Method and system for detecting smoke aroma components of electronic atomizer

Abstract

The invention relates to the technical field of electronic atomizer smoke detection, and discloses an electronic atomizer smoke aroma component detection method and system, and the method comprises the following steps: collecting a smoke sample, adopting a stable suction source and a constant smoking frequency controller, and simulating a human body smoking process; introducing the collected smoke sample into a gas analysis device, and separating aroma components through gas chromatography or high performance liquid chromatography; and carrying out mass spectrometry and qualitative analysis on the extracted aroma components to obtain a mass spectrogram, and comparing the mass spectrogram with a standard spectrogram library to identify the aroma components in the smoke. The detection method based on quantitative aroma characteristic indexes is adopted, accurate analysis of the aroma components of the smoke of the electronic atomizer is achieved, and the problems that the detection method is high in subjectivity, low in detection efficiency and unstable in result are solved; through systematized numeralization indexes, the aroma components can be rapidly and accurately analyzed, and the detection efficiency and accuracy are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic atomizer smoke detection, and specifically to a method and system for detecting the aroma components of electronic atomizer smoke. Background Art

[0002] With the wide application of electronic atomizers in the market, aroma has become one of the most critical factors in the user experience. As consumers' requirements for the quality of e-cigarettes continue to increase, the demand for aroma detection is becoming more urgent. Aroma not only affects consumers' acceptance and satisfaction with e-cigarettes but also directly relates to the market competitiveness of e-cigarette products. The aroma quality of e-cigarettes has become an important reference indicator when consumers choose products. The uniqueness and stability of aroma often determine the sales performance and brand loyalty of products.

[0003] However, most of the existing e-cigarette aroma detection methods rely on manual sensory evaluation, and this method has many limitations that cannot be ignored. First, manual sensory evaluation is highly subjective, and the evaluation criteria vary from person to person, making it impossible to ensure the stability and consistency of each detection result. Second, manual detection is inefficient and is easily affected by external factors such as the environment and the physiological state of the operator, resulting in unstable and inaccurate detection results. In addition, traditional sensory evaluation methods are also difficult to conduct comprehensive and accurate qualitative and quantitative analysis of aroma components and cannot provide sufficient scientific basis for product improvement.

[0004] Therefore, the present invention provides a method and system for detecting the aroma components of electronic atomizer smoke to solve the deficiencies in the existing technology. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a method and system for detecting the aroma components of electronic atomizer smoke, solving the problem that manual sensory evaluation is highly subjective, the evaluation criteria vary from person to person, and it is impossible to ensure the stability and consistency of each detection result.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for detecting the aroma components of electronic atomizer smoke, comprising the following steps: Collect a smoke sample, using a stable suction source and a constant smoking frequency controller to simulate the human smoking process; Introduce the collected smoke sample into a gas analysis device, and separate the aroma components by gas chromatography or high-performance liquid chromatography; Conduct qualitative analysis on the extracted aroma components by mass spectrometry analysis, obtain a mass spectrum diagram and compare it with a standard spectrum library to identify the aroma components in the smoke; Conduct quantitative analysis on the aroma components by gas chromatography analysis technology and calculate the content of each aroma component; Calculate the aroma characteristic indexes, including aroma quality, aroma quantity and harmony; Classify the smoke aroma according to the aroma characteristic indexes into high-quality aroma, medium-quality aroma and low-quality aroma, classified according to the quality, quantity and harmony of the aroma; Feed back the analysis result mechanism to the design and production departments of the electronic cigarette atomizer for optimizing the e-liquid formula of the product, improving the atomizer core structure or optimizing the parameters of the smoking process.

[0007] Preferably, the aroma characteristic indexes include the following calculation formulas: Calculation formula for aroma quality: Where, Q1 is the aroma quality evaluation value, C i is the content of the i-th aroma component, n is the total number of aroma components, W i is the weight of the i-th aroma component, and the weight is determined according to the importance and comfort of the aroma component.

[0008] Calculation formula for aroma quantity: Where, Q2 is the total amount of aroma components, C i is the content of the i-th aroma component, n is the total number of aroma components.

[0009] Calculation formula for harmony: Where, Q3 is the balance degree of aroma components, and is is the average content of all aroma components, C i is the content of the i-th aroma component, n is the total number of aroma components.

[0010] Classify the smoke aroma according to the calculated aroma characteristic indexes into high-quality aroma, medium-quality aroma and low-quality aroma. The standard for high-quality aroma is high aroma quality, moderate aroma quantity and good harmony.

[0011] Preferably, the aroma characteristic indexes are used to classify the smoke aroma into: High-quality aroma, medium-quality aroma and low-quality aroma. The standard for high-quality aroma is high aroma quality, moderate aroma quantity and good harmony; the standard for medium-quality aroma is that the aroma quality, aroma quantity and harmony are all at a medium level; The standard for low-quality aroma is low aroma quality, insufficient aroma quantity and poor harmony.

[0012] Preferably, the aroma characteristic indexes are fed back to the design and production departments of the electronic cigarette atomizer through the feedback mechanism for optimizing the e-liquid formula of the electronic cigarette product, improving the atomizer core structure or optimizing the parameters of the smoking process.

