Equipment for applying the sampling method for pseudo-tobacco inspection based on DNA molecular markers

By using DNA molecular marker-based methods and equipment for testing simulated tobacco products, the problems of large sample volume, low timeliness, and poor accuracy in the identification and testing of simulated tobacco products have been solved. This has enabled efficient and low-cost sample determination, and is suitable for rapid identification at delivery-based sales points.

CN111984922BActive Publication Date: 2025-01-10YUNNAN TOBACCO QUALITY SUPERVISION MONITORING STATION
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Patent Information

Application Number
CN202010620585.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2020-07-01
Publication Date
2025-01-10
Estimated Expiration
2040-07-01

AI Technical Summary

Technical Problem

Existing technologies for identifying and testing tobacco products suffer from problems such as large sample size, low timeliness, and poor sampling accuracy. In particular, when there is a lack of packaged inventory at delivery-based sales points, existing sampling methods cannot effectively guarantee sampling accuracy.

Method used

A sampling method for testing simulated tobacco products based on DNA molecular markers is adopted. By determining the error probabilities of "discarding true products" and "keeping false products", setting confidence intervals and minimum and maximum sampling amounts, and combining with DNA molecular marker identification and testing equipment, efficient and accurate sample judgment is achieved.

Benefits of technology

It effectively reduces testing costs, improves sampling accuracy, and ensures the timeliness and accuracy of identification and testing, making it suitable for rapid identification at delivery-based sales points.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a device that applies a sampling method for pseudo-cigarette inspection based on DNA molecular markers, and belongs to the technical field of tobacco cigarette product identification inspection. It includes a base body, an operating table, a sampling chamber and a sampling tube; wherein, a space for placing the sampling tube is reserved between the base body and the operating table to form a sampling chamber; at least one cigarette receiving slot is provided on the top surface of the operating table; a cutting receiving slot is provided on the outer edge of each cigarette receiving slot; a cigarette drop port is provided in the cigarette receiving slot at a position corresponding to the cutting receiving slot, and a connecting protrusion is provided at the bottom end of the operating table corresponding to the outer edge of the cigarette drop port; the connecting protrusion is fixedly connected to the tube mouth of the sampling tube; a cutter corresponding to the cutting receiving slot is rotatably provided on one side end of the operating table. The use of this device can effectively ensure the timeliness of DNA molecular marker identification inspection, save inspection costs, and determine the overall sample situation by inspecting only a small number of samples.
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Description

Technical Field

[0001] The invention relates to the technical field of tobacco cigarette product identification and testing, and in particular to equipment using a pseudo-cigarette product identification and testing sampling method based on DNA molecular markers. Background Art

[0002] At present, the main principle of identifying and testing pseudo-smoking products is to determine the nicotine and N-nitrosamine content in the sample to test and determine whether such products are tobacco monopoly products. However, nicotine is not unique to tobacco, and many Solanaceae plants also contain it. In addition, the content of tobacco-specific N-nitrosamines is extremely low, basically at the nanogram / gram level. It is often the case that tobacco-specific N-nitrosamines cannot be detected in cigarette samples. Therefore, there is a greater risk of misjudgment when using this method to identify and test "pseudo-smoking products."

[0003] As for the sampling method, the current sampling is generally carried out according to the "Cigarette Product Identification and Inspection Procedures", first classifying according to the brand, brand specifications, packaging form, etc. of the strip or box packaging, and then sampling according to the rules in Table 1.

[0004] If this sampling method is used to identify and test "pseudo-cigarette products" based on DNA molecular markers, at a 95% confidence level, the conclusion given for the current sampling plan is the proportion of cigarettes in the sampled sample, but in fact, the sample infers the proportion of cigarettes in the batch and its confidence interval as shown in Table 1. It can be seen from Table 1 that the minimum number of samples in the current plan is 80. As the product base increases, the minimum sampling volume increases to 400, which is not conducive to controlling the sampling and testing costs. In addition, when the sampling volume is small, the confidence interval is too wide, indicating that the sampling method has poor estimation ability for the population and cannot effectively guarantee the sampling accuracy. Furthermore, since the supply method of such products is mostly delivery, there is basically no inventory of complete pieces at the sales point, and the above-mentioned sampling conditions are not met. Therefore, a scientific and reasonable improved sampling method is urgently needed.

