CN108007858B - Detection method and evaluation method for quality and structure characteristics of tobacco leaves - Google Patents
Detection method and evaluation method for quality and structure characteristics of tobacco leaves Download PDFInfo
- Publication number
- CN108007858B CN108007858B CN201711154489.8A CN201711154489A CN108007858B CN 108007858 B CN108007858 B CN 108007858B CN 201711154489 A CN201711154489 A CN 201711154489A CN 108007858 B CN108007858 B CN 108007858B
- Authority
- CN
- China
- Prior art keywords
- tobacco
- tobacco leaves
- texture
- quality
- elasticity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N19/00—Investigating materials by mechanical methods
Abstract
The invention relates to the field of tobacco quality detection, in particular to a detection method and an evaluation method for tobacco quality and structure characteristics. The detection method comprises the steps of utilizing a texture analyzer to measure the texture characteristics of the tobacco leaves by a TPA classical method and reading the elasticity and the toughness B
1Hardness, recovery. Repeating the operation n-1 times, and recording the data of each time; and averaging the n times of data measured by the texture analyzer to obtain the elasticity, toughness, hardness and resilience of the tobacco leaves. The method can quickly and accurately determine the influence of the acting force in the longitudinal direction and the vertical direction of the tobacco on the texture characteristics of the tobacco, so that the research on the influence of the acting force in various directions on the tobacco processing and the quality of the tobacco in the tobacco processing process tends to be more complete, and the method is undoubtedly also a beneficial supplement for the research on the physical properties of the tobacco leaves in the tobacco industry. Has profound significance for improving the overall quality of tobacco and cigarette products in China.
Description
Technical Field
The invention relates to the field of tobacco quality detection, in particular to a detection method and an evaluation method for tobacco quality and structure characteristics.
Background
The tobacco leaves are subjected to a plurality of mechanical actions in the processing process, such as threshing and stem removing of a threshing and redrying production line, shredding, loosening and air separation conveying on a shred production line, and loosening of tobacco shreds on a cigarette production line; the cigarettes are severely compressed on the cigarette splicer and the packaging machine; the friction between the vibration and the pipe wall during the conveying process, and the like. The series of processing processes require that the tobacco leaves or the tobacco shreds have certain mechanical properties, so that the damage can be reduced in the processing process, and the utilization rate of raw materials and the product quality are improved.
The mechanical properties of tobacco mainly comprise toughness, elasticity, filling property and the like. Research indicates that the toughness of the tobacco is the comprehensive reflection of the processing performance of the tobacco, and the toughness comprises measurement indexes such as tensile strength, elongation and crushing resistance, namely to a certain extent, the higher the tensile strength, elongation and crushing resistance are, the stronger the toughness of the tobacco is reflected, and the better the processing performance is. The elasticity of the tobacco leaves or the tobacco shreds refers to the property that the tobacco shreds can deform under the action of external force and can recover to the original shape after the external force is removed. It has a very close relation with the oil content of tobacco shreds. Generally, the tobacco shreds with enough oil have strong elasticity and good quality, otherwise, the tobacco shreds are poor in quality. The elasticity of the tobacco leaves or the tobacco shreds can reflect the quality of the tobacco shreds, the toughness can reflect the processing performance of the tobacco shreds, the tobacco leaves or the tobacco shreds with good elasticity generally have good processing performance and are less in broken pieces, and the uniformity of the tobacco leaves or the tobacco shreds is good, so that the quality of finished cigarette products can be improved.
In the previous researches, the longitudinal extension acting force on the tobacco leaves is mostly researched, and the acting force in the vertical direction of the tobacco leaves is not researched in detail. The elasticity of the tobacco shreds is determined by utilizing the texture analyzer, the research is carried out from the direction of vertical acting force, the elasticity of tobacco leaves or the tobacco shreds is determined, the elasticity of the different tobacco leaves or the tobacco shreds is expressed in a data form, the elasticity of the different tobacco leaves or the tobacco shreds is defined macroscopically, the beneficial supplement is undoubtedly carried out on the aspect of the physical properties of the tobacco leaves in the tobacco industry, the research is added, the external force condition borne in the tobacco leaf processing process can be more comprehensively known, and the processing quality and the processing level are more favorably improved.
