Methods and systems for detecting aroma components in electronic atomizer vapor

Abstract

This invention relates to the field of electronic atomizer smoke detection technology, and discloses a method and system for detecting aroma components in electronic atomizer smoke. The method includes the following steps: collecting smoke samples; simulating the human smoking process using a stable suction source and a constant smoking frequency controller; introducing the collected smoke samples into a gas analysis device and separating aroma components using gas chromatography or high-performance liquid chromatography; performing qualitative analysis on the extracted aroma components using mass spectrometry, obtaining mass spectra, and comparing them with a standard spectral library to identify the aroma components in the smoke. This invention employs a detection method based on quantitative aroma characteristic indicators, achieving accurate analysis of aroma components in electronic atomizer smoke and solving the problems of strong subjectivity, low detection efficiency, and unstable results. Through systematic numerical indicators, aroma components can be analyzed quickly and accurately, greatly improving the efficiency and accuracy of detection.

Description

Technical Field

[0001] This invention relates to the field of electronic atomizer smoke detection technology, specifically to a method and system for detecting aroma components in electronic atomizer smoke. Background Technology

[0002] With the widespread use of electronic atomizers in the market, aroma has become one of the most critical factors in user experience. As consumers' requirements for the quality of e-cigarettes continue to increase, the need for aroma testing is becoming more and 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 for consumers when choosing products. The uniqueness and stability of the aroma often determine the product's sales performance and brand loyalty.

[0003] However, most existing methods for detecting the aroma of e-cigarettes rely on human sensory evaluation, which has several significant limitations. First, human sensory evaluation is highly subjective, with evaluation criteria varying from person to person, making it impossible to guarantee the stability and consistency of results for each test. Second, human testing is inefficient and easily affected by external factors such as the environment and the operator's physiological state, leading to unstable and inaccurate results. Furthermore, traditional sensory evaluation methods struggle to conduct comprehensive and accurate qualitative and quantitative analysis of aroma components, failing to 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, in order to overcome the shortcomings of the prior art. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a method and system for detecting the aroma components of electronic atomizer smoke, which solves the problem that human sensory evaluation is highly subjective, with evaluation standards varying from person to person, making it impossible to guarantee the stability and consistency of each test result.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for detecting the aroma components of vapor from an electronic atomizer, comprising the following steps:

[0007] Smoke samples were collected, and a stable suction source and a constant smoking frequency controller were used to simulate the human smoking process.

[0008] The collected smoke samples were introduced into a gas analysis device, and the aroma components were separated by gas chromatography or high performance liquid chromatography.

[0009] The extracted aroma components were qualitatively analyzed by mass spectrometry, and the mass spectra were obtained and compared with standard spectral libraries to identify the aroma components in the smoke.

[0010] The aroma components were quantitatively analyzed using gas chromatography, and the content of each aroma component was calculated.

[0011] Calculate aroma characteristic indicators, including aroma quality, aroma quantity, and harmony;

[0012] Based on aroma characteristic indicators, the aroma of smoke is classified into high-quality aroma, medium-quality aroma, and low-quality aroma, according to the quality, quantity, and harmony of the aroma.

[0013] The analysis results are fed back to the design and manufacturing departments of electronic cigarette atomizers to optimize e-liquid formulations, improve atomizer core structures, or optimize parameters of the smoking process.

[0014] Preferably, the aroma characteristic index includes the following calculation formula:

[0015] Fragrance quality calculation formula:

[0016]

[0017] Where Q1 is the aroma quality assessment value, C i Let W be the content of the i-th aroma component, and n be the total number of aroma components. i Let be the weight of the i-th aroma component, which is determined based on the importance and comfort of the aroma component.

[0018] Aroma quantity calculation formula:

[0019]

[0020] Where Q2 is the total amount of aroma components, C i Let represent the content of the i-th aroma component, and n represent the total number of aroma components.

[0021] Coordination calculation formula:

[0022]

[0023] Q3 represents the balance of aroma components. C represents the average content of all aroma components. i Let represent the content of the i-th aroma component, and n represent the total number of aroma components.

[0024] Based on the calculated aroma characteristic indicators, the aroma of the smoke is classified into high-quality aroma, medium-quality aroma, and low-quality aroma. The criteria for high-quality aroma are high aroma quality, moderate aroma quantity, and good harmony.

[0025] Preferably, the aroma characteristic index is used to classify the aroma of smoke, and is divided into:

[0026] The aromas are categorized into high-quality, medium-quality, and low-quality. The criteria for high-quality aroma are high aroma quality, moderate aroma quantity, and good harmony. The criteria for medium-quality aroma are that the aroma quality, aroma quantity, and harmony are all at a medium level.

[0027] The criteria for inferior aroma are low aroma quality, insufficient aroma quantity, and poor harmony.

