Method for rapidly identifying cigarette oil fume

Abstract

This invention discloses a rapid identification method for cigarette cooking fumes, including steps such as establishing a detection standard library, setting up detection equipment, standardizing detection procedures, verifying the detection system, standardizing detection operations, and rapid identification of cooking fumes. Based on this method, when cigarette cooking fume pollution is detected, samples can be promptly collected and rapidly identified through the above steps, effectively locating and tracing the type and location of the oil. This invention constructs a rapid, point-to-point detection system for cigarette cooking fume pollution, achieving precise location, avoiding the generation of secondary cooking fumes, shortening troubleshooting time, reducing downtime, and improving production efficiency. This method standardizes sample processing procedures and detection operations, making it convenient and reliable to use.

Description

Technical Field

[0001] This invention relates to the field of cigarette production, and more specifically to a rapid method for identifying 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. Summary of the Invention

[0004] To overcome the above problems, this invention provides a rapid identification method for cigarette cooking fumes. This method establishes a detection standard library based on the classification number and characteristic standards of various cooking oils during the production process, and builds a sensitive and convenient detection system. Within a certain number of cooking oil usage points, it can achieve the goal of "one-end detection, overall understanding".

[0005] The technical solution adopted by this invention to solve its technical problem is as follows:

[0006] Rapid identification methods for cigarette smoke, including

[0007] S1, Establish a testing standard library

[0008] Establish a testing standard library based on the classification number and characteristic standards of the oil products in the production line;

[0009] S11 analyzes the physicochemical properties of the oils based on the type of oil used at each oil application point, classifies and distinguishes each type of oil, and makes it correspond to each oil application point.

[0010] S12 uses oil-based nano-quantum dots as a labeling material, and mixes nano-quantum dots with different codes with oils at different application points under laboratory conditions;

[0011] The performance of labeled materials in different blend systems was characterized by analytical instruments, and the fluorescence emission peaks of different encoded oily nano-quantum dots were obtained.

[0012] A detection standard library based on the detection comparison relationship between oil products and nano-quantum dots was established based on S11 and S12;

[0013] in:

[0014] The nano-quantum dots selected as labeling materials in S12 have fluorescence signals that are far from the autofluorescence range of oil (400-450nm), specifically A: CdSe / ZnS (green 560nm), B: CdSe / ZnS (orange 600nm), C: CdSe / ZnS (yellow 650nm), and D: CdTe / CdSe / ZnS (red 750nm).

[0015] The amount of nano-quantum dots doped with the same type of oil at different application points in S12 is different, and the amount of nano-quantum dots doped at different application points is controlled within 5%.

[0016] S2, Setting up testing equipment

[0017] Based on the characteristics of the oil, a rapid fluorescence detection device capable of qualitative and quantitative analysis for collecting fluorescence signals of nano-quantum dots was selected as the detection device. It can identify nano-quantum dots based on fluorescence emission spectra.

[0018] S3, Standardization of testing procedures

[0019] Standardize the sample processing procedure and establish a stable pre-processing procedure for the objects to be tested:

[0020] ① Separate the cigarette paper and tobacco that are contaminated with oil fumes from the uncontaminated parts;

[0021] ② The separated contaminant must be soaked in toluene or oleylamine for at least 2 hours before it can be used for detection;

[0022] S4, Verification of the testing system;

[0023] The detection system's detection time, sensitivity, specificity, and other factors were verified.

[0024] Repeated testing experiments were conducted to verify the identification results and rule out erroneous diagnoses.

[0025] S5, Standardization of testing operations

[0026] Standardize the detection operation of fluorescence rapid detection equipment to reduce the technical requirements for operators:

[0027] The instrument parameters are set as follows: voltage 700mV, slit width 5nm, and scanning speed 1000.

[0028] S6, Rapid Identification of Cooking Fumes

[0029] When cigarette smoke pollution is detected, samples are taken in a timely manner and quickly identified based on S3 to S5 to locate and trace the type and location of the oil.

[0030] Take 10±5mL of sample and place it in the fluorescence rapid detection device, using an excitation wavelength of 365nm;

[0031] First, observe the fluorescence emission peak within 500nm to determine the type of oil.

[0032] Then, observe the fluorescence emission peak that appears after 500nm to determine the type of nano-quantum dots. The location of the oil leak can then be determined based on the detection standard library.