Mechanical properties of the texture characteristics of tobacco: the texture characteristics are generated in the process of applying force to the tobacco, so that the mechanical parameters related to the texture characteristics of the tobacco can be found out through related analysis after mechanical experiments are carried out on the tobacco. Generally, the interior of the tobacco leaves always has a plurality of space grid structures (fence tissues or sponge tissues) or cells, and the grids are supported by layers of thick or thin walls to form an integral shape. In a sense, the cells are completely closed and partially open, and in the case of tobacco, the cells are filled with air. The small air-filled closed or partially open cells form a whole supported by layers of thick or thin walls. Therefore, under the action of external force, the tissues can resist the external force due to the relationship of elasticity and strength, so that the internal structure of the product can be kept intact. With the increase of the external force, the elastic limit of the outer wall is exceeded, the counteraction of the wall disappears, the meshes are crushed one by one microscopically, and with the increase of the external force, the product is crushed macroscopically. During the action of external force, the partially open grids are firstly broken, and the completely closed grids are also crushed by the external force along with the increase of the external force, so that a very fragile sound is generated. When external force is fixed, although the space grid structure in the product can be damaged, the whole product can not be broken and can be recovered to a certain extent, because the tobacco has better toughness and elasticity. On the basis, the external force is continuously increased, the thicker sponge tissues can be damaged, the product is split into a plurality of small parts, the original state can not be recovered, and the product structure is thoroughly damaged. All studies have shown that under the action of external forces, the first to break is the lattice structure inside the product, and then the whole product breaks.
The external force applied by the texture analyzer in measuring the texture characteristics of food (such as biscuits, chips and the like) is just the vertical acting force. Meanwhile, the texture analyzer can also measure the longitudinal extension force, and the tobacco leaf can be subjected to multi-aspect stress research by using one instrument under the same condition, so that the result is more accurate, the operation steps are simplified, the difficulty is reduced, and the future research work is facilitated. The elasticity of the tobacco is also improved from the traditional fuzzy concept of good elasticity and poor elasticity to the evaluation of the elasticity of the tobacco based on specific data.
Disclosure of Invention
The invention provides a detection method and an evaluation method for tobacco texture characteristics, aiming at solving the problems that the verification standard concept of the tobacco mechanical properties is fuzzy and the tobacco properties cannot be accurately determined.
The invention is realized by the following technical scheme: a method for detecting the texture characteristics of tobacco leaves comprises the following steps:
a: placing tobacco leaves to be detected into a constant temperature and humidity box for balancing for at least 48 hours;
b: cutting tobacco leaves into round pieces with the same size by using scissors;
c: measuring the texture characteristics of the tobacco leaf by TPA classical method and reading elasticity A
1Toughness B
1Hardness C
1And recovery property D
1At least one of the data;
d: repeating the operation n-1 times in the step C, and recording the data A of each time
n、B
n、C
n、D
n；
E: and averaging the n times of data measured by the texture analyzer to obtain at least one texture characteristic data of elasticity A, toughness B, hardness C and resilience D of the tobacco leaves.
Preferably, the temperature of the constant temperature and humidity is controlled to be 22 +/-2 ℃, and the humidity is controlled to be 60 +/-0.5%.
As a further improvement of the technical scheme of the detection method, in the step B, before the tobacco leaves are cut into the round pieces with the same size by the scissors, a template with the same size as the round pieces is made by using filter paper, and then the tobacco leaves are cut into the round pieces with the same size according to the template.
As a further improvement of the technical scheme of the detection method, the compression degree of 70 percent or 80 percent is adopted when the texture characteristics of the tobacco leaves are measured.
As a further improvement of the technical scheme of the detection method, the test speed when the quality and structure characteristics of the tobacco leaves are measured is 1.5mm/s, the descending speed of the probe before the test is 1.0mm/s, the return speed of the probe after the test is 1.0mm/s, the data acquisition speed is 200pps, and the pause time of each compression is 10 s.
As a further improvement of the technical scheme of the detection method, the type of the texture analyzer is TA-XTplus.