[0028] Preferably, the aroma characteristic indicators are fed back to the design and manufacturing departments of electronic cigarette atomizers through a feedback mechanism to optimize the e-liquid formulation of electronic cigarette products, improve the atomizer core structure, or optimize the parameters of the smoking process.

[0029] Preferably, the gas chromatograph 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.

[0030] Preferably, the gas analysis device has an automatic adjustment function, which can automatically adjust the analysis parameters according to the concentration changes of the smoke sample. The automatic adjustment formula is as follows:

[0031] C y =α·C x +β;

[0032] Among them, C y C represents the adjusted concentration value. x The current concentration value is given, and α and β are adjustment coefficients that are dynamically adjusted according to changes in sample concentration.

[0033] Preferably, the feedback mechanism automatically adjusts the product design based on calculated aroma characteristic indicators, including e-liquid formulation, atomizer design, and parameters of the smoking process, thereby optimizing the aroma quality and user experience of the e-cigarette. The feedback mechanism automatically adjusts using the following formula:

[0034] P z =γ·P x +δ·Q s ;

[0035] Where, P z For the optimized product design parameters, P x For the current product design parameters, Q s Aroma quality is scored, and γ and δ are adjustment coefficients. Product design parameters are dynamically adjusted based on the aroma quality score.

[0036] Preferably, the collection of the smoke sample is carried out through the following steps:

[0037] Equipped with a stable suction source and a constant smoking frequency controller, it simulates the human smoking process to ensure that the collected smoke samples are representative;

[0038] The collection device includes a smoking frequency controller, which can precisely adjust the smoking frequency to ensure the stability and consistency of smoke collection;

[0039] The collected smoke samples are introduced into the gas analysis device through a gas transmission pipeline to avoid any pollution or leakage during the collection process and to ensure the accuracy of the samples.

[0040] Preferably, the qualitative analysis identifies characteristic aroma components in the smoke by comparing the mass spectrum with a standard spectral library.

[0041] This invention also provides a system for detecting the aroma components of electronic atomizer smoke, comprising:

[0042] A smoke collection device used to stably collect smoke samples released by an electronic atomizer;

[0043] Gas analysis apparatus, including gas chromatograph or high performance liquid chromatograph, is used to separate, extract and quantify aroma components in smoke samples;

[0044] The data processing module is used to perform qualitative and quantitative analysis of aroma components and calculate aroma characteristic indicators, including aroma quality, aroma quantity, and harmony.

[0045] The feedback module is used to provide feedback on aroma characteristic indicators to the design and production departments of e-cigarette atomizers in order to optimize the e-liquid formulation, atomizer core structure and smoking process parameters of e-cigarettes.

[0046] This invention provides a method and system for detecting the aroma components of vapor from electronic atomizers, which has the following beneficial effects:

[0047] 1. This invention employs a detection method based on quantitative aroma characteristic indicators, achieving precise analysis of the aroma components of electronic atomizer vapor. Compared with the existing technology that relies on human sensory evaluation, it solves the problems of strong subjectivity, low detection efficiency, and unstable results. Through systematic numerical indicators, aroma components can be analyzed quickly and accurately, greatly improving the efficiency and accuracy of detection.

[0048] 2. This invention employs an automatic feedback mechanism and a product design optimization technical solution, enabling intelligent adjustment of product design. Unlike traditional products that rely on experience-based adjustments, this invention optimizes the product's e-liquid formula, atomizer core structure, and other design parameters in real time through data-driven aroma quality scoring, ensuring the stability and consistency of the product's aroma. This technical solution effectively avoids unnecessary manual intervention during product optimization, thereby improving the accuracy of the overall design and the user experience.

[0049] 3. By introducing optimal control theory and quantum physics model, this invention successfully improves the separation accuracy of aroma components. Compared with conventional gas chromatography analysis in the prior art, this invention significantly reduces possible errors in the analysis process through more accurate physical modeling and interference effect consideration. This not only improves the efficiency of aroma separation, but also ensures the high reliability of the detection results.

[0050] 4. This invention optimizes the operating efficiency of the aroma component detection system by combining intelligent data processing with a real-time feedback adjustment mechanism. Unlike the static adjustment detection methods in the prior art, the system of this invention can adjust the analysis parameters in real time and automatically respond to changes in aroma concentration, ensuring the adaptability and accuracy of each test. The introduction of this technology greatly improves the flexibility and accuracy of the system, reduces manual intervention, and improves the automation level of the detection system. Attached Figure Description

[0051] Figure 1 This is a flowchart of the method steps of the present invention;

[0052] Figure 2 This is a system architecture diagram of the present invention. Detailed Implementation

[0053] The technical solutions in 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. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0054] Please see the appendix Figure 1 This invention provides a method for detecting the aroma components of e-cigarette vapor. Through precise aroma component analysis and an automated optimization feedback mechanism, it solves the instability problem in aroma quality control of traditional e-cigarettes, further improving aroma consistency and user experience, thereby enhancing the product's market competitiveness. The method includes the following steps:

[0055] S1. Smoke sample collection;

[0056] S2. Aroma component separation;

[0057] S3. Qualitative analysis of aroma components;

[0058] S4. Quantitative analysis of aroma components;

[0059] S5. Calculation and classification of aroma characteristic indicators;

[0060] S6. Automatic adjustment function, and adjusts the electronic atomizer through a feedback mechanism;

[0061] S7. Apply aroma characteristic indicators to product design optimization through a feedback mechanism.

