ATP fluorescence detection method and system for dairy products

Abstract

The invention relates to the technical field of chemical analysis, in particular to a dairy product-oriented ATP fluorescence detection method and system.The method comprises the steps that the ATP content of a dairy product in different storage environments is obtained at an initial detection interval, and the pH values of the dairy product in different storage environments within a first preset time period are obtained at a first detection interval; determining the initial corruption rate of the dairy product according to the initial ATP content and the initial temperature at the corresponding initial moment; determining the storage stability of the dairy product according to the pH value and the neutral value; determining the distortion degree of the linear fitting curve of the ATP content of the dairy product according to the storage stability and the initial decay rate; determining a second detection interval of the dairy product according to the distortion degree and the initial detection interval; and detecting the ATP content of the dairy product in the storage environment within a second preset time period at a second detection interval. According to the invention, the detection efficiency and flexibility of ATP fluorescence detection of dairy products and the reliability of detection results are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of chemical analysis, and in particular to an ATP fluorescence detection method and system for dairy products. Background Art

[0002] Adenosine triphosphate (ATP) is a high-energy compound in organisms and a core molecule for energy metabolism in living cells. Therefore, its content can reflect the number of microorganisms or organic matter in dairy products. ATP fluorescence detection is a rapid detection technology based on the reaction of ATP and luciferase to produce fluorescent signals. Applying ATP fluorescence detection technology to dairy products can indirectly obtain some quality indicators of dairy products, such as microbial load, hygiene level, and spoilage risk.

[0003] In general, the purpose of accurately analyzing the risk of corruption can be achieved by detecting the ATP change trend of dairy products over a period of time and predicting the ATP content of dairy products in the future. In the process of predictive analysis, due to the particularity of dairy products, the ATP content changes nonlinearly over time. In particular, in high temperature environments, the growth of the ATP content of dairy products will show an explosive increase. If the detection interval is too long, important growth nodes in high temperature environments will be ignored, resulting in insufficient data sampling, making it impossible to accurately fit the ATP growth curve. In low temperature environments, the ATP content grows slowly, and if the detection interval is too short, resources will be wasted. The existing methods often use a fixed detection interval, which is difficult to adapt to high temperature and low temperature environments. As a result, the detection efficiency, flexibility and reliability of the detection results of ATP fluorescence detection of dairy products are low. Summary of the invention

[0004] In order to solve the technical problems of low detection efficiency, flexibility and reliability of detection results of ATP fluorescence detection of dairy products, the purpose of the present invention is to provide an ATP fluorescence detection method and system for dairy products. The technical scheme adopted is as follows: The embodiment of the present invention provides an ATP fluorescence detection method for dairy products, comprising: obtaining the ATP content of dairy products under different storage environments at an initial detection interval, and obtaining the pH value of the dairy products under different storage environments within a first predetermined time period at a first detection interval; determining the initial corruption rate of the dairy products according to the initial ATP content of the dairy products under the initial storage conditions of the storage environment and the initial temperature at the corresponding initial moment; determining the storage stability of the dairy products under the storage environment within the first predetermined time period according to the pH value and the neutral value within the first predetermined time period under each storage environment; determining the distortion of a linear fitting curve of the ATP content of the dairy products under the storage environment according to the storage stability and the initial corruption rate; determining a second detection interval of the dairy products according to the distortion and the initial detection interval; and detecting the ATP content of the dairy products under the storage environment within a second predetermined time period at the second detection interval.

[0005] Optionally, after detecting the ATP content of the dairy product within a second predetermined time period under a storage environment at a second detection interval, the method further includes: predicting the ATP content of a future time period based on the ATP content within the first predetermined time period and the ATP content within the second predetermined time period to obtain the ATP content of the future time period; determining the microbial activity and spoilage risk corresponding to the ATP content of the future time period through a preset correspondence between the ATP content, microbial activity and spoilage risk.