[0013] Preferably, the gas chromatograph analyzer includes a cold trap for further purifying the aroma components in the smoke sample and ensuring the stability of the purity and concentration of the aroma components.

[0014] Preferably, the gas analysis device has an automatic adjustment function and can automatically adjust the analysis parameters according to the change in the concentration of the smoke sample. The automatic adjustment formula is: C y = α·C x + β; where C y is the adjusted concentration value, C x is the current concentration value, and α and β are adjustment coefficients, which are dynamically adjusted according to the change in the sample concentration.

[0015] Preferably, the feedback mechanism automatically adjusts the product design based on the calculated aroma characteristic index, including the e-liquid formula, atomizer design, and parameters of the smoking process, so as to optimize the aroma quality and user experience of the electronic cigarette. The feedback mechanism is automatically adjusted through the following formula: P z = γ·P x + δ·Q s ; where P z is the optimized product design parameter, P x is the current product design parameter, Q s is the aroma quality score, and γ and δ are adjustment coefficients, which dynamically adjust the product design parameters according to the aroma quality score.

[0016] Preferably, the collection of the smoke sample works through the following steps: Equip a stable suction source and a constant smoking frequency controller to simulate the human smoking process and ensure that the collected smoke sample is representative; The collection device includes a smoking frequency controller, which can accurately adjust the smoking frequency to ensure the stability and consistency of smoke collection; The collected smoke sample is introduced into the gas analysis device through a gas transmission pipeline to avoid any contamination or leakage during the collection process and ensure the accuracy of the sample.

[0017] Preferably, the qualitative analysis identifies the characteristic aroma components in the smoke by comparing the mass spectrometry diagram with the standard spectral library.

[0018] The present invention also provides an electronic atomizer smoke aroma component detection system, including: A smoke collection device for stably collecting the smoke sample released by the electronic atomizer; A gas analysis device, including a gas chromatograph or a high performance liquid chromatograph, is used for separating, extracting and quantitatively analyzing the aroma components in a smoke sample; A data processing module is used for qualitatively and quantitatively analyzing the aroma components and calculating aroma characteristic indexes, including aroma quality, aroma quantity and harmony; A feedback module is used for feeding back the aroma characteristic indexes to the design and production departments of the electronic atomizer to optimize the e-liquid formula, atomizing core structure and smoking process parameters of the electronic cigarette.

[0019] The present invention provides a method and system for detecting the aroma components of the electronic atomizer smoke, having the following beneficial effects: 1. The present invention adopts a detection method based on quantifying aroma characteristic indexes, achieving precise analysis of the aroma components of the electronic atomizer smoke; compared with the method relying on artificial sensory evaluation in the prior art, it solves the problems of strong subjectivity, low detection efficiency and unstable results; through systematic numerical indexes, the aroma components can be analyzed quickly and accurately, greatly improving the detection efficiency and accuracy.

[0020] 2. The present invention adopts a technical solution of an automatic feedback mechanism and product design optimization. Different from the traditional product relying on experience adjustment, the present invention realizes intelligent adjustment of product design. Through real-time optimization of design parameters such as the e-liquid formula and atomizing core structure of the product by data-based aroma quality scoring, the stability and consistency of the product aroma are ensured; this technical solution can effectively avoid unnecessary manual intervention in the product optimization process, thereby improving the overall design accuracy and user experience.

[0021] 3. The present invention successfully improves the separation precision of aroma components by introducing the optimal control theory and quantum physics model; compared with the conventional gas chromatography analysis in the prior art, the present invention significantly reduces the errors that may occur in the analysis process through more precise physical modeling and consideration of interference effects; this not only improves the efficiency of aroma separation, but also ensures the high reliability of the detection results.

[0022] 4. The present invention combines intelligent data processing and real-time feedback adjustment mechanism to optimize the operation efficiency of the aroma component detection system; different from the static adjustment detection method in the prior art, the system of the present invention can adjust analysis parameters in real time, automatically respond to the change of aroma concentration, and ensure the adaptability and precision of each detection; the introduction of this technology greatly improves the flexibility and precision of the system, reduces manual intervention, and improves the automation level of the detection system. Description of the Drawings

[0023] Figure 1 is the flowchart of the method steps of the present invention; Figure 2 is the system architecture diagram of the present invention. Detailed implementation manners

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0025] Please refer to the attached Figure 1 , the embodiment of the present invention provides a method for detecting the smoke aroma components of an electronic atomizer. Through precise aroma component analysis and an automated optimization feedback mechanism, the instability problem in the aroma quality control of traditional electronic atomizers is solved, the aroma consistency and user experience are further improved, and thus the market competitiveness of the product is enhanced, including the following steps: S1. Smoke sample collection; S2. Aroma component separation; S3. Qualitative analysis of aroma components; S4. Quantitative analysis of aroma components; S5. Calculation and classification of aroma characteristic indexes; S6. Automatic adjustment function, and adjust the electronic atomizer through a feedback mechanism; S7. Apply the aroma characteristic indexes to the product design optimization through the feedback mechanism.

