CN115129012A - Tobacco raw material quality control method - Google Patents
Tobacco raw material quality control method Download PDFInfo
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- CN115129012A CN115129012A CN202210816553.9A CN202210816553A CN115129012A CN 115129012 A CN115129012 A CN 115129012A CN 202210816553 A CN202210816553 A CN 202210816553A CN 115129012 A CN115129012 A CN 115129012A
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- 235000002637 Nicotiana tabacum Nutrition 0.000 title claims abstract description 196
- 239000002994 raw material Substances 0.000 title claims abstract description 51
- 238000003908 quality control method Methods 0.000 title description 15
- 244000061176 Nicotiana tabacum Species 0.000 title description 3
- 241000208125 Nicotiana Species 0.000 claims abstract description 195
- 238000000034 method Methods 0.000 claims abstract description 75
- 238000013441 quality evaluation Methods 0.000 claims abstract description 57
- 238000012545 processing Methods 0.000 claims abstract description 39
- 238000011002 quantification Methods 0.000 claims abstract description 10
- 238000011156 evaluation Methods 0.000 claims abstract description 7
- 238000005070 sampling Methods 0.000 claims abstract description 7
- 238000012216 screening Methods 0.000 claims abstract description 4
- 239000000126 substance Substances 0.000 claims description 44
- 235000000346 sugar Nutrition 0.000 claims description 24
- 239000000463 material Substances 0.000 claims description 22
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 20
- 230000006870 function Effects 0.000 claims description 15
- 230000001953 sensory effect Effects 0.000 claims description 11
- SNICXCGAKADSCV-JTQLQIEISA-N (-)-Nicotine Chemical compound CN1CCC[C@H]1C1=CC=CN=C1 SNICXCGAKADSCV-JTQLQIEISA-N 0.000 claims description 10
- 229960002715 nicotine Drugs 0.000 claims description 10
- SNICXCGAKADSCV-UHFFFAOYSA-N nicotine Natural products CN1CCCC1C1=CC=CN=C1 SNICXCGAKADSCV-UHFFFAOYSA-N 0.000 claims description 10
- 229910052757 nitrogen Inorganic materials 0.000 claims description 10
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 claims description 9
- 239000011591 potassium Substances 0.000 claims description 9
- 229910052700 potassium Inorganic materials 0.000 claims description 9
- 239000000460 chlorine Substances 0.000 claims description 8
- 229910052801 chlorine Inorganic materials 0.000 claims description 8
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 claims description 7
- 238000001303 quality assessment method Methods 0.000 claims description 7
- 238000010606 normalization Methods 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 4
- 206010013911 Dysgeusia Diseases 0.000 claims description 2
- 230000000704 physical effect Effects 0.000 claims description 2
- 239000007789 gas Substances 0.000 claims 1
- 230000007794 irritation Effects 0.000 claims 1
- 239000002585 base Substances 0.000 description 15
- 238000004458 analytical method Methods 0.000 description 9
- 230000000694 effects Effects 0.000 description 7
- 238000004519 manufacturing process Methods 0.000 description 7
- 238000012546 transfer Methods 0.000 description 6
- 235000019504 cigarettes Nutrition 0.000 description 4
- 238000004140 cleaning Methods 0.000 description 4
- 238000001035 drying Methods 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 239000003513 alkali Substances 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 239000003205 fragrance Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 150000008163 sugars Chemical class 0.000 description 2
- VEXZGXHMUGYJMC-UHFFFAOYSA-M Chloride anion Chemical compound [Cl-] VEXZGXHMUGYJMC-UHFFFAOYSA-M 0.000 description 1
- NMLQNVRHVSWEGS-UHFFFAOYSA-N [Cl].[K] Chemical compound [Cl].[K] NMLQNVRHVSWEGS-UHFFFAOYSA-N 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 235000017168 chlorine Nutrition 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 235000007686 potassium Nutrition 0.000 description 1
- 235000019633 pungent taste Nutrition 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
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- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Manufacture Of Tobacco Products (AREA)
Abstract
The invention provides a method for controlling the quality of tobacco raw materials, in particular to a method for controlling the quality of tobacco raw materials, which comprises the following steps: (1) selecting raw tobacco standard samples, allocated tobacco leaves, redried tobacco strips and alcoholized tobacco strip raw materials at an alcoholization high point in the same producing area and grade, and sampling; (2) determining the quality evaluation indexes of the tobacco raw materials; (3) screening the common quality evaluation indexes among the tobacco raw materials, accumulating historical data, and determining the target value and the appropriate range of each quality evaluation index; (4) establishing a tobacco raw material quality quantification method, quantifying each quality evaluation index into the range of [0,1], and calculating to obtain an industrial availability comprehensive index based on the weight occupied by each quality evaluation index; (5) quantifying the quality of the tobacco leaf raw material to be detected by adopting the established method, and evaluating the quality of the tobacco leaf raw material to be detected; (6) and (5) adjusting the corresponding processing link and/or the subsequent processing link according to the evaluation result in the step (5) to control the quality of the tobacco leaf raw material.
