Production method of soft sweets with high content of magnesium and calcium

Abstract

The invention discloses a production method of high-content magnesium and calcium soft sweets.The production method comprises the following steps that S1, minerals such as magnesium and calcium are selected, and the initial content of the minerals is determined; s2, selecting a natural sweetening agent, establishing an interaction model of the sweetening agent and mineral substances, constructing a preliminary calculation formula of the influence of the sweetening agent on the solubility of the mineral substances, and adjusting the type and proportion of the sweetening agent; s3, consumer data are collected, a personalized mineral formula optimization algorithm formula is established, and the proportion of minerals is optimized; and S4, based on an optimization result, adjusting production process conditions, and ensuring the quality of the soft sweets and the stability of mineral substances. According to the present invention, the personalized mineral substance ratio can be provided according to the requirements of different consumers so as to meet the requirements of the market on functional, personalized and healthy food.

Description

Technical Field

[0001] The present invention relates to the technical field of gummy production, and particularly to a production method of high-magnesium and high-calcium gummies. Background Art

[0002] With the improvement of consumers' health awareness, functional foods rich in minerals have gradually attracted attention. As important mineral elements, magnesium and calcium have various effects such as regulating human metabolism and bone health. In recent years, as a convenient and popular form of health food, the development of high-mineral-content formulations for gummies has become a research hotspot in the food industry.

[0003] Currently, most production methods of high-mineral-content gummies mainly focus on increasing the mineral content, but relatively less research has been done on mineral solubility, taste, and consumers' personalized needs. In the existing technology, the mutual influence between the selection of sweeteners and mineral solubility lacks a systematic model, resulting in unsatisfactory mineral absorption effects in gummies. There is a lack of a formula optimization method based on consumers' personalized data, which cannot meet the needs of different consumers and reduces the market competitiveness of products. Summary of the Invention

[0004] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract, and the title. However, such simplifications or omissions shall not be used to limit the scope of the present invention.

[0005] In view of the problems existing in the current production method of high-magnesium and high-calcium gummies, the present invention is proposed.

[0006] Therefore, the purpose of the present invention is to provide a production method of high-magnesium and high-calcium gummies, which is applicable to solving the problems of unsatisfactory mineral absorption effects in gummies, inability to meet the needs of different consumers, and reduction of the market competitiveness of products.

[0007] To solve the above technical problems, the present invention provides the following technical solution: A production method of high-magnesium and high-calcium gummies, comprising the following steps:

[0008] S1: Select minerals such as magnesium and calcium and determine their initial contents;

[0009] S2: Select natural sweeteners, establish an interaction model between the sweeteners and the minerals, construct a preliminary calculation formula for the influence of the sweeteners on the mineral solubility, and adjust the type and proportion of the sweeteners;

[0010] S3: Collect consumers' data, establish a personalized mineral formula optimization algorithm formula, and optimize the proportion of the minerals;

[0011] S4: Based on the optimization results, adjust the production process conditions to ensure the quality of the gummy candies and the stability of minerals.

[0012] As a preferred embodiment of the production method of the high-content magnesium and calcium gummy candies according to the present invention, wherein: the preliminary calculation formula for the influence of the sweetener on the solubility of minerals is as follows:

[0013]

[0014] Wherein, D sweet (x, t) represents the influence of the sweetener on the solubility of minerals, which is affected by the sweetener concentration x and time t. x represents the sweetener concentration, t is the time variable, α1 is the influence coefficient of the sweetener concentration on the solubility of minerals, β1 represents the amplitude coefficient of the influence of the sweetener type on the solubility of minerals, and γ1 is the coefficient of the influence of time on the solubility of minerals.

[0015] As a preferred embodiment of the production method of the high-content magnesium and calcium gummy candies according to the present invention, wherein: set the minimum threshold of the sweetener solubility as D sweet，th ;

[0016] If D sweet (x, t) ≥ D sweet，th , it indicates that the interaction between the sweetener and the minerals promotes the dissolution of minerals at the current concentration, and there is no need to adjust the sweetener concentration;

[0017] If D sweet (x, t) < D sweet，th , it means that the promoting effect of the interaction between the sweetener and the minerals on the minerals is not obvious at the current concentration, and it is necessary to adjust the sweetener concentration.