[0026] For step S1, in this embodiment, the smoke collection device first adopts a combination of a stable suction source and a constant smoking frequency controller to simulate the smoking process of the human body. The smoking frequency controller can precisely adjust the periodicity and time of smoking, so that the smoke samples collected each time are consistent in time and inhalation volume. This design can reduce the error in the collection process and improve the accuracy of subsequent analysis.

[0027] Specifically, the role of the smoking frequency controller is to simulate the inhalation cycle in normal smoking behavior. Usually, each smoking process needs to maintain a certain inhalation time and suction value. For example, the smoking cycle can be set to inhale for 5 seconds and pause for 2 seconds, and the inhalation suction within each cycle can be stably maintained according to the control requirements of the device. Through this precise frequency control, the collection device ensures the stability and representativeness of each smoking process.

[0028] In order to better simulate the smoking behavior of the human body, the suction source in this embodiment can be finely adjusted by an electric pump. The role of the electric pump is to extract the smoke from the atomizer through a continuous and controllable suction source and transport it to the collection device. According to the requirements of the smoke sample, the power and inhalation frequency of the suction source can be flexibly adjusted.

[0029] In a possible implementation, the device further includes a gas transmission pipeline for transporting the collected smoke sample to an analysis device. The design of the gas transmission pipeline ensures the tightness of the sample, avoiding contact between the sample and the external environment during transmission and any potential contamination. At this stage, the system maintains high tightness and stability.

[0030] During the collection process, the device maintains a certain temperature through a temperature control system to avoid affecting the stability and accuracy of the sample due to temperature fluctuations. Through reasonable temperature control, it is ensured that the physical and chemical properties of the smoke sample do not change drastically, guaranteeing its reliability in subsequent analysis.

[0031] To quantify and control the parameters during the collection process, a mathematical model is introduced in this embodiment to describe the relationship between smoking frequency, suction force, and smoke concentration. For example, during the collection process, the power P of the suction source y and the smoking frequency f x are related and can be expressed by the following formula: P y = z·f x + p; where z and p are adjustment coefficients. z represents the sensitivity of the suction source to the smoking frequency, reflecting the linear relationship between suction force and frequency, and p represents the basic set value of the suction source when the smoking frequency is zero, usually used to compensate for the starting point. f x is the inhalation frequency. This formula indicates that there is a certain linear relationship between suction force and inhalation frequency. By adjusting the suction force and frequency, the smoke flow rate during the collection process can be precisely controlled.

[0032] In addition, on the basis of ensuring the control of smoking frequency and suction force, the collection device can automatically adjust its working state when it detects changes in smoke concentration in real time. This automatic adjustment process can be achieved through the following feedback control formula: C y = α·C x + β; where C y is the adjusted concentration value, C x is the current concentration value, and α and β are adjustment coefficients. α and β are dynamically adjusted according to the change in sample concentration. α represents the feedback coefficient of concentration adjustment, which reflects the influence of the current concentration on the adjusted concentration. Usually, it is a proportional factor that determines the adjustment intensity. β represents an offset, usually used to provide a certain fixed adjustment value during the concentration adjustment process to ensure that the final concentration meets the preset conditions. According to the change in smoke concentration, the device can automatically adjust the suction force and frequency to ensure the stability and representativeness of the sample.

[0033] As an option, in some embodiments, the smoke collection device employs an automated sampling mechanism. This mechanism can collect smoke regularly or on demand according to preset criteria, ensuring a high degree of consistency in each sample collected. To this end, the system can use a collection pipeline with a constant air flow to avoid any unnecessary disturbances.

[0034] In another embodiment, the gas analysis device uses high-precision sensors to monitor the concentration of the collected smoke samples in real time. The precision of these sensors can reach the microgram level, and they can provide accurate concentration data at any moment during the collection process. This data can be fed back to the collection device to help the system adjust the collection speed and ensure that the concentration of the smoke samples in each cycle meets the requirements.

[0035] For step S2, complex aroma components are separated by gas chromatography (GC) or high-performance liquid chromatography (HPLC) techniques, providing accurate data support for subsequent qualitative and quantitative analyses. Through precise separation, we can ensure the purity of the aroma components and their concentrations in the sample, which is crucial for improving the accuracy of the overall detection results.

[0036] Generally, the separation process of aroma components mainly relies on the partitioning effect of chromatography techniques. During this process, aroma molecules in the sample interact with the stationary phase in the chromatographic column to varying degrees, causing different components to pass through the chromatographic column at different rates, thus achieving separation. Chromatographic analysis can effectively separate the complex mixture in the sample according to different migration rates, enabling each aroma component to form an independent peak on the chromatogram, providing clear and identifiable data for subsequent qualitative and quantitative analyses.

[0037] In this embodiment, gas chromatography (GC) technology is used to separate the aroma components in the smoke sample. In the GC device, the smoke sample enters the heated chromatographic column through the injection port. After certain temperature conditions, the aroma components in the sample react with the gas mobile phase and interact with the stationary phase in the chromatographic column, resulting in different components migrating at different speeds in the chromatographic column, thus obtaining different peaks.