Description
Technical Field
The invention relates to the field of tobacco quality control, in particular to a tobacco raw material quality control method.
Background
The quality of tobacco leaf raw materials is a key factor influencing the quality of cigarette products. The tobacco raw materials from agricultural production to the use of the tobacco raw materials in the cigarette formula relate to a plurality of links such as production, circulation, processing and the like, and have long period and complex process. The whole-process quality control of the tobacco leaves has the practical problems of large tobacco leaf quality change, large tobacco leaf form difference, difficult process quality monitoring, difficult quality change quantification and the like in the processing process. The whole-process industrial availability evaluation method is established, and the raw material quality control capability and the cigarette brand demand matching capability are favorably improved.
Disclosure of Invention
The invention selects four links in the tobacco raw material processing and transferring process: tobacco production, transfer, redrying and alcoholization, and setting sampling nodes for quality evaluation in each link: the quality control method comprises the steps of selecting a raw tobacco standard sample, allocated tobacco leaves, redried tobacco strips and alcoholized tobacco strips at an alcoholization high point, screening the common quality evaluation indexes of all samples, establishing a tobacco raw material quality quantification method, carrying out quality evaluation on the tobacco raw materials in a processing circulation link according to the determined quality evaluation index target value, and realizing quality monitoring on the tobacco raw materials in the whole process, so that weak links are pertinently adjusted, and the tobacco processing quality is favorably improved.
In one aspect, the present invention provides a method of controlling the quality of tobacco leaf material comprising the steps of:
(1) selecting raw tobacco standard samples, allocated tobacco leaves, redried tobacco strips and alcoholized tobacco strip raw materials at the alcoholization high point in the same producing area and grade, and sampling;
(2) determining the quality evaluation indexes of the tobacco raw materials;
(3) screening the common quality evaluation indexes among the tobacco raw materials, accumulating historical data, and determining target values and appropriate ranges of the quality evaluation indexes;
(4) establishing a tobacco raw material quality quantification method, quantifying each quality evaluation index into the range of [0,1], and calculating to obtain an industrial availability comprehensive index based on the weight occupied by each quality evaluation index;
(5) quantifying the quality of the tobacco leaf raw materials to be detected by adopting the established method, and evaluating the quality of the tobacco leaf raw materials to be detected;
(6) and (6) adjusting the corresponding processing link and/or the subsequent processing link according to the evaluation result in the step (5) so as to control the quality of the tobacco leaf raw materials.
It is known in the art that harvesting fresh tobacco leaves from tobacco-growing land to a flow process to produce a sheet of tobacco for use in cigarettes takes two to three years, involving numerous links. The invention selectively adopts the tobacco raw material samples of four links to monitor the quality of the whole process of tobacco processing circulation. Research shows that compared with tobacco raw material samples adopting other links, the tobacco raw material samples adopting the four links can more simply, conveniently and accurately control the tobacco processing quality.