[0005] Table 1 Confidence interval of sampling estimation in the “Regulations on Identification and Inspection of Cigarette Products”

[0006]

[0007] * Note: When more than 5% of the sampled cigarettes are found to be cigarettes, the overall batch cannot be rejected as cigarettes.

[0008] In view of the above-mentioned existing technical conditions, the applicant of the present invention has conducted a lot of repeated and beneficial explorations, and finally achieved effective results in the product, and formed the technical solution to be introduced below. Summary of the invention

[0009] To this end, the present invention provides a pseudo-tobacco product inspection sampling method based on DNA molecular markers and its application equipment to solve the problems in the prior art of pseudo-tobacco product inspection sampling, such as large sample quantity required, low timeliness and poor sampling accuracy.

[0010] In order to achieve the above object, the present invention provides the following technical solutions:

[0011] The sampling method for pseudo-tobacco product inspection based on DNA molecular markers includes the following steps:

[0012] S1: Determine the “discard true” error α, “keep false” error β and the overall judgment threshold (the proportion of total cigarettes);

[0013] S2: Define the ratio of the number of cigarettes in the population as p, then the number of cigarettes X obtained from the population conforms to the 0-1 distribution; the formula is as follows:

[0014] P(X=x)=p x (1-p) 1-x , x=0 or 1;

[0015] S3: Draw a sample of size n from the population; Y n Approximately follows a normal distribution, that is, Y n ~N(0,1);

[0016] S4: If the number of cigarettes detected in a sample with a volume of n is defined as m, then the average value of the sample is

[0017] If the confidence probability is set to 1-α, then we have

[0018] Among them, satisfying P(Y n >Z α )=α α Y is a normally distributed n The upper α quantile of ;

[0019] S5: By have to Expand to get ap 2 +bp+c<0, where x i =0 or 1 (i=1, 2, ..., n), due to So we can get,

[0020] Let the quadratic trinomial ap 2 The two real roots of +bp+c are

[0021] Then the confidence interval for the probability of the ratio of the number of cigarettes in the population to be p is 1-α:

[0022] S6: Determine the minimum sampling volume n min ;

[0023] S7: Determine the maximum number of samples n t .

[0024] Furthermore, the specific process of step S6 includes the following:

[0025] Set α=0.05, β=0.10, and at a confidence level of 95% (1-α), the sampling party will determine that the batch is a pseudo-cigarette product when the total product contains less than 5% cigarettes. According to probability statistics theory, under the same reliability and precision, the smaller the sample, the smaller the probability that a qualified sample contains cigarettes. When a sequential sampling plan is used, the minimum cumulative cigarette allowable value is 0, that is, no cigarettes are found in each inspection, and the predicted single-tail confidence upper limit of the total product cigarette ratio is 5%, at this time Z a =1.645. According to the mathematical model, the sample size is 51.4053. If we round it up, the minimum sample size n is min =52;

[0026] At this time, according to The two real roots obtained are 0 and 4.95% respectively, that is, when n=52 simulated cigarette products are sampled and no cigarettes are detected through DNA molecular marker testing, it can be determined with 95% certainty that the overall cigarette ratio of the batch of products is between 0 and 4.95%.

[0027] Furthermore, the specific process of step S7 includes the following:

[0028] In the actual identification and testing process, it is very likely that multiple tests will fail to reach the judgment threshold, that is, the cumulative number of cigarettes is always between the upper and lower limits listed in the sequential sampling table, making it difficult to determine the overall monopoly product ratio, so that the test cannot be terminated; therefore, it is necessary to calculate the maximum sampling number n t To terminate the sampling process;

[0029] According to the setting of α = 0.05, β = 0.10, the rejection number is 25 in Appendix 1 of GB / T8051-2008 "Count Sequential Sampling Inspection Plan", that is, the maximum cumulative number of cigarettes rejected is 25. At this time, the two-tailed confidence lower limit of the predicted product overall cigarette ratio is 5% due to Z β =1.654, according to the S2-S5 mathematical model, the sample size at this time is 363.3349, which is rounded down to get the maximum sampling number n t =363.3349, round down to get the maximum sampling number nt =363.

[0030] Furthermore, step S8 is included, and the specific process of step S8 includes the following:

[0031] Several extracted cigarettes are cut at the same time, and the tobacco inside them falls into corresponding sampling bottles synchronously, and the tobacco in the sampling bottles is compared with tobacco genome data for identification and inspection of tobacco-specific DNA molecular markers.