[0018] As a preferred embodiment of the production method of the high-content magnesium and calcium gummy candies according to the present invention, wherein: construct a modified model formula for the interaction between the mineral solubility and the sweetener according to the output result of the preliminary calculation formula for the influence of the sweetener on the mineral solubility, and the modified model formula is as follows:

[0019]

[0020] Wherein, D mineral (x, t) is the mineral solubility, which is affected by both the sweetener concentration x and time t. A1, B1, and C1 represent the parameter coefficients related to the mineral solubility and the sweetener concentration, respectively representing the relationship coefficients between the mineral solubility and the sweetener concentration. ω1 represents the frequency coefficient related to the periodic relationship of time, controlling the fluctuation of the mineral solubility with time, and δ1 represents the coefficient of the correction of time on the mineral solubility.

[0021] As a preferred embodiment of the production method of the high-magnesium and high-calcium gummy candies of the present invention, wherein: a final solubility threshold D is constructed from the output result of the correction model formula for the interaction between mineral solubility and sweetener. mineral,th ;

[0022] If D mineral (x,t) ≥ D mineral,th , it indicates that the solubility of the mineral is high enough under the current conditions, and the personalized formula optimization stage is entered.

[0023] If D mineral (x,t) < D mineral,th , it indicates that the solubility of the mineral is insufficient under the current conditions, and the sweetener concentration or mineral ratio needs to be further adjusted to ensure the full dissolution of the mineral.

[0024] As a preferred embodiment of the production method of the high-magnesium and high-calcium gummy candies of the present invention, wherein: the formula of the personalized mineral formula optimization algorithm is as follows:

[0025]

[0026] Wherein, F personal (C ca , C Mg , x, a, b) is the personalized mineral formula optimization function, which outputs the optimal ratio result of the mineral and the sweetener. C ca is the concentration of calcium, C Mg is the concentration of magnesium, x is the concentration of the sweetener, μ ca is the expected value of the calcium concentration, which is adjusted personalized according to the needs of consumers. μ Mg is the expected value of the magnesium concentration, which is adjusted personalized according to the needs of consumers. μ sweet is the expected value of the flavoring agent concentration, which is adjusted personalized according to the needs of consumers. and σ1 are the penalty coefficients that control the deviation between the calcium and magnesium concentrations and their expected values respectively. ζ1 is the adjustment coefficient of the sweetener concentration deviation. D mineral (x) is the correction term of mineral solubility calculated according to the sweetener concentration x.

[0027] As a preferred embodiment of the production method of the high-magnesium and high-calcium gummy candies of the present invention, wherein: a final threshold is set as F in the output result of the personalized mineral formula optimization algorithm formula. personal，th ;

[0028] If F personal (C ca , C Mg , x, a, b) ≥ F personal，th, indicating that the optimization of the current mineral ratio and sweetener concentration is completed, meeting the personalized needs of consumers;

[0029] If F personal (C ca , C Mg , x, a, b) < F personal，th , it is necessary to further adjust the mineral concentration or sweetener concentration until the personalized needs are met.

[0030] As a preferred embodiment of the production method of the high-magnesium and high-calcium gummy candies of the present invention, wherein: when the α1 controls the change rate of the mineral solubility when the sweetener concentration increases, the β1 is used to adjust the influence intensity of this type of sweetener, and the γ1 controls the influence intensity of the square of time on the mineral solubility.

[0031] As a preferred embodiment of the production method of the high-magnesium and high-calcium gummy candies of the present invention, wherein: the S3 specifically includes the following steps:

[0032] S31: Collect consumer data, specifically including the age, gender, weight and health status of consumers;

[0033] S32: Use an algorithm to adjust the calcium and magnesium concentrations according to the personal characteristics of consumers;

[0034] S33: According to the algorithm output, adjust the calcium and magnesium concentrations to meet the individual needs of consumers.