The "raw tobacco standard sample" and "base standard sample" as used herein refer to a standard grade sample whose tobacco leaf appearance quality meets the national standard of "flue-cured tobacco".
The 'allocation of tobacco leaves' and 'allocation of large goods' are representative samples selected according to the quality inspection conditions of the tobacco leaves in the processes of raw tobacco purchasing, allocation quality inspection and raw tobacco warehouse.
The re-drying tobacco flakes and the new tobacco flakes are re-drying new tobacco flakes in the same year after cleaning and re-drying the tobacco leaves.
The alcoholization of the alcoholization high point lamina herein is a re-cured lamina where the tobacco leaves are stored and alcoholized to reach the optimal use state according to the information of the tobacco leaf curing process, and is generally a sampling of new lamina tobacco after alcoholization for about 20 months.
In some embodiments, the quality assessment indicator in step (2) comprises one or more of an appearance quality indicator, a physical property indicator, a chemical composition indicator, a sensory quality indicator, and a safety indicator.
In some embodiments, the quality evaluation indicator of the commonality between the tobacco raw materials in step (3) is a chemical composition indicator.
In some embodiments, the chemical composition indicator comprises total nitrogen, nicotine, total sugar, reducing sugar, potassium, chlorine, sugar to base ratio, nitrogen to base ratio, and potassium to chlorine ratio.
In some embodiments, the quality assessment indicators of commonality between tobacco materials in step (3) further comprise sensory quality indicators.
In some embodiments, the sensory quality indicators include fragrance quality, fragrance amount, offensive odor, pungency, and aftertaste.
In some embodiments, the quality assessment indicators of the commonality between tobacco raw materials in step (3) further comprise appearance quality indicators.
In some embodiments, the appearance quality indicators include color, oil, and chroma.
In some embodiments, tobacco samples meeting the quality target and quality data thereof are selected, and a tobacco quality target value and a suitable range thereof are calculated and set.
In some embodiments, the chemical composition indicator is quantified according to a membership function method.
In some embodiments, when the detected value of a chemical composition indicator is within a suitable range, indicating that the chemical composition indicator meets the quality target, and the availability of the chemical composition is quantified by a membership function method, the index of the corresponding chemical composition is 1. When the detection value of a certain chemical component index is not in the suitable range interval, the corresponding chemical component availability index can be calculated through a membership function method, and the chemical component industrial availability is evaluated.
In some embodiments, the membership functions used for chemical composition indicator quantification are as follows:
membership functions of total sugar, reducing sugar, nicotine, chlorine, total nitrogen, sugar-to-base ratio, and nitrogen-to-base ratio are:
the membership functions of potassium to chloride and potassium are:
membership type and critical value of each index of chemical components of tobacco leaves
| Index of chemical composition | Membership function type |
| Total nitrogen (%) | Middle ladder type |
| Nicotine (%) | Middle ladder type |
| Total sugar (%) | Middle ladder type |
| Reducing sugar (%) | Middle ladder type |
| Potassium (%) | Half-ladder type |
| Chlorine (%) | Middle ladder type |
| Nitrogen to base ratio | Middle ladder type |
| Ratio of sugar to base | Middle ladder type |
| Ratio of potassium to chlorine | Half-ladder type |
x 1 、x 2 、x 3 And x 4 Respectively representing the lower critical value, the lower limit of suitable value setting, the upper limit of suitable value setting and the upper critical value of each evaluation index.
In some embodiments, the sensory quality indicator is quantified according to a fractional scaling normalization method.
In some embodiments, the appearance quality indicator is quantified according to a fractional scaling normalization method.
In some embodiments, the selected tobacco material quality evaluation index data is accumulated for more than 3 years, and the average value of each quality evaluation index is quantified by the quality quantification method to obtain the tobacco material quality target value.