[0038] As an option, in some embodiments, if there are components in the sample that are difficult to separate or large molecules, liquid chromatography (HPLC) technology can be used as an alternative. HPLC uses a liquid as the mobile phase and pushes the sample through the chromatographic column for separation by a pressurized pump. Compared with GC, HPLC is more efficient in dealing with high molecular weight, non-volatile, and thermosensitive components.

[0039] Specifically, purification is carried out using a cold trap or an adsorption column. The cold trap can condense larger molecules or aroma components with higher boiling points through low temperature, thereby enhancing the separation effect of these components. The adsorption column uses chemical adsorption to remove interfering substances in the sample, ensuring that the final obtained aroma components have high purity and stable concentration, and further improving the reliability of the analysis results.

[0040] In some embodiments, the process of chromatographic separation is quantitatively analyzed by the following formula: where C i is the concentration of the i-th aroma component, A i is the peak area of the i-th aroma component, and k3 is the calibration coefficient, which is determined based on the ratio of the known concentration to the peak area of the standard sample.

[0041] In another possible implementation, if the similarity between aroma components is high, or the aroma components are complex, the two - dimensional chromatographic separation technique is very effective. By first using GC for preliminary separation and then using HPLC for further fine separation, a more accurate separation effect can be obtained. The two - dimensional chromatographic separation technique not only improves the separation efficiency but also reduces the peak overlap of different aroma components, ensuring that the concentration of each component is accurately measured.

[0042] Specifically, the implementation of the two - dimensional chromatographic separation technique can optimize the migration speed of different chromatographies through the following formula: Specifically, the implementation of the two - dimensional chromatographic separation technique can optimize the migration speed of different chromatographies through the following formula: where R f is the distribution factor, representing the migration rate of the aroma component, t R is the retention time of the aroma component, that is, the time required for the component to reach the detector from the injection port, t M is the baseline time of the solvent, that is, the migration time of the mobile phase. By optimizing R f , the separation efficiency and precision can be controlled, and thus the detection precision of the aroma components can be improved.

[0043] In certain embodiments, if the aroma components have a complex structure or multi - component overlap, on - line mass spectrometry (MS) analysis technology can be combined with chromatographic separation technology to further improve the separation precision and the accuracy of qualitative analysis. Mass spectrometry can quickly and accurately analyze the mass of the separated aroma components to determine the molecular weight and structure of the components. Combining mass spectrometry and chromatographic technology can not only improve the separation precision but also qualitatively analyze the components in real - time, avoiding problems such as insufficient resolution or peak overlap that may exist in traditional chromatography.

[0044] For step S3, in this embodiment, after the aroma components are separated, the aroma components separated by the chromatographic column of the sample are guided into a mass spectrometer for qualitative analysis. Mass spectrometry is a powerful analytical method that can accurately identify the molecular structures of various complex aroma components in the smoke. Through the ionization process, the aroma components are converted into charged ions, and then these ions are separated, detected, and quantitatively analyzed by the mass analysis system. The characteristic ion spectra of each aroma component are detected and compared with the standard spectral library to confirm the types and contents of the aroma components.

[0045] Generally, the mass spectrometer adopts electron impact (EI) ionization. By bombarding the sample molecules with a high-energy electron beam, the molecules will break down and release charged ions. These ions are separated according to the mass-to-charge ratio (m / z) and recorded on the mass spectrum. Each peak on the mass spectrum represents an aroma molecule. The size of the peak is related to the abundance of the ions, and the position of the peak reflects the mass-to-charge ratio of the ions.

[0046] As an option, when there are more polar substances or complex components in the sample, chemical ionization (CI) can be selected for ionization. Different from electron impact, chemical ionization generates ions by reacting reactive ions in the gas with the sample molecules. This method can reduce fragmentation reactions and is more suitable for analyzing polar molecules or molecules that are difficult to analyze under electron impact conditions.

[0047] Specifically, the aroma components are converted into charged ions through the ion source of the mass spectrometer. These ions are separated by the action of the mass analyzer and finally form a characteristic mass spectrum. Each characteristic peak in the mass spectrum represents a specific aroma component or its breakdown product. By comparing the mass spectrum with the spectra in the standard database, the types of each aroma component in the sample can be accurately identified. Mass spectrometry not only helps in the qualitative identification of aroma components but also provides strong support for quantitative analysis.

[0048] In a possible implementation, each peak in the mass spectrum corresponds to a different aroma component. By comparing with the known aroma molecule spectra, the accuracy of the aroma components can be confirmed. To ensure the reliability and efficiency of the results, when selecting the database, it should contain various types of aroma molecule data to ensure that all possible aroma components can be covered. For example, the system may assign different types of aroma components to different categories and accurately identify these components through algorithms.

[0049] In some embodiments, we use an established standard spectral library to match the mass spectrometry (MS) spectra and determine the composition of each peak by the mass-to-charge ratio of the ion fragments. Specifically, the ion peaks and fragment peaks of each aroma component have their specific m / z values, which can help identify its molecular structure and then confirm the aroma component. For uncommon aroma components, their molecular structures can also be inferred based on the ion patterns of their characteristic fragments.

