherein the weight of the metal weight is 15g-30g, and the sampling frequency of each sample cut tobacco powder is not less than five times.
6. The method for detecting the distribution uniformity of cut tobacco in fine cigarette according to claim 1, wherein the step of obtaining the sugar-base ratio of each segmented sample cut tobacco based on the near infrared spectrum data of each segmented sample cut tobacco specifically comprises the following steps:
substituting the near infrared spectrum data of the tobacco shreds of each segmented sample into a near infrared model of general chemical component total sugar of tobacco to obtain the total sugar data of the tobacco shreds of each segmented sample;
substituting the near infrared spectrum data of the tobacco shreds of each segmented sample into a near infrared model of conventional chemical components of the tobacco, so as to obtain the nicotine data of the tobacco shreds of each segmented sample;
and obtaining the sugar-base ratio of the cut tobacco of each segmented sample according to the total sugar data and the nicotine data.
7. The method for detecting the distribution uniformity of the cut tobacco in the cut tobacco of the slim cigarette according to claim 6, wherein the step of obtaining the sugar-base ratio of each cut tobacco of the segmented samples according to the total sugar data and the nicotine data comprises the following steps:
and calculating the ratio of the total sugar data to the nicotine data to obtain the sugar-base ratio of the tobacco shreds of each segmented sample.
8. The method for detecting the distribution uniformity of the cut tobacco in the slim cigarette according to claim 1, wherein the step of judging the distribution uniformity of the cut tobacco in the slim cigarette in the axial direction of the cigarette according to the sugar-base ratio of each segmented sample cut tobacco comprises the following steps:
and based on the sugar-base ratio of the cut tobacco of each segmented sample, judging the distribution uniformity of the cut tobacco of the fine cigarette formula in the axial direction of the cigarette by using a statistical hypothesis testing method.
9. The method for detecting the distribution uniformity of the cut tobacco in the slim cigarette according to claim 8, wherein the method for judging the distribution uniformity of the cut tobacco in the slim cigarette in the axial direction of the cigarette by using a statistical hypothesis testing method based on the sugar-base ratio of each of the segmented sample cut tobacco specifically comprises:
judging whether the sugar-base ratio variance in the cigarette segments and among the cigarette segments has obvious difference by adopting an F test method;
if the sugar-base ratio variance judged by the F test method has obvious difference, judging that the tobacco shreds in the fine cigarette formula are not uniformly distributed in the axial direction of the cigarette;
and if the sugar-alkali ratio variance judged by the F test method has no obvious difference, judging the distribution uniformity of the cut tobacco of the thin cigarette formula in the axial direction of the cigarette by a same variance t test method.
10. The method for detecting the distribution uniformity of cut tobaccos in a slim cigarette according to claim 9, wherein the method for detecting the distribution uniformity of the cut tobaccos in the slim cigarette in the axial direction of the cigarette is used for judging the distribution uniformity of the cut tobaccos in the slim cigarette by a homovariance t test method, and specifically comprises the following steps:
judging whether the sugar-base ratio in the cigarette segment and between the cigarette segments has obvious difference by adopting a homovariance t test method;
if the sugar-base ratios judged by the homovariance t test method have obvious differences, judging that the distribution of the fine cigarette formula tobacco shreds in the cigarette axial direction is not uniform;
and if the sugar-base ratios judged by the homovariance t test method have no obvious difference, judging that the distribution of the fine cigarette formula tobacco shreds in the cigarette axial direction is uniform.
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