[0006] Optionally, determining the initial spoilage rate of the dairy product based on the initial ATP content of the dairy product under the initial storage conditions of the storage environment and the initial temperature at the corresponding initial moment includes: calculating the absolute value of the first difference between the maximum allowable temperature value allowed by the storage environment and the initial temperature; determining the first product of the initial ATP content and the reciprocal of the absolute value of the first difference as the initial spoilage rate of the dairy product.

[0007] Optionally, determining the storage stability of dairy products within a first predetermined time period under a storage environment based on the pH value and the neutral value within the first predetermined time period under each storage environment includes: determining a numerical change in the pH value within the first predetermined time period based on the pH value within the first predetermined time period under each storage environment; determining a characteristic quantity for the first predetermined time period based on the difference between the pH value and the neutral value within the first predetermined time period; and normalizing a first ratio between the characteristic quantity and the numerical change quantity to obtain the storage stability of the dairy products within the first predetermined time period under the storage environment.

[0008] Optionally, determining the numerical change of the pH value within the first predetermined time period according to the pH value within the first predetermined time period under each storage environment includes: calculating the second difference between the pH values ​​at adjacent detection moments corresponding to the first detection interval within the first predetermined time period; and determining the average value of the second difference as the numerical change of the pH value within the first predetermined time period.

[0009] Optionally, determining the characteristic quantity of the first predetermined time period based on the difference between the pH value and the neutral value within the first predetermined time period includes: calculating the absolute value of the third difference between the pH value at each detection moment in the first predetermined time period and the neutral value, and calculating the reciprocal of the sum of the absolute value of the third difference and the predetermined value; determining the average value of the absolute value of the reciprocal of the third difference and the reciprocal of the sum of the predetermined values ​​as the characteristic quantity of the first predetermined time period.

[0010] Optionally, determining the distortion of a linear fitting curve of the ATP content of dairy products under a storage environment based on storage stability and initial corruption rate includes: determining a second ratio between the storage stability and the initial corruption rate as a distortion factor of the dairy product within a first predetermined time period; grouping the distortion factors within a plurality of consecutive first predetermined time periods into an iterative sequence, and determining the autocorrelation coefficient of the iterative sequence; and determining the distortion of a linear fitting curve of the ATP content of the dairy product under a storage environment based on the autocorrelation coefficient.

[0011] Optionally, determining the distortion of the linear fitting curve of the ATP content under the storage environment of the dairy product according to the autocorrelation coefficient includes: determining a fourth difference between the predetermined value and the autocorrelation coefficient as the distortion of the linear fitting curve of the ATP content under the storage environment.

[0012] Optionally, determining the second detection interval of the dairy product according to the distortion degree and the initial detection interval includes: determining a second product between the distortion degree and the initial detection interval as the second detection interval.

[0013] In a second aspect, an embodiment of the present invention discloses an ATP fluorescence detection system for dairy products, comprising: a processor and a memory; wherein the memory is used to store a computer program that can be run on the processor; and the processor is used to execute the program stored in the memory to implement the steps of the ATP fluorescence detection method for dairy products mentioned in the first aspect.

[0014] The present invention has the following beneficial effects: firstly, the ATP content of dairy products under different storage environments is obtained at an initial detection interval, and the pH value of dairy products under different storage environments within a first predetermined time period is obtained at a first detection interval; then, the initial corruption rate of dairy products is determined according to the initial ATP content of dairy products under the initial storage conditions of the storage environment and the initial temperature at the corresponding initial moment; then, the storage stability of dairy products under the storage environment within the first predetermined time period is determined according to the pH value and the neutral value within the first predetermined time period under each storage environment; secondly, the distortion of a linear fitting curve of the ATP content of dairy products under the storage environment is determined according to the storage stability and the initial corruption rate; and the second detection interval of dairy products is determined according to the distortion and the initial detection interval; finally, the ATP content of dairy products under the storage environment within the second predetermined time period is detected at the second detection interval.