[0035] As a preferred embodiment of the production method of the high-magnesium and high-calcium gummy candies of the present invention, wherein: the S4 includes the following steps:

[0036] S41: Adjust the temperature and humidity of the production process according to the results of the optimization algorithm;

[0037] S42: Produce high-magnesium and high-calcium gummy candies according to the optimized sweetener and mineral formula;

[0038] S43: Regularly detect the calcium and magnesium concentrations and the content of sweeteners in the gummy candies to ensure that they meet the standards.

[0039] The beneficial effects of the present invention: By introducing a model of the interaction between natural sweeteners and minerals, the type and proportion of sweeteners can be accurately adjusted, and combined with consumer personalized data for formula optimization, it can improve the taste of the product and the absorption effect of consumers while ensuring the effectiveness and stability of minerals. Such gummy candies not only have higher health value but also can provide personalized mineral ratios according to the needs of different consumers, meeting the market's demand for functional, personalized and healthy foods. Description of the Drawings

[0040] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings. Among them:

[0041] Figure 1 It is a schematic diagram of the overall process of a production method of high-content magnesium and calcium gummy candies proposed by the present invention;

[0042] Figure 2 It is a schematic diagram of the sub-step process of S2 of a production method of high-content magnesium and calcium gummy candies proposed by the present invention. Specific Embodiments

[0043] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will give a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings of the specification.

[0044] In the following description, many specific details are set forth to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0045] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that can be included in at least one implementation manner of the present invention. The "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that excludes other embodiments.

[0046] Furthermore, the present invention is described in detail in conjunction with the schematic diagrams. When detailing the embodiments of the present invention, for the convenience of explanation, the cross-sectional views showing the device structure will be enlarged locally out of the general proportion, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0047] Embodiment 1

[0048] Refer to Figure 1 - Figure 2 , which is an embodiment of the present invention, and provides a production method of high-content magnesium and calcium gummy candies, including the following steps:

[0049] S1: Select minerals such as magnesium and calcium, considering their bioavailability, solubility, stability, and the health needs of consumers. For magnesium, usually choose magnesium citrate, etc. Magnesium citrate provides magnesium element, which helps to maintain nerve and muscle function, bone health, cardiovascular health, etc. For calcium, choose calcium citrate, tricalcium phosphate, etc. Calcium citrate provides calcium element, promotes the health of bones and teeth, and helps prevent bone problems such as osteoporosis. Tricalcium phosphate provides calcium element and is mainly used for the construction of bones and teeth. As a stable compound of calcium, tricalcium phosphate is easily absorbed by the human body. After adding these minerals, the gummy bears not only have a sweet taste and good texture, but also can provide additional nutrients, especially for some children or elderly groups, which is very helpful for increasing the daily intake of minerals. These minerals are more easily absorbed by the human body and have good solubility. Determine the preliminary ratio of calcium and magnesium in the gummy bears and their preliminary content, usually set according to the recommended daily intake. For example, based on the recommended daily calcium intake for adults, set the calcium concentration to 500mg / 30g gummy bears and magnesium to 250mg / 30g gummy bears;

[0050] Through the precise selection of minerals in this step, the health functionality of the gummy bears is enhanced, enabling them to ensure the intake of minerals while avoiding adverse effects on the human body due to excessive concentrations.

[0051] S2: Select natural sweeteners such as isomaltulose, maltitol syrup, xylitol, erythritol, and sorbitol, etc. These sweeteners do not significantly affect blood sugar, have low calories, low glycemic index, are not prone to causing dental caries, are applicable to various foods, and can effectively mask the taste of the minerals themselves. Establish an interaction model between the sweeteners and the minerals, considering factors such as mineral solubility, the sweetness of the sweeteners, and the smoothness of the texture, construct a preliminary calculation formula for the influence of the sweeteners on mineral solubility, and adjust the type and proportion of the sweeteners;

[0052] By establishing an interaction model between the sweeteners and the minerals, considering the balance between the sweetness, smoothness of the sweeteners and the solubility of the minerals, and using natural sweeteners such as isomaltulose, maltitol syrup, xylitol, erythritol, and sorbitol, etc., the original taste of the minerals can be effectively masked, and at the same time, the blood sugar level will not be significantly affected. The beneficial effect of this step is to optimize the taste experience of the gummy bears while ensuring mineral solubility, thereby improving the absorption effect of the minerals.

