Construction method of cigarette smoke rapid identification marking system
By using a fluorescent nano-quantum dot labeling system in cigarette production, the source of oil fume pollution can be quickly and accurately located, solving the problem of difficulty in locating oil fume pollution links in existing technologies, improving the efficiency and accuracy of oil pollution identification, and ensuring cigarette quality.
Patent Information
- Application Number
- CN202311614913.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-29
- Publication Date
- 2026-02-03
- Estimated Expiration
- 2043-11-29
AI Technical Summary
Existing technologies make it difficult to quickly and accurately pinpoint the specific production stage where oil fume pollution occurs during cigarette production. This results in a significant expenditure of manpower and resources in finding the cause, impacting production efficiency and increasing the risk of secondary oil fume pollution.
Using fluorescent quantum dots as marking signals, a marking and positioning system for different oil products and different oil usage points is constructed. By sorting out the oil usage points throughout the entire process and classifying them into levels, and combining process and level factors, the system is labeled, and the fluorescent signals of the quantum dots are used to quickly and accurately determine the oil leak points.
It enables rapid and accurate identification of oil leaks and potential hazards during cigarette production, preventing the recurrence of oil fume problems, improving the efficiency and accuracy of oil pollution identification, reducing process consumption, and ensuring the quality of cigarette products.
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Abstract
Description
Technical Field
[0001] This invention relates to the field of cigarette production, and more specifically to a method for constructing a rapid identification and marking system for cigarette smoke. Background Technology
[0002] Oil fume pollution generated during cigarette production refers to oily spots of varying sizes and shapes on the cigarette paper of finished cigarettes, affecting the appearance of the cigarettes and, in severe cases, even the sensory quality. If oil fume pollution occurs, it is necessary to investigate all oil-using points throughout the entire process, including feeding, leaf processing, cutting and curing, blending and flavoring, stem preparation, storage, pneumatic feeding, rolling, and packaging, to check for leaks. On the one hand, due to the long process and numerous points of contact, finding the cause requires significant manpower and resources, consuming considerable time, and during this period, machinery is shut down, impacting production efficiency. On the other hand, the numerous oil-using points that generate oil fumes make accurate location difficult, easily leading to secondary oil fume pollution.
[0003] Regarding the problem of cooking fume pollution, existing technologies have been researched from aspects such as the selection of oil application points, oil types, and markers, aiming to distinguish different oil application points in cigarette production. For example, Zhong Bihuan et al. used gas chromatography to analyze and identify cigarette cooking fumes; Guo Shupei et al. used gas chromatography-mass spectrometry to analyze and establish characteristic spectra of oil source substances used in cigarette production, and then measured the spectrum of cigarette cooking fumes under the same analytical conditions. By comparing it with the characteristic spectra of oil source substances, they identified the oil source substances causing the fumes, thereby determining the specific production links and causes of fumes, providing support for improving cigarette product quality. However, these two methods cannot achieve rapid detection and effective localization.
[0004] To address these issues, this application presents a method for simultaneous localization of different oil products at multiple sites using fluorescent nano-quantum dots as labeling signals, which is not documented or reported in the prior art. Summary of the Invention
[0005] To overcome the above problems, this invention provides a method for constructing a rapid identification and marking system for cigarette fumes. This method uses fluorescent nano-quantum dots to construct a marking and positioning system for different types of oil and different application points. After oil fume pollution is detected during production, the markings on the cigarettes can quickly and accurately determine the location of leaks and potential hazards, preventing the recurrence of oil fumes due to the inability to locate the problem areas.
[0006] The technical solution adopted by this invention to solve its technical problem is as follows:
[0007] A method for constructing a rapid identification and labeling system for cigarette smoke, including
[0008] S1: The entire process of cigarette production is sorted out, including all oil-using points related to work-in-process that can affect the quality of work-in-process. The oil-using points are classified according to their degree of influence and numbered based on process, level, and sequence factors.
[0009] Identify the types of oil used at each oil application point, analyze the physicochemical properties of the oil, differentiate each type of oil, and establish a one-to-one correspondence between oil application points and oil types.