In addition, the invention provides an evaluation method for the texture characteristics of tobacco leaves, which comprises the following steps:
(1) acquiring at least one of elasticity A, toughness B, hardness C and resilience D of the tobacco leaves by using any one of the detection methods for the texture characteristics of the tobacco leaves;
(2) evaluation of single texture characteristics of tobacco leaves:
① elasticity indexes including upper tobacco leaf 0.65-0.95, middle tobacco leaf over 0.95 and lower tobacco leaf less than 0.65, the tobacco leaf conforming to the elasticity indexes has good elasticity quality and the tobacco leaf not conforming to the elasticity indexes has poor elasticity quality;
② toughness (g s) indexes, wherein the upper tobacco leaf is more than 1.3g s, the middle tobacco leaf is less than more than 1.6g s, and the lower tobacco leaf is 1.3-1.6g s;
③ hardness (g) indexes, wherein the upper tobacco is less than 9000g, the middle tobacco is more than 14000g, and the lower tobacco is 9000-14000g, the tobacco conforming to the hardness index has good hardness and quality, and the tobacco not conforming to the hardness index has poor hardness and quality;
④ the resilience indexes are that the upper tobacco leaf is less than 0.7, the middle tobacco leaf is more than 0.9, and the lower tobacco leaf is between 0.7 and 0.9, the tobacco leaf which accords with the toughness index has good resilience quality, and the tobacco leaf which does not accord with the resilience index has poor resilience quality.
Further, the invention provides a method for evaluating the quality and structure characteristics of tobacco leaves, which comprises the following steps:
⑴ obtaining the texture characteristic data of elasticity A, toughness B, hardness C and resilience D of tobacco leaf by any one of the above detection methods;
⑵ evaluation of the overall texture characteristics of tobacco leaves:
the integral texture characteristics of the tobacco leaves are obtained by adopting the following texture characteristic weighting calculation formula:
M＝0.37*A+0.31*B+0.1*(C*10
-4)+0.22*D
the tobacco leaves with the M value larger than 1 can be judged as better or high-quality tobacco leaves; the tobacco leaves with the M value between 0.7 and 1 can be judged to be of medium quality; a value of M of 0.7 or less is judged to be a tobacco of ordinary or inferior quality.
The invention utilizes a TPA classical evaluation method to evaluate the texture characteristics of tobacco leaves or tobacco shreds. The method can quickly and accurately determine the influence of the acting force in the longitudinal direction and the vertical direction of the tobacco on the texture characteristics of the tobacco, so that the research on the influence of the acting force in various directions on the tobacco processing and the quality of the tobacco in the tobacco processing process tends to be more complete, and the method is undoubtedly also a beneficial supplement for the research on the physical properties of the tobacco leaves in the tobacco industry. Has profound significance for improving the overall quality of tobacco and cigarette products in China.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
A method for detecting the texture characteristics of tobacco leaves comprises the following steps:
a: placing tobacco leaves to be detected into a constant temperature and humidity box for balancing for at least 48 hours;
b: cutting tobacco leaves into round pieces with the same size by using scissors;
c: measuring the texture characteristics of the tobacco leaf by TPA classical method and reading elasticity A
1Toughness B
1Hardness C
1And recovery property D
1At least one of the data;
d: repeating the operation n-1 times in the step C, and recording the data A of each time
n、B
n、C
n、D
n；
E: and averaging the n times of data measured by the texture analyzer to obtain at least one texture characteristic data of elasticity A, toughness B, hardness C and resilience D of the tobacco leaves.
Texture analyzer tpa (texture analyzer), also known as double chew Test, is a mechanical Test developed for sensory evaluation of texture, widely used for instrumental determination of food texture, and bringing great convenience to researchers of food quality. The invention belongs to the field of application in the tobacco industry for the first time in China, researches the physical properties of tobacco, tests the texture characteristics of the tobacco, aims to better serve the tobacco industry and provides reference for the tobacco leaf processing process. The texture analyzer mainly comprises a host, special software, a standby probe and accessories; the measuring part consists of an operating table, a rotating speed controller, a beam, a base and direct current. The structure of the device is generally composed of a mechanical device capable of generating deformation action on a sample, a container for containing the sample and a recording system for recording force, time and deformation rate. The test is carried out around distance (distance), time (time) and force (force) and result analysis is carried out. The texture analyzer mainly reflects the tobacco texture characteristics related to mechanical characteristics, the result has higher sensitivity and objectivity, and accurate quantitative processing can be carried out on the result through the equipped special software, so that the tobacco can be objectively and comprehensively evaluated by quantitative indexes, and the subjective influence of human factors on the tobacco quality evaluation result is avoided.