[0032] The equipment using the sampling method for pseudo tobacco inspection based on DNA molecular markers includes a base body, an operating table, a sampling chamber and a sampling tube; wherein,

[0033] A space for placing a sampling tube is reserved between the base body and the operating table to form a sampling chamber;

[0034] The top surface of the operating table is provided with at least one cigarette receiving slot;

[0035] The outer edge of the cigarette receiving groove is provided with a cutting receiving groove;

[0036] A cigarette drop opening is provided in the cigarette receiving groove at a position corresponding to the cut-off receiving groove, and a connecting protrusion is provided at the bottom end of the operating table corresponding to the outer edge of the cigarette drop opening;

[0037] The connecting protrusion is fixedly connected to the tube opening of the sampling tube;

[0038] A cutter corresponding to the cutting accommodating groove is rotatably provided at one side end of the operating table.

[0039] Furthermore, the base body is fixedly provided with a support column extending upward, and the support column is fixedly connected to the operating table at one end away from the base body.

[0040] Furthermore, the cigarette receiving groove is a long arc-shaped groove and has an extension direction;

[0041] One end of the cigarette containing groove along its extension direction is provided with a notch corresponding to the edge of the operating table, and the other end of the cigarette containing groove along its extension direction is located on the operating table and is provided with a limiting end correspondingly.

[0042] Furthermore, the length between the limiting end and the cutting accommodating groove is not less than 3 cm, and the cutter can completely cut off the cigarette filter.

[0043] Furthermore, at least one side blade is evenly fixedly connected to the side end of the cutter, and the side blade corresponds to the cigarette receiving groove.

[0044] Furthermore, the connection between the connecting protrusion and the sampling tube is achieved by screwing or interference fit.

[0045] The present invention has the following advantages:

[0046] 1. This method can effectively ensure timeliness and save testing costs.

[0047] 2. In view of the actual sales method of simulated tobacco products and the characteristics of DNA molecular marker identification and testing technology, the overall sample situation can be determined by testing fewer samples, thereby improving the sampling accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the implementation mode of the present invention or the technical solution in the prior art, the drawings required for the implementation mode or the description of the prior art will be briefly introduced below. The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0049] Figure 1 A schematic diagram of a method flow chart provided by an embodiment of the present invention.

[0050] Figure 2 The overall structure diagram of the application device provided by the embodiment of the present invention.

[0051] Figure 3 The embodiments of the present invention provide OC curves with ncum of 52, 110, 142 and corresponding OC curves with n of 40, 200, 400 for a single sampling in the "Cigarette Product Identification and Inspection Procedure".

[0052] Figure 4 Schematic diagram of the amplification results of tobacco-specific SSR primers for the initial sampling (nmin=52) provided in an embodiment of the present invention (M is the DNA Marker molecular weight of 100-1500bp, S is the amplification result of the cigarette standard sample, and n1~n52 are the amplification results of the initial sampling "pseudo-tobacco product" samples 1~52).

[0053] In the accompanying drawings, the components represented by the reference numerals are listed as follows:

[0054] The base body 1, the operating table 2, the sampling chamber 3, the cigarette accommodating groove 4, the limiting end 41, the cigarette drop port 42, the cutting accommodating groove 5, the cutting knife 6, the side blade 7, and the sampling tube 8. DETAILED DESCRIPTION

[0055] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] like Figure 1 As shown, the embodiment of the present invention provides a sampling method for pseudo-tobacco product inspection based on DNA molecular markers. Based on the technical characteristics of the relatively high cost of identification inspection based on DNA molecular markers, this embodiment selects a sequential sampling scheme that can save the average sample size. However, since it is a sampling inspection, two types of errors are bound to occur. One type of error is to judge a "pseudo-tobacco product" as a cigarette, which is called a first-type error or a "discarding true" error, and its probability is represented by α. The other type of error is to judge a "pseudo-tobacco product" containing characteristic tobacco ingredients as a non-cigarette, which is called a second-type error or a "preserving false" error, and its probability is represented by β.

[0057] The specific steps include:

[0058] S1: In order to balance sampling accuracy and cost, the embodiment of the present invention adopts the conventional combination of α=0.05 and β=0.10 in 6.1 of GB / T8051-2008 "Count Sequential Sampling Inspection Scheme". From a statistical point of view, only when a certain number (proportion) of products in the population is inferred to be cigarettes or "pseudo-cigarette products" at a certain confidence level can the identification inspection case be determined to be cigarettes or "pseudo-cigarette products". The present invention is set at a confidence level of 1-α=95%, and the proportion of cigarettes in the population is inferred to be 5%, and the batch of products is judged to be tobacco monopoly products.