[0053] The preliminary calculation formula for the influence of the sweeteners on mineral solubility is as follows:

[0054]

[0055] Among them, D sweet(x, t) represents the influence of a sweetener on the solubility of minerals, which is affected by the sweetener concentration x and time t. x represents the sweetener concentration, t is the time variable, α1 is the influence coefficient of the sweetener concentration on the solubility of minerals, controlling the change rate of the solubility of minerals when the sweetener concentration increases, β1 represents the amplitude coefficient of the influence of the sweetener type on the solubility of minerals, used to adjust the influence intensity of this sweetener type, and γ1 is the coefficient of the influence of time on the solubility of minerals, controlling the influence intensity of the square of time on the solubility of minerals;

[0056] The construction of the preliminary calculation formula for the influence of sweeteners on the solubility of minerals effectively measures the relationship between mineral concentration, sweetener concentration, and solubility, thereby optimizing the absorption effect of minerals. This formula can not only increase the solubility of minerals but also effectively avoid the negative impact of sweeteners on mineral absorption, thus ensuring that the minerals ingested by consumers are more easily absorbed by the body.

[0057] Set the minimum threshold of the sweetener solubility as D in the output result of the preliminary calculation formula for the influence of sweeteners on the solubility of minerals sweet，th ;

[0058] If D sweet (x, t) ≥ D sweet，th , it indicates that the interaction between the sweetener and the mineral promotes the dissolution of the mineral at the current concentration, and there is no need to adjust the sweetener concentration;

[0059] If D sweet (x, t) < D sweet，th , it means that the promotion effect of the interaction between the sweetener and the mineral on the mineral is not obvious at the current concentration, and the sweetener concentration needs to be adjusted.

[0060] Construct a correction model formula for the interaction between mineral solubility and sweeteners based on the output result of the preliminary calculation formula for the influence of sweeteners on the solubility of minerals. The correction model formula is as follows:

[0061]

[0062] Among them, D mineral (x, t) is the solubility of minerals, which is affected by both the sweetener concentration x and time t. A1, B1, and C1 represent the parameter coefficients related to mineral solubility and sweetener concentration, representing the relationship coefficients between mineral solubility and sweetener concentration respectively. ω1 represents the frequency coefficient related to the periodic relationship of time, controlling the fluctuation of mineral solubility over time, and δ1 represents the coefficient of time correction for mineral solubility;

[0063] By interacting and coordinating the modified model formula with the preliminary calculation formula for the influence of sweeteners on mineral solubility, the mineral ratio is dynamically adjusted according to the needs of different consumers. The introduction of this algorithm enables the product to not only meet general requirements but also be precisely adjusted to adapt to the personalized health needs of different populations.

[0064] Construct the final solubility threshold D in the output result of the modified model formula for the interaction between mineral solubility and sweeteners mineral,th ;

[0065] If D mineral (x,t) ≥ D mineral,th , it indicates that the solubility of the mineral is high enough under the current conditions, and it enters the personalized formula optimization stage;

[0066] If D mineral (x,t) < D mineral,th , it indicates that the solubility of the mineral is insufficient under the current conditions, and it is necessary to further adjust the sweetener concentration or the mineral ratio to ensure the full dissolution of the mineral.

[0067] S3: Collect consumer data, establish a personalized mineral formula optimization algorithm formula, and optimize the mineral ratio;

[0068] S31: Collect consumer data, specifically including the age, gender, weight, and health status of consumers, which are used to dynamically adjust the mineral concentration and the ratio of gummies;

[0069] S32: Use the algorithm to adjust the concentrations of calcium and magnesium according to the personal characteristics of consumers. For example, young people or athletes may need a higher magnesium content to help muscle recovery, while the elderly may need a higher calcium content to promote bone health;

[0070] S33: Adjust the concentrations of calcium and magnesium according to the algorithm output to meet the individual needs of consumers;

[0071] Adjusting the mineral content according to the health needs of different consumers meets the personalized needs of different populations. This personalized adjustment not only improves the functionality of the gummies but also enhances the consumer experience and satisfaction.