The method is used for evaluating and analyzing the texture characteristics of the tobacco leaves and the tobacco shreds by a TPA (tobacco placement model) classical evaluation method, finally expressing the texture characteristics in a curve form, analyzing the curve to obtain related data of the texture characteristics, and recording the test curve in a Final mode. The texture property parameters can be explained from a typical TPA test curve:
hardness (Hardness): the TPA curve shows the maximum load at the first compression cycle.
Elasticity (Springiness): the degree to which the sample can recover after the first compression is expressed by the ratio of the recovered height of the sample after the first compression to the amount of compression set at the first compression.
Toughness (toughnesss): the sample is aligned with the probe and fixed on the objective table, the probe moves downwards at a constant speed until the probe touches the surface of the noodle, and the work of breaking the sample is compressed.
Recoverability (Resilience): peaks occurring during the second compression. The degree to which the sample can recover after the first compression is expressed as the ratio of the degree to which the sample recovers after the second compression to the degree of compression of the first compression.
Specifically, the temperature of the constant temperature and humidity is controlled to be 22 +/-2 ℃, and the humidity is controlled to be 60 +/-0.5%.
Further, in the step B, before the tobacco leaves are cut into the round pieces with the same size by the scissors, a template with the same size as the round pieces is made by filter paper, and then the tobacco leaves are cut into the round pieces with the same size according to the template.
The texture analyzer specifically adopted by the invention is a TA-XTplus type texture analyzer. The type texture analyzer is TA-XTplus type and TA-HD physical property analyzer manufactured by Stableicro systems Inc. of UK. Under the control of a computer program, the cross arms which can be provided with different sensors move up and down at a set speed, when the sensors contact with a sample to be measured and reach a set trigger stress (trigger force) or trigger depth, the computer starts to record at a set recording speed (data information quantity acquired in unit time), and simultaneously draws a curve of the stress of the sensors and the moving time or distance of the sensors on a display. Because the sensor moves at a constant speed at a set speed, the abscissa time and distance can be automatically converted, and the relationship between the stress and the strain of the measured object can be further calculated. Because the texture analyzer can be provided with a plurality of sensors, the texture analyzer can detect a plurality of mechanical performance parameters and sensory evaluation parameters, including action modes such as stretching, compression, shearing, torsion and the like.
When the texture analyzer is used, the motion trail of the probe in the test is as follows: the probe is pressed to a test sample at a speed before the test from a starting position, the sample is compressed for a certain distance at the test speed after being contacted with the sample, then the probe returns to a Trigger point (Trigger) of the probe and the sample, the probe continues to be compressed for the same distance downwards after staying for a period of time, and then the probe returns to the initial position before the test at the speed after the test.
According to the physical characteristics of tobacco, the temperature and humidity in the production and processing process, the mechanical stress condition on a production line and the actual condition in a laboratory, a p/35 type cylindrical probe is determined to be used, the stress in the production and processing process is simulated, 70% or 80% compression degree is selected for testing, 1.5mm/s is selected as the testing speed in combination with the speed of acting force in online processing, the descending speed of the probe before testing is 1.0mm/s, the return speed of the probe after testing is 1.0mm/s, the data acquisition speed is 200pps, and the pause time of two times of compression is 10 s. For "medium", "slightly thicker" and "thick" tobacco leaves a degree of compression of 80% is used, and for "thin" and "slightly thinner" tobacco leaves a degree of compression of 70% is used. Under different ecological environments, the thickness difference of the tobacco leaves reaches an extremely obvious level. Therefore, the grading personnel in different areas have different judgment standards for the thickness grade of the tobacco leaves. Therefore, in the implementation, a person skilled in the art can classify the thickness of the tobacco leaves in a specific area, and then test and determine the corresponding compression degree.
The invention utilizes a texture analyzer to determine the texture characteristics of tobacco leaves or tobacco shreds, researches the acting force in the vertical direction, determines the four indexes of hardness, elasticity, toughness and resilience of the tobacco leaves or the tobacco shreds, and expresses the four indexes in the form of data.
The invention takes the use of the texture analyzer as a detection standard, and comprises a probe and a probe head which are carried by the texture analyzer, and a perfect detection system, so that the method for detecting the texture characteristics of the tobacco leaves by using the probe and the probe head on the basis of the use of the texture analyzer falls into the protection scope of the invention.