[0050] To further improve the accuracy and precision of qualitative analysis, in this embodiment, a method of comparing the ion current chromatogram with a standard database is also adopted. Through this method, not only can the analysis coverage rate be increased, but the probability of misidentification can also be significantly reduced, ensuring high-precision results.

[0051] During the MS analysis process, the relative concentration of an aroma component is measured by the peak area or peak height. The formula for calculating the relative concentration of an aroma component is: Where C i represents the relative concentration of the i-th aroma component, A i represents the MS peak area of this aroma component, and A total represents the sum of the peak areas of all aroma components.

[0052] It should be particularly noted that the process of qualitative analysis not only relies on MS technology but also includes relevant data generated during the chromatographic separation process. In the chromatogram, the area of each peak is proportional to the concentration of the aroma component, and this information is crucial for the correctness of qualitative analysis. Therefore, the output of the chromatogram is used in combination with the MS spectrum to ensure the accurate identification of aroma components.

[0053] In some embodiments, the MS analysis system also introduces an automated analysis function. In this system, the identification and quantitative analysis of the aroma components in the smoke sample can be automatically completed through a preset algorithm. The analysis results will be automatically compared with the standard database to generate a specific aroma component report, which is then fed back to the e-cigarette product design process through the system to guide product optimization.

[0054] To ensure the overall quality of the aroma components and the aroma sensory experience of the final product, in this embodiment, the quality of the aroma components is comprehensively evaluated through an aroma quality scoring formula: Where Q s is the aroma quality score, C i is the relative concentration of the i-th aroma component, and W i is the weight of the aroma component. The weight is set according to the contribution of the component to the aroma sensory quality. This formula helps to evaluate the overall aroma quality in the complex mixture of multiple aroma components.

[0055] For step S4, in this embodiment, after the aroma components are chromatographically separated and qualitatively analyzed, quantitative analysis is carried out using gas chromatography (GC) or high performance liquid chromatography (HPLC) techniques. The concentration of each aroma component is calculated through the linear relationship between the peak area or peak height in the chromatogram and the concentration.

[0056] Generally, gas chromatography technology will transfer the aroma components to the chromatographic column through the carrier gas and separate them according to their residence time in the chromatographic column. The peak height or peak area of each aroma component in the chromatogram is proportional to its concentration. The aroma component with a larger peak area has a higher concentration, and vice versa.

[0057] As an option, liquid chromatography (HPLC) can also be used for quantitative analysis, especially suitable for analyzing aroma components with strong polarity or low volatility. HPLC technology can effectively separate and measure the aroma components in complex samples through the interaction between the liquid mobile phase and the stationary phase.

[0058] Specifically, quantitative analysis relies on integrating the peak areas of each aroma component in the chromatogram. There is a linear relationship between the concentration of each aroma component and its peak area. By calculating the areas of these peaks, the relative concentration of each aroma component can be obtained.

[0059] In a possible implementation, to improve the accuracy of quantitative analysis, the chromatographic results can be calibrated by the external standard method or the internal standard method. The external standard method calculates the concentration by establishing a standard curve in advance and normalizing the ratio of the peak area of the standardized aroma component to the peak area of the sample; while the internal standard method calibrates the concentration of the aroma component in the sample by adding a standard substance with a known concentration.

[0060] For step S5, in this embodiment, the calculation of the aroma characteristic index includes three parts: aroma quality, aroma quantity, and harmony. First, the calculation formula for aroma quality is: Among them, Q1 is the aroma quality evaluation value, C i is the content of the i-th aroma component, n is the total number of aroma components, and W i is the weight of the i-th aroma component. The weight is determined based on the importance and comfort of the aroma component. Aroma quality reflects the overall quality of the aroma components, considering the content of each component and its impact on the overall aroma quality. By assigning weights to each aroma component and multiplying them by their concentrations, we obtain a comprehensive aroma quality evaluation value.

[0061] Generally, the calculation of aroma quantity is more intuitive. It reflects the sum of the aroma components, and the formula is as follows: Among them, Q2 is the total amount of aroma components, and C i is the content of the i-th aroma component, and n is the total number of aroma components.

[0062] As an option, the harmony is evaluated by calculating the balance degree among the aroma components to evaluate the overall harmony of the aroma. Specifically, the calculation formula for harmony is: Among them, Q3 is the balance degree of the aroma components, and is is the average content of all aroma components, C i is the content of the i-th aroma component, and n is the total number of aroma components. By measuring the balance degree among the aroma components, the stability of the analysis result is ensured. The harmony reflects the balance degree among the aroma components, and a balanced combination of aroma components is usually considered more attractive.

[0063] Specifically, the aroma quality, aroma quantity, and harmony are important parameters for evaluating the overall quality of the smoke aroma. Through these indicators, we can objectively judge the aroma quality of each smoke sample and classify the aroma based on these results.

[0064] In a possible implementation, the classification criteria for the aroma can be determined according to the values of the aroma characteristic indicators. For example, the criteria for high-quality aroma can be high aroma quality, moderate aroma quantity, and good harmony; medium aroma is at a medium level in these three indicators; while the criteria for low-quality aroma are low aroma quality, insufficient aroma quantity, and poor harmony.