[0059] S2: Define the ratio of the number of cigarettes in a certain pseudo-cigarette product to be tested as p, then the number of cigarettes X obtained by randomly selecting a "pseudo-cigarette product" from the population conforms to the 0-1 distribution; the formula is as follows:

[0060] P(X=x)=p x (1-p) 1-x , x=0 or 1.

[0061] S3: Draw samples X1, X2…X with a capacity of n from the population n ; When n is large, the central limit theorem shows that the random variable

[0062] Y n Approximately follows a normal distribution, that is, Y n -N(0,1).

[0063] S4: If the number of cigarettes detected in a sample with a volume of n is defined as m, then the average value of the sample is This is used to estimate the proportion of the total number of cigarettes m. Since the confidence probability is set to 1-α, we have

[0064] Among them, satisfying P(Y n >Z α )=α α is a random variable Y that follows a normal distribution n The upper α quantile of .

[0065] S5: By have to Expanding this formula, we can get ap 2 +bp+c<0, where x i =0 or 1 (i=1, 2, ..., n), due to So we can get,

[0066] Let the quadratic trinomial ap 2 The two real roots of +bp+c are

[0067] Therefore, the confidence interval for the probability of the ratio of the number of cigarettes in the sample population to be p is 1-α.

[0068] S6: Determine the minimum sampling volume

[0069] When the confidence level is set at 95%, the sampling party determines that the batch is a pseudo-cigarette product when the total product contains less than 5% of cigarettes. According to probability statistics theory, under the same reliability and precision, the smaller the sample, the smaller the probability that the qualified allowed sample contains cigarettes. When a sequential sampling plan is used, the minimum cumulative cigarette allowable value is 0, that is, no cigarettes are found in the inspection one by one, and the predicted single-tail confidence limit of the total product cigarette ratio Should be 5%, then Z a =1.645. According to the mathematical model, the sample size is 51.4053. If we round it up, the minimum sample size n is min =52. Therefore, the minimum sampling size (initial sampling size) n min =52.

[0070] At this time, according to The two real roots obtained are 0 and 4.95% respectively, that is, when n=52 simulated cigarette products are sampled and no cigarettes are detected through DNA molecular marker testing, it can be determined with 95% certainty that the overall cigarette ratio of the batch of products is between 0 and 4.95%.

[0071] With the confidence probability 1-α=95% set above, 5% of the total number of cigarettes is used to infer the total number of cigarettes. When the first sample size is 52, it is known from probability statistics that under the same reliability and accuracy, the smaller the sample, the smaller the probability that the qualified sample contains cigarette products. There is a high probability that all of this sample is "pseudo-cigarette products" without cigarettes. At this time, the confidence upper limit of the ratio of cigarette products in the sample can be calculated. It can be inferred that the overall ratio of cigarette products is Within the range.

[0072] From the normal distribution table, we can see that when α is 0.5, Z α is 1.645, which is obtained from the following formula in S5:

[0073] c=0,

[0074] according to The two real roots obtained are 0 and 4.95% respectively, that is, when n=52 simulated cigarette products are sampled and no cigarettes are detected through DNA molecular marker testing, it can be determined with 95% certainty that the overall cigarette ratio of the batch of products is between 0-4.95%.

[0075] For other cases, the inference of the ratio of cigarette products in the batch of "simulated cigarette products" is detailed in the attached table, and the calculation method is the same as the inference method of the confidence interval in the example. The determination of unqualified batches in the table means that if the corresponding cumulative sampling number is reached, and the number of cigarettes reaches the threshold in the table, the product is determined to be a cigarette.

[0076] S7: Determine the maximum number of samples

[0077] In the actual identification and inspection process, it may happen that multiple inspections fail to reach the judgment threshold, that is, the cumulative number of monopoly products is always between the upper and lower limits listed in the sequential sampling table, making it difficult to determine the overall monopoly product ratio, so that the inspection cannot be terminated. Therefore, it is necessary to calculate the maximum sampling number n t To terminate the sampling process. According to the set α = 0.05, β = 0.10, the truncation rejection number is 25 in Appendix 1 of GB / T8051-2008 "Count Sequential Sampling Inspection Plan", that is, the maximum cumulative number of cigarettes rejected is 25. At this time, the two-tailed confidence lower limit of the predicted product overall cigarette ratio is 5% due to Z β =1.654. ​​According to the Count Sequence Sampling Test Plan and the mathematical model of steps S2-S5, the sample size at this time is 363.3349, which can be rounded down to get the maximum sampling number n. t =363.3349, round down to get the maximum sampling number n t =363.