In some embodiments, the method further comprises the step of quantifying the result of using a particular raw tobacco(s), a cured tobacco leaf, a redried strip, and an alcoholized strip of tobacco material at an alcoholization high point as historical reference values. Specifically, the quality quantification method is adopted to quantify raw tobacco, allocated tobacco leaves, redried strips and alcoholized strip tobacco raw materials at an alcoholization high point in a certain selected year to obtain historical reference values of the raw tobacco, allocated tobacco leaves, redried strips and alcoholized strips at the alcoholization high point, and each node is taken as an abscissa and a corresponding quantification result is taken as an ordinate to draw a standard curve.
In some embodiments, the quality of the tobacco material to be tested is evaluated based on the target value of the quality of the tobacco material and optionally a historical reference value.
In some embodiments, the tobacco leaf material to be tested is of the same or similar characteristic tobacco material (e.g., same origin) as the tobacco material.
In some embodiments, step (1) further comprises: determining quality evaluation requirements of the tobacco raw material processing process, determining tobacco processing and circulation links, and determining tobacco quality evaluation nodes and quality evaluation indexes; establishing a quality evaluation standard and a quality evaluation method; various record forms and statistical analysis methods are formulated.
According to the links of tobacco raw material circulation and processing, the invention selects 4 stages: tobacco production, raw tobacco blending quality inspection, threshing and redrying, storage and alcoholization; and establishing 4 quality evaluation nodes of an original tobacco standard sample, a large-cargo sample, a new tobacco sheet and an alcoholized high-point tobacco sheet according to each processing link.
The method can be used for the comprehensive quality evaluation of a certain node or processing link in the whole processing process, and can also be used for the comprehensive quality evaluation of the whole tobacco raw material process. For example, the quality condition of tobacco leaves in the original tobacco allocation link can be reflected by comparing the quality difference between the base standard sample and the allocated bulk goods sample; the quality difference of the large bulk sample and the new tobacco lamina sample is compared, the influence of cleaning, threshing and redrying on the quality of the tobacco leaves can be reflected, and the influence of storage alcoholization on the quality of the tobacco leaves can be reflected by comparing the quality difference of the new tobacco lamina and the alcoholized high point tobacco lamina.
The method further comprises the following steps: a chemical component assigning method is established. And formulating the quality demand range of the chemical components of the tobacco leaves, further establishing a membership function of the chemical component indexes, and evaluating the industrial availability index of the chemical components according to a membership function method.
In the invention, based on the quality evaluation requirement, a quality evaluation node is selected to carry out the quality evaluation of the processing link and the process, and the quality evaluation of the tobacco leaf sample is carried out according to the established quality evaluation index and method. The stored data includes quality assessment data for the current year and the past year.
In the invention, a quality evaluation scheme is formulated, specified sampling and quality evaluation time and method are set, key indexes of each node are measured and evaluated in time, the measured result is evaluated and quantified, and comprehensive quality score statistics is carried out on samples of each node; and calculating the quality difference of each processing or circulation link according to the quality evaluation score of each node to obtain the influence or contribution of different processing links to the comprehensive quality of the tobacco leaves.
According to the quality evaluation method, the quality data of the tobacco leaves over the years are compared according to the quality evaluation requirements, related technicians are supported to evaluate and summarize the quality condition of the tobacco leaf raw materials in the current year, and feedback and reason tracing of the quality problem of the tobacco leaves are supported and improved. The over-the-year tobacco data refers to the quality data which is continuously accumulated and updated by quality evaluators after long-term quality evaluation and summary.
The method further comprises the following steps: the existing tobacco leaf quality data are regularly updated and released, and the tobacco leaf raw material quality database is recorded, so that technicians can conveniently search the whole process quality data of the current-year tobacco leaf raw materials and the previous-year tobacco leaf raw materials, grasp the quality conditions of current-year tobacco leaf raw material circulation and processing, and provide data support for evaluating the existing processing measures and improving the quality problems.
