A method for detecting and analyzing health products

Abstract

The present invention relates to the field of detection, and in particular to a method for detecting and analyzing health care products, which can detect the change in the content of corresponding influencing components in human blood over time after various health care products are taken, thereby obtaining a content-time curve of the influencing components in each health care product; further, the position of the content-time curve of each influencing component can be determined according to the time arrangement of the user for taking the health care products, and whether a conflicting section exists in each content-time curve can be identified to determine whether an efficacy conflict of the health care products will be caused; and, in the case of an efficacy conflict of the health care products, the relative position of each content-time curve can be readjusted to avoid the conflicting section, and the user can take the health care products according to the taking time corresponding to the adjusted content-time curve, which can effectively prevent the efficacy conflict between the taken health care products, thereby ensuring the effect of each health care product.

Description

Technical Field

[0001] The present invention relates to the detection field, and in particular to a health product detection and analysis method. Background Art

[0002] Health products are foods that have specific health functions or are intended to supplement nutrients such as vitamins and minerals; In order to maintain good health, many users tend to take a variety of health care products; however, users often do not know that the ingredients of different health care products may have conflicting effects, and they arbitrarily arrange the time of taking health care products, causing the ingredients that may cause conflicting effects to mix in the body, which in turn affects the effects of the health care products and makes it difficult for users to achieve the expected health care results. Summary of the invention

[0003] Based on this, it is necessary to provide a health product detection and analysis method to address the above-mentioned problems.

[0004] The embodiment of the present invention is implemented by providing a method for detecting and analyzing health products, the method comprising: S1: Obtain all conflict sets, wherein each conflict set includes at least two influencing components of efficacy conflict; S2: For each health product, the health product is tested by liquid chromatography-tandem mass spectrometry to determine whether the health product contains the influencing ingredient; S3: For each health product containing an influencing component, blood component testing is performed in clinical experiments to determine the content-time curve of the corresponding influencing component in the blood after the health product is taken; S4: when receiving multiple health products input by any user, performing component comparison on the received health products to determine whether there is a conflicting health product group, wherein at least one influencing component of each health product in the conflicting health product group belongs to the same conflicting set as the influencing components of other health products in the group; S5: If there is a conflicting health product group, inquire the user about the time to take each health product in the conflicting health product group; S6: generating a first coordinate system, retrieving the content-time curves of the influencing components belonging to the same conflict set, and placing each content-time curve in the first coordinate system according to the corresponding administration time; S7: Determine whether there is a conflicting section on each content-time curve. If not, send a confirmation message to the user so that the user can take the health care product according to the taking time, wherein the content corresponding to all points on the conflicting section on a content-time curve exceeds the preset content and intersects with the corresponding sections on other content-time curves in the same coordinate system whose content exceeds the preset content; S8: If yes, adjust the position of each content-time curve in the first coordinate system so that each content-time curve does not have a conflicting section; S9: updating the taking time of the corresponding health product according to the adjusted position of each content-time curve, and sending the updated taking time to the user.

[0005] Preferably, the testing of the health product by liquid chromatography-tandem mass spectrometry comprises: Weigh 1 g of the sample of the health product into a 50 mL centrifuge tube, add 100 μL of isotope internal standard working solution, add 40 mL of 50% methanol solution, place the centrifuge tube in an ultrasonic extractor for ultrasonic treatment for 30 minutes, cool to room temperature, dilute with 50% methanol solution to the maximum scale of the centrifuge tube and shake well; place the centrifuge tube in a centrifuge and centrifuge at 4000 r / min for 5 minutes, take the supernatant and filter it with a microporous filter membrane, fix the volume, and obtain the test solution; The liquid to be tested is detected by liquid chromatography-tandem mass spectrometry to obtain the concentration of the influencing components in the liquid to be tested.

[0006] Preferably, the liquid chromatography-tandem mass spectrometer is connected to a computer device; after the liquid chromatography-tandem mass spectrometer completes the detection of the concentration of the influencing component of the test liquid, the detection result is transmitted to the computer device, wherein if the concentration of the influencing component is 0, the health product does not contain the influencing component, otherwise, the health product contains the influencing component; The computer equipment calculates the content of any influencing ingredient using the following formula: Wherein, X is the content of the influencing component, is the concentration of the influencing component in the test solution, m is the sampling mass, and V is the fixed volume of the sample test solution.

[0007] Preferably, blood component testing is performed in clinical experiments to determine the content-time curve of the corresponding influencing components in the blood after the health product is taken, including: After the subject takes the health product, blood samples of the subject are collected at first set time intervals, and each collection time is recorded; Liquid chromatography-tandem mass spectrometry was used to detect the content of the affected components in each blood sample collected; Generate a second coordinate system with the horizontal axis being the time and the vertical axis being the content; The content of each detected influencing component is used as the horizontal coordinate, and the corresponding collection time is used as the vertical coordinate to obtain the coordinate point corresponding to each collection; Mark each coordinate point on the second coordinate system, and connect each coordinate point into a line to obtain the content-time curve of the influencing component in the health product in the blood.

[0008] Preferably, after receiving all the health products input by the user, various received health products are integrated into a health product set; and components of various received health products are compared to determine whether there are conflicts. The health product set includes: S41: Select a health product from the health product set as a comparison health product; S42: Determine the conflict set to which the influencing ingredients in the compared health products belong; S43: determining other influencing components in the conflict set as target components; S44: Identify whether the influencing components of other health products in the health product set include the target component; S45: If yes, the health products including the target ingredient and the comparison health products are integrated into a conflicting health product group, the comparison health products are removed from the health product set, another health product is selected from the health product set as the comparison health product, and steps S42 to S45 are executed until all conflicting health product groups are determined; S46: If not, remove the comparison health product from the health product set, select another health product from the health product set as the comparison health product, and execute steps S42 to S46 until all conflicting health product groups are determined.

[0009] Preferably, generating a first coordinate system, retrieving the content-time curves of the influencing components belonging to the same conflict set, and placing each content-time curve in the first coordinate system according to the corresponding administration time includes: generating a first coordinate system for each conflicting health product group; For each conflicting health product group, a corresponding conflicting set is identified, and a content-time curve corresponding to each influencing component in the conflicting set is retrieved in a corresponding first coordinate system; For each retrieved content-time curve, the health product to which the corresponding influencing component belongs is identified, the time of taking the health product is determined, and the starting point of the content-time curve is aligned with the taking time.

[0010] Preferably, adjusting the position of each content-time curve in the first coordinate system comprises: S81: Determine the earliest taking time from the taking times input by the user; S82: Inquiring the user about the priority of each health product, and determining the first sequence of the health products according to the priority order, wherein the higher the priority of the health product, the higher it is ranked in the first sequence; S83: For each first coordinate system, identifying the order of the health products in the first sequence corresponding to the content-time curve in the first coordinate system; S84: Arranging the content-time curves of the first coordinate system according to the order of identification, wherein the starting point of the first content-time curve is aligned with the earliest administration time, and the sections exceeding the preset content on any two adjacent content-time curves have no intersection; S85: identifying the starting time of each content-time curve; S86: For each health product, determine whether the health product has a corresponding content-time curve in multiple first coordinate systems. If so, further adjust the content-time curves of the health product in each first coordinate system so that the starting moments of the content-time curves corresponding to the health product in different first coordinate systems overlap. If not, do not make any adjustment.

[0011] Preferably, the content-time curve is a convex curve having an ascending section and a descending section; arranging the content-time curves of the first coordinate system in the order of identification includes: S841: aligning the starting point of the content-time curve that is ranked first in the first coordinate system with the earliest administration time, and using the content-time curve as a basic curve; S842: Identify a first critical point on the descending section of the basic curve, wherein the contents corresponding to the points after the first critical point are all less than a preset content; S843: taking the next content-time curve in the first coordinate system as the subsequent curve; S844: Identifying a second critical point on the rising section of the continuous curve, wherein the contents corresponding to the points before the second critical point are all less than the preset content; S845: moving the continuous curve to a position where the second critical point coincides with the first critical point of the basic curve, thereby completing the arrangement of the continuous curve; S846: Using the continuous curve as the basic curve, executing steps S842 to S846 until all content-time curves of the first coordinate system are arranged.

[0012] Preferably, further adjusting the content-time curves of the health care product in each first coordinate system so that the starting times corresponding to the content-time curves of the health care product in different first coordinate systems overlap comprises: Determine the latest starting time from the starting times of each content-time curve corresponding to the health product; For each content-time curve corresponding to the health product, the content-time curve is moved on the corresponding first coordinate system so that the starting time of the content-time curve coincides with the latest starting time, and the content-time curve following the content-time curve is moved synchronously.

[0013] Preferably, when S86 is completed, each health product corresponds to a starting time; and after S86, the method further includes: S87: Generate a time axis, and mark the time point corresponding to the start time of each health product on the time axis; S88: determining a target time period on the time axis, wherein the duration of the target time period is the second set duration, and the target time period can cover the most time points; S89: determining the latest time point in the target time period, moving all other time points in the target time period to the latest time point, so that the user can take the corresponding health care products at the latest time point to reduce the number of times of taking; S810: Remove the target time period and the time points covered therein, and execute steps S88 to S810 until all the time points on the time axis are removed.

[0014] The present invention provides a health product detection and analysis method, including obtaining all conflicting sets; for each health product, detecting the health product by liquid chromatography-tandem mass spectrometry to determine whether the health product contains an influencing component; for each health product containing an influencing component, performing blood component detection in a clinical experiment to determine the content-time curve of the corresponding influencing component in the blood after the health product is taken; when receiving multiple health products input by any user, performing component comparison on the received health products to determine whether there is a conflicting health product group; if there is a conflicting health product group, inquiring the user about the taking time of each health product in the conflicting health product group; generating a first coordinate system, retrieving the content-time curve of each influencing component belonging to the same conflicting set, and placing each content-time curve in the first coordinate system according to the corresponding taking time; judging whether each content-time curve has a conflicting section, if not, sending a confirmation message to the user, so that the user takes the health product according to the taking time; if so, retrieving in the first coordinate system The position of each content-time curve is adjusted so that there is no conflicting section in each content-time curve; the taking time of the corresponding health care product is updated according to the position of each adjusted content-time curve, and the updated taking time is sent to the user; in the present application, the change of the content of the corresponding influencing component in the human blood over time after various health care products are taken can be detected, so as to obtain the content-time curve of the influencing component in each health care product; further, the position of the content-time curve of each influencing component can be determined according to the user's schedule for taking health care products, and whether there is a conflicting section in each content-time curve can be determined to determine whether it will cause a conflict in the efficacy of the health care products; and, in the case of a conflict in the efficacy of the health care products, the relative position of each content-time curve can be readjusted to avoid the conflicting section, and the user takes the health care products according to the taking time corresponding to the adjusted content-time curve, which can effectively prevent the efficacy conflict between the health care products taken, thereby ensuring the effect of each health care product. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A flowchart of a health product detection and analysis method provided in one embodiment; Figure 2 A diagram of an application environment of a health product detection and analysis method provided in an embodiment; Figure 3 A schematic diagram of the content-time curve arrangement of a health product detection and analysis method provided in one embodiment; Figure 4 A schematic diagram of the movement of time points of a health product detection and analysis method provided in one embodiment; DETAILED DESCRIPTION In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] It is understood that the terms "first", "second", etc. used in the present invention may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script without departing from the scope of the present invention.

[0017] like Figure 1 As shown, in one embodiment, a method for detecting and analyzing health products is proposed, the method comprising: S1: Obtain all conflict sets, wherein each conflict set includes at least two influencing components of efficacy conflict; S2: For each health product, the health product is tested by liquid chromatography-tandem mass spectrometry to determine whether the health product contains the influencing ingredient; S3: For each health product containing an influencing component, blood component testing is performed in clinical experiments to determine the content-time curve of the corresponding influencing component in the blood after the health product is taken; S4: when receiving multiple health products input by any user, performing component comparison on the received health products to determine whether there is a conflicting health product group, wherein at least one influencing component of each health product in the conflicting health product group belongs to the same conflicting set as the influencing components of other health products in the group; S5: If there is a conflicting health product group, inquire the user about the time to take each health product in the conflicting health product group; S6: generating a first coordinate system, retrieving the content-time curves of the influencing components belonging to the same conflict set, and placing each content-time curve in the first coordinate system according to the corresponding administration time; S7: Determine whether there is a conflicting section on each content-time curve. If not, send a confirmation message to the user so that the user can take the health care product according to the taking time, wherein the content corresponding to all points on the conflicting section on a content-time curve exceeds the preset content and intersects with the corresponding sections on other content-time curves in the same coordinate system whose content exceeds the preset content; S8: If yes, adjust the position of each content-time curve in the first coordinate system so that each content-time curve does not have a conflicting section; S9: updating the taking time of the corresponding health product according to the adjusted position of each content-time curve, and sending the updated taking time to the user.

[0018] In this embodiment, step S2 is performed by staff, step S1 is performed by computer equipment, step S3 'for each health product containing an influencing component, blood component testing is performed in a clinical experiment' is performed by staff, and step S3 'determine the content-time curve of the corresponding influencing component in the blood after the health product is taken' is performed by computer equipment; steps S4 to S9 are performed by computer equipment, and the computer equipment can be an independent physical server or terminal, or a server cluster composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud servers, cloud databases, cloud storage and CDN.

[0019] In this embodiment, the conflict set is a set consisting of components with conflicting effects. For example, vitamin C has a strong reducing property, which will destroy the structure of vitamin B12 and make vitamin B12 unable to exert its effect. Therefore, vitamin C and vitamin B12 can form a conflict set, and vitamin C and vitamin B12 are both influencing components included in the conflict set. In this embodiment, the liquid chromatography-tandem mass spectrometer is connected to the computer device, and its detection data can be directly transmitted to the computer device for processing; the user can input health care products to the computer device through his user terminal, or directly input health care products to the computer device through the input device of the computer device (such as a keyboard); the user inputs the names of all the health care products he is taking, and the computer device can determine the health care products used by the user according to the names; In this embodiment, the preset content can be 5%, 10% or other content. If there is a conflicting section, it means that in the time period corresponding to the conflicting section, the components with conflicting efficacy have a higher content in the blood, that is, actual efficacy conflict will occur; through this method, the relative position of the content-time curve on the first coordinate system can be adjusted, so as to eliminate the conflicting area. After the position of the content-time curve is adjusted, even if the taking time (the time corresponding to the starting point of the content-time curve) is adjusted, each adjusted taking time (including the corresponding health care product) is sent to the user (sent to the user's terminal or displayed on the display screen for the user to view); if there is no conflicting area, it means that the user's current health care product taking time is reasonable and will not cause efficacy conflict between health care products. At this time, the computer device replies with confirmation information, and the user can rest assured to continue taking the health care products according to the time arranged after receiving the confirmation information; In the present application, it is possible to detect the changes in the content of the corresponding influencing components in human blood over time after various health care products are taken, thereby obtaining the content-time curve of the influencing components in each health care product; further, the position of the content-time curve of each influencing component can be determined according to the user's schedule for taking the health care products, and whether a conflicting section exists in each content-time curve can be identified to determine whether a conflicting effect of the health care products will be caused; and, in the case of a conflicting effect of the health care products, the relative position of each content-time curve can be readjusted to avoid the conflicting section, and the user can take the health care products at the taking time corresponding to the adjusted content-time curve, which can effectively prevent the conflicting effects of the health care products taken, thereby ensuring the effect of each health care product.

[0020] As a preferred embodiment, the testing of the health product by liquid chromatography-tandem mass spectrometry includes: Weigh 1 g of the sample of the health product into a 50 mL centrifuge tube, add 100 μL of isotope internal standard working solution, add 40 mL of 50% methanol solution, place the centrifuge tube in an ultrasonic extractor for ultrasonic treatment for 30 minutes, cool to room temperature, dilute with 50% methanol solution to the maximum scale of the centrifuge tube and shake well; place the centrifuge tube in a centrifuge and centrifuge at 4000 r / min for 5 minutes, take the supernatant and filter it with a microporous filter membrane, fix the volume, and obtain the test solution; The liquid to be tested is detected by liquid chromatography-tandem mass spectrometry to obtain the concentration of the influencing components in the liquid to be tested.

[0021] The liquid chromatography-tandem mass spectrometer is connected to the computer device; after the liquid chromatography-tandem mass spectrometer completes the detection of the concentration of the influencing component of the test liquid, the detection result is transmitted to the computer device, wherein if the concentration of the influencing component is 0, the health product does not contain the influencing component, otherwise, the health product contains the influencing component; The computer equipment calculates the content of any influencing ingredient using the following formula: Wherein, X is the content of the influencing component, is the concentration of the influencing component in the test solution, m is the sampling mass, and V is the fixed volume of the sample test solution.

[0022] In this embodiment, the unit of C is g / mL, the unit of V is mL, and the unit of m is g; different substances are detected, and the corresponding isotope internal standard working solutions are also different. For example, if bumetanide is to be detected, the isotope internal standard working solution of bumetanide is pre-prepared, and the preparation steps are as follows: accurately weigh 10 mg of bumetanide standard (accurate to 0.00001 g), place it in a 10 mL brown volumetric flask, dissolve it with 0.1% formic acid methanol solution and dilute to the scale, prepare a standard stock solution with a concentration of 1000 μg / mL, and store it below -18°C; In this embodiment, before the liquid to be tested is measured on the machine, it is necessary to prepare a series of standard curve solutions of the influencing components, including a plurality of solutions of the influencing components with standard concentrations from small to large (such as 1g / mL, 2g / mL, 3g / mL, etc.), and the solutions are measured on the machine in order from small to large concentrations, and the standard curve is drawn with the concentration of the influencing component as the horizontal coordinate and the peak area of ​​the isotope internal standard of the influencing component as the vertical coordinate; then the liquid to be tested is measured to obtain the curve of the liquid to be tested, and the position of the curve of the liquid to be tested is compared with the standard curve, so as to quantify the concentration of the substance to be tested in the liquid to be tested; the response value of the influencing component of the sample solution should be within the linear range of the standard curve. If the content of the influencing component is higher than the linear range of the standard curve, the standard curve should be re-prepared.

[0023] The chromatographic conditions tested included: Temperature: 45℃; Injection volume: 4 μL; Mobile phase A: methanol; mobile phase B: 0.1% formic acid; Flow rate: 0.3 mL / min; Mass spectrometry conditions included: Ion source: electrospray ion source, temperature 150°C; Scanning mode: positive ion mode and negative ion mode; Collision gas: argon; Desolventization temperature: 500℃; Desolventizing gas flow rate: 1000L / h; Capillary voltage: 1.0 kV.

[0024] As a preferred embodiment, blood component testing is performed in clinical experiments to determine the content-time curve of the corresponding impact component in the blood after the health product is taken, including: After the subject takes the health product, blood samples of the subject are collected at first set time intervals, and each collection time is recorded; Liquid chromatography-tandem mass spectrometry was used to detect the content of the affected components in each blood sample collected; Generate a second coordinate system with the horizontal axis being the time and the vertical axis being the content; The content of each detected influencing component is used as the horizontal coordinate, and the corresponding collection time is used as the vertical coordinate to obtain the coordinate point corresponding to each collection; Mark each coordinate point on the second coordinate system, and connect each coordinate point into a line to obtain the content-time curve of the influencing component in the health product in the blood.

[0025] In this embodiment, the method for detecting blood samples is consistent with the method for detecting health products, which will not be described in detail here; the first set time can be 10 minutes, 20 minutes or other time; the 0 time of the second coordinate system is the time when the subject takes the health product; in order to make the test result more accurate, there can be multiple subjects; the time for each subject to collect during the interval between taking the health product is the first set time, so for each collection time (input by the staff into the computer device), each subject's blood sample can be collected for detection, and the content of the influencing component corresponding to the collection time is the average of the content measured in the blood samples of each subject, thereby obtaining a coordinate point; a health product may contain multiple influencing components, and this embodiment can determine the content-time curve of each influencing component (if any) of each health product (health products collected by the staff on the market); and then a content-time curve library can be established and stored in the computer device, and when any content-time curve is needed for later analysis, it can be retrieved from the content-time curve library.

[0026] As a preferred embodiment, after receiving all the health products input by the user, various received health products are integrated into a health product set; components of various received health products are compared to determine whether there are conflicts. The health product set includes: S41: Select a health product from the health product set as a comparison health product; S42: Determine the conflict set to which the influencing ingredients in the compared health products belong; S43: determining other influencing components in the conflict set as target components; S44: Identify whether the influencing components of other health products in the health product set include the target component; S45: If yes, the health products including the target ingredient and the comparison health products are integrated into a conflicting health product group, the comparison health products are removed from the health product set, another health product is selected from the health product set as the comparison health product, and steps S42 to S45 are executed until all conflicting health product groups are determined; S46: If not, remove the comparison health product from the health product set, select another health product from the health product set as the comparison health product, and execute steps S42 to S46 until all conflicting health product groups are determined.

[0027] In this embodiment, each health product may involve multiple influencing components, and each influencing component may involve multiple conflict sets. In this case, for each conflict set, it can be determined whether there is a corresponding conflicting health product group according to the method of this embodiment (after determining whether all conflict sets involved in a health product have corresponding conflicting health products, the health product is removed from the health product set). Ultimately, for each health product, multiple conflicting health product groups containing this health product may be obtained.

[0028] As a preferred embodiment, retrieving the content-time curves of the influencing components belonging to the same conflict set and placing each content-time curve in the first coordinate system according to the corresponding administration time includes: generating a first coordinate system for each conflicting health product group; For each conflicting health product group, a corresponding conflicting set is identified, and a content-time curve corresponding to each influencing component in the conflicting set is retrieved in a corresponding first coordinate system; For each retrieved content-time curve, the health product to which the corresponding influencing component belongs is identified in the conflicting health product group, the time of taking the health product is determined, and the starting point of the content-time curve is aligned with the taking time.

[0029] In this embodiment, the horizontal axis of the first coordinate system is the time of the day (can be from zero o'clock to zero o'clock of the day), and the vertical axis is the content; the starting point of the content-time curve is aligned with the taking time, that is, the time corresponding to the position of the horizontal coordinate of the starting point on the horizontal axis is the taking time; in this embodiment, by placing each content-time curve according to the taking time planned by the user, it can be intuitively reflected whether the user's taking time arrangement will lead to conflicts in the efficacy of health products.

[0030] As a preferred embodiment, adjusting the position of each content-time curve in the first coordinate system includes: S81: Determine the earliest taking time from the taking times input by the user; S82: Inquiring the user about the priority of each health product, and determining the first sequence of the health products according to the priority order, wherein the higher the priority of the health product, the higher it is ranked in the first sequence; S83: For each first coordinate system, identifying the order of the health products in the first sequence corresponding to the content-time curve in the first coordinate system; S84: Arranging the content-time curves of the first coordinate system according to the order of identification, wherein the starting point of the first content-time curve is aligned with the earliest administration time, and the sections exceeding the preset content on any two adjacent content-time curves have no intersection; S85: identifying the starting time of each content-time curve; S86: For each health product, determine whether the health product has a corresponding content-time curve in multiple first coordinate systems. If so, further adjust the content-time curves of the health product in each first coordinate system so that the starting moments of the content-time curves corresponding to the health product in different first coordinate systems overlap. If not, do not make any adjustment.

[0031] The content-time curve is a convex curve with an ascending section and a descending section; the content-time curves of the first coordinate system are arranged in the order of recognition, including: S841: aligning the starting point of the content-time curve that is ranked first in the first coordinate system with the earliest administration time, and using the content-time curve as a basic curve; S842: Identify a first critical point on the descending section of the basic curve, wherein the contents corresponding to the points after the first critical point are all less than a preset content; S843: taking the next content-time curve in the first coordinate system as the subsequent curve; S844: Identifying a second critical point on the rising section of the continuous curve, wherein the contents corresponding to the points before the second critical point are all less than the preset content; S845: moving the continuous curve to a position where the second critical point coincides with the first critical point of the basic curve, thereby completing the arrangement of the continuous curve; S846: Using the continuous curve as the basic curve, executing steps S842 to S846 until all content-time curves of the first coordinate system are arranged.

[0032] Further adjusting the content-time curves of the health care product in each first coordinate system so that the starting time of the content-time curves of the health care product in different first coordinate systems overlaps includes: Determine the latest starting time from the starting times of each content-time curve corresponding to the health product; For each content-time curve corresponding to the health product, the content-time curve is moved on the corresponding first coordinate system so that the starting time of the content-time curve coincides with the latest starting time, and the content-time curve following the content-time curve is moved synchronously.

[0033] In this embodiment, the priority is the importance of various health products. The higher the priority, the higher the importance. After taking the health products, as the health products are absorbed, the influence content in the blood will increase. After the absorption is completed, as the influence elements are used, their content in the blood will decrease, so the content-time curve presents a convex shape. If the moment corresponding to the second critical point is not before the moment corresponding to the first critical point, it can be ensured that the section of the basic curve exceeding the preset content and the section of the continuous curve exceeding the preset content do not overlap, that is, no efficacy conflict will occur. In this embodiment, the first critical point is overlapped with the second critical point first, which saves the interval time, so that there is sufficient adjustment time for subsequent adjustments. In this embodiment, it can be seen from the above that a health product may correspond to content-time curves in multiple first coordinate systems, and there are corresponding multiple starting times (i.e., the time of taking the health product), and the user can ultimately take the health product only at one starting time. If the starting time at the front is taken, it means that the content-time curve at the back needs to be moved forward. Since the previous curve cannot be adjusted, a conflicting section will be formed. Therefore, this embodiment selects the latest starting time as the time of taking the health product, and moves the starting points of other curves back to this time accordingly (the subsequent curves are moved back synchronously accordingly), so as to avoid the generation of conflicting sections.

[0034] As a preferred embodiment, when S86 is completed, each health product corresponds to a starting time; after S86, the following steps are further included: S87: Generate a time axis, and mark the time point corresponding to the start time of each health product on the time axis; S88: determining a target time period on the time axis, wherein the duration of the target time period is the second set duration, and the target time period can cover the most time points; S89: determining the latest time point in the target time period, moving all other time points in the target time period to the latest time point, so that the user can take the corresponding health care products at the latest time point to reduce the number of times of taking; S810: Remove the target time period and the time points covered therein, and execute steps S88 to S810 until all the time points on the time axis are removed.

[0035] In this embodiment, the second set time length can be a shorter time length such as 10 minutes or 20 minutes; through this embodiment, multiple time points can be unified into one time point, that is, the user can take multiple health care products at one time, which greatly improves the convenience of user taking. Since the time points corresponding to each health care product are in the target time period, the corresponding taking times themselves are not much different (compared with the digestion and absorption of health care products for up to several hours), and the potential efficacy conflicts caused by this adjustment method can also be ignored; after the adjustment is completed, the time corresponding to each time point is the updated taking time of the corresponding health care product, and the updated taking time and the corresponding health care product are sent to the user, so that the user can take the health care product according to the updated taking time.

[0036] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0037] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for detecting and analyzing health products, characterized in that: The method comprises: S1: Obtain all conflict sets, wherein each conflict set includes at least two influencing components of efficacy conflict; S2: For each health product, the health product is tested by liquid chromatography-tandem mass spectrometry to determine whether the health product contains the influencing ingredient; S3: For each health product containing an influencing component, blood component testing is performed in clinical experiments to determine the content-time curve of the corresponding influencing component in the blood after the health product is taken; S4: when receiving multiple health products input by any user, performing component comparison on the received health products to determine whether there is a conflicting health product group, wherein at least one influencing component of each health product in the conflicting health product group belongs to the same conflicting set as the influencing components of other health products in the group; S5: If there is a conflicting health product group, inquire the user about the time to take each health product in the conflicting health product group; S6: generating a first coordinate system, retrieving the content-time curves of the influencing components belonging to the same conflict set, and placing each content-time curve in the first coordinate system according to the corresponding administration time; S7: Determine whether there is a conflicting section on each content-time curve. If not, send a confirmation message to the user so that the user can take the health care product according to the taking time, wherein the content corresponding to all points on the conflicting section on a content-time curve exceeds the preset content and intersects with the corresponding sections on other content-time curves in the same coordinate system whose content exceeds the preset content; S8: If yes, adjust the position of each content-time curve in the first coordinate system so that each content-time curve does not have a conflicting section; S9: updating the taking time of the corresponding health product according to the adjusted position of each content-time curve, and sending the updated taking time to the user.

2. The method according to claim 1, characterized in that The method of detecting the health product by liquid chromatography-tandem mass spectrometry comprises: Weigh 1 g of the sample of the health product into a 50 mL centrifuge tube, add 100 μL of isotope internal standard working solution, add 40 mL of 50% methanol solution, place the centrifuge tube in an ultrasonic extractor for ultrasonic treatment for 30 minutes, cool to room temperature, dilute with 50% methanol solution to the maximum scale of the centrifuge tube and shake well; place the centrifuge tube in a centrifuge and centrifuge at 4000 r / min for 5 minutes, take the supernatant and filter it with a microporous filter membrane, fix the volume, and obtain the test solution; The liquid to be tested is detected by liquid chromatography-tandem mass spectrometry to obtain the concentration of the influencing components in the liquid to be tested.

3. The method according to claim 2, characterized in that The liquid chromatography-tandem mass spectrometer is connected to the computer device; after the liquid chromatography-tandem mass spectrometer completes the detection of the concentration of the influencing component of the test liquid, the detection result is transmitted to the computer device, wherein if the concentration of the influencing component is 0, the health product does not contain the influencing component, otherwise, the health product contains the influencing component; The computer equipment calculates the content of any influencing ingredient using the following formula: Wherein, X is the content of the influencing component, is the concentration of the influencing component in the test solution, m is the sampling mass, and V is the fixed volume of the sample test solution.

4. The method according to claim 3, characterized in that Blood component testing is performed in clinical trials to determine the content-time curve of the corresponding impact components in the blood after taking the health product, including: After the subject takes the health product, blood samples of the subject are collected at first set time intervals, and each collection time is recorded; Liquid chromatography-tandem mass spectrometry was used to detect the content of the affected components in each blood sample collected; Generate a second coordinate system with the horizontal axis being the time and the vertical axis being the content; The content of each detected influencing component is used as the horizontal coordinate, and the corresponding collection time is used as the vertical coordinate to obtain the coordinate point corresponding to each collection; Mark each coordinate point on the second coordinate system, and connect each coordinate point into a line to obtain the content-time curve of the influencing component in the health product in the blood.

5. The method according to claim 4, characterized in that After receiving all the health products input by the user, various received health products are integrated into a health product set; the components of various received health products are compared to determine whether there are conflicts. The health product set includes: S41: Select a health product from the health product set as a comparison health product; S42: Determine the conflict set to which the influencing ingredients in the compared health products belong; S43: determining other influencing components in the conflict set as target components; S44: Identify whether the influencing components of other health products in the health product set include the target component; S45: If yes, the health products including the target ingredient and the comparison health products are integrated into a conflicting health product group, the comparison health products are removed from the health product set, another health product is selected from the health product set as the comparison health product, and steps S42 to S45 are executed until all conflicting health product groups are determined; S46: If not, remove the comparison health product from the health product set, select another health product from the health product set as the comparison health product, and execute steps S42 to S46 until all conflicting health product groups are determined.

6. The method according to claim 5, characterized in that Generating a first coordinate system, retrieving the content-time curves of each influencing component belonging to the same conflict set, and placing each content-time curve in the first coordinate system according to the corresponding administration time includes: generating a first coordinate system for each conflicting health product group; For each conflicting health product group, a corresponding conflicting set is identified, and a content-time curve corresponding to each influencing component in the conflicting set is retrieved in a corresponding first coordinate system; For each retrieved content-time curve, the health product to which the corresponding influencing component belongs is identified in the conflicting health product group, the time of taking the health product is determined, and the starting point of the content-time curve is aligned with the taking time.

7. The method according to claim 6, characterized in that Adjusting the position of each content-time curve in the first coordinate system includes: S81: Determine the earliest taking time from the taking times input by the user; S82: Inquiring the user about the priority of each health product, and determining the first sequence of the health products according to the order of the priorities, wherein the higher the priority of the health product, the higher it is ranked in the first sequence; S83: For each first coordinate system, identifying the order of the health products in the first sequence corresponding to the content-time curve in the first coordinate system; S84: Arranging the content-time curves of the first coordinate system according to the order of identification, wherein the starting point of the first content-time curve is aligned with the earliest administration time, and the sections exceeding the preset content on any two adjacent content-time curves have no intersection; S85: identifying the starting time of each content-time curve; S86: For each health product, determine whether the health product has a corresponding content-time curve in multiple first coordinate systems. If so, further adjust the content-time curves of the health product in each first coordinate system so that the starting moments of the content-time curves corresponding to the health product in different first coordinate systems overlap. If not, do not make any adjustment.

8. The method according to claim 7, characterized in that The content-time curve is a convex curve with an ascending section and a descending section; the content-time curves of the first coordinate system are arranged in the order of recognition, including: S841: aligning the starting point of the content-time curve that is ranked first in the first coordinate system with the earliest administration time, and using the content-time curve as a basic curve; S842: Identify a first critical point on the descending section of the basic curve, wherein the contents corresponding to the points after the first critical point are all less than a preset content; S843: taking the next content-time curve in the first coordinate system as the subsequent curve; S844: Identifying a second critical point on the rising section of the continuous curve, wherein the contents corresponding to the points before the second critical point are all less than the preset content; S845: moving the continuous curve to a position where the second critical point coincides with the first critical point of the basic curve, thereby completing the arrangement of the continuous curve; S846: Using the continuous curve as the basic curve, executing steps S842 to S846 until all content-time curves of the first coordinate system are arranged.

9. The method according to claim 8, characterized in that Further adjusting the content-time curves of the health care product in each first coordinate system so that the starting time of the content-time curves of the health care product in different first coordinate systems overlaps includes: Determine the latest starting time from the starting times of each content-time curve corresponding to the health product; For each content-time curve corresponding to the health product, the content-time curve is moved on the corresponding first coordinate system so that the starting time of the content-time curve coincides with the latest starting time, and the content-time curve following the content-time curve is moved synchronously.

10. The method according to claim 9, characterized in that When S86 is completed, each health product corresponds to a starting time; after S86, it also includes: S87: Generate a time axis, and mark the time point corresponding to the start time of each health product on the time axis; S88: determining a target time period on the time axis, wherein the duration of the target time period is the second set duration, and the target time period can cover the most time points; S89: determining the latest time point in the target time period, moving all other time points in the target time period to the latest time point, so that the user can take the corresponding health care products at the latest time point to reduce the number of times of taking; S810: Remove the target time period and the time points covered therein, and execute steps S88 to S810 until all the time points on the time axis are removed.

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