[0065] It should be particularly noted that when calculating the aroma characteristic indicators, the concentration and weight of each component are set based on its actual influence in the aroma. For complex aroma formulas, the relative proportions and harmony of multiple aroma components are particularly important. By precisely calculating and adjusting these components, we can ensure that the final aroma evaluation result is more accurate and comprehensive.

[0066] In some embodiments, to ensure the accuracy of classification, a comprehensive score can be further set for each aroma type according to the comprehensive results of the three indicators of aroma quality, aroma quantity, and harmony. According to this comprehensive score, the system can grade the aroma, thereby providing a basis for subsequent optimization and adjustment.

[0067] For step S6, in this embodiment, by establishing an automatic adjustment mechanism, the system can automatically adjust the e-liquid formula, atomizer design, and parameters of the smoking process according to previously calculated aroma characteristic indicators, such as aroma quality, aroma quantity, and harmony data. The core of the automatic adjustment function is to automatically optimize the design and production process of the electronic atomizer by real-time monitoring and analyzing the aroma quality score. This process aims to ensure that each aroma component and aroma quality reach the predetermined goals to improve product quality.

[0068] As an option, the automatic adjustment function not only optimizes based on the aroma quality score but also combines other parameters, including the operating temperature of the electronic atomizer, smoking flow rate, e-liquid concentration, etc. The sensors can monitor these parameters in real-time and combine them with the aroma quality score to form a dynamic adjustment plan.

[0069] Specifically, the system calculates an adjustment coefficient based on the difference between the aroma quality score and the set optimal standard. The formula is as follows: Where k is the adjustment coefficient, representing the proportion of adjustment required for the product parameters, Q target is the target aroma quality score, representing the ideal aroma quality, usually set according to market demand or consumer taste, Q s is the current aroma quality score, calculated through the aforementioned aroma quality score formula.

[0070] In a possible implementation, the automatic adjustment function will provide real-time feedback and optimize the design of the e-cigarette. The product parameters are feedback-adjusted through the following formula: P z = P x + k·(P target - P x ); Where: P z is the optimized product design parameter, representing the adjusted product parameters, such as e-liquid formula, atomizer design, smoking frequency, etc., P x is the current product design parameter, representing the specific parameters of the current e-cigarette, such as aroma components, structure of the atomizer, etc., P target is the target product design parameter, representing the expected aroma components and related product parameters according to the target aroma quality score, and k is the adjustment coefficient, a proportional value calculated based on the aroma quality score, representing the degree of adjustment required.

[0071] It should be noted that the automatic adjustment function is not only optimized based on the current aroma quality score, but also can be dynamically adjusted according to long-term data. The system will regularly feedback the analysis results to the production and design departments of the electronic cigarette, so as to further improve the product design and process according to user feedback or market demand. This feedback mechanism ensures that the product can adapt to the needs of different consumers during continuous optimization and enhances its market competitiveness.

[0072] In some embodiments, the realization of the automatic adjustment function depends on the support of machine learning algorithms or control algorithms. These algorithms can continuously optimize the adjustment strategy according to historical data and real-time data. Through continuous learning and optimization, the system can more accurately predict the future demand for aroma components, making the adjustment more efficient and accurate.

[0073] In other embodiments, the automatic adjustment mechanism can also be combined with a cloud data platform for remote monitoring and adjustment. Through a network interface, the devices on the production line and the design team can obtain data in real time for parameter optimization and real-time control during the production process.

[0074] For step S7, through the feedback of aroma characteristic indicators, the design parameters of the electronic atomizer are optimized, and the e-liquid formula, atomization core structure and parameters during the smoking process are further improved. This process is directly related to the aroma quality, stability of the electronic cigarette product and the smoking experience of users.

[0075] First of all, the aroma characteristic indicators (aroma quality, aroma quantity and coordination) reflect the quality characteristics of the aroma of the electronic cigarette smoke. After these indicators are adopted, the product design is automatically adjusted through a feedback mechanism, thereby optimizing the various performance feedback mechanisms of the electronic cigarette. The working method of the feedback mechanism includes converting the aroma characteristic indicators into actual product design parameters and performing dynamic adjustment through formula adjustment.

[0076] In this embodiment, the feedback mechanism works in the following way: the aroma quality score is comprehensively obtained according to the calculation results of the aroma quality, aroma quantity and coordination indicators. The aroma quality score Q aroma The calculation formula is: Q aroma = w1·Q1 + w2·Q2 + w3·Q3; Among them, Q aroma is the aroma quality score, w1, w2, w3 are the weights of aroma quality, aroma quantity and coordination, which are set according to the relative importance of each indicator; Q1 is the aroma quality evaluation value, Q2 is the total amount of aroma components, and Q3 is the balance degree of aroma components.

[0077] In some embodiments, the aroma quality score not only considers the aroma quality, aroma quantity, and harmony, but also other influencing factors such as aroma persistence and intensity can be added for a more comprehensive aroma evaluation.