The method further comprises the following steps: and establishing a quality evaluation function node for deeply converting the quality of the tobacco leaves from the mass quality of agricultural products to the functional quality of the formula. The method comprises the following steps of determining the tobacco leaf style evaluation function of a raw tobacco standard sample, determining the quality grade of a raw tobacco bulk product by a transfer bulk sample, establishing a sheet tobacco quality file of a new tobacco sheet tobacco, and supporting and making a sheet tobacco use strategy by an alcoholization high point. Through the evaluation of the industrial availability of the tobacco leaves in the same year or batch in the whole tobacco leaf processing process, the comprehensive display of the quality of the tobacco leaf raw materials in the processing process is realized through data collection and quantification.
In another aspect, the invention provides the use of the method for improving the quality of tobacco material or for assessing the quality of a tobacco material processing process.
In another aspect, the present invention provides an apparatus for evaluating the quality of a tobacco material processing process, comprising:
a memory to store instructions;
a processor configured to execute the instructions such that the apparatus when executed performs the method of any of the first aspects.
In another aspect, the invention provides a computer readable storage medium storing computer instructions which, when executed by a processor, implement the method of any one of the first aspect.
Advantageous effects of the invention
According to the method, the quality of the tobacco leaves in the four specific processing links is quantized and contrastively analyzed, so that the influence of each processing link on the quality of the tobacco leaves is accurately quantized, the quality control of the whole tobacco leaf processing process is promoted, and the tobacco leaf processing quality is favorably improved.
Drawings
FIG. 1 shows a graph of the trend of the quality (industrial availability of chemical components) of a tobacco material processing process.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to examples, but those skilled in the art will appreciate that the following examples are only illustrative of the present invention and should not be construed as limiting the scope of the present invention. The examples, in which specific conditions are not specified, were conducted under conventional conditions or conditions recommended by the manufacturer. The reagents or instruments used are not indicated by the manufacturer, and are all conventional products commercially available.
According to the method disclosed by the invention, the quality evaluation of the tobacco leaves is carried out. Collecting quality data of tobacco leaves of the same raw material grade (or category) at quality nodes of original tobacco standard samples, bulk goods, new tobacco strips, alcoholized high-point tobacco strips and the like. Taking the tobacco lamina of the middle leaf of a certain producing area in Yunnan as an object, and carrying out sampling and quality evaluation on samples of all quality nodes of the tobacco leaves. The information and the chemical component detection results of the tobacco leaf samples at each node are shown in table 1. The average statistics of the quality data of each node are shown in table 2.
The alcoholization high point historical value is the industrial availability index of chemical components of tobacco leaves of the same type in the middle of a certain producing area in Yunnan province in 2017, the index values are respectively 2.13 percent of total nitrogen, 1.83 percent of nicotine, 30.30 percent of total sugar, 23.20 percent of reducing sugar, 2.10 percent of potassium, 0.23 percent of chlorine, 1.16 percent of nitrogen-alkali ratio, 16.56 percent of sugar-alkali ratio and 9.13 percent of potassium-chlorine ratio, and the comprehensive availability index of the chemical components is calculated to be 0.95 by adopting a membership function method.
The objective value of the chemical composition industrial availability comprehensive index of the first type of the tobacco lamina is calculated to be 1.00 by adopting a membership function method (calculated according to the mean value of the first type of the tobacco lamina in the table 3).
And (3) drawing a quality change diagram (figure 1) according to the tobacco quality quantization result, and diagnosing the tobacco quality condition.
Tobacco leaf quality evaluation
(1) Quality analysis of the processing process: the comprehensive industrial availability indexes of chemical components of the allocated large sample, the new tobacco flakes and the alcoholized high-point tobacco flakes show an increasing trend, which shows that the coordination of the chemical components of the allocated large sample is gradually improved through the processing processes of cleaning, redrying, alcoholizing and the like.