[0015] In this way, the embodiment of the present invention can store dairy products under different storage environments, and obtain the ATP content of dairy products in real time for each storage environment. The distortion of the linear fitting curve of the ATP content is determined in combination with the initial corruption rate of the dairy products under the initial storage environment and the storage stability of the dairy products, and the detection interval of the dairy products is updated according to the distortion and the initial detection interval. That is, the detection interval of the ATP content of the dairy products is adjusted in real time according to the environment in which the dairy products are located. Therefore, the embodiment of the present invention can be applicable to scenarios where dairy products are in high temperature environments and low temperature environments, thereby improving the detection efficiency, flexibility and reliability of the detection results of ATP fluorescence detection of dairy products. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flow chart of a method for ATP fluorescence detection of dairy products provided by one embodiment of the present invention; Figure 2 A schematic diagram of the structure of an ATP fluorescence detection device for dairy products provided by one embodiment of the present invention; Figure 3 A schematic diagram of the structure of an ATP fluorescence detection system for dairy products provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the ATP fluorescence detection method and system for dairy products proposed by the present invention, its specific implementation, structure, characteristics and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0020] The specific scheme of the ATP fluorescence detection method for dairy products provided by the present invention is described in detail below with reference to the accompanying drawings.

[0021] Embodiment 1: See also Figure 1 , which shows a flow chart of an ATP fluorescence detection method for dairy products provided by one embodiment of the present invention, including: Step S101, obtaining the ATP content of the dairy product under different storage environments at an initial detection interval, and obtaining the pH value of the dairy product under different storage environments within a first predetermined time period at a first detection interval.

[0022] Specifically, the embodiment of the present invention aligns the experimental environment of ATP fluorescence detection, and stores dairy products under different storage environments. Among them, different storage environments include parameters such as storage temperature and storage humidity. The initial detection interval can be determined according to the actual scenario, and the value of the embodiment of the present invention is 12 hours. Different storage environments are configured, and the embodiment of the present invention configures storage temperatures of 4°C, 10°C, and 25°C respectively. During the storage stage, the ATP content of dairy products at different storage temperatures is obtained according to the initial detection interval and the data is recorded. Among them, the higher the storage temperature, the higher the possibility of corruption due to the presence of fungi, and the shorter the time, because under this condition, it is a suitable reproduction condition for fungi, and their reproduction will grow exponentially. At the initial detection interval of the initial ATP fluorescence detection, an ATP concentration sequence of each detection result is generated, and the ATP concentration sequence in the embodiment of the present invention is recorded as , where t is a natural number greater than or equal to 1, Represents the ATP content at the tth detection time.

[0023] More specifically, the first detection interval can be determined according to actual conditions, and in the embodiment of the present invention, the value is 1 / 5 hour of the initial detection interval.

[0024] Step S102, determining the initial spoilage rate of the dairy product according to the initial ATP content of the dairy product under the initial storage conditions of the storage environment and the initial temperature at the corresponding initial moment.

[0025] Specifically, the initial storage condition in the present invention refers to the storage temperature corresponding to the initial moment. The initial ATP content under the initial storage condition is recorded as , and the initial temperature at the initial moment is recorded as The higher the ATP content under initial storage conditions, the greater the number of reproduction over time, and the higher the possibility of spoilage.

[0026] More specifically, when determining the initial spoilage rate of dairy products, as an optional embodiment of the present invention, the absolute value of the first difference between the maximum allowable temperature value allowed by the storage environment and the initial temperature is first calculated; then the first product of the initial ATP content and the reciprocal of the absolute value of the first difference is determined as the initial spoilage rate of the dairy product.