[0010] S2, Preparation of marking materials
[0011] Oil-based quantum nanodots were used as the labeling material.
[0012] The fluorescence signal of the nano-quantum dots is selected from the fluorescence signal that is far from the autofluorescence range of oil (400-450nm);
[0013] For example, by selecting oily nano-quantum dots with fluorescence signals of green (560nm), orange (600nm), and yellow (650nm), and encoding them through arrangement and combination, the marking of seven different oil products can be achieved;
[0014] Through repeated experiments on influencing factors (including composition, reaction temperature, reaction time, protective gas, and the structure of nano-quantum dots), the optimal experimental conditions for the labeling material were found to ensure that its fluorescence signal was strong and stable during identification.
[0015] S3, Characterization of Marking Materials
[0016] The physicochemical stability and optical properties of the labeling materials were studied;
[0017] The performance of the labeled materials was studied and characterized by analytical instruments, and the fluorescence emission peaks of different encoded oily nano-quantum dots were obtained.
[0018] The analytical instruments include: TEM (transmission electron microscope), fluorescence spectrophotometer, ultraviolet spectrophotometer, nanoparticle size analyzer, Zeta potentiometer, fluorescence microscope, and other analytical equipment;
[0019] S4, Marking principles for marking materials
[0020] Different marking methods are used depending on the characteristics of the oil at different application points:
[0021] Firstly, for oils with low self-interference, direct labeling of such oils can be performed to maximize the quantum yield of nano-quantum dots.
[0022] Secondly, for oils with strong self-interference, a "switch" mode signal marking and activation method is adopted: the signal of the nano-quantum dots is sealed and the signal activation part is mixed with the oil. When the signal activation part carried by the oil comes into contact with the signal-sealed nano-quantum dots, the fluorescence signal of the nano-quantum dots will be activated, thereby realizing the marking and positioning of this type of oil.
[0023] S5, compatible with application systems
[0024] Under optimal experimental conditions, nano-quantum dots were mixed with oils for practical applications based on labeling principles;
[0025] Among them, the nano quantum dots doped at different oil application points of the same type of oil are different, and the amount of nano quantum dots doped at different oil application points is controlled within 5%;
[0026] S6, marking system for oil product positioning
[0027] When oil fume pollution occurs, the location of the oil leak can be located by measuring the fluorescence signal of the oil stains on the cigarette.
[0028] First, the type of oil is determined through testing;
[0029] Secondly, by measuring the emission fluorescence peak position of the nano-quantum dots blended with the oil, the specific location of the oil leak point was further determined.
[0030] As an improvement to the above technical solution, S1 also includes: for the same type of oil at different application points, establishing characteristic standards for the oil at each application point, specifically including the usage duration, dosage per application, and fluorescence characteristics of the oil at different application points.
[0031] As an improvement to the above technical solution, S1 also includes: analyzing and recording the working time of each oil consumption point, corresponding one-to-one with the oil consumption point, and establishing a standard library of oil consumption point-oil product-usage cycle.
[0032] The beneficial effects of this invention are as follows:
[0033] This invention uses oil-based fluorescent nano-quantum dots as the signal component of a labeling system, constructing a labeling system capable of simultaneously labeling multiple oil spots. When oil fume pollution is detected during the production process, the location of oil leaks and potential hazards can be quickly and accurately determined based on the markers on the cigarettes. This avoids the recurrence of oil fume problems due to the inability to locate the problem locations, without affecting the efficacy of the oil itself. It effectively improves the efficiency and accuracy of cigarette oil pollution identification, promptly identifies oil pollution sites, reduces process consumption, and improves the quality of cigarette products.
[0034] Meanwhile, the physicochemical properties of nano-quantum dots are stable and they are mild in the environment. This method selects oil-based fluorescent nano-quantum dots, which have good compatibility with oil. By optimizing the experimental conditions, the quantum dots can be made to highlight their excellent fluorescence characteristics, and the sealing requirements are low. Detailed Implementation
[0035] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.