(2) Quality analysis in different years: the availability index of the alcoholization high point chemical components of the first-class tobacco leaves in the middle of the producing area in 2018 is 0.99, which is higher than the historical value of the alcoholization high point (the availability index of the chemical components of the corresponding-class tobacco lamina in 2017 is 0.95), and is close to the target value of the alcoholization high point. In 2018, the industrial availability of chemical components of tobacco leaves in the middle of the producing area is better.
(3) And (3) abnormal phenomenon analysis: as can be seen from FIG. 1, the usability index of chemical components of the set bulk sample is higher than that of the base standard sample, which is an abnormal phenomenon. This is mainly due to the fact that the total sugar and reducing sugar in the production area are too high, and the potassium content of the base standard sample is low, so that the chemical composition harmony of the base standard sample is low. The results reflect the current quality situation of the high content of total sugar and reducing sugar in the middle leaves of the production area.
Quality analysis of different processing links
(1) Quality analysis of a transfer link: compared with a base standard sample, the transfer large sample has the characteristics of higher total nitrogen and nicotine and lower total sugar and reducing sugar, and the transfer large sample contains a certain proportion of upper tobacco leaves and other tobacco leaves of other grades, and the upper tobacco leaves have the characteristics of higher total nitrogen and nicotine and lower total sugar and reducing sugar, so that the transfer large sample is greatly different from the standard sample.
(2) Quality analysis of redrying link: compared with a large sample, the usability index of the chemical components of the new tobacco flakes is improved. In particular, increased total nitrogen and nicotine, and decreased total sugars and reducing sugars. On one hand, the upper leaves and the auxiliary group of tobacco leaves are removed in the cleaning link of threshing and redrying, so that the purity of the tobacco leaves is improved, and on the other hand, the coordination of the tobacco leaves is improved through the process treatment in the threshing and redrying link.
(3) Quality analysis of the alcoholization process: compared with the fresh tobacco flakes, the availability index of chemical components of the alcoholized high-point tobacco flakes is improved, nicotine and total sugar are reduced, and reducing sugar is increased. The alcoholization improves the chemical component coordination of the tobacco flakes.
(4) Quality evaluation of alcoholized tobacco leaves: in 2018, in the production place, the middle-grade tobacco lamina has the chemical components of the alcoholization high point in a proper range on the whole, and the chemical component coordination of the tobacco leaves is in a normal level.
Tobacco leaf quality evaluation and quality control effect analysis
And (4) carrying out analysis on the tobacco leaf quality control effect of the key link based on quality evaluation function positioning and quality data. Evaluating the base unit style characteristics by using the tobacco leaf style indexes of sensory quality, evaluating the quality of a large sample of the tobacco leaf according to the quality of the appearance grade of the tobacco leaf, evaluating the key quality of a redrying link by using the nicotine variation coefficient of the tobacco leaf, and evaluating the alcoholization quality by using the sensory quality of an alcoholization high point. Taking the quality evaluation of tobacco leaves in the producing area in 2018 as an example, quality control measures in 2019 are formulated based on the quality evaluation result, quality data in 2018 and quality data in 2019 are analyzed in a contrasting manner, and quality evaluation and quality control effects are analyzed.
As can be seen from Table 6, the quality evaluation and quality control have a better quality improvement effect in improving the availability index of the chemical composition. The availability indexes of chemical components of the base standard sample, the allocated big sample and the new tobacco lamina are improved to different degrees, and the quality evaluation and quality control measures have the effect of improving the quality of the tobacco leaf production and processing process. In the aspect of quality of alcoholization high points, the chemical composition comprehensive indexes in 2018 and 2019 are respectively 0.99 and 0.98, which are both close to a target value of 1, and thus, the chemical composition coordination of the tobacco leaves in 2018 and 2019 basically meets the quality target.
As can be seen from table 7, the quality evaluation and quality control have better quality improvement effects in the aspects of improving the tobacco style characteristics of the base standard sample, the appearance grade quality of the allocated large sample, the chemical component homogeneity of the new tobacco lamina, the sensory quality of the alcoholized tobacco lamina, and the like.