[0027] Specifically, the embodiment of the present invention specifically uses the following formula to calculate the initial spoilage rate of dairy products: In the above formula, Represents the initial spoilage rate of dairy products. Represents the initial ATP content under initial storage conditions. Indicates the maximum allowable temperature value allowed for the storage environment. It represents the initial temperature at the initial moment under the initial storage conditions. By analyzing the ATP content of dairy products at the initial moment and the corresponding storage temperature, the initial spoilage rate is obtained. For the storage temperature, Quantitatively, the closer the storage temperature is to the maximum allowable temperature, the lower the value is and the higher the initial spoilage rate is. Because the higher the storage temperature, the more suitable it is for fungi to reproduce according to the above logic. The initial spoilage rate preliminarily determines the change characteristics of the subsequent ATP content curve. The higher the value, the more drastic the change of the ATP content curve in the subsequent storage process, and the faster the ATP content change cycle of dairy products occurs.

[0028] Step S103, determining the storage stability of the dairy product under the storage environment within the first predetermined time period according to the pH value and the neutral value under each storage environment within the first predetermined time period.

[0029] Specifically, the faster and more rapid the change cycle occurs, the less conducive it is to predict the spoilage risk of this type of dairy products, because the curve has less linear characteristics. In the fitting process, such nonlinear characteristics will greatly affect the accuracy of linear fitting. By reducing the detection interval, more and denser data are used to present local linear characteristics for fitting judgment. The degree of reduction of the specific detection interval needs to be determined by whether the parameters are stable during the storage process. The more stable the parameters, the higher the predictability of the corresponding ATP content change cycle law, because the environmental characteristics support the periodic change of ATP content, and the higher the linearity of the fitting process. The higher the linearity after linear fitting, or the lower the degree of distortion, the more applicable the corresponding detection interval is, that is, there is no need to increase the linearity for accurate fitting prediction by adjusting the density of the corresponding ATP content. Therefore, the parameter change results and their stability during real-time storage combined with the initial corruption rate can indirectly reflect the degree of distortion of the linear fitting results, and iteratively regulate the detection interval of ATP fluorescence detection. Among them, the neutral value refers to pH 7.

[0030] More specifically, the reason why pH value is selected as the result of analyzing storage parameter changes in the embodiment of the present invention is that ATP content is a direct product of microbial metabolism, and its content reflects the activity and quantity of microorganisms. Microbial metabolism consumes or produces acidic or alkaline substances, which leads to changes in the pH value of the storage environment. When the environmental pH value is appropriate (usually neutral or weakly acidic), microbial metabolism is accelerated and ATP generation increases; when the pH value is too low or too high (too acidic or alkaline), microbial metabolism is inhibited and the rate of ATP generation slows down. The closer to neutrality (pH value is 7), the faster the reproduction rate, that is, the lower the stability, because the larger the microbial growth, the higher the risk of spoilage of dairy products within a certain period of time. It can be seen that there is a relationship between pH value and the metabolism and reproduction of microorganisms.

[0031] More specifically, when determining the storage stability of dairy products within a first predetermined time period under a storage environment, as an optional embodiment of the present invention, first, the numerical change of the pH value within the first predetermined time period is determined based on the pH value within the first predetermined time period under each storage environment; secondly, the characteristic quantity of the first predetermined time period is determined based on the difference between the pH value within the first predetermined time period and the neutral value; finally, the first ratio between the characteristic quantity and the numerical change quantity is normalized to obtain the storage stability of the dairy products within the first predetermined time period under the storage environment.

[0032] Specifically, in the embodiment of the present invention, the pH values ​​at different detection times are combined into a pH value sequence, which is recorded as .in, Represents the pH value at the detection time t. Then, the numerical variation of the pH value at each detection time within the first predetermined time period is analyzed. As an optional embodiment of the present invention, the second difference between the pH values ​​at adjacent detection times corresponding to the first detection interval within the first predetermined time period is first calculated; then the average value of the second difference is determined as the numerical variation of the pH value within the first predetermined time period.