The invention obtains the data standard of the tobacco texture characteristics through a large number of tests, and provides an evaluation method for the tobacco texture characteristics, which comprises the following steps:
(1) acquiring at least one of elasticity A, toughness B, hardness C and resilience D of the tobacco leaves by using any one of the detection methods for the texture characteristics of the tobacco leaves;
(2) evaluation of single texture characteristics of tobacco leaves:
① elasticity indexes including upper tobacco leaf 0.65-0.95, middle tobacco leaf over 0.95 and lower tobacco leaf less than 0.65, the tobacco leaf conforming to the elasticity indexes has good elasticity quality and the tobacco leaf not conforming to the elasticity indexes has poor elasticity quality;
② toughness (g s) indexes, wherein the upper tobacco leaf is more than 1.3g s, the middle tobacco leaf is less than more than 1.6g s, and the lower tobacco leaf is 1.3-1.6g s;
③ hardness (g) indexes, wherein the upper tobacco is less than 9000g, the middle tobacco is more than 14000g, and the lower tobacco is 9000-14000g, the tobacco conforming to the hardness index has good hardness and quality, and the tobacco not conforming to the hardness index has poor hardness and quality;
④ the resilience indexes are that the upper tobacco leaf is less than 0.7, the middle tobacco leaf is more than 0.9, and the lower tobacco leaf is between 0.7 and 0.9, the tobacco leaf which accords with the toughness index has good resilience quality, and the tobacco leaf which does not accord with the resilience index has poor resilience quality.
In the detection method, any one or more of the texture characteristics of the tobacco leaves can be detected. Therefore, any one or more of the texture characteristics of the tobacco leaves can also be evaluated.
Moreover, the invention provides an evaluation method for the quality and structure characteristics of tobacco leaves, which comprises the following steps:
⑴ obtaining the texture characteristic data of elasticity A, toughness B, hardness C and resilience D of tobacco leaf by any one of the above detection methods;
⑵ evaluation of the overall texture characteristics of tobacco leaves:
obtaining the integral texture characteristic M of the tobacco by adopting the following texture characteristic weighting calculation formula:
M＝0.37*A+0.31*B+0.1*(C*10
-4)+0.22*D
the tobacco leaves with the M value larger than 1 can be judged as better or high-quality tobacco leaves; tobacco leaves with M value between 0.7 and 1 (0.7 is not included, but 1 is included) which can be judged to be medium quality; a value of M of 0.7 or less is judged to be a tobacco of ordinary or inferior quality.
According to the M value determined by combining the test with the actual production and processing, the higher the M value of the tobacco leaf texture characteristic is, the better the whole texture characteristic of the tobacco leaf is, the better the processing resistance of the tobacco leaf is, the smaller the production and crushing are, and the better the reasonable utilization of the tobacco leaf is.
The two methods for evaluating the quality and structure characteristics of the tobacco leaves provided by the invention have the significance that the quality of the tobacco leaves can be preliminarily judged according to the quality and structure characteristics of the tobacco leaves, and the method has certain guiding significance for planting and processing the tobacco leaves; the cigarette processing enterprise can also preliminarily judge the expected use condition of a batch of tobacco leaf raw materials according to the quality and structure characteristics of the tobacco leaves and also give preliminary judgment on whether the batch of tobacco leaf raw materials are purchased or not.
The present application is further explained below with reference to specific embodiments.