[0078] Subsequently, according to the magnitude of the aroma quality score, the production department can convert it into specific product design parameters. For example, through the following optimization formula, the design parameters of the product (such as e-liquid formula, atomizer structure, and smoking parameters) can be adjusted: P z = P x + k2·Q aroma ·Δt; where P z is the optimized product design parameter, P x is the current product design parameter, k2 is the adjustment coefficient, Q aroma is the aroma quality score, and Δt is the adjustment time interval.

[0079] Specifically, the product design parameter P z can be the composition ratio of the e-liquid, the structural dimensions of the atomizer, temperature, and flow rate, etc. If the aroma quality score is high (i.e., the aroma quality, aroma quantity, and harmony all reach a good level), the design parameters can be finely adjusted by a smaller value of the adjustment coefficient k2 to maintain product consistency. If the aroma quality score is low, the product parameters can be quickly adjusted by increasing the adjustment coefficient to rapidly improve the aroma quality.

[0080] In some embodiments, the feedback mechanism further optimizes the product through a continuous adjustment process. The adjustment coefficient k2 varies dynamically according to different production batches and aroma quality scores. For example, in certain situations, if the aroma quantity is insufficient or the harmony is poor, the concentration of key components in the e-liquid formula (such as spice concentration) can be adjusted automatically to improve the aroma of the vapor.

[0081] In another implementation, the feedback mechanism can also adjust the parameters in the production process according to the real-time aroma detection results. For example, by adjusting the smoking frequency or the heating temperature of the e-liquid to respond to changes in aroma characteristics. In actual production, factors such as temperature, flow rate, and viscosity of the e-liquid have an important impact on the extraction and atomization effect of aroma components. Therefore, by adjusting these parameters in real time, it can be ensured that the product maintains the best aroma quality at each stage.

[0082] The electronic atomizer vapor aroma component detection system described below can be referred to in correspondence with the electronic atomizer vapor aroma component detection method described above.

[0083] Please refer to the appendix Figure 2, the present invention also provides an electronic atomizer smoke aroma component detection system. In this embodiment, the electronic atomizer smoke aroma component detection system mainly consists of four key modules to achieve efficient collection, analysis, feedback, and optimization of aroma components. Through precise analysis and feedback mechanisms, the system effectively optimizes the design of the electronic atomizer, improves the aroma quality, and provides users with a higher-quality smoking experience.

[0084] The smoke collection device is used to stably collect the smoke samples released by the electronic atomizer to ensure the representativeness and consistency of the samples. This device is equipped with a stable suction source and a constant smoking frequency controller, which can simulate the human smoking process to ensure that the concentration of each collected sample is consistent with the actual smoking situation. The smoke collection process uses a closed pipeline to avoid contamination or leakage and ensure the purity and accuracy of the collected smoke samples.

[0085] Specifically, the collection device ensures the stable collection of smoke by precisely adjusting the suction source and the frequency controller. At the same time, the collection device can be automatically adjusted according to different requirements (such as low, medium, and high-concentration samples) to meet various detection needs.

[0086] The gas analysis device includes a gas chromatography analyzer or a high-performance liquid chromatography analyzer, which is used to separate, extract, and quantitatively analyze the aroma components in the smoke samples. The smoke samples are introduced into this device through a gas transmission pipeline. Different aroma components are separated by a chromatographic column, and characteristic peaks are generated according to the characteristics of each component for subsequent qualitative and quantitative analysis.

[0087] As an option, this device can also be equipped with a cold trap or an adsorption column to further purify the aroma components in the smoke samples and ensure the stability of the purity and concentration of the aroma components. The sensitivity and resolution of the gas chromatography analyzer ensure the precise analysis of the aroma components, providing reliable data for subsequent aroma quality scoring and optimized design.

[0088] The data processing module is used to qualitatively and quantitatively analyze the aroma components and calculate aroma characteristic indicators such as aroma quality, aroma quantity, and harmony. By analyzing chromatograms and mass spectra, the data processing module can identify each aroma component and calculate its relative concentration. In addition, the module will classify the smoke aroma into high-quality aroma, medium-quality aroma, and low-quality aroma according to the calculated aroma characteristic indicators.

[0089] The feedback module feeds back the analysis results to the design and production departments of the electronic atomizer in real time so that the product design can be adjusted according to the aroma characteristic indicators. The core function of this module is to adjust the e-liquid formula, atomizer core design, and smoking process parameters according to the aroma characteristic indicators, thereby optimizing the aroma quality and enhancing the user experience.

[0090] In a possible implementation, the feedback module can dynamically optimize the performance of the electronic atomizer by adjusting the smoking parameters according to the real-time aroma quality score. For example, by adjusting the atomization temperature, e-liquid flow rate, etc., the quality and taste of the smoke can be improved.

[0091] The system of this embodiment can be used to execute the above method embodiment, and its principle and technical effect are similar, which will not be elaborated here.