Claims (10)
1. A method of controlling the quality of tobacco leaf feedstock comprising the steps of:
(1) selecting raw tobacco standard samples, allocated tobacco leaves, redried tobacco strips and alcoholized tobacco strip raw materials at the alcoholization high point in the same producing area and grade, and sampling;
(2) determining the quality evaluation indexes of the tobacco raw materials;
(3) screening the common quality evaluation indexes among the tobacco raw materials, accumulating historical data, and determining target values and appropriate ranges of the quality evaluation indexes;
(4) establishing a tobacco raw material quality quantification method, quantifying each quality evaluation index into the range of [0,1], and calculating to obtain an industrial availability comprehensive index based on the weight occupied by each quality evaluation index;
(5) quantifying the quality of the tobacco leaf raw materials to be detected by adopting the established method, and evaluating the quality of the tobacco leaf raw materials to be detected;
(6) and (5) adjusting the corresponding processing link and/or the subsequent processing link according to the evaluation result in the step (5) to control the quality of the tobacco leaf raw material.
2. The method of claim 1, wherein the quality assessment indicator in step (2) comprises one or more of an appearance quality indicator, a physical property indicator, a chemical composition indicator, a sensory quality indicator, and a safety indicator.
3. The method according to claim 1 or 2, wherein the quality evaluation index of the commonality between the tobacco materials in step (3) is a chemical composition index;
preferably, the chemical composition indicators include total nitrogen, nicotine, total sugar, reducing sugar, potassium, chlorine, sugar-to-base ratio, nitrogen-to-base ratio, and potassium-to-chlorine ratio;
preferably, the chemical composition indicators are quantified according to a membership function method.
4. The method of any one of claims 1-3, wherein the quality assessment indicators for the commonality between each tobacco material in step (3) further comprises sensory quality indicators;
preferably, the sensory quality indexes comprise aroma quality, aroma quantity, miscellaneous gas, irritation and aftertaste;
preferably, the sensory quality index is quantified according to a decimal scaling normalization method.
5. The method of any one of claims 1-4, wherein the quality assessment indicators of commonality between tobacco raw materials in step (3) further comprise appearance quality indicators;
preferably, the appearance quality index includes color, oil content and chroma;
preferably, the appearance quality index is quantified according to a fractional scaling normalization method.
6. The method according to any one of claims 1 to 5, wherein the data of the quality evaluation indexes of the selected tobacco material are accumulated for 3 years or more, and the target value and the suitable range of each quality evaluation index are determined.
7. The method of any of claims 1-6, wherein the tobacco leaf material to be tested is of the same or similar characteristics (e.g., same origin) as the tobacco material.
8. Use of the method of any one of claims 1-7 for improving the quality of tobacco material or evaluating the quality of a tobacco material processing process.
9. An apparatus for evaluating the quality of a tobacco material processing process, comprising:
a memory to store instructions;
a processor for executing the instructions such that the apparatus when executed performs the method of any of claims 1-7.
10. A computer-readable storage medium storing computer instructions which, when executed by a processor, implement the method of any one of claims 1-7.
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| CN202210816553.9A CN115129012A (en) | 2022-07-12 | 2022-07-12 | Tobacco raw material quality control method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116189803A (en) * | 2023-03-31 | 2023-05-30 | 江苏中烟工业有限责任公司 | Quality-stabilizing and synergy method of tobacco leaf rolling formula and application thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116189803A (en) * | 2023-03-31 | 2023-05-30 | 江苏中烟工业有限责任公司 | Quality-stabilizing and synergy method of tobacco leaf rolling formula and application thereof |
| CN116189803B (en) * | 2023-03-31 | 2024-02-02 | 江苏中烟工业有限责任公司 | Quality-stabilizing and synergy method of tobacco leaf rolling formula and application thereof |
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