[0062] For step S1, in this embodiment, the smoke collection device first employs a combination of a stable suction source and a constant smoking frequency controller to simulate the human smoking process. The smoking frequency controller can precisely adjust the periodicity and duration of smoking, ensuring that each collected smoke sample maintains consistency in both time and inhalation volume. This design reduces errors during the collection process and improves the accuracy of subsequent analysis.

[0063] Specifically, the function of the smoking frequency controller is to simulate the inhalation cycle in normal smoking behavior. Each smoking cycle typically requires maintaining a certain inhalation time and suction power. For example, the smoking cycle can be set to 5 seconds of inhalation followed by 2 seconds of pause, and the inhalation suction power within each cycle can be stably maintained according to the device's control requirements. Through this precise frequency control, the data acquisition device ensures the stability and representativeness of each smoking cycle.

[0064] To better simulate human smoking behavior, the suction source in this embodiment can be finely adjusted by an electric pump. The electric pump extracts smoke from the atomizer and delivers it to the collection device through a continuous and controllable suction source. The power of the suction source and the inhalation frequency can be flexibly adjusted according to the needs of the smoke sample.

[0065] In one possible implementation, the device also includes a gas transmission pipeline for transporting the collected smoke sample to the analysis device. The design of the gas transmission pipeline ensures the sample's airtightness, preventing the sample from coming into contact with the external environment during transmission and avoiding any potential contamination. At this stage, the system maintains high efficiency in terms of airtightness and stability.

[0066] 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 physicochemical properties of the smoke sample will not change drastically, thus guaranteeing its reliability in subsequent analysis.

[0067] To quantify and control the parameters during the data collection process, this embodiment also introduces a mathematical model to describe the relationship between smoking frequency, suction power, and smoke concentration. For example, during the data collection process, the power P of the suction source... y With smoking frequency f x The relationship can be expressed by the following formula:

[0068] P y =z·f x +p;

[0069] 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 and frequency, and p represents the basic setting value of the suction source when the smoking frequency is zero, usually used to compensate for the starting point. x The formula, which represents the inhalation frequency, shows a linear relationship between suction power and inhalation frequency. By adjusting the suction power and frequency, the smoke flow rate during the collection process can be precisely controlled.

[0070] Furthermore, while ensuring control over the smoking frequency and suction power, the data acquisition device can automatically adjust its operating 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;

[0071] Among them, C y C represents the adjusted concentration value. x The current concentration value is represented by α and β, which are adjustment coefficients. α and β are dynamically adjusted according to changes in sample concentration. α represents the feedback coefficient of concentration adjustment, which reflects the degree of influence of the current concentration on the adjusted concentration. Usually, it is a proportional factor that determines the adjustment intensity. β represents an offset, which is usually used to provide a fixed adjustment value during the concentration adjustment process to ensure that the final concentration meets the preset conditions. According to changes in smoke concentration, the device can automatically adjust the suction power and frequency to ensure the stability and representativeness of the sample.

[0072] Alternatively, in some embodiments, the smoke collection device employs an automated sampling mechanism. This mechanism can collect smoke periodically or on demand according to preset standards, ensuring high consistency of each sample collected. To this end, the system can use a collection pipe with a constant airflow to avoid any unnecessary disturbances.

[0073] In another embodiment, the gas analysis device employs high-precision sensors to monitor the concentration of the collected smoke samples in real time. These sensors, with an accuracy down to the microgram level, can provide accurate concentration data at any point during the collection process. This data can be fed back to the collection device to help the system adjust the collection speed, ensuring that the concentration of the smoke samples meets the requirements in each cycle.

[0074] For step S2, the complex aroma components are separated by gas chromatography (GC) or high performance liquid chromatography (HPLC) to provide accurate data support for subsequent qualitative and quantitative analysis. Through precise separation, we can ensure the purity of the aroma components and their concentration in the sample, which is crucial for improving the accuracy of the overall detection results.

[0075] Generally, the separation of aroma components mainly relies on the partitioning effect of chromatography. In 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 column at different rates, thereby achieving separation. Chromatographic analysis can effectively separate complex mixtures in the sample according to different migration rates, so that each aroma component forms an independent peak on the chromatogram, providing clear and identifiable data for subsequent qualitative and quantitative analysis.

[0076] In this embodiment, gas chromatography (GC) 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 passing through a certain temperature condition, the aroma components in the sample react with the gas mobile phase and interact with the stationary phase in the chromatographic column, causing different components to migrate at different speeds in the chromatographic column, thus obtaining different peaks.

[0077] As an alternative, in some embodiments, if there are components or large molecules in the sample that are difficult to separate, liquid chromatography (HPLC) can be used as an alternative. HPLC uses a liquid as the mobile phase and uses a pressure pump to push the sample through a chromatographic column for separation. Compared with GC, HPLC is more efficient in processing high molecular weight, non-volatile and heat-sensitive components.

[0078] Specifically, purification can be achieved using cold traps or adsorption columns. Cold traps can enhance the separation of larger molecules or aroma components with higher boiling points by using low temperatures to coagulate them. Adsorption columns, on the other hand, use chemisorption to remove interfering substances from the sample, ensuring that the final aroma components have high purity and stable concentration, thereby further improving the reliability of the analytical results.

[0079] In some embodiments, the chromatographic separation process is quantitatively analyzed using the following formula:

[0080]

[0081] Among them, C i Let A be the concentration of the i-th aroma component. i Let be the peak area of ​​the i-th aroma component, and k3 be the calibration coefficient, determined based on the ratio of the known concentration to the peak area of ​​the standard sample.

[0082] In another possible implementation, if the aroma components are highly similar or complex, secondary chromatographic separation technology 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. Secondary chromatographic separation technology not only improves separation efficiency but also reduces peak overlap of different aroma components, ensuring that the concentration of each component is accurately measured.

[0083] Specifically, the implementation of secondary chromatographic separation technology can be optimized for the migration rates of different chromatograms using the following formula:

[0084] Specifically, the implementation of secondary chromatographic separation technology can be optimized for different chromatographic migration rates using the following formula:

[0085]

[0086] Among them, R f t is the allocation factor, representing the migration rate of aroma components. R The retention time of aroma components, i.e., the time required for the component to travel from the injection port to the detector, t M The baseline time of the solvent, i.e., the migration time of the mobile phase, is determined by optimizing R. f This allows for control over separation efficiency and precision, thereby improving the accuracy of aroma component detection.

[0087] In some embodiments, if the aroma components have complex structures or multiple overlapping components, online mass spectrometry (MS) analysis can be combined with chromatographic separation techniques to further improve separation precision and the accuracy of qualitative analysis. Mass spectrometry analysis can determine the molecular weight and structure of the components by performing rapid and accurate mass analysis on the separated aroma components. Combining mass spectrometry and chromatography can not only improve separation precision, but also perform qualitative analysis of the components in real time, avoiding the problems of insufficient resolution or peak overlap that may exist in traditional chromatography.

[0088] For step S3, in this embodiment, after the aroma components are separated, the aroma components separated by the chromatographic column are guided into the mass spectrometer for qualitative analysis. Mass spectrometry is a powerful analytical method that can accurately identify the molecular structure of various complex aroma components in 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 spectrum of each aroma component is detected and compared with the standard spectral library to confirm the type and content of the aroma components.

[0089] In general, mass spectrometers use electron impact (EI) ionization, which involves bombarding sample molecules with a high-energy electron beam. The molecules break down and release charged ions. These ions are separated according to their mass-to-charge ratio (m / z) and recorded on a mass spectrum. Each peak in the mass spectrum represents an aroma molecule. The size of the peak is related to the abundance of the ion, while the position of the peak reflects the mass-to-charge ratio of the ion.

[0090] As an alternative, when the sample contains a large amount of polar substances or complex components, chemical ionization (CI) can be used for ionization. Unlike electron bombardment, chemical ionization generates ions by reacting reactive ions in the gas with sample molecules. This method can reduce fragmentation reactions and is more suitable for analyzing polar molecules or molecules that are difficult to resolve under electron bombardment conditions.

[0091] Specifically, aroma components are converted into charged ions by the ion source of a mass spectrometer. These ions are then separated by a mass analyzer, ultimately forming a characteristic mass spectrum. Each characteristic peak in the mass spectrum represents a specific aroma component or its fragmentation product. By comparing the mass spectrum with spectra in a standard database, the type of each aroma component in the sample can be accurately identified. Mass spectrometry analysis not only helps in the qualitative identification of aroma components but also provides strong support for quantitative analysis.

[0092] In one possible implementation, each peak in the mass spectrum corresponds to a different aroma component. By comparing it with known aroma molecule spectra, the accuracy of the aroma components can be confirmed. To ensure the reliability and efficiency of the results, the database should include 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.

[0093] In some embodiments, we use established standard spectral libraries to match mass spectra and determine the composition of each peak by the mass-charge ratio of ion fragments. Specifically, each aroma component has its own specific m / z value for both ion peaks and fragment peaks. These values ​​can help identify its molecular structure and thus confirm the aroma component. For uncommon aroma components, inference can also be made based on the ion patterns of its characteristic fragments.

[0094] To further improve the accuracy and precision of qualitative analysis, this embodiment also employs a method of comparing ion current spectra with a standard database. This method not only improves the coverage of the analysis but also significantly reduces the probability of misidentification, ensuring high precision of the results.

[0095] In mass spectrometry analysis, the relative concentration of aroma components is measured by peak area or peak height. The formula for calculating the relative concentration of aroma components is:

[0096]

[0097] Among them, C i A represents the relative concentration of the i-th aroma component. i A represents the mass spectrum peak area of ​​the aroma component. total This represents the sum of the peak areas of all aroma components.

[0098] It is important to note that the qualitative analysis process relies not only on mass spectrometry but also on the data generated during chromatographic separation. In the chromatogram, the region of each peak is proportional to the concentration of aroma components. This information is crucial for the accuracy of the qualitative analysis. Therefore, the output of the chromatogram is used in conjunction with the mass spectrum to ensure the accurate identification of aroma components.

[0099] In some embodiments, the mass spectrometry analysis system also incorporates automated analysis functions. In this system, the identification and quantitative analysis of aroma components in smoke samples can be completed automatically through preset algorithms. The analysis results are automatically compared with a standard database, providing a specific aroma component report, and the system feeds back to the electronic cigarette product design stage to guide product optimization.

[0100] To ensure the overall quality of the aroma components and the sensory experience of the final product, this embodiment also uses an aroma quality scoring formula to comprehensively evaluate the quality of the aroma components:

[0101]

[0102] Among them, Q s For aroma quality, score C i W represents the relative concentration of the i-th aroma component. i The weights of aroma components are set according to their contribution to the sensory quality of the aroma. This formula helps to evaluate the overall aroma quality in complex mixtures of multiple aroma components.

[0103] For step S4, in this embodiment, after the aroma components are separated by chromatography and qualitatively analyzed, quantitative analysis is performed using gas chromatography (GC) or high performance liquid chromatography (HPLC). The concentration of each aroma component is calculated by the linear relationship between the peak area or peak height in the chromatogram and the concentration.

[0104] Generally, gas chromatography transfers aroma components to a chromatographic column via a carrier gas and separates them according to their residence time in the column. The peak height or peak area of ​​each aroma component in the chromatogram is directly proportional to its concentration; aroma components with larger peak areas have higher concentrations, and vice versa.

[0105] As an alternative, high-performance liquid chromatography (HPLC) can also be used for quantitative analysis, especially for analyzing aroma components that are highly polar or low in volatility. HPLC technology can effectively separate and measure aroma components in complex samples through the interaction between the liquid mobile phase and the stationary phase.

[0106] 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 area of ​​these peaks, the relative concentration of each aroma component can be obtained.

[0107] In one possible implementation, to improve the accuracy of quantitative analysis, the chromatographic results can be calibrated using either the external standard method or the internal standard method. The external standard method calculates the concentration by establishing a standard curve in advance and using the ratio of the peak area of ​​the standardized aroma component to the peak area of ​​the sample. The internal standard method calibrates the concentration of the aroma component in the sample by adding a standard substance of known concentration.

[0108] For step S5, in this embodiment, the calculation of aroma characteristic indicators includes three parts: aroma quality, aroma quantity, and harmony. First, the formula for calculating aroma quality is:

[0109]

[0110] Where Q1 is the aroma quality assessment value, C i Let W be the content of the i-th aroma component, and n be the total number of aroma components. i Let be the weight of the i-th aroma component. The weight is determined based on the importance and comfort of the aroma component. The aroma quality reflects the overall quality of the aroma components. Considering the content of each component and its impact on the overall aroma quality, we obtain a comprehensive aroma quality assessment value by assigning a weight to each aroma component and multiplying it by its concentration.

[0111] Generally, calculating aroma quantity is more intuitive, as it reflects the sum of aroma components, as shown in the following formula:

[0112]

[0113] Where Q2 is the total amount of aroma components, C i Let represent the content of the i-th aroma component, and n represent the total number of aroma components.

[0114] As an alternative, harmony is evaluated by calculating the balance between aroma components to assess the overall harmony of the aroma. Specifically, the formula for calculating harmony is:

[0115]

[0116] Q3 represents the balance of aroma components. C represents the average content of all aroma components. iLet represent the content of the i-th aroma component, and n represent the total number of aroma components. By measuring the balance between aroma components, the stability of the analysis results is ensured. Harmony reflects the degree of balance between aroma components. A balanced combination of aroma components is generally considered more attractive.

[0117] Specifically, aroma quality, aroma quantity, and harmony are important parameters used to evaluate the overall quality of smoke aroma. Through these indicators, we can objectively judge the aroma quality of each smoke sample and classify the aroma based on these results.

[0118] In one possible implementation, the classification criteria for aroma can be determined based on the values ​​of 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 poor-quality aroma is low aroma quality, insufficient aroma quantity, and poor harmony.

[0119] It is important to note that when calculating aroma characteristic indicators, the concentration and weight of each component are set based on its actual impact on the aroma. For complex aroma formulations, the relative proportions and harmony of multiple aroma components are particularly important. By accurately calculating and adjusting these components, we can ensure that the final aroma evaluation results are more accurate and comprehensive.

[0120] In some embodiments, to ensure the accuracy of classification, a comprehensive score can be set for each aroma type based on the combined results of three indicators: aroma quality, aroma quantity, and harmony. Based on this comprehensive score, the system can classify the aroma, thereby providing a basis for subsequent optimization and adjustment.

[0121] For step S6, in this embodiment, by establishing an automatic adjustment mechanism, the system can automatically adjust the parameters of the e-liquid formula, atomizer core design, and smoking process based on previously calculated aroma characteristic indicators, such as aroma quality, aroma quantity, and harmony. 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 analysis of aroma quality scores. This process aims to ensure that each aroma component and aroma quality reaches the predetermined target in order to improve product quality.

[0122] As an option, the automatic adjustment function is optimized not only based on the aroma quality score, but also in combination with other parameters, such as the operating temperature of the electronic atomizer, the vapor flow rate, and the e-liquid concentration. Sensors can monitor these parameters in real time and combine them with the aroma quality score to form a dynamic adjustment scheme.

[0123] Specifically, the system calculates an adjustment coefficient based on the difference between the aroma quality score and the set optimal standard, using the following formula:

[0124]

[0125] Where k is the adjustment coefficient, representing the proportion by which the product parameters need to be adjusted, and Q target The target aroma quality score represents the ideal aroma quality and is usually set according to market demand or consumer taste. (Q) s The current aroma quality score is calculated using the aforementioned aroma quality scoring formula.

[0126] In one possible implementation, the automatic adjustment function provides real-time feedback and optimizes the electronic cigarette design by adjusting product parameters using the following formula:

[0127] P z =P x +k·(P target -P x );

[0128] Where: P z P represents the optimized product design parameters, indicating the adjusted product parameters such as e-liquid formulation, atomizer coil design, and vaping frequency. x For current product design parameters, this refers to the specific parameters of the current e-cigarette, such as aroma components, atomizer core structure, etc. (P) target The design parameters for the target product represent the desired aroma components and related product parameters based on the target aroma quality score. k is an adjustment coefficient, a proportional value calculated based on the aroma quality score, indicating the degree of adjustment required.

[0129] It is worth noting that the automatic adjustment function not only optimizes based on the current aroma quality score, but also makes dynamic adjustments based on long-term data. The system will regularly feed back the analysis results to the e-cigarette production and design departments so that product design and processes can be further improved based on user feedback or market demand. This feedback mechanism ensures that the product can adapt to the needs of different consumers through continuous optimization and enhance its market competitiveness.

[0130] In some embodiments, the implementation of the automatic adjustment function relies on the support of machine learning algorithms or control algorithms. These algorithms can continuously optimize and adjust strategies based on historical and real-time data. Through continuous learning and optimization, the system can more accurately predict the future demand for aroma components, thereby making the adjustment more efficient and precise.

[0131] In other embodiments, the automatic adjustment mechanism can also be remotely monitored and adjusted by combining with a cloud data platform. Through the network interface, equipment on the production line and the design team can obtain data in real time to optimize parameters and control the production process in real time.

[0132] For step S7, the design parameters of the electronic atomizer are optimized by using feedback from aroma characteristic indicators, and the parameters of e-liquid formulation, atomizer core structure and smoking process are further improved. This process is directly related to the aroma quality and stability of the electronic cigarette product and the user's smoking experience.

[0133] First, aroma characteristic indicators (aroma quality, aroma quantity, and harmony) reflect the quality characteristics of e-cigarette vapor aroma. Once these indicators are adopted, the product design is automatically adjusted through a feedback mechanism to optimize the various performance aspects of the e-cigarette. The feedback mechanism works by converting aroma characteristic indicators into actual product design parameters and dynamically adjusting them through formulas.

[0134] In this embodiment, the feedback mechanism works as follows: the aroma quality score is derived by comprehensively considering the calculation results of aroma quality, aroma quantity, and harmony indicators. The aroma quality score Q is... aroma The calculation formula is:

[0135] Q aroma = w1·Q1 + w2·Q2 + w3·Q3;

[0136] Among them, Q aroma To score aroma quality, w1, w2, and w3 represent the weights of aroma quality, aroma quantity, and harmony, which are set according to the relative importance of each indicator; Q1 is the aroma quality assessment value, Q2 is the total amount of aroma components, and Q3 is the balance of aroma components.

[0137] In some embodiments, the aroma quality score not only considers aroma quality, aroma quantity and harmony, but may also incorporate other influencing factors, such as aroma persistence and intensity, for a more comprehensive aroma assessment.

[0138] Subsequently, based on the aroma quality score, the production department can translate it into specific product design parameters. For example, the following optimization formula can be used to adjust product design parameters (such as e-liquid formulation, coil structure, and inhalation parameters): P z =P x +k2·Q aroma ·Δt;

[0139] Among them, P z For the optimized product design parameters, P x Here are the current product design parameters, k2 is the adjustment coefficient, and Q... aroma Aroma quality is scored, and Δt is the adjustment time interval.

[0140] Specifically, product design parameter P zThe parameters can include the proportion of e-liquid components, the structural dimensions of the atomizer core, temperature, and flow rate. If the aroma quality score is high (i.e., the aroma quality, aroma quantity, and harmony are all at a good level), the design parameters can be finely adjusted by adjusting the 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.

[0141] In some embodiments, the feedback mechanism further optimizes the product through a continuous adjustment process. The adjustment coefficient k2 changes dynamically according to different production batches and aroma quality scores. For example, in some situations, if the aroma is insufficient or the coordination is poor, the concentration of key components (such as flavoring concentration) in the e-liquid formula can be adjusted automatically to improve the aroma of the smoke.

[0142] In another implementation, the feedback mechanism can also adjust parameters in the production process based on real-time aroma detection results. For example, by adjusting the smoking frequency or the heating temperature of the e-liquid, it can respond to changes in aroma characteristics. In actual production, factors such as temperature, flow rate, and e-liquid viscosity have a significant 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.

[0143] The electronic atomizer vapor aroma component detection system described below can be used as a reference to the electronic atomizer vapor aroma component detection method described above.

[0144] Please see 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 is mainly composed of four key modules to achieve efficient collection, analysis, feedback and optimization of aroma components. Through a precise analysis and feedback mechanism, the system effectively optimizes the design of the electronic atomizer, improves the aroma quality, and provides users with a higher quality smoking experience.

[0145] The smoke collection device is used to stably collect smoke samples released by electronic atomizers, ensuring the representativeness and consistency of the samples. The device is equipped with a stable suction source and a constant smoking frequency controller, which can simulate the human smoking process and ensure that the concentration of each sample collected matches the actual smoking situation. The smoke collection process uses a closed pipeline to avoid contamination or leakage and to ensure the purity and accuracy of the collected smoke samples.

[0146] Specifically, the collection device ensures stable smoke collection by precisely adjusting the suction source and frequency controller. At the same time, the collection device can automatically adjust according to different needs (e.g., low, medium and high concentration samples) to meet various detection requirements.

[0147] The gas analysis device includes a gas chromatograph or a high-performance liquid chromatograph, which is used to separate, extract and quantify the aroma components in the smoke sample. The smoke sample is introduced into the device through a gas transmission pipeline, and different aroma components are separated by a chromatographic column. Characteristic peaks are generated according to the characteristics of each component for subsequent qualitative and quantitative analysis.

[0148] Alternatively, the device can be equipped with a cold trap or adsorption column for further purification of aroma components in smoke samples, ensuring the purity and concentration of aroma components remain stable. The sensitivity and resolution of the gas chromatograph ensure accurate analysis of aroma components, providing reliable data for subsequent aroma quality scoring and optimization design.

[0149] The data processing module performs qualitative and quantitative analysis of aroma components and calculates aroma characteristic indicators such as aroma quality, aroma quantity, and harmony. By analyzing chromatograms and mass spectra, the module can identify each aroma component and calculate its relative concentration. Furthermore, based on the calculated aroma characteristic indicators, the module classifies smoke aromas into high-quality, medium-quality, and low-quality aromas.

[0150] The feedback module provides real-time analysis results to the design and production departments of e-cigarette atomizers, enabling adjustments to product design based on aroma characteristics. The core function of this module is to adjust the e-liquid formulation, atomizer coil design, and inhalation parameters according to aroma characteristics, thereby optimizing aroma quality and enhancing the user experience.

[0151] In one possible implementation, the feedback module can dynamically optimize the performance of the electronic atomizer by adjusting inhalation parameters based on real-time aroma quality scores. For example, by adjusting atomization temperature, e-liquid flow rate, etc., the quality and flavor of the vapor can be improved.

[0152] The system in this embodiment can be used to execute the above method embodiments, and its principle and technical effect are similar, so they will not be described again here.

[0153] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for detecting aroma components in the vapor of an electronic atomizer, characterized in that, Includes the following steps: Smoke samples were collected, and a stable suction source and a constant smoking frequency controller were used to simulate the human smoking process. The collected smoke samples were introduced into a gas analysis device, and the aroma components were separated by gas chromatography. The extracted aroma components were qualitatively analyzed by mass spectrometry, and the mass spectra were obtained and compared with standard spectral libraries to identify the aroma components in the smoke. The aroma components were quantitatively analyzed using gas chromatography, and the content of each aroma component was calculated. Calculate aroma characteristic indicators, including aroma quality, aroma quantity, and harmony; Based on aroma characteristic indicators, the aroma of smoke is classified into high-quality aroma, medium-quality aroma, and low-quality aroma, according to the quality, quantity, and harmony of the aroma. The analysis results are fed back to the design and manufacturing departments of electronic cigarette atomizers to optimize e-liquid formulations, improve atomizer core structures, or optimize parameters of the smoking process.

2. The method for detecting aroma components in electronic atomizer smoke according to claim 1, characterized in that, The aroma characteristic indicators include the following calculation formulas: Fragrance quality calculation formula: Where Q1 is the aroma quality assessment value, C i Let W be the content of the i-th aroma component, and n be the total number of aroma components. i Let be the weight of the i-th aroma component, and the weight is determined based on the importance and comfort of the aroma component; Aroma quantity calculation formula: Where Q2 is the total amount of aroma components, C i Let represent the content of the i-th aroma component, and n represent the total number of aroma components. Coordination calculation formula: Q3 represents the balance of aroma components. C represents the average content of all aroma components. i Let represent the content of the i-th aroma component, and n represent the total number of aroma components. Based on the calculated aroma characteristic indicators, the aroma of the smoke is classified into high-quality aroma, medium-quality aroma, and low-quality aroma. The criteria for high-quality aroma are high aroma quality, moderate aroma quantity, and good harmony.

3. The method for detecting aroma components in electronic atomizer smoke according to claim 1, characterized in that, The aroma characteristic indicators are used to classify the aroma of smoke, and are divided into: The aromas are categorized into high-quality, medium-quality, and low-quality. The criteria for a high-quality aroma are high aroma quality, moderate aroma intensity, and good harmony. The standard for medium aroma is that the aroma quality, aroma quantity, and harmony are all at a medium level; The criteria for inferior aroma are low aroma quality, insufficient aroma quantity, and poor harmony.

4. The method for detecting aroma components in electronic atomizer smoke according to claim 1, characterized in that, The aroma characteristics are fed back to the design and manufacturing departments of e-cigarette atomizers through a feedback mechanism to optimize the e-liquid formulation, improve the atomizer core structure, or optimize the parameters of the smoking process.

5. The method for detecting aroma components in electronic atomizer smoke according to claim 1, characterized in that, The gas chromatograph includes a cold trap for further purification of aroma components in the smoke sample and to ensure the stability of the purity and concentration of the aroma components.

6. The method for detecting aroma components in electronic atomizer smoke 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 changes of the smoke sample. The automatic adjustment formula is as follows: C y =α·C x +b; Among them, C y C represents the adjusted concentration value. x The value is the current concentration, and α and β are adjustment coefficients that are dynamically adjusted according to changes in sample concentration.

7. The method for detecting aroma components in electronic atomizer smoke according to claim 4, characterized in that, The feedback mechanism automatically adjusts the product design based on calculated aroma characteristic indicators, including e-liquid formulation, atomizer design, and parameters during the smoking process, thereby optimizing the aroma quality and user experience of the e-cigarette. The feedback mechanism automatically adjusts using the following formula: P z =γ·P x +δ·Q s ; Among them, P z For the optimized product design parameters, P x For the current product design parameters, Q s Aroma quality is scored, and γ and δ are adjustment coefficients. Product design parameters are dynamically adjusted based on the aroma quality score.

8. The method for detecting aroma components in electronic atomizer smoke according to claim 1, characterized in that, The collection of the smoke samples was carried out through the following steps: Equipped with a stable suction source and a constant smoking frequency controller, it simulates the human smoking process to ensure that the collected smoke samples are representative; The collection device includes a smoking frequency controller, which can precisely 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 pollution or leakage during the collection process and to ensure the accuracy of the samples.

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

10. An electronic atomizer smoke aroma component detection system, employing the electronic atomizer smoke aroma component detection method according to any one of claims 1-9, characterized in that, include: smoke A collection device for stably collecting vapor samples released by an electronic atomizer; Gas analysis apparatus, including a gas chromatograph, for separating, extracting and quantitatively analyzing aroma components in smoke samples; The data processing module is used to perform qualitative and quantitative analysis of aroma components and calculate aroma characteristic indicators, including aroma quality, aroma quantity, and harmony. The feedback module is used to provide feedback on aroma characteristic indicators to the design and production departments of e-cigarette atomizers in order to optimize the e-liquid formulation, atomizer core structure and smoking process parameters of e-cigarettes.

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