A method for detecting the texture characteristics of tobacco leaves comprises the following steps:
a: placing tobacco leaves (upper tobacco leaves, grade B3F) to be detected in a certain production place into a constant temperature and humidity box for balancing for at least 48 hours; the temperature of the constant temperature and humidity is controlled to be 22 +/-2 ℃, and the humidity is controlled to be 60 +/-0.5%;
b: preparing a template (a round piece with the length of 2 cm) by using filter paper, and shearing tobacco leaves into round pieces with the same size by using a shear and illumination template;
c: a TA-XTplus type texture analyzer is utilized, wherein a testing probe is a p/35 type cylindrical probe, 80% compression degree is selected for testing, the speed of acting force during online processing is combined, 1.5mm/s is selected as a testing speed, the descending speed of the probe before testing is 1.0mm/s, the return speed of the probe after testing is 1.0mm/s, the data acquisition speed is 200pps, and the pause time of two times of compression is 10 s. Measuring the texture characteristics of the tobacco leaves by TPA classical method, and reading the elasticity A
1Toughness B
1Hardness C
1Data D of recoverability
1Recording the detection value;
d: repeating the operation 6 times, and recording the data A
2∽A
7、B
2∽B
7、C
2∽C
7、D
2∽D
7As shown in the following table;
| elasticity | Toughness (g s) | Hardness (g) | Recovery property | |
| 1 | 0.881 | 1.280 | 7228.401 | 0.643 |
| 2 | 0.867 | 1.215 | 7347.306 | 0.612 |
| 3 | 0.866 | 1.209 | 7099.836 | 0.655 |
| 4 | 0.865 | 1.266 | 7623.234 | 0.668 |
| 5 | 0.882 | 1.279 | 7938.850 | 0.609 |
| 6 | 0.872 | 1.273 | 7102.028 | 0.659 |
| 7 | 0.873 | 1.278 | 7713.290 | 0.631 |
| Mean value of | 0.872 | 1.257 | 7436.135 | 0.640 |
E: and averaging the data of 7 times measured by the texture analyzer to obtain the elasticity A, the toughness B, the hardness C and the resilience D of the tobacco leaves.
According to the evaluation steps of the single texture characteristics of the tobacco leaves, the elasticity A, the toughness B, the hardness C and the resilience D of the tobacco leaves are obtained to accord with single indexes, and the quality is good.
According to the weighting formula, the quality characteristic value (M) of the tobacco leaves is 0.9275, and the tobacco leaves can be judged to be the tobacco leaves with medium quality. Since the weighting formula is obtained by combining the weighting weights in the actual production. Because the tested sample is balanced under the same temperature and humidity, the fluctuation of the test result of the quality structure characteristic of the sample is not large under the condition of small external error, 7 groups of data tested are representative, and more experiments can be carried out, so that the numerical value is more accurate.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (7)
1. A method for evaluating the texture characteristics of tobacco leaves is characterized by comprising the following steps:
(1) the method for detecting the tobacco leaf texture characteristics comprises the following steps of:
a: placing tobacco leaves to be detected into a constant temperature and humidity box for balancing for at least 48 hours;
b: cutting tobacco leaves into round pieces with the same size by using scissors;
c: measuring the texture characteristics of the tobacco leaf by TPA classical method and reading elasticity A
1Toughness B
1Hardness C
1And recovery property D
1At least one of the data;
d: repeating the operation n-1 times in the step C, and recording the data A of each time
n、B
n、C
n、D
n；
E: averaging the n times of data measured by the texture analyzer to obtain at least one texture characteristic data of elasticity A, toughness B, hardness C and resilience D of the tobacco leaf;
(2) evaluation of single texture characteristics of tobacco leaves:
① elasticity indexes including upper tobacco leaf 0.65-0.95, middle tobacco leaf over 0.95 and lower tobacco leaf less than 0.65, the tobacco leaf conforming to the elasticity indexes has good elasticity quality and the tobacco leaf not conforming to the elasticity indexes has poor elasticity quality;
② toughness (g s) indexes, wherein the upper tobacco leaf is more than 1.3g s, the middle tobacco leaf is less than more than 1.6g s, and the lower tobacco leaf is 1.3-1.6g s;
③ hardness (g) indexes, wherein the upper tobacco is less than 9000g, the middle tobacco is more than 14000g, and the lower tobacco is 9000-14000g, the tobacco conforming to the hardness index has good hardness and quality, and the tobacco not conforming to the hardness index has poor hardness and quality;
④ the resilience indexes include that the upper tobacco leaf is less than 0.7, the middle tobacco leaf is more than 0.9 and the lower tobacco leaf is between 0.7 and 0.9, the tobacco leaf conforming to the resilience index has good resilience quality, and the tobacco leaf not conforming to the resilience index has poor resilience quality.