[0078] Table 2 Sequential sampling reference table (two-tailed)

[0079]

[0080] S8: Cut several extracted cigarettes at the same time and make the tobacco inside fall into corresponding sampling bottles synchronously, and perform tobacco-specific DNA molecular marker identification test on the tobacco in the sampling bottle and the genome data of tobacco varieties.

[0081] The sampling characteristic curve (OC curve) is based on the sampling plan (n cum , c) drawn, that is, the number of samples drawn from the total number of N products is n cum The sample is tested, n cum In n min With n t If the judgment standard c is met, the batch of products is judged to be qualified overall, otherwise it is judged to be unqualified. The relationship between the OC curve and the sampling plan change can further verify the rationality of the sampling plan. cum For example, the OC curves of n=52, 110, 142 and the corresponding OC curves of n=40, 200, 400 in the "Cigarette Product Identification and Inspection Procedures" are as follows: Figure 3 .

[0082] Depend on Figure 3 It can be seen that when n cum As the ratio increases gradually, the OC curve tends to move to the left, the curve drops sharply, and the slope becomes larger, indicating that the OC curve in this study has relatively high certainty and sensitivity, that is, when the "pseudo-cigarette product" is relatively consistent and the overall cigarette ratio does not exceed the specified limit, it is most likely to be judged as a "pseudo-cigarette product" and will not be judged as a cigarette. When its overall cigarette ratio exceeds the specified limit, it can also be accurately judged as a cigarette, with fewer intermediate probability judgment stages. On the other hand, the single sampling curve first tends to move to the right as the sampling size increases, and only after the OC curve crosses, it tends to move to the left. As the sampling size increases, the sensitivity and certainty of the OC curve are obviously not as good as the sampling curve of this study.

[0083] In order to verify the actual effect of the sampling method in the test, two "simulated cigarette products" in the test materials were unpacked, the cigarettes were fully mixed, and 52 cigarettes were randomly selected as the initial sample. The control was a randomly selected standard sample of a certain brand of finished cigarettes in 2019, such as Figure 4 .

[0084] The cigarette standard sample (S) amplified a specific band at the molecular weight of 250bp. 52 ) samples did not amplify specific bands at the molecular weight of 250bp, that is, the cumulative number of cigarettes allowed Ac =0, the condition that the product is judged as a "simulated tobacco product" (qualified) in the initial sampling, that is, the product is judged as a "simulated tobacco product".

[0085] From the existing single sampling scheme, if the scheme is applied to the identification test of "pseudo-cigarette products" based on DNA markers, the large sampling number is not suitable for accurate individual testing and the high testing cost of DNA molecular marker identification test. In addition, the purpose of this study is to estimate the proportion of cigarettes in the population through samples. When the sample size is small, the confidence interval of the single sampling scheme is too wide, and the estimation ability of the population is poor, which cannot effectively guarantee the sampling accuracy. At the same time, the OC curve also shows that the sampling scheme of this study has better sensitivity and certainty than single sampling on the basis of a smaller sampling amount as the number of samples increases.

[0086] The obvious advantage of sequential sampling over other sampling methods is that it can reduce the average sample size, thereby reducing the inspection cost and time. However, this sampling method requires inspection after each sampling to determine whether to conduct further sampling. Compared with random sampling, stratified sampling and other methods, there is a certain risk of misjudgment, and the professional and technical proficiency of the inspectors is relatively high. When the batch is close to the judgment threshold, the entire identification inspection cycle will be extended, and time and economic costs need to be balanced. However, in this study, both cigarettes and "simulated tobacco products" are industrial products that have been processed by technology and machinery, and their quality has a certain stability, that is, the relative consistency of the products is good. Therefore, combined with the application examples, in the actual inspection and identification process, only some cigarettes contain tobacco characteristic ingredients. There are very few "simulated tobacco products", that is, "simulated tobacco products" mixed with cigarettes are strictly controlled during the production process, and most of the inspected samples are relatively consistent, and only a small sample needs to be inspected to pass.

[0087] As shown, the present invention also provides a device for applying a sampling method for pseudo-cigarette inspection based on DNA molecular markers, including a base body 1, an operating table 2, a sampling chamber 3, a cigarette accommodating slot 4, a cutting accommodating slot 5, a cutter 6, a side blade 7 and a sampling tube 8, which are used to cut off the filter of the cigarette to be tested, and at the same time, the tobacco shreds sampled from different cigarettes can automatically fall into different sampling bottles when the filter is cut, and the function is strong and practical. The specific settings are as follows:

[0088] An upwardly extending support column is fixedly connected to the edge of the base body 1, and an operating table 2 is fixedly connected to the end of the support column away from the base body 1, so that a sampling chamber 3 can be formed between the base body 1 and the operating table 2 with the help of the support column, and the sampling chamber 3 can be used to place a sampling tube 8.

[0089] A plurality of cigarette accommodating grooves 4 are evenly arranged on the top surface of the operating table 2. The cigarette accommodating grooves 4 are long arc-shaped grooves and have an extension direction. One end of the cigarette accommodating grooves 4 along the extension direction is provided with a notch corresponding to the edge of the operating table 2, and the other end of the cigarette accommodating grooves 4 along the extension direction is located on the operating table 2 and is correspondingly provided with a limit end 41 for limiting the position of the filter end of the cigarette.

[0090] A cutting accommodating groove 5 is provided on the outer edge of each of the cigarette accommodating grooves 4 , and the plurality of cutting accommodating grooves 5 correspond to each other linearly so that the cutter 6 can act on the plurality of cutting accommodating grooves 5 at the same time.

[0091] Specifically, the length between the limiting end 41 and the cutting accommodating groove 5 is not less than 3 cm. When in use, the cigarette filter can be placed close to the limiting end 41 to ensure that the cutter 6 can completely cut off the cigarette filter.

[0092] A cigarette drop opening 42 is provided in the cigarette receiving groove 4 at a position corresponding to the cut-off receiving groove 5 , and a connecting protrusion is provided at the bottom end of the operating table 2 corresponding to the cigarette drop opening 42 , so as to be fixedly connected to the tube mouth of the sampling tube 8 by means of the connecting protrusion.

[0093] The fixing method between the connecting protrusion and the sampling tube 8 includes but is not limited to screwing and interference fit.

[0094] As a preferred solution of this embodiment, a cutter 6 is rotatably provided on one side end of the operating table 2, and the cutter 6 corresponds to the plurality of linearly corresponding cutting accommodating grooves 5 respectively; a plurality of side blades 7 are evenly fixedly provided on the side end of the cutter 6, and the distance between two adjacent side blades 7 is equal to the distance between two adjacent cigarette accommodating grooves 4, so that when cutting the cigarette filter, the side blade 7 can simultaneously cut a longitudinal opening on the cigarette, and can drive the tobacco to fall from the longitudinal opening, thereby greatly improving the functional practicality.

[0095] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. Equipment for applying a pseudo tobacco product inspection sampling method based on DNA molecular markers, characterized in that: The equipment includes a base body, an operating table, a sampling chamber and a sampling tube; wherein, A space for placing a sampling tube is reserved between the base body and the operating table to form a sampling chamber; The top surface of the operating table is provided with at least one cigarette receiving slot; The outer edge of the cigarette receiving groove is provided with a cutting receiving groove; A cigarette drop opening is provided in the cigarette receiving groove at a position corresponding to the cut-off receiving groove, and a connecting protrusion is provided at the bottom end of the operating table corresponding to the outer edge of the cigarette drop opening; The connecting protrusion is fixedly connected to the tube opening of the sampling tube; A cutting knife corresponding to the cutting groove is rotatably provided at one side end of the operating table; The method comprises the following steps: S1: Determine the "discard true" error α, the "keep false" error β and the overall judgment threshold, the overall judgment threshold refers to the proportion of the total cigarettes; S2: Define the ratio of the number of cigarettes in the population as p, then the number of cigarettes obtained from the population X conforms to the 0-1 distribution; the formula is as follows: P(X=x)=p x (1-p) 1-x , x=0 or 1; S3: Draw a sample of size n from the population; Y n Approximately follows a normal distribution, that is, Y n ~N(0,1); S4: If the number of cigarettes detected in a sample with a volume of n is defined as m, then the average value of the sample is If the confidence probability is set to 1-α, then we have Among them, satisfying P(Y n >Z α )=α α Y is a normally distributed n The upper α quantile of ; S5: By have to Expand to get ap 2 +bp+c<0, where x i =0 or 1 (i=1, 2, ..., n), due to So we can get, Let the quadratic trinomial ap 2 The two real roots of +bp+c are Then the confidence interval for the ratio of the number of cigarettes in the population to p is 1-α. S6: Determine the minimum sampling volume n min ; S7: Determine the maximum number of samples n t ; S8: Cutting several extracted cigarettes at the same time and making the tobacco inside them fall into corresponding sampling bottles synchronously, and performing identification test of tobacco-specific DNA molecular markers on the tobacco in the sampling bottles and tobacco genome data.