[0036] Example 1
[0037] A method for constructing a rapid identification and labeling system for cigarette smoke, including
[0038] S1: The entire process of cigarette production is sorted out, including oil-using points related to work-in-process that can affect the quality of work-in-process. Oil-using points are classified into levels according to the degree of influence, and digitally labeled according to process, level, and sequence factors.
[0039] Identify the types of oil used at each oil consumption point, analyze the physicochemical properties of the oil, classify and distinguish each type of oil, and establish a one-to-one correspondence between oil consumption point and oil type.
[0040] For the same type of oil at different application points, establish characteristic standards for the oil at each application point, specifically including the application duration, dosage per application, and fluorescence characteristics of the oil at different application points.
[0041] S2, Preparation of marking materials
[0042] Oil-based quantum nanodots were used as the labeling material.
[0043] The fluorescence signal of the nano-quantum dots is selected from the fluorescence signal that is far from the autofluorescence range of oil (400-450nm);
[0044] For example, by selecting oily nano-quantum dots with fluorescence signals of green (560nm), orange (600nm), and yellow (650nm), and encoding them through arrangement and combination, the marking of seven different oil products can be achieved;
[0045] By studying influencing factors (including composition, reaction temperature, reaction time, protective gas, and the structure of nano-quantum dots), repeated experiments were conducted to find the optimal experimental conditions for a certain labeling material, so as to ensure that its fluorescence signal is strong and stable during identification.
[0046] S3, Characterization of Marking Materials
[0047] The physicochemical stability and optical properties of the labeling materials were studied;
[0048] The performance of the labeled materials was studied and characterized by analytical instruments, and the fluorescence emission peaks of different encoded oily nano-quantum dots were obtained. The specific results are shown in Table 1.
[0049] The analytical instruments include: TEM (transmission electron microscope), fluorescence spectrophotometer, ultraviolet spectrophotometer, nanoparticle size analyzer, Zeta potentiometer, fluorescence microscope, and other analytical equipment;
[0050] Table 1. Fluorescence emission peaks corresponding to different nano-quantum dots
[0051]
[0052] S4, Marking principles for marking materials
[0053] Different marking methods are used depending on the characteristics of the oil at different application points:
[0054] Firstly, for oils with low self-interference, direct labeling of such oils can be performed to maximize the quantum yield of nano-quantum dots.
[0055] Secondly, for oils with strong self-interference, a "switch" mode signal marking and activation method is adopted: the signal of the nano-quantum dots is sealed and the signal activation part is mixed with the oil. When the signal activation part carried by the oil comes into contact with the signal-sealed nano-quantum dots, the fluorescence signal of the nano-quantum dots will be activated, thereby realizing the marking and positioning of this type of oil.
[0056] S5, compatible with application systems
[0057] Under optimal laboratory conditions, nano-quantum dots were mixed with oils for practical applications based on labeling principles.
[0058] Among them, the nano-quantum dots doped with different oil application points for the same type of oil are different, and the doping amount of nano-quantum dots at different oil application points is controlled within 5%. The specific doping amounts are shown in Table 2.
[0059] Table 2 Doping amounts of different oils with nano-quantum dots
[0060]
[0061]
[0062] (Among them A: CdSe / ZnS (560nm); B: CdSe / ZnS (600nm); C: CdSe / ZnS (650nm); D: CdTe / CdSe / ZnS (750nm)
[0063] S6, marking system for oil product positioning
[0064] When oil fume pollution occurs, the location of the oil leak can be located by measuring the fluorescence signal of the oil stains on the cigarette.
[0065] First, the type of oil is determined through testing;
[0066] Secondly, the exact location of the oil leak was determined by measuring the emission fluorescence peak position of the nano-quantum dots blended with the oil.
[0067] Specifically:
[0068] 1) Separate the cigarette paper and tobacco that are contaminated with oil fumes from the uncontaminated parts;
[0069] 2) The separated contaminated portion was soaked in toluene or oleylamine for 2 hours;
[0070] 3) Place 10 mL of sample in a fluorescence spectrophotometer and use an excitation wavelength of 365 nm. First, observe the fluorescence emission peak within 500 nm to determine the type of oil. Then, observe the fluorescence emission peak above 500 nm to determine the type of nano-quantum dots. Combined with Tables 1 and 2, finally determine the location of the oil leak.