[0033] The embodiment of the present invention specifically uses the following formula to calculate the value change of the pH value within the first predetermined time period: In the above formula, Indicates the numerical change of the pH value in the u-th first predetermined time period. Represents the total amount of pH value within the first predetermined time period. Represents the pH value at the detection time t within the first predetermined time period. Indicates the pH value at the detection time t+1 within the first predetermined time period.

[0034] Therefore, by analyzing the difference in pH values ​​between adjacent detection moments within the first predetermined time period, the degree of change in the pH value within the first predetermined time period is obtained. The larger the value, the higher the degree of change in the value. Then the stability of the corresponding pH value is poor. That is, it is very likely to be in the growth period of microorganisms at this time. Then at this time, the specific characteristics of the pH value within the first predetermined time period are combined, that is, whether the pH value is 7. If the pH value is far from the neutral value and is acidic or alkaline, then the metabolic reproduction rate of microorganisms at this pH value is higher, and the risk of corruption of dairy products under this condition is higher. At this time, the change in ATP content within the first predetermined time period is more nonlinear, and forcing a linear fit on it will only reduce its corresponding accuracy. Therefore, it is necessary to combine the characteristic quantity of the first predetermined time period to determine the storage stability of dairy products within the first predetermined time period under the storage environment.

[0035] More specifically, as an optional embodiment of the present invention, determining the characteristic quantity of the first predetermined time period based on the difference between the pH value and the neutral value within the first predetermined time period includes: calculating the absolute value of the third difference between the pH value at each detection moment in the first predetermined time period and the neutral value, and calculating the reciprocal of the sum of the absolute value of the third difference and the predetermined value; determining the average value of the absolute value of the reciprocal of the third difference and the reciprocal of the sum of the predetermined values ​​as the characteristic quantity of the first predetermined time period.

[0036] Specifically, in the embodiment of the present invention, the predetermined value is 1, and the characteristic quantity is calculated by the following formula: In the above formula, represents the characteristic quantity of the u-th first predetermined time period. Represents the pH value at the detection time t within the first predetermined time period. Represents the total amount of pH value within the first predetermined time period.

[0037] The characteristic quantity is obtained by analyzing the difference of pH value from neutrality and taking the inverse sum of them. The larger the value, the inversely proportional the summation result. The smaller it is, the lower the characteristic amount is, which proves that the stability of the dairy product is lower.

[0038] More specifically, after obtaining the characteristic quantity and the value variation quantity through the above embodiment, the embodiment of the present invention specifically uses the following formula to calculate the storage stability of the dairy product in the first predetermined time period under the storage environment: In the above formula, represents the storage stability during the u-th first predetermined time period. Indicates the numerical change of the pH value in the u-th first predetermined time period. represents the characteristic quantity of the u-th first predetermined time period. Represents the normalization function, which is used to Perform normalization.

[0039] in, It is inversely proportional to the value change, that is, the larger the value change, the lower the storage stability, the more chaotic the pH environment is, and the more suitable it is for the growth of corresponding microorganisms. With characteristic quantity The larger the characteristic quantity is, the more central the environment is, the lower the level of microbial metabolism and reproduction is, and the higher the storage stability is.

[0040] Step S104, determining the distortion of the linear fitting curve of the ATP content of the dairy product under the storage environment according to the storage stability and the initial spoilage rate.

[0041] Specifically, the storage stability and initial spoilage rate can be combined to determine the distortion of the linear fitting curve of the ATP content of dairy products under storage conditions.

[0042] Among them, as an optional embodiment of the present invention, the second ratio between the storage stability and the initial spoilage rate is first determined as the distortion factor of the dairy product within the first predetermined time period; then the distortion factors within multiple consecutive first predetermined time periods are combined into an iterative sequence, and the autocorrelation coefficient of the iterative sequence is determined; finally, the distortion degree of the linear fitting curve of the ATP content under the storage environment of the dairy product is determined according to the autocorrelation coefficient.