[0072] The personalized mineral formula optimization algorithm formula is as follows:

[0073]

[0074] Among them, F personal (C ca , C Mg , x, a, b) is the personalized mineral formula optimization function, which outputs the optimal ratio result of minerals and sweeteners, and C ca is the concentration of calcium, CMg is the concentration of magnesium, x is the concentration of sweetener, μ ca The expected value of calcium concentration, which is adjusted according to the needs of consumers, μ Mg The expected value of magnesium concentration, which is adjusted according to the needs of consumers, μ sweet is the expected value of flavoring agent concentration, which is adjusted according to the needs of consumers, and σ1 are the penalty coefficients that control the deviation between the calcium and magnesium concentrations and their expected values respectively, ζ1 is the adjustment coefficient for the deviation of sweetener concentration, D mineral (x) is the correction term for mineral solubility calculated based on the sweetener concentration x.

[0075] After optimizing the formula, the mineral content and solubility of the gummy candies have been finely regulated, which can not only ensure the maximum effective absorption of minerals, but also avoid the taste problems caused by excessive minerals. At the same time, the formula optimization also helps to improve the stability of the gummy candy production process, reduce the risk of mineral content fluctuations during production, and ensure the consistency of the quality of each batch of products.

[0076] Set the final threshold as F in the output result of the personalized mineral formula optimization algorithm formula personal，th ;

[0077] If F personal (C ca ,C Mg ,x,a,b)≥F personal，th , it means that the optimization of the current mineral ratio and sweetener concentration is completed and meets the personalized needs of consumers;

[0078] If F personal (C ca ,C Mg ,x,a,b)<F personal，th , it is necessary to further adjust the mineral concentration or sweetener concentration until the personalized needs are met.

[0079] S4: Based on the optimization results, adjust the production process conditions to ensure the quality and stability of the gummy candies;

[0080] S41: Adjust the temperature and humidity of the production process according to the optimization algorithm results to ensure the stability of minerals and the consistency of taste;

[0081] S42: Produce gummy candies with high magnesium and calcium content according to the optimized sweetener and mineral formula, and adopt a double colloid system or microcapsule encapsulation technology to further improve the stability and bioavailability of minerals;

[0082] S43: Regularly detect the calcium, magnesium concentrations and the content of sweetener in the gummy candies to ensure that they meet the standards;

[0083] Based on the optimized mineral and sweetener formulations, the production process conditions are adjusted to ensure the quality of the gummies and the stability of the minerals. In particular, the use of a dual colloid system or microencapsulation technology not only enhances the stability of the minerals but also increases their bioavailability.

[0084] During use, by introducing a model of the interaction between natural sweeteners and minerals, the type and proportion of sweeteners can be accurately adjusted, and the formulation can be optimized in combination with consumer personalized data. While ensuring the effectiveness and stability of the minerals, it can improve the taste of the product and the absorption effect of consumers. Such gummies not only have higher health value but also can provide personalized mineral ratios according to the needs of different consumers, meeting the market's demand for functional, personalized, and healthy foods.

[0085] Example Two

[0086] Referring to Tables 1 - 3, this is the second embodiment of the present invention. What is different from the first embodiment is that in order to verify its beneficial effects, experimental comparison data between the present invention and the prior art are provided.

[0087] In this embodiment, calcium citrate and calcium magnesium citrate are selected as mineral raw materials. In the experiment, the calcium content in every 30 grams of gummies is set at 500 mg, and the magnesium content is 250 mg. Erythritol and isomaltulose are selected as natural sweeteners. Erythritol is added at a ratio of 70%, and isomaltulose is at a ratio of 30%, so as to ensure that the sweeteners can effectively mask the natural taste of the minerals and have a positive effect on the solubility of the minerals.

[0088] By collecting data from 1000 consumers, including information such as age, gender, weight, and health status, the ratio of calcium and magnesium is adjusted using a personalized mineral formulation optimization algorithm. According to the output of the algorithm, the magnesium content for young consumers and the athlete group is increased to 300 mg / 30 g of gummies, while the calcium content for elderly consumers is moderately increased to 600 mg / 30 g of gummies.