[0033] The beneficial effects of this invention are as follows:

[0034] This invention, as a rapid identification method for cigarette cooking fumes, first establishes a testing standard library based on the classification number and characteristic standards of the oil products on the production line. When oil fume pollution is detected, samples are promptly extracted. The pretreatment method of the samples, the testing method of the samples, the setting of testing indicators, the testing sensitivity, and the specificity are analyzed and studied to construct a rapid detection system for oil fume pollution at fixed points. This system can quickly and accurately determine the location of oil leaks and potential hazards, avoiding the recurrence of oil fume problems due to the inability to find the problem location, without affecting the efficacy of the oil itself.

[0035] First, standardize the actual sample processing procedures and establish a stable pre-processing procedure for the objects to be tested;

[0036] Secondly, the detection system's detection time, sensitivity, specificity, and other factors are checked to improve identification accuracy;

[0037] Third, the quantitative and qualitative analysis results of the instrument's detection are processed to reduce the technical requirements for operators;

[0038] Fourth, based on the results of fluorescence detection, the type and location of oil products can be quickly located and traced, potential hazards can be identified, faults can be eliminated, and production can be resumed. Attached Figure Description

[0039] The present invention will be further described below with reference to the accompanying drawings and specific embodiments:

[0040] Figure 1This is a schematic diagram of actual fluorescence emission for rapid identification of cigarette samples contaminated with oil fume, as presented in this invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Example 1

[0043] Rapid identification methods for cigarette smoke, including

[0044] S1, Establish a testing standard library

[0045] Establish a testing standard library based on the classification number and characteristic standards of the oil products in the production line;

[0046] S11 analyzes the physicochemical properties of the oils based on the type of oil used at each oil application point, classifies and distinguishes each type of oil, and makes it correspond to each oil application point.

[0047] Currently, there are four types of machine oil used on the production line that may cause oil leakage pollution: anti-wear hydraulic oil, lubricating oil, gear oil, and lithium-based grease. Their fluorescence emission under ultraviolet irradiation is not the same.

[0048] S12 uses oily nano-quantum dots as a labeling material, and mixes nano-quantum dots with different codes (different combinations) with oils with different application points under laboratory conditions;

[0049] The performance of labeled materials in different blend systems was characterized by analytical instruments, and the fluorescence emission peaks of different encoded oily nano-quantum dots were obtained.

[0050] A detection standard library based on the detection comparison relationship between oil products and nano-quantum dots was established based on S11 and S12, as shown in Table 1 example;

[0051] Table 1. Comparison of Detection Results Between Oil Products and Nano-Quantum Dot Fluorescence Emission Color Systems

[0052]

[0053]

[0054] in:

[0055] The nano-quantum dots selected as labeling materials in S12 have fluorescence signals that are far from the autofluorescence range of oil (400-450nm), specifically A: CdSe / ZnS (green 560nm), B: CdSe / ZnS (orange 600nm), C: CdSe / ZnS (yellow 650nm), and D: CdTe / CdSe / ZnS (red 750nm).

[0056] The nano-quantum dots doped with different oil application points in S12 are different. The doping amount of nano-quantum dots at different oil application points is controlled within 5%, as shown in Table 2 for example.

[0057] Table 2 Oil Products - Nano Quantum Doping Table

[0058]

[0059]

[0060] S2, Setting up testing equipment

[0061] Based on the characteristics of the oil, a rapid fluorescence detection device capable of qualitative and quantitative analysis for collecting fluorescence signals of nano-quantum dots was selected as the detection device. It can identify nano-quantum dots based on fluorescence emission spectra.

[0062] S3, Standardization of testing procedures

[0063] Standardize the sample processing procedure and establish a stable pre-processing procedure for the objects to be tested:

[0064] ① Separate the cigarette paper and tobacco that are contaminated with oil fumes from the uncontaminated parts;

[0065] ② The separated contaminant must be soaked in toluene or oleylamine for at least 2 hours before it can be used for detection;

[0066] S4, Verification of the testing system;

[0067] The detection system's detection time, sensitivity, specificity, and other factors were verified.

[0068] Repeated testing experiments (at least 3 times) were conducted to verify the identification results and rule out erroneous diagnoses.

[0069] S5, Standardization of testing operations

[0070] Standardize the detection operation of fluorescence rapid detection equipment to reduce the technical requirements for operators:

[0071] The instrument parameters are set as follows: voltage 700mV, slit width 5nm, and scanning speed 1000.

[0072] S6, Rapid Identification of Cooking Fumes

[0073] When cigarette smoke pollution is detected, samples are taken in a timely manner and quickly identified based on S3 to S5 to locate and trace the type and location of the oil.

[0074] Take 10±5mL of sample and place it in a fluorescence rapid detection device (fluorescence spectrophotometer) using an excitation wavelength of 365nm;

[0075] First, observe the fluorescence emission peak within 500nm to determine the type of oil.