2. A method for evaluating the texture characteristics of tobacco leaves is characterized by comprising the following steps:
⑴ obtaining the texture characteristic data of elasticity A, toughness B, hardness C and resilience D of tobacco leaves by using a detection method for the texture characteristics of tobacco leaves, wherein the detection method for the texture characteristics of tobacco leaves comprises the following steps:
a: placing tobacco leaves to be detected into a constant temperature and humidity box for balancing for at least 48 hours;
b: cutting tobacco leaves into round pieces with the same size by using scissors;
c: measuring the texture characteristics of the tobacco leaf by TPA classical method and reading elasticity A
1Toughness B
1Hardness C
1And recovery property D
1The data of (a);
d: repeating the operation n-1 times in the step C, and recording the data A of each time
n、B
n、C
n、D
n；
E: averaging the n times of data measured by the texture analyzer to obtain texture characteristic data of elasticity A, toughness B, hardness C and resilience D of the tobacco leaves;
⑵ evaluation of the overall texture characteristics of tobacco leaves:
the integral texture characteristics of the tobacco leaves are obtained by adopting the following texture characteristic weighting calculation formula:
M=0.37*A+0.31*B+0.1*(C*10
-4)+0.22*D
the tobacco leaves with the M value larger than 1 can be judged as better or high-quality tobacco leaves; the tobacco leaves with the M value between 0.7 and 1 can be judged to be of medium quality; a value of M of 0.7 or less is judged to be a tobacco of ordinary or inferior quality.
3. The method for evaluating the texture characteristics of tobacco leaves according to claim 1 or 2, wherein the temperature and the humidity of the constant temperature and humidity are controlled to be 22 +/-2 ℃ and the humidity is controlled to be 60 +/-0.5%.
4. The method for evaluating the texture characteristics of tobacco leaves according to claim 3, wherein in the step B, before the tobacco leaves are cut into the circular slices with the same size by using scissors, a template with the same size as the circular slices is made by using filter paper, and then the tobacco leaves are cut into the circular slices with the same size according to the template.
5. The method according to claim 4, wherein the degree of compression is 70% or 80% when determining the texture of the tobacco.
6. The method according to claim 5, wherein the test speed for measuring the texture characteristics of the tobacco leaves is 1.5mm/s, the probe descending speed before the test is 1.0mm/s, the probe returning speed after the test is 1.0mm/s, the data acquisition speed is 200pps, and the pause time of each compression is 10 s.
7. The method for evaluating the texture characteristics of tobacco leaves according to claim 6, wherein the texture analyzer is TA-XTplus in model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711154489.8A CN108007858B (en) | 2017-11-20 | 2017-11-20 | Detection method and evaluation method for quality and structure characteristics of tobacco leaves |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711154489.8A CN108007858B (en) | 2017-11-20 | 2017-11-20 | Detection method and evaluation method for quality and structure characteristics of tobacco leaves |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108007858A CN108007858A (en) | 2018-05-08 |
| CN108007858B true CN108007858B (en) | 2020-02-11 |
Family
ID=62052677
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711154489.8A Active CN108007858B (en) | 2017-11-20 | 2017-11-20 | Detection method and evaluation method for quality and structure characteristics of tobacco leaves |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108007858B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109187881A (en) * | 2018-09-30 | 2019-01-11 | 云南中烟工业有限责任公司 | A kind of mouthful with type smoke-free tobacco product quality characterization method |
| CN110051032A (en) * | 2018-12-27 | 2019-07-26 | 中国烟草总公司郑州烟草研究院 | A kind of threshing machine based on tobacco leaf mechanical characteristic beats roller revolving speed setting method |
| CN110296934A (en) * | 2019-06-28 | 2019-10-01 | 广州市农业科学研究院 | A kind of detection method of cabbage heart stem texture characteristic |
| CN110308045A (en) * | 2019-07-31 | 2019-10-08 | 上海烟草集团有限责任公司 | The measuring method of papermaking-method reconstituted tobaccos pliability |