2. The device for applying the pseudo tobacco product inspection sampling method based on DNA molecular markers as claimed in claim 1 is characterized in that: The specific process of step S6 includes the following: Set α=0.05, β=0.10, and at a confidence level of 95% (1-α), the sampling party will determine that the batch is a pseudo-cigarette product when the total product contains less than 5% cigarettes. According to probability statistics theory, under the same reliability and precision, the smaller the sample, the smaller the probability that a qualified sample contains cigarettes. When a sequential sampling plan is used, the minimum cumulative cigarette allowable value is 0, that is, no cigarettes are found in each inspection, and the predicted single-tail confidence upper limit of the total product cigarette ratio is 5%, at this time Z a =1.

645. According to the mathematical model, the sample size is 51.4053. If we round it up, the minimum sample size n is min =52; At this time, according to The two real roots obtained are 0 and 4.95% respectively, that is, when n=52 simulated cigarette products are sampled and no cigarettes are detected through DNA molecular marker testing, it can be determined with 95% certainty that the overall cigarette ratio of the batch of products is between 0 and 4.95%.

3. The device for applying the pseudo tobacco product inspection sampling method based on DNA molecular markers as claimed in claim 2 is characterized in that: The specific process of step S7 includes the following: In the actual identification and testing process, it is very likely that the judgment threshold is not reached after multiple tests, that is, the cumulative number of cigarettes is always between the upper and lower limits listed in the sequential sampling table, making it difficult to determine the overall monopoly product ratio, so that the test cannot be terminated; Therefore, it is necessary to calculate the maximum sampling number n t To terminate the sampling process; According to the setting of α = 0.05, β = 0.10, the rejection number is 25 in Appendix 1 of GB / T8051-2008 "Count Sequential Sampling Inspection Plan", that is, the maximum cumulative number of cigarettes rejected is 25. At this time, the two-tailed confidence lower limit of the predicted product overall cigarette ratio is 5% due to Z β =1.654, according to the S2-S5 mathematical model, the sample size at this time is 363.3349, which is rounded down to get the maximum sampling number n t =363.3349, round down to get the maximum sampling number n t =363.

4. The device for applying the pseudo tobacco product inspection sampling method based on DNA molecular markers as claimed in claim 1 is characterized in that: The base body is fixedly provided with a support column extending upward, and the support column is fixedly connected to the operating table at one end away from the base body.

5. The device for applying the pseudo tobacco product inspection sampling method based on DNA molecular markers as claimed in claim 1, characterized in that: The cigarette receiving groove is a long arc-shaped groove and has an extension direction; One end of the cigarette containing groove along its extension direction is provided with a notch corresponding to the edge of the operating table, and the other end of the cigarette containing groove along its extension direction is located on the operating table and is provided with a limiting end correspondingly.

6. The device for applying the pseudo tobacco product inspection sampling method based on DNA molecular markers as claimed in claim 5, characterized in that: The length between the limiting end and the cutting accommodating groove is not less than 3 cm, and the cutter can completely cut off the cigarette filter.

7. The device for applying the pseudo tobacco product inspection sampling method based on DNA molecular markers as claimed in claim 1, characterized in that: The side end of the cutter is evenly fixed with at least one side blade, and the side blade corresponds to the cigarette receiving groove.

8. The device for applying the pseudo tobacco product inspection sampling method based on DNA molecular markers as claimed in claim 1, characterized in that: The connection between the connecting protrusion and the sampling tube is fixed by screwing or interference fit.

Citation Information

Patent Citations

  • Sampling equipment for cigarette-like product inspection based on DNA molecular markers

    CN212647465U