[0089] The production process conditions (such as temperature, humidity, and time) are adjusted according to the results of the optimization algorithm. It is found through experiments that with the support of microencapsulation technology, the stability and bioavailability of the minerals are significantly improved. During the gummy production process, by controlling the temperature not to exceed 55°C, the degradation and loss of minerals are avoided.

[0090] Table 1: Comparison Table of Mineral Content and Sweetener Ratio

[0091]

[0092]

[0093] Table 2: Comparison Table of Optimization Results of Personalized Mineral Formulas

[0094]

[0095] Table 3: Comparison Table of Production Process Adjustment Results

[0096]

[0097] Through the data analysis of the above three tables, it can be clearly seen that the solution of the present invention has significant advantages over the prior art in many aspects, which will be specifically analyzed from the following three aspects;

[0098] Table 1 shows the differences in the mineral content and sweetener ratio of the two formulas. In the prior art (Formula A), the calcium content is 400 mg / 30 g and the magnesium content is 200 mg / 30 g. While in the solution of the present invention (Formula B), by selecting natural sweeteners and optimizing the sweetener ratio, the calcium content is increased to 500 mg / 30 g, the magnesium content is increased to 250 mg / 30 g, and the solubility is increased to 2.0 g / 100 ml. This improvement shows that the present invention not only increases the intake of minerals, but also effectively enhances the solubility of minerals, thus improving the health benefits of gummy candies;

[0099] Table 2 shows the optimization results of the personalized mineral formula. According to the different ages, genders and health statuses of consumers, the present invention adjusts the ratio of calcium and magnesium through an optimization algorithm. For example, for teenagers, the magnesium content is increased to 300 mg / 30 g, while for elderly women, the calcium content is increased to 650 mg / 30 g to meet their specific health needs. In contrast, the prior art only provides a fixed mineral ratio and fails to consider individual needs, thus unable to meet the health needs of different consumers;

[0100] Table 3 shows that Formula B (the present invention) improves the stability and bioavailability of gummy candies by adjusting the temperature and humidity during the production process and adopting the microcapsule coating technology. Compared with the prior art, the stability and bioavailability of the finished product have been significantly improved, which indicates that the present invention improves the quality of gummy candies and the health benefits of consumers through process optimization.

[0101] Through the data analysis in the examples, it can be seen that the present invention significantly improves the mineral stability, bioavailability and health benefits of gummy candies through innovative mineral ratios, personalized optimization algorithms and refined production process optimization. At the same time, the introduction of the personalized mineral formula provides a more accurate health solution for consumers, reflecting the advantages of the present invention in terms of innovation and practicality.

[0102] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered by the scope of the claims of the present invention.

Claims

1. A method for producing high-content magnesium and calcium soft candy, characterized in that: The following steps are involved: S1: Select minerals such as magnesium and calcium and determine their preliminary content; S2: Select natural sweeteners, establish a model of the interaction between sweeteners and minerals, construct a preliminary calculation formula for the effect of sweeteners on the solubility of minerals, and adjust the type and proportion of sweeteners; S3: Collect consumer data, establish a personalized mineral formula optimization algorithm formula, and optimize the mineral ratio; S4: Based on the optimization results, adjust the production process conditions to ensure the quality of the soft candy and the stability of minerals.

2. The method for producing high-content magnesium and calcium soft candy according to claim 1, characterized in that: The preliminary calculation formula for the effect of the sweetener on the solubility of minerals is as follows: Among them, D sweet (x, t) represents the effect of sweeteners on mineral solubility, which is affected by sweetener concentration x and time t, where x represents sweetener concentration, t is the time variable, α1 is the coefficient of influence of sweetener concentration on mineral solubility, β1 represents the amplitude coefficient of the influence of sweetener type on mineral solubility, and γ1 is the coefficient of influence of time on mineral solubility.