| CN111735739B (en) * | 2020-08-17 | 2020-12-08 | 江西中医药大学 | Method for detecting medicinal material moistening degree based on water distribution state and texture change |
| CN113092689B (en) * | 2021-04-24 | 2022-12-27 | 河南中烟工业有限责任公司 | Quantitative determination method for tobacco stem penetration degree |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201259482Y (en) * | 2008-08-18 | 2009-06-17 | 郑州嘉德机电科技有限公司 | Pressure head following measurement device for tobacco shred elastic detector |
| CN102589967A (en) * | 2012-01-18 | 2012-07-18 | 中国烟草总公司郑州烟草研究院 | Method for measuring puncture strength of tobacco |
| CN103424295A (en) * | 2013-07-26 | 2013-12-04 | 河南中烟工业有限责任公司 | Tobacco leaf brittleness detection method |
| KR20150138777A (en) * | 2014-06-02 | 2015-12-10 | 한국식품연구원 | Probe device for food texture profile analysis having ball bearing linkare structure |
| CN105533437A (en) * | 2015-12-03 | 2016-05-04 | 华中农业大学 | Non-fried pigskin instant noodle and preparation method |
-
2017
- 2017-11-20 CN CN201711154489.8A patent/CN108007858B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201259482Y (en) * | 2008-08-18 | 2009-06-17 | 郑州嘉德机电科技有限公司 | Pressure head following measurement device for tobacco shred elastic detector |
| CN102589967A (en) * | 2012-01-18 | 2012-07-18 | 中国烟草总公司郑州烟草研究院 | Method for measuring puncture strength of tobacco |
| CN103424295A (en) * | 2013-07-26 | 2013-12-04 | 河南中烟工业有限责任公司 | Tobacco leaf brittleness detection method |
| KR20150138777A (en) * | 2014-06-02 | 2015-12-10 | 한국식품연구원 | Probe device for food texture profile analysis having ball bearing linkare structure |
| CN105533437A (en) * | 2015-12-03 | 2016-05-04 | 华中农业大学 | Non-fried pigskin instant noodle and preparation method |
Non-Patent Citations (1)
| Title |
|---|
| 烤烟密集烘烤过程中烟叶生理和物理特性及细胞超微结构变化;武圣江;《中国优秀硕士学位论文全文数据库 农业科技辑》;20120615(第6期);第14-16页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108007858A (en) | 2018-05-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108007858B (en) | Detection method and evaluation method for quality and structure characteristics of tobacco leaves | |
| CN102062720B (en) | Measuring method for bonding strength of tobacco leaves | |
| Morrison et al. | Ultrasonic technique for non-destructive quality evaluation of oranges | |
| CN100575950C (en) | A kind of predicting method for fruit maturity | |
| CN103645155B (en) | The fast non-destructive detection method of fresh mutton tenderness | |
| CN103424295A (en) | Tobacco leaf brittleness detection method | |
| Lien et al. | Non-destructive impact test for assessment of tomato maturity | |
| CN103163217A (en) | Sound surface wave resonator series detection and detection method | |
| CN103713051B (en) | A kind of modeling method of spherical fruit texture forecast model | |
| CN105301099A (en) | Food crispness detection method | |
| Rivera et al. | Blueberry firmness-A review of the textural and mechanical properties used in quality evaluations | |
| CN104255118A (en) | Rapid lossless testing method based on near infrared spectroscopy technology for paddy rice seed germination percentage | |
| CN113820234B (en) | Detection method for puffed food material structure | |
| Mireei et al. | On-line firmness sensing of dates using a non-destructive impact testing device | |
| Lien et al. | Assessing guava maturity by statistical analyses of dropped fruit impact responses | |
| CN102589967A (en) | Method for measuring puncture strength of tobacco | |
| CN102053137A (en) | Testing device for fermenting and slaking process of dough | |
| CN105158042A (en) | Measurement and representation method for softness of tobacco leaves | |
| Wei et al. | Research on stress wave wood nondestructive testing technology | |
| Wu et al. | Estimation of basic density and modulus of elasticity of Eucalypt clones in Southern China using non-destructive methods | |
| Zhang et al. | Nondestructive measurement of texture of three pear varieties and variety discrimination by the laser Doppler vibrometer method | |
| CN111855800B (en) | Method for rapidly and nondestructively measuring shelf life or optimal edible period of fruit by acoustic vibration | |
| CN111047101A (en) | Method for predicting combustion cone falling head based on cigarette axial density | |
| Camps | Singular approach to penetrometry by preprocessing of digitized force–displacement curves and chemometry: A case study of 12 tomato varieties | |
| Shilei et al. | MECHANICAL MODEL OF CERASUS HUMILIS ESTABLISHED BY UNIAXIAL COMPRESSION PHYSICAL TEST AND VIRTUAL SIMULATION. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |