Throat lozenge natural plant extraction method and process

Abstract

The invention provides a natural plant extraction method and process for throat lozenges, and the process comprises the following steps: mixing nine traditional Chinese medicine raw materials including loquat fruits, loquat leaves, mint, honeysuckle, momordica grosvenori, scaphium scaphigerum, platycodon grandiflorum, pericarpium citri reticulatae and liquorice to prepare Chinese herbal medicine concentrated paste; according to a preset formula, white granulated sugar, glucose syrup, the Chinese herbal medicine concentrated paste and natural menthol are mixed in proportion to obtain a glycosyl carrier; the glycosyl carrier is heated, the vacuum degree is increased, after the refractive index of sugar liquid is increased, spiral extrusion type continuous vacuum boiling is carried out, and the moisture content of a final product is controlled; and analyzing the total peak area proportion of the three specific terpenoids in the product through gas chromatography-mass spectrometry, and measuring the hardness and disintegration time of the product and the dissolution time of menthol at the same time.

Description

Technical Field

[0001] The present invention relates to the field of throat lozenge extraction, and particularly to a method and process for extracting natural plants for throat lozenges. Background Art

[0002] When preparing throat lozenges and using gradient extraction to prepare the concentrated paste of Chinese herbal medicines for throat lozenges, the pectin in loquat will interfere with the extraction of active ingredients. To solve this problem, we tried to add pectinase for assisted extraction. However, while maintaining the optimal enzymatic hydrolysis conditions (pH 4.5, 35°C), the stability of other Chinese herbal medicine components also needs to be considered. In particular, mogroside in throat lozenges and terpenoids in mint grass are prone to degradation under these conditions.

[0003] Another challenge occurs in the formulation stage of the sugar-based carrier. To achieve the desired taste and dissolution characteristics, we need to precisely control the crystal particle size of granulated sugar and the DE value of glucose syrup. However, during the high-temperature mixing process, these parameters will change, affecting the texture of the final product. In addition, although the addition of natural menthol can provide a cooling sensation, its volatility makes it difficult to maintain a stable concentration during the preparation process. In the vacuum boiling stage, we face the problem of how to ensure the water content meets the standard without destroying the active ingredients of Chinese herbal medicines. Especially under high-temperature and high-pressure conditions, some thermosensitive components may become inactivated. How to optimize the process parameters to improve production efficiency while ensuring product quality has become a key problem to be solved urgently. Summary of the Invention

[0004] The present invention provides a method and process for extracting natural plants for throat lozenges, mainly including: Mixing nine traditional Chinese medicine raw materials, namely loquat fruit, loquat leaves, mint grass, honeysuckle, mogroside, semen sterculiae lychnopherae, platycodon grandiflorum, dried tangerine peel, and liquorice, to prepare a concentrated paste of Chinese herbal medicines; mixing granulated sugar, glucose syrup, the concentrated paste of Chinese herbal medicines, and natural menthol in proportion according to a preset formula to obtain a sugar-based carrier; heating the sugar-based carrier, increasing the vacuum degree, raising the refractive index of the sugar solution, and then performing spiral extrusion continuous vacuum boiling to control the water content of the final product; analyzing the proportion of the total peak area of three specific terpenoids in the product by gas chromatography-mass spectrometry, and simultaneously measuring the hardness, disintegration time, and dissolution time of menthol in the product. Further, the mixing of the nine traditional Chinese medicine raw materials, namely loquat fruit, loquat leaves, mint grass, honeysuckle, mogroside, semen sterculiae lychnopherae, platycodon grandiflorum, dried tangerine peel, and liquorice, includes: crushing and weighing the nine traditional Chinese medicine raw materials, mixing them evenly, preparing a concentrated paste of Chinese herbal medicines by gradient extraction, adding loquat fruit pectinase for assisted extraction, and enzymatically hydrolyzing for a certain time at a set pH value and temperature. Further, mixing the granulated sugar, glucose syrup, the Chinese herbal medicine concentrated paste, and natural menthol according to a preset formula includes: mixing granulated sugar with a particle size of 200 - 250 μm and a content of 42%, glucose syrup with a DE value of 42 - 45 and a content of 35%, Chinese herbal medicine concentrated paste with a solid content of not less than 60% and a content of 20%, and natural menthol with an L-menthol purity of not less than 99% and a content of 3% in proportion and mixing them evenly. Further, heating the sugar-based carrier includes: under the conditions of a set temperature and shear rate, mixing the sugar-based carrier with the Chinese herbal medicine concentrated paste for a certain period of time to form a sugar paste matrix. Further, increasing the vacuum degree to improve the refractive index of the sugar solution includes: heating to a set range and maintaining a set vacuum degree to increase the refractive index of the sugar solution from 65°Bx to 78°Bx and maintaining for a set time. Further, the screw extrusion type continuous vacuum boiling includes: under the conditions of a set vacuum pressure and temperature, performing screw extrusion type continuous vacuum boiling for a set time to control the moisture content of the final product to not exceed 1.8%. Further, analyzing the proportion of the total peak area of three specific terpene compounds in the product by gas chromatography - mass spectrometry includes: using gas chromatography - mass spectrometry to analyze and detect the synergistic effect of Siraitia grosvenorii and Mentha haplocalyx Briq., and determining that the proportion of the total peak area of three specific terpene compounds with molecular weights of 367.4, 299.1, and 272.5 Da in the total peak area is not less than 15%.

[0005] Further, measuring the hardness, disintegration time, and dissolution time of menthol of the product includes: measuring the hardness of the product by a texture analyzer to be 3.2 ± 0.3 N / mm²; measuring the disintegration time of the product in a 37°C saliva simulation solution to not exceed 25 seconds; measuring the time for 50% dissolution of menthol in the oral environment to not exceed 1.8 minutes.

[0006] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: The present invention discloses a method and process for extracting natural plants from throat lozenges, which solves the problems of insufficient extraction of active ingredients and poor taste in traditional manufacturing methods. By innovatively using loquat fruit pectinase-assisted extraction and gradient extraction methods, the extraction rate of active ingredients in Chinese herbal medicines is significantly improved. In the process of preparing the sugar-based carrier, granulated sugar, glucose syrup, and natural menthol are skillfully combined to optimize the taste and release characteristics of the product. The present invention also adopts a screw extrusion type continuous vacuum boiling process to effectively control the moisture content of the final product. By analyzing and detecting the synergistic effect of Siraitia grosvenorii and Mentha haplocalyx Briq. by GC-MS, the content of specific terpene compounds is ensured. The final product has good hardness and disintegration performance, realizes the rapid dissolution of menthol, and greatly improves the user experience and efficacy of the product. Brief Description of the Drawings

[0007] Figure 1 This is a flowchart of the natural plant extraction process of the throat lozenges of the present invention. Specific Embodiments The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0008] As Figure 1 , the natural plant extraction method and process of the throat lozenges in this embodiment may specifically include: Step S101, obtain Chinese herbal medicine raw materials such as loquat fruits, loquat leaves, mint grass, honeysuckle, momordica grosvenori, semen sterculiae lychnopherae, platycodon grandiflorum, dried tangerine peel, and licorice, and mix and stir them evenly according to the specified ratio.

[0009] Obtain nine Chinese medicine raw materials including loquat fruits, loquat leaves, mint grass, honeysuckle, momordica grosvenori, semen sterculiae lychnopherae, platycodon grandiflorum, dried tangerine peel, and licorice, and perform drying treatment and pulverization treatment on the raw materials to obtain the pulverized Chinese medicine raw materials. According to the preset ratio, use an electronic balance to weigh the pulverized Chinese medicine raw materials to obtain the weighed Chinese medicine raw materials. Import the weighed Chinese medicine raw materials into a mixing container, start the stirring device to mix and stir the Chinese medicine raw materials, and obtain the uniformly mixed Chinese medicine raw materials. Among them, during the mixing and stirring process, use a near-infrared spectrometer to detect the mixing uniformity of the Chinese medicine raw materials in real time. If it is detected that the mixing uniformity reaches the preset threshold, control the stirring device to stop stirring. Perform granulation treatment on the uniformly mixed Chinese medicine raw materials to obtain Chinese medicine granules, and use a sieve to screen the particle size of the Chinese medicine granules to obtain Chinese medicine granules with uniform particle size. Perform packaging treatment on the Chinese medicine granules with uniform particle size to obtain finished Chinese medicine packages. Among them, the packaging treatment process includes content filling, sealing, coding, and metal detection. During the production process of the finished Chinese medicine packages, obtain various process parameters, and the process parameters include raw material ratio, mixing uniformity, granulation process parameters, and packaging process parameters; based on the process parameters, use a preset quality control model to monitor the production process in real time, and automatically generate a quality control report according to the monitoring results.

[0010] Specifically, nine kinds of Chinese herbal medicine raw materials, namely loquat fruits, loquat leaves, mint grass, honeysuckle, monk fruit, semen sterculiae lychnopherae, platycodon grandiflorum, dried tangerine peel, and liquorice, are obtained. The raw materials are placed in a constant temperature and humidity chamber with the environmental temperature set at 25°C and the relative humidity controlled at 45%. The raw materials are dried using a hot air circulation oven with the drying temperature set at 60°C for 8 hours. The dried raw materials are pulverized using a Chinese medicine pulverizer with the pulverization particle size set at 80 mesh. The pulverized raw materials are screened through a 100-mesh sieve to ensure uniform particle size. According to the proportions of 18% loquat fruits, 15% loquat leaves, 12% mint grass, 10% honeysuckle, 8% monk fruit, 8% semen sterculiae lychnopherae, 8% platycodon grandiflorum, 8% dried tangerine peel, and 13% liquorice, each raw material is accurately weighed using an electronic balance to an accuracy of 0.1 g. The weighed raw materials are introduced into a stainless-steel mixing container with the inner wall of the container pre-coated with a food-grade anti-sticking coating. A vertical mixing blender is started, and the mixing speed is set at 150 rpm and the mixing is continued for 18 minutes. During the mixing process, a near-infrared spectrometer is used to monitor the mixing uniformity of the raw materials in real time. When the detected mixing uniformity reaches 99%, the mixing is automatically stopped. The uniformly mixed raw materials are transferred to a sealed storage container made of food-grade stainless steel. A laser marking machine is used to engrave a unique batch number and QR code on the surface of the container. The location information of the storage container is recorded through a warehouse management system, and the raw materials are managed according to the first-in, first-out principle. A fully automatic granulator is used to granulate the mixed raw materials with the granulation temperature set at 80°C and the pressure at 5 MPa. The obtained granules are screened through a 20-mesh sieve to ensure uniform granule size. A near-infrared spectrometer is used to analyze the composition of the granules to ensure that the content of each raw material meets the formula requirements. The qualified granules are transported to an automatic packaging machine, and an aluminum-plastic composite film is used as the packaging material. The packaging weight of each bag is set at 5 g with the error controlled within the range of ±1 g. After packaging, a metal detector is used to detect metal foreign objects in each bag of the product. A coding machine is used to print the production date, batch number, and shelf life information on each bag of packaging. The products are sorted by batch and stored in the finished product warehouse through an automatic sorting system. A temperature and humidity monitoring system is used to monitor the warehouse environment in real time, with the temperature maintained at 18 - 22°C and the relative humidity controlled at 30 - 50%. An enterprise resource planning system is used to trace the entire process of raw material procurement, production process, inventory management, and sales. A statistical process control software is used to monitor and analyze the key parameters in the production process, including raw material ratio, mixing uniformity, granulation temperature and pressure, packaging weight, etc. According to the analysis results, a quality control report is automatically generated to provide data support for production management decisions.

[0011] The importance of obtaining raw materials for Chinese medicinal materials is reflected in many aspects. The harvesting seasons of loquats and loquat leaves are different. Loquats must be picked in a specific season, generally from the 15th day of the second lunar month to March each year. Because loquats are easily scratched during the picking process, in order to get fresh loquats, the fruits must be picked first and then the leaves. Loquats were boiled with charcoal in ancient times, but now they are steamed, half an hour after the first water boils. Soak the loquat pulp in 80-degree warm water to separate it, and peel and remove the core by hand. Dry and store the steamed and dried Chinese medicines nine times, and dry the Chinese herbal medicines on sunny days with strong light conditions, generally 4 days in winter and 3 days in summer; on cloudy days, wait until it feels crisp and set aside. The water content is about less than 2%. Store it in a woven bag with an inner transparent bag at a height of more than 10 cm from the ground and 30 cm from the wall to avoid moisture absorption and affect the quality, waiting for the preparation of ointment. Mint grass is suitable for harvesting in the early flowering period, and honeysuckle needs to be picked when the buds first bloom. Monk fruit should be harvested when the fruit turns yellow, and Sterculia lychnophora should be harvested when the fruit is brown. Platycodon grandiflorum is used as medicine with its roots, which are dug in autumn. Tangerine peel is collected from mature citrus peels, and licorice is dug in spring and autumn. The preset ratio database stores the standard dosage of different formulas. In the traditional formula, the ratio of loquat leaves to mint is 3:1, honeysuckle to monk fruit is 2:1, and Sterculia lychnophora to platycodon is 1:1. These ratio data are summarized based on long-term clinical experience and have important reference value. Weight calculation involves multiple dimensions, including the quality of medicinal materials, the strength of efficacy, and incompatibility taboos. Taking honeysuckle as an example, its quality grades are divided into one to three grades, and the dosage of different grades in the formula needs to be adjusted accordingly. Licorice has the function of harmonizing various medicines. It is usually used in small amounts and plays the role of a meridian-inducing medicine in prescriptions. The generation of the mixing instruction set needs to consider the properties of the medicinal materials. The requirements for the degree of pulverization are different. For example, Platycodon grandiflorum needs fine powder, while Sterculia lychnophora should be coarsely crushed. The mixing sequence is also particular. First, mix medicinal materials with similar properties, such as loquat leaves and mint, and then mix with other medicinal materials. Multiple standards are used for quality inspection. Image analysis technology is used to identify the mixing uniformity and observe the distribution of medicinal material particle size. Chromatographic analysis can verify whether the content of each component meets the standard. Taking honeysuckle as an example, its chlorogenic acid content is an important detection indicator. The sweet component content of monk fruit must also meet the specified standard. The test results are determined using a multi-level evaluation system. From sensory indicators to physical and chemical indicators, they must meet the quality standards. After the medicinal materials are mixed, the moisture content must be controlled within the specified range, and impurities must not exceed the standard. The fingerprint spectrum of each medicinal material must meet the requirements of matching with the standard spectrum. The particle size distribution curve after mixing must meet the preset requirements to ensure the quality of the preparation. These strict testing standards and judgment processes ensure that the quality of mixed preparations of Chinese herbal medicines can be controlled.

[0012] Step S102, using a gradient extraction method to prepare a concentrated Chinese herbal medicine paste, adding loquat pectinase (enzyme activity ≥ 500 U / g) to assist in extraction, and performing enzymolysis at pH 4.5 and 35° C. for 45 minutes.

[0013] Obtain Chinese herbal medicine raw materials, and use the gradient extraction method to obtain an extract from the Chinese herbal medicine raw materials, and inject the extract into a reaction pool. Add loquat fruit pectinase to the reaction pool, use spectrophotometry to measure the pectinase activity value of the loquat fruit, and judge whether the enzyme activity value is greater than or equal to a preset threshold. If the enzyme activity value is less than the preset threshold, re-add the loquat fruit pectinase to the reaction pool and measure the enzyme activity value again. According to the pre-established pH value, use a pH meter to adjust the pH value in the reaction pool to the target pH value. According to the pre-established temperature value, use a thermometer to adjust the temperature of the reaction pool to the target temperature value. Start the enzymatic hydrolysis process in the reaction pool, the enzymatic hydrolysis time of the enzymatic hydrolysis process is a preset duration, and the temperature and pH value of the reaction pool are monitored in real time to obtain an enzymatic hydrolysate. Use centrifugal separation technology to carry out solid-liquid separation on the enzymatic hydrolysate, set the centrifugal speed to a preset speed, and the centrifugation time to a preset time to obtain a concentrated paste. According to the pre-established quality standard, judge whether the moisture content of the concentrated paste does not exceed the preset content. If the moisture content of the concentrated paste exceeds the preset content, re-perform the enzymatic hydrolysis process, and the number of repetitions does not exceed the preset number of times.

[0014] Specifically, use the gradient extraction method to obtain an extract from Chinese herbal medicine raw materials, and inject the extract into a reaction pool. Add loquat fruit pectinase to the reaction pool, use spectrophotometry to measure the enzyme activity value and judge whether it is greater than or equal to 500 U / g. If the enzyme activity value is less than 500 U / g, re-add loquat fruit pectinase and measure it again. According to the pre-established pH value, use a pH meter to adjust the pH value in the reaction pool to 5. According to the pre-established temperature value, use a thermometer to adjust the temperature of the reaction pool to 35 °C. Start the enzymatic hydrolysis process in the reaction pool, the enzymatic hydrolysis time is 45 minutes, and the temperature and pH value are monitored in real time to generate an enzymatic hydrolysate. Use centrifugal separation technology to carry out solid-liquid separation on the enzymatic hydrolysate, set the rotation speed to 4000 rpm, and the time to 10 minutes to obtain a concentrated paste. According to the pre-established quality standard, judge whether the moisture content of the concentrated paste does not exceed 10%. If the moisture content of the concentrated paste exceeds 10%, re-perform the enzymatic hydrolysis process, and repeat at most 3 times.

[0015] Gradient extraction is a multi-stage extraction technique that achieves stepwise extraction of different components by controlling the solvent polarity and concentration difference. Mainly for water-soluble and alcohol-soluble substances, low-concentration ethanol is first used for primary extraction, and then the ethanol concentration is gradually increased for fine separation. When the extract is injected into the reaction pool, it needs to maintain a constant temperature, and the temperature difference fluctuation is controlled within ±2°C to ensure the extraction efficiency. Loquat fruit pectinase is a specific hydrolytic enzyme, and its activity unit is measured by the amount of reducing sugar produced by hydrolyzing the substrate per gram of enzyme preparation. The enzyme activity value of 500 U / g is the key threshold to ensure the enzymatic hydrolysis effect. Values lower than this will result in insufficient enzymatic hydrolysis. The determination method uses the 3,5-dinitrosalicylic acid colorimetric method, and the absorbance is measured at a wavelength of 540 nm using a spectrophotometer. The pH value of the reaction pool is adjusted using a buffer system, and the pH is maintained stable at about 5 by phosphate buffer. The choice of pH 5 is because under this acidity condition, the pectinase activity is the highest and it can inhibit the interference of miscellaneous enzymes. Temperature control uses a water bath heating system. 35°C is the optimal temperature for pectinase activity, and at this time the enzyme molecule conformation is most suitable for binding to the substrate. The enzymatic hydrolysis time is set to 45 minutes based on the results of kinetic studies, and the best enzymatic hydrolysis effect can be achieved within this time period. During the reaction process, samples need to be taken every 15 minutes to monitor the reducing sugar content. When the curve tends to be flat, it indicates that the enzymatic hydrolysis has reached equilibrium. Centrifugal separation uses a large-capacity centrifuge, with the rotation speed set at 4000 revolutions per minute and the centrifugation time of 20 minutes, which can effectively separate the solid residue and the liquid phase. The quality standards of the concentrated paste include multiple indicators: the total solid content is not less than 60%, the reducing sugar content is between 45 - 55%, and the moisture content is controlled within the range of 15 - 20%. These indicators can be quickly detected by near-infrared spectroscopy technology to achieve on-line monitoring. The texture of the paste should be uniform and delicate, without obvious granular feeling, and the color is amber to brownish-yellow. In actual production, a quality control chart needs to be established to record the changes of key parameters during the enzymatic hydrolysis process of each batch. By analyzing the parameter fluctuation rules, process deviations can be detected in time and adjusted. At the same time, establish standard operating procedures to ensure that each process link is strictly controlled. The whole process uses an automated control system to achieve precise adjustment of parameters such as temperature, pH, and stirring speed, and improve the product quality stability.

[0016] Step S103, prepare the glycosyl carrier, including 42% white granulated sugar (crystal particle size 200 - 250 μm), 35% glucose syrup (DE value 42 - 45), 20% Chinese herbal medicine concentrated paste (solid content ≥ 60%), and 3% natural menthol (L-menthol purity ≥ 99%).

[0017] Obtain white granulated sugar crystals, measure the particle size of the white granulated sugar crystals using a particle size analyzer, and determine whether the particle size is within a preset range; if the particle size is not within the preset range, use a screening device to screen the white granulated sugar crystals to obtain white granulated sugar with a particle size meeting the requirements. Obtain glucose syrup, measure the DE value of the glucose syrup using a saccharimeter, and determine whether the DE value is within a preset range; if the DE value is not within the preset range, adjust the DE value of the glucose syrup to the target range by adding an enzyme preparation. Obtain Chinese herbal medicine concentrated paste, measure the solid content of the Chinese herbal medicine concentrated paste using a solid content analyzer, and determine whether the solid content reaches a preset threshold; if the solid content does not reach the preset threshold, adjust the solid content of the Chinese herbal medicine concentrated paste to the target value by evaporation concentration. Obtain natural menthol, measure the purity of L-menthol in the natural menthol using a gas chromatograph, and determine whether the purity reaches a preset threshold; if the purity does not reach the preset threshold, purify the natural menthol by distillation to the target purity. According to a preset formula, mix the white granulated sugar with a particle size meeting the requirements, the glucose syrup with a DE value meeting the requirements, the Chinese herbal medicine concentrated paste with a qualified solid content, and the natural menthol with a qualified purity in proportion, and use a stirring device to stir evenly to obtain a sugar-based carrier. Use a component analyzer to measure the proportion of each component in the sugar-based carrier and determine whether it meets the requirements of the preset formula; if not, re-prepare until the proportion of each component meets the requirements.

[0018] Specifically, obtain the particle size data of white granulated sugar crystals, measure the crystal particle size using a particle size analyzer, and determine whether the crystal particle size is within the range of 200 - 250 μm. If the crystal particle size does not meet the range, use a screening device to screen out white granulated sugar with a particle size within the range of 200 - 250 μm. Obtain the DE value data of glucose syrup, measure the DE value of glucose syrup using a saccharimeter, and determine whether the DE value is within the range of 42 - 45. If the DE value does not meet the range, adjust the DE value of glucose syrup to the target range by adding an enzyme preparation. Obtain the solid content data of Chinese herbal medicine concentrated paste, measure the solid content using a solid content analyzer, and determine whether the solid content is ≥ 60%. If the solid content does not meet the requirements, adjust the solid content to the target value by evaporation concentration. Obtain the L-menthol purity data of natural menthol, measure the purity using a gas chromatograph, and determine whether the purity is ≥ 99%. If the purity does not meet the requirements, purify the menthol by distillation to the target purity. According to the pre-established proportion formula, mix 42% white granulated sugar, 35% glucose syrup, 20% Chinese herbal medicine concentrated paste, and 3% natural menthol. Use a stirring device to stir the mixed raw materials evenly to obtain a sugar-based carrier. According to the pre-established quality standard, use a component analyzer to measure the proportion of each component in the sugar-based carrier and determine whether it meets the formula requirements. If not, re-prepare.

[0019] The preparation process of the glycosyl carrier involves a variety of precision detection equipment and process control technologies. Laser scattering method is used for crystal particle size analysis, and the particle size distribution is determined by measuring the diffraction pattern of the sample against the laser beam. During the preparation of granulated sugar, it goes through steps such as crystallization, centrifugation, and drying, and its crystal particle size directly affects solubility and taste. The particle size analyzer is equipped with an automatic sampling system to continuously monitor the changing trend of particle size. The screening equipment adopts vibration screening technology, with multiple layers of sieves stacked in sequence, and the sieve specifications gradually decrease from coarse to fine to ensure separation accuracy. The saccharification degree (DE value) of glucose syrup reflects the degree of starch hydrolysis and directly determines the sweetness and viscosity of the product. The saccharimeter uses the principle of optical rotation to determine the sugar content by measuring the rotation angle of polarized light by the sample. During the adjustment process of enzyme preparations, compound saccharifying enzymes are used to precisely control the degree of hydrolysis under mild conditions to avoid flavor deterioration caused by excessive decomposition. Infrared moisture determination method is used for the determination of the solid content of Chinese herbal medicine concentrated paste. By heating the sample with infrared radiation, the process of water volatilization is monitored. Vacuum decompression concentration equipment is used for evaporation and concentration, controlling the temperature not to exceed 60 °C to ensure both concentration efficiency and avoid damage to active ingredients. During the concentration process, the viscosity change needs to be monitored in real time to prevent crystallization caused by over-concentration. Capillary gas chromatography technology is used for the purity detection of natural menthol, equipped with a hydrogen flame ionization detector to enable trace impurity analysis. A fractionating column is used in the distillation and purification process to achieve component separation by precisely controlling the temperature gradient. During the purification process, the condensation temperature needs to be monitored to ensure the accuracy of target fraction collection. The double-shaft paddle stirrer is used for the mixing and stirring process, and the uniformity is ensured by adjusting the stirring speed and time. The temperature needs to be controlled during the stirring process to prevent local overheating. Near-infrared spectroscopy technology is used for component analysis, which can simultaneously determine the contents of multiple components to achieve rapid quality evaluation. Statistical process control charts are used for quality control to monitor the fluctuation trends of various indicators in real time. The uniformity of the glycosyl carrier directly affects the quality of subsequent products. During the mixing process, the physical property differences of each component, such as particle size, density, etc., need to be considered, and the mixing process parameters are reasonably designed. In addition to physical and chemical indicators, microscopic observation is also required for the finished product inspection to confirm the uniformity of crystal dispersion. The entire production process adopts a central control system to achieve automatic adjustment of process parameters and ensure the stability of product quality.

[0020] Step S104, at 84 - 87 °C and a shear rate of 150 ± 10 / s, mix the glycosyl material with the Chinese herbal medicine concentrated paste for 18 minutes to form a sugar paste matrix.

[0021] Obtain a glycosyl material, measure the temperature of the glycosyl material using a temperature sensor, and determine whether the temperature is within a pre-established temperature range; if the temperature is not within the preset range, adjust the temperature of the glycosyl material to the target value through a heating device. Obtain a concentrated Chinese herbal medicine paste, measure the viscosity of the concentrated Chinese herbal medicine paste using a viscometer, and determine whether the viscosity is within a pre-established viscosity range; if the viscosity is not within the preset range, adjust the viscosity of the concentrated Chinese herbal medicine paste to the target value through dilution or concentration. According to the pre-established proportional parameters, mix the glycosyl material with the required temperature and the concentrated Chinese herbal medicine paste with the required viscosity, and perform the mixing at a target shear rate using a shearing device to obtain a preliminary mixture; use a timer to record the mixing time of the preliminary mixture, and determine whether the mixing time reaches a preset value; if it does not reach the preset value, continue mixing until the target time is reached. Analyze the component uniformity of the preliminary mixture using an infrared spectrometer, and determine whether the component uniformity reaches a pre-established standard; if it does not reach the preset standard, remix until the component uniformity meets the standard. Measure the rheological properties of the preliminary mixture using a rheometer, and determine whether the rheological properties meet the target requirements; if they do not meet the target requirements, optimize the rheological properties by adjusting the shear rate or the mixing time. According to the optimization results, perform a curing treatment on the preliminary mixture to obtain a sugar paste matrix; measure the texture properties of the sugar paste matrix using a texture analyzer, and determine whether the texture properties meet a pre-established standard; if they do not meet the preset standard, readjust the mixing parameters until the texture properties meet the standard.

[0022] Specifically, after obtaining the glycosyl material, use a temperature sensor to measure the temperature of the glycosyl material and determine whether the temperature is within a pre-established temperature range. If the temperature is not within the preset range, adjust the temperature of the glycosyl material to the target value through a heating device. After obtaining the Chinese herbal medicine concentrated paste, use a viscometer to measure the viscosity of the Chinese herbal medicine concentrated paste and determine whether the viscosity is within a pre-established viscosity range. If the viscosity is not within the preset range, adjust the viscosity of the Chinese herbal medicine concentrated paste to the target value by dilution or concentration. According to the pre-established proportional parameters, mix the glycosyl material with a temperature meeting the requirements and the Chinese herbal medicine concentrated paste with a viscosity meeting the requirements, and use a shearing device to mix at the target shear rate to obtain a preliminary mixture. Use a timer to record the mixing time of the preliminary mixture and determine whether the mixing time reaches the preset value. If it does not reach the preset value, continue mixing until the target time is reached. Use an infrared spectrometer to analyze the component uniformity of the preliminary mixture and determine whether the component uniformity reaches a pre-established standard. If it does not reach the preset standard, remix until the component uniformity meets the standard. Use a rheometer to measure the rheological properties of the preliminary mixture and determine whether the rheological properties meet the target requirements. If they do not meet the target requirements, optimize the rheological properties by adjusting the shear rate or mixing time. According to the optimization results, subject the preliminary mixture to a curing treatment to obtain a sugar paste matrix. Use a texture analyzer to measure the texture properties of the sugar paste matrix and determine whether the texture properties meet a pre-established standard. If they do not meet the preset standard, readjust the mixing parameters until the texture properties meet the standard.

[0023] The temperature control of the glycosyl material is a crucial step to ensure product quality. The temperature sensor adopts the thermocouple principle, with a temperature measurement range of -50°C to 200°C and a thermal response time of no more than 0.5 seconds. The temperature range is controlled between 45°C and 55°C. Too high a temperature will cause the glycosyl material to coke, while too low a temperature will affect solubility. The heating equipment uses a double-layer jacket heating method, with a steam temperature gradient within 5°C to ensure uniform heating. The viscosity of the Chinese herbal medicine concentrated paste is measured using a rotational viscometer, with a measurement range of 1 - 100 Pa·s and a shear rate of 10 - 50 / s. The viscosity is controlled between 20 - 30 Pa·s. Too high a viscosity will affect the mixing uniformity, while too low a viscosity will make it difficult to form a stable system. The viscosity is adjusted by adding purified water or by vacuum concentration, with each adjustment amplitude controlled within 5%. The mixing process uses a high-shear disperser, with a rotational speed range of 1000 - 3000 revolutions per minute and a shear head diameter of 80 mm. The shear rate is set at 2000 revolutions per minute. Too high a shear rate will damage the active ingredients, while too low a shear rate will result in insufficient mixing. The mixing time is controlled within 15 - 20 minutes, and samples are taken for testing every 3 minutes during this period. Fourier transform infrared spectroscopy is used for infrared spectral analysis, with a wavenumber range of 4000 to 400 per centimeter and a resolution of 4 per centimeter. The uniformity is judged by the ratio of the characteristic peak areas, and the relative standard deviation is required to be less than 2%. Uneven mixing will lead to performance differences among batches of products. The rheological property tests include parameters such as shear viscosity and yield stress, using a stress-controlled rheometer. The shear rate scanning range is from 0.1 to 100 per second, and the test temperature is kept constant at 50°C. The rheological curve shows the characteristics of a pseudoplastic fluid, and the yield stress is controlled between 10 and 15 Pa. The sugar paste matrix is cured using a cooling forming process, with the temperature dropping from 50°C to room temperature at a cooling rate of 0.5 degrees per minute. Texture analysis measures parameters such as hardness and adhesiveness, using a test probe with a diameter of 25 mm and a compression deformation of 30%. The hardness range is required to be between 100 - 120 N, and the adhesiveness does not exceed 0.5 Newton·meter.

[0024] Step S105: Heat up to 95 - 100°C and maintain a vacuum of -0.05 MPa to increase the refractive index of the sugar solution from 65°Bx to 78°Bx for 12 minutes.

[0025] Obtain the initial refractive index and temperature of the sugar solution, and determine whether the refractive index is lower than a preset threshold; if so, control the heating device to raise the temperature of the sugar solution to a preset range. Adjust the vacuum pump to adjust the vacuum degree to a preset value, and determine whether the vacuum degree reaches the target value; if not, adjust the parameters of the vacuum pump until the vacuum degree meets the standard. After the vacuum degree meets the standard, use a refractometer to monitor the change of the refractive index of the sugar solution in real time, and determine whether the refractive index reaches the target value; if not, keep the temperature and vacuum degree unchanged until the refractive index meets the standard. At the same time, start a timer to record the heating time, and determine whether the time reaches a preset threshold; if not, continue to maintain the temperature and vacuum degree until the time meets the standard. According to the obtained change data of the refractive index of the sugar solution, use non-linear regression analysis to establish the functional relationship between the sugar solution concentration, heating temperature, vacuum degree and heating time, and determine whether the functional relationship conforms to a preset model; if not, adjust the heating rate or vacuum degree parameters. Use a temperature sensor and a vacuum gauge to monitor the temperature and vacuum degree of the sugar solution in real time, and determine whether the parameters are stable within the target range; if not, adjust the control parameters of the heating device or the vacuum pump. According to the optimized refractive index, temperature and vacuum degree data of the sugar solution, generate a multi-parameter dynamic control curve for the sugar solution concentration process to guide the optimization and control of the subsequent sugar solution concentration process.

[0026] Specifically, obtain the initial refractive index and temperature of the sugar solution, and determine whether the refractive index is lower than 65°Bx. If it is lower than 65°Bx, raise the temperature of the sugar solution to 95 - 100°C through the heating device. Use a vacuum pump to adjust the vacuum degree to -5 MPa, and determine whether the vacuum degree reaches the target value. If it does not reach the target value, adjust the parameters of the vacuum pump until the vacuum degree meets the standard. After the vacuum degree meets the standard, use a refractometer to monitor the change of the refractive index of the sugar solution, and determine whether the refractive index reaches 78°Bx. If it does not reach 78°Bx, continue to maintain the temperature and vacuum degree until the refractive index meets the standard. At the same time, use a timer to record the heating time, and determine whether the time reaches 12 minutes. If it does not reach 12 minutes, continue to maintain the temperature and vacuum degree until the time meets the standard. According to the change data of the refractive index of the sugar solution, use linear regression analysis to analyze the rate of increase in the sugar solution concentration, and determine whether the rate conforms to a preset range. If it does not conform to the preset range, adjust the heating rate or vacuum degree. Use a temperature sensor and a vacuum gauge to monitor the temperature and vacuum degree of the sugar solution in real time, and determine whether the parameters are stable within the target range. If they are not stable, adjust the parameters of the heating device or the vacuum pump. According to the optimized refractive index, temperature and vacuum degree data of the sugar solution, generate control parameters for the sugar solution concentration process for subsequent sugar solution concentration treatment.

[0027] During the sugar solution concentration process, the refractive index is measured using an Abbe refractometer. The measurement range covers from zero to ninety degrees, with an accuracy of 0.01 degrees, and it is measured every five minutes. The refractive index indicates the content of soluble solids in the sugar solution. Sugar solutions below 65 degrees need to be further concentrated to ensure the quality of the final product. In actual production, the initial refractive index of the sugar solution is usually between 55 and 60 degrees, and after concentration, it reaches 78 degrees, which can ensure that the sugar paste has good stability and fluidity. The heating system combines electric heating and steam heating and is monitored in real time through temperature sensors. The steam pressure is controlled at 0.6 MPa to ensure uniform heating. The temperature control system uses proportional-integral regulation, and the temperature fluctuation is controlled within the range of plus or minus 1 degree. A temperature of 95°C - 100°C is conducive to the rapid evaporation of water while avoiding the caramelization of the sugar solution. The vacuum system consists of a rotary vane vacuum pump and a vacuum buffer tank, and the vacuum degree is monitored using a digital vacuum gauge. A vacuum degree of -5 Mpa can reduce the boiling point of the sugar solution and reduce thermal damage. The rotational speed of the vacuum pump is adjusted by a frequency converter, with an initial setting of 3000 revolutions per minute, and it is dynamically adjusted according to the change in vacuum degree. The vacuum degree fluctuation is controlled within the range of 0.1 Mpa to maintain the stability of the concentration process. The concentration increase rate analysis uses the least squares method and is calculated through the curve of the refractive index changing with time. During the normal concentration process, the concentration increase rate should be maintained within the range of 1.5 to 2 degrees per minute. If the rate is too fast, it may cause local overheating of the sugar solution and affect the quality. If the rate is too slow, it will increase energy consumption and extend the production cycle. The stability of temperature and vacuum degree is evaluated through the standard deviation. The temperature standard deviation should be less than 0.5°C, and the vacuum degree standard deviation should be less than 0.05 Mpa. The real-time monitoring data is collected through an industrial control system, and the sampling frequency is once per second. The temperature sensor uses a platinum resistance with a range of zero to 200°C and an accuracy of 0.1°C. The vacuum gauge is capacitive with a range of 0 to -10 Mpa and an accuracy of 0.01 Mpa. The optimized process parameters include: a heating rate of 2°C per minute, a rotational speed of the vacuum pump of 3000 revolutions per minute, a stable temperature of 98°C, and a stable vacuum degree of -5 Mpa. These parameters can ensure the uniform concentration of the sugar solution, avoid local overheating and component degradation. The complete concentration process curve is recorded through a data acquisition system for quality traceability and process optimization. In addition to the refractive index, the determination of the concentration end point also needs to be comprehensively evaluated in combination with sensory indicators such as the viscosity and transparency of the sugar solution.

[0028] Step S106, under the conditions of a vacuum pressure of 7.5 ± 0.3 bar and a temperature of 145 ± 2°C, carry out spiral extrusion continuous vacuum boiling for 6 minutes, and control the final moisture content ≤ 1.8%.

[0029] Obtain the vacuum degree data, and judge whether the vacuum degree is within the range of 5±3 bar. If not, adjust the parameters of the vacuum pump until the vacuum degree meets the standard; obtain the heating temperature data, and judge whether the heating temperature is within the range of 145±2 °C. If not, control the heating device to adjust the heating temperature until it meets the standard; after the vacuum degree and the heating temperature meet the standard, start the screw extrusion type continuous vacuum boiling equipment and start timing; use a moisture sensor to continuously monitor the change of the moisture content during the boiling process, and judge whether the moisture content is ≤8%. If not, continue boiling until the moisture content meets the standard; when the boiling time reaches 6 minutes, judge whether the moisture content meets the standard. If it meets the standard, stop boiling and record the process parameters; according to the recorded process parameters, establish a relationship model between the boiling time and the moisture content by linear regression analysis; according to the established relationship model, optimize the process parameters of the screw extrusion type continuous vacuum boiling, generate a dynamic control curve and apply it to subsequent process optimization.

[0030] Specifically, obtain the vacuum degree data, and judge whether the vacuum degree is within the range of 5±3 bar. If not, adjust the parameters of the vacuum pump until it meets the standard. Obtain the heating temperature data, and judge whether the heating temperature is within the range of 145±2 °C. If not, control the heating device to adjust the temperature until it meets the standard. After the vacuum degree and the heating temperature meet the standard, start the screw extrusion type continuous vacuum boiling equipment and start timing. Use a moisture sensor to continuously monitor the change of the moisture content during the boiling process, and judge whether the moisture content is ≤8%. If not, continue boiling until it meets the standard. When the boiling time reaches 6 minutes, judge whether the moisture content meets the standard. If it meets the standard, stop boiling and record the process parameters. According to the recorded process parameters, establish a relationship model between the boiling time and the moisture content by linear regression analysis. According to the established model, optimize the process parameters of the screw extrusion type continuous vacuum boiling, generate a dynamic control curve and apply it to subsequent process optimization.

[0031] Vacuum monitoring uses a digital vacuum gauge to collect data in real time. During normal operation, the vacuum should be maintained within the range of 5 ± 3 Pa. The vacuum pump system includes a main pump and an auxiliary pump, and the pump speed is controlled by a frequency converter. When the vacuum deviates from the target range, the control system automatically adjusts the pump speed. The main pump speed range is from two thousand to four thousand revolutions per minute, and the auxiliary pump speed range is from 1500 to 3000 revolutions per minute. The dynamic balance of the vacuum can be achieved by adjusting the pump speed. The heating system uses a pipe-type electric heater and a steam heater for dual heating. The power of the electric heater is twenty kilowatts and is controlled in three sections. The working pressure of the steam heater is 0.8 MPa, and the heating temperature is controlled by adjusting the opening of the steam valve. The temperature sensor uses a platinum resistance with a measuring range of 0 to 200 °C and an accuracy of 0.1 °C, and is arranged at three temperature measurement points. Temperature control uses proportional-integral regulation, and the temperature fluctuation is controlled within the range of plus or minus one degree. The spiral extrusion type continuous vacuum boiling equipment mainly consists of a feeding hopper, a screw, a heating jacket, a vacuum chamber, and a discharging device. The screw diameter is 80 mm, the length is 1.2 m, and the pitch is 40 mm. During the boiling process, the material is subjected to shearing and extrusion during the screw conveying process, and at the same time, water evaporation occurs under vacuum and heating conditions. Moisture content monitoring uses a near-infrared moisture sensor with a measuring range of 0 - 50% and an accuracy of 0.1%, and the sampling frequency is ten times per second. The sensor is installed at the discharging end to monitor the moisture content of the material after boiling in real time. When the moisture content is higher than eight percent, it is controlled by adjusting the screw speed and the heating temperature. The screw speed range is 20 - 60 revolutions per minute. The lower the speed, the longer the material stays in the heating zone, and the more sufficient the water evaporation. Process parameter records include data such as vacuum, temperature, screw speed, and moisture content. These parameters are collected through an industrial control system to establish a database. The least squares method is used for linear regression analysis to obtain a relationship model between the boiling time and the moisture content. The model can predict the boiling time required to reach the target moisture content under different process parameters. Through model optimization, the best combination of temperature, vacuum, and screw speed can be obtained. The dynamic control curve takes into account the material characteristics and equipment capabilities, including the heating-up curve, the vacuum adjustment curve, and the screw speed curve. Through curve control, the automatic operation of the boiling process can be achieved, and the product quality stability can be improved. For example, in the startup stage, the temperature and vacuum gradually reach the working values according to the preset curve, and the screw speed gradually increases from low speed to the working speed to avoid material sticking to the wall and charring.

[0032] Step S107, use GC-MS analysis to detect the synergistic effect of Siraitia grosvenorii and Mentha haplocalyx Briq., and determine that the total peak area ratio of 3 specific terpene compounds (molecular weights 367.4, 299.1, and 272.5 Da) ≥ 15%.

[0033] Obtain the gas chromatography-mass spectrometry data of Momordica grosvenori and Mentha haplocalyx samples, and extract the peak areas of three terpenoid compounds with molecular weights of 364 Da, 291 Da, and 275 Da from the gas chromatography-mass spectrometry data; calculate the ratio of the sum of the peak areas of the three terpenoid compounds to the total peak area to obtain the total peak area percentage; determine whether the total peak area percentage is greater than or equal to a preset threshold. If not, adjust the sample extraction conditions and re-obtain the gas chromatography-mass spectrometry data; according to the gas chromatography-mass spectrometry detection results, establish a regression model of the peak area of the terpenoid compounds and the sample extraction time, temperature, and solvent ratio using the multiple regression method; based on the regression model, determine the optimal sample extraction conditions by predicting the peak areas of the terpenoid compounds under different extraction conditions, and generate a dynamic control curve; apply the dynamic control curve to subsequent sample processing, and achieve precise control of the peak area of the terpenoid compounds by dynamically adjusting the extraction time, temperature, and solvent ratio.

[0034] Specifically, gas chromatography-mass spectrometry combines column separation and mass spectrometry detection to accurately analyze terpene compounds in complex matrices. In the analysis of Siraitia grosvenorii and Mentha haplocalyx samples, the selected chromatographic column is a capillary column with a length of 30 m, an inner diameter of 0.25 mm, and a film thickness of 0.25 μm. The inlet temperature is set at 280 °C, the ion source temperature of the mass spectrometer detector is 230 °C, and the electron impact source is used. Helium is selected as the carrier gas with a flow rate of 1 mL per minute. The mass spectrometry scanning range is 50 to 500, and the acquisition frequency is 10 Hz per second. The extraction conditions of terpene compounds have an important impact on the detection results. The extraction time can be set from 30 min to 90 min, the temperature is controlled at 30 °C to 70 °C, and the ethanol solvent ratio is 50% to 90%. Too short extraction time will lead to insufficient extraction of the target substance, while too long time may cause degradation of the target substance. Too high temperature will accelerate the volatilization loss of terpene compounds, and too low temperature is not conducive to the dissolution of terpene substances. Too high solvent ratio will lead to co-extraction of impurities, and too low ratio will reduce the extraction efficiency. Taking three terpene compounds as examples, the retention time of the compound with a molecular weight of 364 is 15.6 min, and the peak area is 1.2 million; the retention time of the compound with a molecular weight of 291 is 18.3 min, and the peak area is 800,000; the retention time of the compound with a molecular weight of 275 is 21.7 min, and the peak area is 600,000. The total peak area is 20 million, and the calculated proportion of the peak areas of the three terpene compounds is 13%. Since the proportion is lower than the target value of 15%, the extraction conditions need to be adjusted. A mathematical model is established through multiple regression analysis, with the independent variables including extraction time, temperature, and solvent ratio, and the dependent variable being the proportion of the peak area of terpene compounds. The experimental data show that when the extraction time is 60 min, the temperature is 50 °C, and the ethanol solvent ratio is 70%, the peak area proportion reaches the maximum value of 18%. Based on this, a dynamic control curve is established. During the extraction process, the temperature rises to 50 °C at a rate of 1 °C per minute and remains constant; the solvent ratio remains at 70% in the first 30 min and gradually decreases to 60% in the next 30 min, which is beneficial to reducing impurity interference. This control method can fully extract the target compound and avoid losses caused by too high temperature or improper solvent ratio. Guiding the subsequent sample processing through the dynamic control curve can achieve stable control of the terpene compound content and ensure the reliability of the analysis results.

[0035] Step S108, the hardness is measured to be 3.2 ± 0.3 N / mm² by a texture analyzer, the disintegration time in the 37 °C saliva simulation fluid is ≤ 25 s, and the T50 of menthol dissolution in the oral environment is ≤ 1.8 min.

[0036] Obtain the data of the hardness, disintegration time, and dissolution time of the sample. Among them, the hardness value is measured under the condition of 37°C, the disintegration time is measured in the saliva simulation solution at 37°C, and the dissolution time is the dissolution time of menthol measured in the oral environment. Standardize the data of the hardness, disintegration time, and dissolution time to obtain the standardized data. According to the standardized data, perform multiple regression analysis using the least squares method to obtain a sample performance correlation model, and the sample performance correlation model reflects the correlation between the hardness, disintegration time, and dissolution time of the sample. For different temperature conditions, based on the sample performance correlation model, use the interpolation method to predict the sample performance under different temperature conditions and determine the optimal temperature condition, where the optimal temperature condition refers to the temperature condition with the best predicted sample performance. Obtain the subsequent samples to be tested, use the optimal temperature condition as the test temperature, and measure the performance of the subsequent samples to be tested at this temperature. During the process of measuring the performance of the subsequent samples to be tested, use the PID control algorithm to dynamically adjust the temperature parameters of the test equipment according to the real-time measured temperature data to keep the test temperature at the optimal temperature condition.

[0037] Specifically, a texture analyzer is an important instrument for measuring the physical properties of samples, and hardness data is obtained by the probe compressing the sample downward. In the experiment, the diameter of the probe is set to 10 mm, the compression speed is 2 mm per second, and the compression depth is 50% of the original height. Taking a batch of samples as an example, the hardness value measured at 37 °C is 7.5 N, which reflects the mechanical strength and structural characteristics of the samples. The disintegration time is measured using a standard disintegrator. The sample is placed in a 37 °C saliva simulation solution, and the sample disintegration is promoted by the reciprocating movement of the basket up and down. The components of the simulation solution include sodium chloride, potassium dihydrogen phosphate, etc., and the pH value is controlled at 6.8, which is similar to the oral environment. The measured disintegration time of the sample is 20 s, meeting the requirement of less than 25 s, indicating that it can quickly disintegrate in the oral cavity. The dissolution time of menthol is measured using a dissolution tester, and the dissolution medium is a 37 °C saliva simulation solution. The rotation speed of the stirring paddle is set to 75 revolutions per minute to simulate the movement of the tongue in the oral cavity. Samples are taken at regular intervals for content determination to obtain a dissolution curve. The time required for 50% dissolution of menthol is measured to be 6 min, meeting the standard of less than 8 min. Data standardization is performed using the maximum-minimum method, and the hardness, disintegration time, and dissolution time are converted to the range of 0-1. The standardized hardness is 0.6, the disintegration time is 0.4, and the dissolution time is 0.5, which is beneficial for subsequent modeling analysis. A performance correlation model is obtained through multiple regression, and it is found that the hardness is positively correlated with the disintegration time, and the correlation coefficient is 0.8, indicating that the greater the hardness, the longer the disintegration time. Interpolation method prediction shows that in the range of 35 °C - 40 °C, for every 1 °C increase, the disintegration time shortens by about 1 s, and the dissolution time shortens by about 0.3 min. When the optimal temperature is 37.5 °C, the hardness is 7 N, the disintegration time is 18 s, and the dissolution time is 5.5 min, and all indicators reach the optimal. The proportional-integral-derivative control algorithm maintains the temperature at the optimal value by real-time monitoring and adjustment. The temperature deviation fluctuates within the range of ±0.2 °C, achieving stable control of the sample performance. This method can improve the quality stability of the samples and ensure consistency between batches. By adjusting the three parameters of the proportional coefficient, integral time, and derivative time, the temperature can quickly reach the set value and remain stable, avoiding the influence of temperature fluctuations on the sample performance.

[0038] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A method and process for extracting natural plants from throat lozenges, characterized in that, Comprising: Mixing nine traditional Chinese medicine raw materials including loquat fruits, loquat leaves, mint grass, honeysuckle flowers, monk fruit, semen sterculiae lychnopherae, platycodon grandiflorum, dried tangerine peel, and liquorice to prepare a concentrated traditional Chinese medicine paste; According to a preset formula, mixing granulated sugar, glucose syrup, the concentrated traditional Chinese medicine paste, and natural menthol in proportion to obtain a sugar-based carrier; Heating the sugar-based carrier, increasing the vacuum degree, raising the refractive index of the sugar solution, and then performing spiral extrusion continuous vacuum boiling to control the moisture content of the final product; Analyzing the proportion of the total peak area of three specific terpene compounds in the product by gas chromatography-mass spectrometry (GC-MS), and simultaneously measuring the hardness, disintegration time, and dissolution time of menthol in the product.

2. The method and process for extracting natural plants from throat lozenges according to claim 1, characterized in that, The mixing of the nine traditional Chinese medicine raw materials including loquat fruits, loquat leaves, mint grass, honeysuckle flowers, monk fruit, semen sterculiae lychnopherae, platycodon grandiflorum, dried tangerine peel, and liquorice comprises: Crushing and weighing the nine traditional Chinese medicine raw materials, mixing them evenly, preparing a concentrated traditional Chinese medicine paste by gradient extraction method, adding loquat fruit pectinase for auxiliary extraction, and enzymolyzing for a certain time at a set pH value and temperature.

3. The natural plant extraction method and process of the throat lozenge according to claim 1, characterized in that, The mixing of granulated sugar, glucose syrup, the concentrated traditional Chinese medicine paste, and natural menthol in proportion according to a preset formula comprises: Mixing granulated sugar with a particle size of 200 - 250 μm and a content of 42%, glucose syrup with a DE value of 42 - 45 and a content of 35%, a concentrated traditional Chinese medicine paste with a solid content of not less than 60% and a content of 20%, and natural menthol with an L-menthol purity of not less than 99% and a content of 3% evenly in proportion.

4. The method and process for extracting natural plants from throat lozenges according to claim 1, characterized in that, The heating of the sugar-based carrier comprises: Mixing the sugar-based carrier with the concentrated traditional Chinese medicine paste for a certain time under set temperature and shear rate conditions to form a sugar paste matrix.

5. The method and process for extracting natural plants from throat lozenges according to claim 4, characterized in that, The increasing of the vacuum degree to raise the refractive index of the sugar solution comprises: Heating to a set range and maintaining a set vacuum degree to raise the refractive index of the sugar solution from 65°Bx to 78°Bx and maintaining for a set time.

6. The method and process for extracting natural plants from throat lozenges according to claim 1, characterized in that, The spiral extrusion continuous vacuum boiling comprises: Performing spiral extrusion continuous vacuum boiling for a set time under set vacuum pressure and temperature conditions to control the moisture content of the final product not exceeding 1.8%.

7. The method and process for extracting natural plants from throat lozenges according to claim 1, characterized in that, The analyzing of the proportion of the total peak area of three specific terpene compounds in the product by gas chromatography-mass spectrometry (GC-MS) comprises: Analyzing and detecting the synergistic effect of monk fruit and mint grass by gas chromatography-mass spectrometry (GC-MS), and determining that the proportion of the total peak area of three specific terpene compounds with molecular weights of 367.4, 299.1, and 272.5 Da in the total peak area is not less than 15%.

8. The method and process for extracting natural plants from throat lozenges according to claim 1, characterized in that, The measuring of the hardness, disintegration time, and dissolution time of the product comprises: Measuring the hardness of the product by a texture analyzer to be 3.2 ± 0.3 N / mm²; Measuring the disintegration time of the product in a 37°C saliva-simulating solution not exceeding 25 seconds; Measuring the time for 50% dissolution of menthol in the oral environment not exceeding 1.8 minutes.

9. The method and process for extracting natural plants from throat lozenges according to claim 8, characterized in that, Wherein: The hardness value is measured under the condition of 37°C, the disintegration time is measured in a 37°C saliva-simulating solution, and the dissolution time is the dissolution time of menthol measured in the oral environment; Standardizing the data of the hardness, disintegration time, and dissolution time to obtain standardized data.

10. The method and process for extracting natural plants from throat lozenges as described in claim 9, characterized in that Based on the standardized data, multiple regression analysis is performed using the least squares method to obtain a sample performance correlation model, and the sample performance correlation model reflects the correlation between sample hardness, disintegration time, and dissolution time.

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