[0092] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for detecting aroma components of smoke from an electronic atomizer, characterized in that: The following steps are involved: Collect smoke samples, use a stable suction source and a constant smoking frequency controller to simulate the human smoking process; The collected smoke samples are introduced into a gas analysis device and the aroma components are separated by gas chromatography; The extracted aroma components are qualitatively analyzed by mass spectrometry, and the mass spectra are obtained and compared with the standard spectrum library to identify the aroma components in the smoke; The aroma components were quantitatively analyzed by gas chromatography and the content of each aroma component was calculated; Calculate aroma characteristic indicators, including aroma quality, aroma quantity and coordination; According to the aroma characteristic index, smoke aroma is classified into high-quality aroma, medium-quality aroma and low-quality aroma, and classified according to the quality, quantity and coordination of the aroma; The analysis results are fed back to the design and production departments of the electronic cigarette atomizer to optimize the product's e-liquid formula, improve the atomizer core structure, or optimize the parameters of the smoking process.

2. The method for detecting aroma components of smoke from an electronic atomizer according to claim 1, characterized in that: The aroma characteristic index includes the following calculation formula: Aroma quality calculation formula: Among them, Q1 is the aroma quality evaluation value, C i is the content of the i-th aroma component, n is the total number of aroma components, W i is the weight of the i-th aroma component, and the weight is determined according to the importance and comfort of the aroma component; Aroma calculation formula: Among them, Q2 is the total amount of aroma components, C i is the content of the i-th aroma component, and n is the total number of aroma components; Coordination calculation formula: Among them, Q3 is the balance degree of aroma components. is the average content of all aroma components, C i is the content of the i-th aroma component, n is the total number of aroma components; According to the calculated aroma characteristic indexes, the smoke aroma is classified into high-quality aroma, medium-quality aroma and low-quality aroma. The standards for high-quality aroma are high aroma quality, moderate aroma quantity and good coordination.

3. The method for detecting aroma components of smoke from an electronic atomizer according to claim 1, characterized in that: The aroma characteristic index is used to classify the smoke aroma, which is divided into: There are high-quality aroma, medium-quality aroma and low-quality aroma. The standards for high-quality aroma are high aroma quality, moderate aroma volume and good coordination. The standard for medium aroma is that the aroma quality, aroma quantity and coordination are all at medium levels; The standards for inferior aroma are low aroma quality, insufficient aroma quantity, and poor coordination.

4. The method for detecting aroma components of smoke from an electronic atomizer according to claim 1, characterized in that: The aroma characteristic index is fed back to the design and production department of the electronic cigarette atomizer through a feedback mechanism, and is used to optimize the e-cigarette product's e-liquid formula, improve the atomizer core structure, or optimize the parameters of the smoking process.

5. The method for detecting aroma components of smoke from an electronic atomizer according to claim 1, characterized in that: The gas chromatograph analyzer comprises a cold trap for further purifying the aroma components in the smoke sample and ensuring the purity and concentration stability of the aroma components.

6. The method for detecting aroma components of smoke from an electronic atomizer according to claim 1, characterized in that: The gas analysis device has an automatic adjustment function, which can automatically adjust the analysis parameters according to the concentration change of the smoke sample. The automatic adjustment formula is: y =α·C x +β; Among them, C y is the adjusted concentration value, C x is the current concentration value, α and β are adjustment coefficients, and α and β are dynamically adjusted according to the changes in sample concentration.

7. The method for detecting aroma components of smoke from an electronic atomizer according to claim 4, characterized in that: The feedback mechanism automatically adjusts the product design based on the calculated aroma characteristic index, including the e-liquid formula, the atomizer core design and the parameters of the smoking process, so as to optimize the aroma quality and user experience of the electronic cigarette. The feedback mechanism is automatically adjusted by the following formula: z =γ·P x +δ·Q s ; Among them, P z is the optimized product design parameter, P x Design parameters for the current product, Q s is the aroma quality score, γ and δ are the adjustment coefficients, and the product design parameters are dynamically adjusted according to the aroma quality score.

8. The method for detecting aroma components of smoke from an electronic atomizer according to claim 1, characterized in that: The collection of the smoke sample is carried out through the following steps: Equipped with a stable suction source and a constant smoking frequency controller to simulate the human smoking process and ensure that the collected smoke samples are representative; The collection device includes a smoking frequency controller, which can accurately adjust the smoking frequency to ensure the stability and consistency of smoke collection; The collected smoke samples are introduced into the gas analysis device through a gas transmission pipeline to avoid any contamination or leakage during the collection process and ensure the accuracy of the samples.

9. The method for detecting aroma components of smoke from an electronic atomizer according to claim 1, characterized in that: The qualitative analysis identifies characteristic aroma components in smoke by comparing the mass spectrum with a standard spectrum library.

10. An electronic atomizer smoke aroma component detection system, applied to the electronic atomizer smoke aroma component detection method according to any one of claims 1 to 9, characterized in that: include: smoke A collection device, used for stably collecting smoke samples released by the electronic atomizer; Gas analysis equipment, including a gas chromatograph or a high performance liquid chromatograph, for separating, extracting and quantitatively analyzing aroma components in smoke samples; Data processing module, used to conduct qualitative and quantitative analysis of aroma components and calculate aroma characteristic indicators, including aroma quality, aroma quantity and coordination; The feedback module is used to provide feedback to the design and production departments of the electronic cigarette atomizer based on the aroma characteristic indicators, so as to optimize the electronic cigarette's e-liquid formula, atomizer core structure and smoking process parameters.

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