3. The method for producing high-content magnesium and calcium soft candy according to claim 2, characterized in that: In the output of the preliminary calculation formula for the effect of sweeteners on mineral solubility, the minimum threshold of sweetener solubility is set to D. sweet，th ; If D sweet (x,t)≥D sweet,th , it means that the interaction between sweetener and mineral promotes the dissolution of mineral at the current concentration, and there is no need to adjust the sweetener concentration; If D sweet (x,t)<D sweet，th , indicating that the interaction between sweeteners and minerals does not significantly promote the minerals at the current concentration, and the sweetener concentration needs to be adjusted.

4. The method for producing high-content magnesium and calcium soft candy according to claim 2, characterized in that: According to the output results of the preliminary calculation formula of the effect of sweeteners on mineral solubility, a revised model formula of the interaction between mineral solubility and sweeteners is constructed, and the revised model formula is as follows: Among them, D mineral (x, t) is the mineral solubility, which is affected by both the sweetener concentration x and time t. A1, B1 and C1 represent the parameter coefficients related to the mineral solubility and the sweetener concentration, respectively representing the relationship coefficients between the mineral solubility and the sweetener concentration. ω1 represents the frequency coefficient related to the periodic relationship with time, which controls the fluctuation of the mineral solubility over time. δ1 represents the coefficient of time correction for the mineral solubility.

5. The method for producing high-content magnesium and calcium soft candy according to claim 4, characterized in that: The final solubility threshold D is constructed from the output of the modified model formula for the interaction between mineral solubility and sweeteners. mineral,th ; If D mineral (x,t)≥D mineral,th , indicating that the solubility of minerals is high enough under current conditions, and the personalized formula optimization stage has begun; If D mineral (x,t)<D mineral,th , indicating that the mineral solubility is insufficient under the current conditions and further adjustment of the sweetener concentration or mineral ratio is required to ensure that the mineral is fully dissolved.

6. The method for producing high-content magnesium and calcium soft candy according to claim 1, characterized in that: The personalized mineral formula optimization algorithm formula is as follows: Among them, F personal (C ca ,C Mg ,x,a,b) is a personalized mineral formula optimization function, which outputs the optimal ratio of minerals and sweeteners, C ca is the concentration of calcium, C Mg is the concentration of magnesium, x is the concentration of sweetener, μ ca The expected value of calcium concentration is adjusted according to the needs of consumers, μ Mg The expected value of magnesium concentration is adjusted according to the needs of consumers, μ sweet The expected value of the flavoring concentration is adjusted according to the needs of consumers. and σ1, respectively, control the penalty coefficients for the deviations between calcium and magnesium concentrations and the expected values, D1 is the adjustment coefficient for the deviation of sweetener concentration, and D mineral (x) Mineral solubility correction term calculated based on sweetener concentration x.

7. The method for producing high-content magnesium and calcium soft candy according to claim 6, characterized in that: The final threshold is set to F in the output of the personalized mineral formula optimization algorithm formula. personal，th ; If F personal (C ca ,C Mg ,x,a,b)≥F personal，th , indicating that the current mineral ratio and sweetener concentration have been optimized to meet the personalized needs of consumers; If F personal (C ca ,C Mg ,x,a,b)<F personal，th , the mineral concentration or sweetener concentration needs to be further adjusted until personalized needs are met.

8. The method for producing high-content magnesium and calcium soft candy according to claim 2, characterized in that: The α1 controls the rate of change of mineral solubility when the sweetener concentration increases, the β1 is used to adjust the influence intensity of the sweetener type, and the γ1 controls the influence intensity of the square of time on mineral solubility.

9. The method for producing high-content magnesium and calcium soft candy according to claim 1, characterized in that: The S3 specifically includes the following steps: S31: Collect consumer data, including the consumer’s age, gender, weight and health status; S32: Use algorithms to adjust calcium and magnesium concentrations based on the consumer’s personal characteristics; S33: Based on the algorithm output, adjust the concentrations of calcium and magnesium to meet the individual needs of consumers.

10. The method for producing high-content magnesium and calcium soft candy according to claim 1, characterized in that: The S4 includes the following steps: S41: Adjusting the temperature and humidity of the production process according to the optimization algorithm result; S42: Produce high-content magnesium and calcium gummies according to the optimized sweetener and mineral formula; S43: Regularly test the calcium and magnesium concentrations and sweetener content in gummies to ensure they meet standards.

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