[0071] In another embodiment, S1 further includes: for the same type of oil at different application points, establishing characteristic standards for the oil at each application point, specifically including the usage duration / cycle, dosage per application, and fluorescence characteristics of the oil at different application points, so as to further determine the specific location of the leak point in S6.
[0072] In another embodiment, S1 further includes: analyzing and recording the working time of each oil consumption point, corresponding one-to-one with the oil consumption point, and establishing a standard library of oil consumption point-oil-usage cycle, so that oil products outside the usage cycle can be excluded first when the oil product is located in the S6 marking system.
[0073] Example 2
[0074] This embodiment is a specific application of the construction method of the rapid identification and marking system for cigarette smoke described in Embodiment 1.
[0075] First, the entire process of cigarette production involves sorting out and classifying the oil-using points related to work-in-process and those that can affect the quality of work-in-process, and then binding them with oil products to establish a one-to-one correspondence.
[0076] As a supplement, oil application points can be classified and numbered according to their impact on the quality of work-in-process, process sequence, etc.
[0077] Subsequently, under optimal experimental conditions, nano-quantum dots with different labeling properties were mixed and labeled with oils at different application points based on labeling principles to construct a rapid identification and labeling system for cooking fumes, as detailed in Table 3.
[0078] Table 3. Process and Oil Application Point Markings
[0079] Process Use oil spots oil products Marking characteristics Blended with flavored stalks 3116-inch motorized car transmission 90# gear oil 481 Blended with flavored stalks 5113-inch motorized car transmission 90# gear oil 492 Stem segments 556 bin-type feeder material feeding trolley transmission device 90# gear oil 505 Stem segments 557 bin-type feeder material feeding trolley transmission device 220# Lubricating Oil 557 Blade treatment section B122 Vacuum Rehumidifier, A Discharge End 46# Anti-wear Hydraulic Oil 573 Cut into roasted pieces 325.1 Belt Conveyor Drive System #2 Lithium-based Grease 583 Cut into roasted pieces 344 Vibrating Conveyor Drive Unit #2 Lithium-based Grease 595
[0080] To verify the labeling, cigarette samples were selected, and a rapid identification and feedback test for cigarette smoke pollution was conducted manually. Based on the labeling characteristics and the corresponding oil application points and processes, the accuracy of the identification results was checked.
[0081] The experimental conditions are shown in Table 4, and the results show that:
[0082] The identification results of the rapid identification and labeling system for cigarette smoke samples were all successful.
[0083] Table 4. Feedback on Marking Characteristics
[0084] Sample number Marking characteristics Use oil spots Process correspond 1 481 3116-inch motorized car transmission Blended with flavored stalks √ 2 492 5113-inch motorized car transmission Blended with flavored stalks √ 3 505 556 bin-type feeder material feeding trolley transmission device Stem segments √ 4 557 557 bin-type feeder material feeding trolley transmission device Stem segments √ 5 573 B122 Vacuum Rehumidifier, A Discharge End Blade treatment section √ 6 583 325.1 Belt Conveyor Drive System Cut into roasted pieces √ 7 595 344 Vibrating Conveyor Drive Unit Cut into roasted pieces √
[0085] Example 3
[0086] As a supplement, this embodiment provides an example of the comparison relationship between a labeling system established between potential oil leakage points and nano-quantum dots in a cigarette production process in a practical application.
[0087] Table 5. Feedback between oil leakage points and nano-quantum dots in a certain labeled system.