[0076] Then, observe the fluorescence emission peak that appears after 500nm to determine the type of nano-quantum dots. The location of the oil leak can then be determined based on the detection standard library.

[0077] In this embodiment, S12 uses oil-based nano-quantum dots as the labeling material, and the labeling material follows the following labeling principles:

[0078] Different marking methods are used depending on the characteristics of the oil at different application points:

[0079] Firstly, for oils with low self-interference, direct labeling of such oils can be performed to maximize the quantum yield of nano-quantum dots.

[0080] 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.

[0081] In another embodiment, S11 further includes: for the same type of oil at different application points, establishing characteristic standards for each application point of the oil in this type of oil, specifically including the usage duration / cycle of this oil at different application points, the dosage used each time, and its fluorescence characteristics, so as to narrow down the range when determining the specific location of the oil leak.

[0082] In another embodiment, S11 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 locating oil products.

[0083] Example 2

[0084] This embodiment serves as an application example of Embodiment 1.

[0085] Rapid identification of cigarette smoke pollution samples based on the method in Example 1 is shown in the figure. Figure 1 .

[0086] exist Figure 1 In the figure, the solid curve represents the actual measurement results of the cigarette sample, and the dashed curve represents the fluorescence emission peak of the lithium-based grease.

[0087] First, by observing the position of the fluorescence emission peak within 500nm, it was found that the position of the fluorescence emission peak of the actual sample was the same as that of the lithium-based grease. That is, it can be determined that the leakage occurred at the relevant usage site of the lithium-based grease.

[0088] Subsequently, the fluorescence emission at wavelengths greater than 500 nm was observed, and a single fluorescence emission was observed at a position of approximately 560 nm. According to Tables 1 and 2, the oil leak point is "379-inch motor vehicle transmission device, bearing".

[0089] Based on the measurement results, proceed to the relevant point on the production line for processing.

[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 rapid identification method for cigarette smoke, characterized in that: include S1, Establish a testing standard library Establish a testing standard library based on the classification number and characteristic standards of the oil products in the production line; S11 analyzes the physicochemical properties of the oils based on the type of oil used at each oil application point, classifies and distinguishes each type of oil, and makes it correspond to each oil application point. S12 uses oil-based nano-quantum dots as a labeling material, and mixes nano-quantum dots with different codes with oils at different application points under laboratory conditions; The performance of labeled materials in different blend systems was characterized by analytical instruments, and the fluorescence emission peaks of different encoded oily nano-quantum dots were obtained. A detection standard library based on the detection comparison relationship between oil products and nano-quantum dots was established based on S11 and S12; S2, Setting up testing equipment Based on the characteristics of the oil, a rapid fluorescence detection device capable of qualitative and quantitative analysis for collecting fluorescence signals of nano-quantum dots was selected as the detection device. It can identify nano-quantum dots based on fluorescence emission spectra. S3, Standardization of testing procedures Standardize the sample processing procedure and establish a stable pre-processing procedure for the objects to be tested: ① Separate the cigarette paper and tobacco that are contaminated with oil fumes from the uncontaminated parts; ② The separated contaminant must be soaked in toluene or oleylamine for at least 2 hours before it can be used for detection; S4, Verification of the testing system; The detection time, sensitivity, and specificity of the detection system were verified. Repeated testing experiments were conducted to verify the identification results and rule out erroneous diagnoses. S5, Standardization of testing operations Standardize the detection operation of fluorescence rapid detection equipment to reduce the technical requirements for operators: S6, Rapid Identification of Cooking Fumes When cigarette smoke pollution is detected, samples are promptly taken and quickly identified based on S3~S5 to pinpoint the type and location of the oil. Take 10±5mL of sample and place it in the fluorescence rapid detection device, using 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. The location of the oil leak can be determined according to the detection standard library. The fluorescence signal of the nano-quantum dots selected as the labeling material in S12 is far from the autofluorescence range of the oil. The amount of nano-quantum dots doped with the same type of oil at different application points in S12 is controlled to be within 5%.

2. The rapid identification method for cigarette smoke according to claim 1, characterized in that: The nano-quantum dots are selected as A: CdSe / ZnS, B: CdSe / ZnS, C: CdSe / ZnS, and D: CdTe / CdSe / ZnS.

3. The rapid identification method for cigarette smoke according to claim 1, characterized in that: In the S5 detection operation standardization, the instrument parameters of the fluorescence rapid detection equipment are set as follows: voltage 700mV, slit width 5nm.

4. The rapid identification method for cigarette smoke according to claim 1, characterized in that: The types of oils used at each oil application point specified in S11 include anti-wear hydraulic oil, lubricating oil, gear oil, and lithium-based grease.

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