[0088]
[0089]
[0090] It should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method for constructing a rapid identification and marking system for cigarette smoke, characterized in that: include S1: The entire process of cigarette production is sorted out, including all oil-using points related to work-in-process that can affect the quality of work-in-process. The oil-using points are classified according to their degree of influence and numbered based on process, level, and sequence factors. Identify the types of oil used at each oil application point, analyze the physicochemical properties of the oil, differentiate each type of oil, and establish a one-to-one correspondence between oil application points and oil types. S2, Preparation of marking materials Oil-based quantum nanodots were used as the labeling material. The fluorescence signal of the nano-quantum dots is selected from the fluorescence signal that is far from the autofluorescence range of the oil; By studying the influencing factors and conducting repeated experiments, we can find the optimal experimental conditions for the labeling material to ensure that its fluorescence signal is strong and stable during identification. S3, Characterization of Marking Materials The physicochemical stability and optical properties of the labeling materials were studied; The performance of the labeled materials was studied and characterized by analytical instruments, and the fluorescence emission peaks of different encoded oily nano-quantum dots were obtained. S4, Marking principles for marking materials Different marking methods are used depending on the characteristics of the oil at different application points: Firstly, for oils with low self-interference, direct labeling of such oils can be performed to maximize the quantum yield of nano-quantum dots. Secondly, for oils with strong self-interference, a "switch" mode signal marking and activation method is adopted: the signal of the nano-quantum dots is sealed and the signal activation part is mixed with the oil. When the signal activation part carried by the oil comes into contact with the signal-sealed nano-quantum dots, the fluorescence signal of the nano-quantum dots will be activated, thereby realizing the marking and positioning of this type of oil. S5, compatible with application systems Under optimal experimental conditions, nano-quantum dots were mixed with oils for practical applications based on labeling principles; Among them, the nano quantum dots doped at different oil application points of the same type of oil are different, and the amount of nano quantum dots doped at different oil application points is controlled within 5%; S6, marking system for oil product positioning When oil fume pollution occurs, the location of the oil leak can be located by measuring the fluorescence signal of the oil stains on the cigarette. First, the type of oil is determined through testing; Secondly, by measuring the emission fluorescence peak position of the nano-quantum dots blended with the oil, the specific location of the oil leak point was further determined.
2. The method for constructing the rapid identification and marking system for cigarette fumes according to claim 1, characterized in that: S1 also includes: for the same type of oil at different application points, establish characteristic standards for the oil at each application point, specifically including the usage duration, dosage per application, and fluorescence characteristics of the oil at different application points.
3. The method for constructing the rapid identification and marking system for cigarette smoke according to claim 1, characterized in that: S1 also includes: analyzing and recording the working time of each oil consumption point, corresponding one-to-one with the oil consumption point, and establishing a standard library of oil consumption point-oil product-use cycle.
4. The method for constructing the rapid identification and marking system for cigarette smoke according to claim 1, characterized in that: The fluorescence signal selection of the nano-quantum dots described in S2 is based on oil-based nano-quantum dots with fluorescence emission peaks of 560nm green, 600nm orange, 650nm yellow, and 750nm red.
5. The method for constructing the rapid identification and marking system for cigarette smoke according to claim 1, characterized in that: The influencing factors mentioned in S2 include: composition, reaction temperature, reaction time, protective gas, and the structure of the nano-quantum dots.
6. The method for constructing the rapid identification and marking system for cigarette smoke according to claim 1, characterized in that: The analytical instruments described in S3 include: TEM transmission electron microscope, fluorescence spectrophotometer, ultraviolet spectrophotometer, nanoparticle size analyzer, Zeta potential meter, and fluorescence microscope.
7. The method for constructing the rapid identification and marking system for cigarette smoke according to claim 1, characterized in that: The S6 marking system specifically includes the following oil product positioning: 1) Separate the cigarette paper and tobacco that are contaminated with oil fumes from the uncontaminated parts; 2) The separated contaminated portion should be soaked in toluene or oleylamine for at least 2 hours; 3) Take 10±5mL of sample and place it in a fluorescence spectrophotometer. Use an excitation wavelength of 365 nm. First, observe the fluorescence emission peak within 500nm to determine the type of oil. Then, observe the fluorescence emission peak that appears after 500nm to determine the type of nano-quantum dots. Combine the correspondence between oil spot, oil type, and nano-quantum dots to finally determine the location of the oil leak.
Citation Information
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