[0043] Specifically, the embodiment of the present invention specifically uses the following formula to calculate the distortion factor within the first predetermined time period: In the above formula, represents the distortion factor of the u-th first predetermined time period. The distortion factor is inversely proportional to the value of the initial corruption rate and is directly proportional to the storage stability. represents the storage stability during the u-th first predetermined time period. represents the initial corruption rate. The higher the value of , the lower the distortion of the corresponding distortion factor. The purpose of the distortion factor here is to participate in the construction of the distortion degree of the analysis and prediction sequence.

[0044] More specifically, the distortion factor in each first predetermined time period is obtained to form a distortion factor sequence, which is recorded as . In the distortion factor sequence, the greater the fluctuation of the distortion factor, the higher the distortion of the ATP content after linear fitting, because the instability of the distortion factor at different detection times is extremely high, representing the abnormality of parameters such as the storage environment, and the higher the risk of spoilage of dairy products. In the embodiment of the present invention, it is stipulated that the distortion factors of 10 first predetermined time periods form an iterative sequence, and it is determined whether the detection interval of the ATP content in the 11th first predetermined time period needs to be iteratively updated, and so on. Among them, the autocorrelation coefficient of the iterative sequence can be referred to the prior art, and the embodiment of the present invention will not be repeated here.

[0045] More specifically, as an optional embodiment of the present invention, determining the distortion of the linear fitting curve of the ATP content under the storage environment of the dairy product based on the autocorrelation coefficient includes: determining the fourth difference between the predetermined value and the autocorrelation coefficient as the distortion of the linear fitting curve of the ATP content under the storage environment.

[0046] Specifically, the predetermined value may be 1. The embodiment of the present invention specifically uses the following formula to calculate the distortion of the linear fitting curve of the ATP content: In the above formula, Indicates the distortion of the linear fitting curve of the current ATP content. Represents the autocorrelation coefficient of the iterative sequence. The higher the autocorrelation coefficient, the more stable the sequence value is, the closer it is to 1, the lower the distortion is, and the less necessary it is to iterate the detection interval.

[0047] Step S105, determining a second detection interval of the dairy product according to the distortion and the initial detection interval.

[0048] Specifically, in the embodiment of the present invention, the distortion is set to As an optional embodiment of the present invention, determining the second detection interval of the dairy product according to the distortion and the initial detection interval includes: determining the second product between the distortion and the initial detection interval as the second detection interval.

[0049] The embodiment of the present invention specifically uses the following formula to calculate the second detection interval: In the above formula, represents the updated second detection interval; Indicates the initial detection interval before updating. The distortion of the linear fitting curve representing the current ATP content. The higher the distortion, the higher the variability of the detection interval. Repeat the above iterative process to achieve real-time update of the detection interval.

[0050] Step S106, detecting the ATP content of the dairy product within a second predetermined time period under the storage environment at a second detection interval.

[0051] Specifically, the ATP content of the dairy product in the storage environment is detected according to the second detection interval updated in real time within the second predetermined time period.

[0052] The embodiment of the present invention can store dairy products under different storage environments, and obtain the ATP content of the dairy products in real time for each storage environment. The distortion of the linear fitting curve of the ATP content is determined in combination with the initial corruption rate of the dairy products under the initial storage environment and the storage stability of the dairy products, and the detection interval of the dairy products is updated according to the distortion and the initial detection interval. That is, the detection interval of the ATP content of the dairy products is adjusted in real time according to the environment in which the dairy products are located. Therefore, the embodiment of the present invention can be applicable to scenarios where dairy products are in high temperature environments and low temperature environments, and improves the detection efficiency, flexibility and reliability of the detection results of ATP fluorescence detection of dairy products.

[0053] More specifically, as an optional embodiment of the present invention, after detecting the ATP content of the dairy product in a second predetermined time period under a storage environment at a second detection interval, the method further includes: predicting the ATP content in a future time period based on the ATP content in the first predetermined time period and the ATP content in the second predetermined time period to obtain the ATP content in the future time period; determining the microbial activity and spoilage risk corresponding to the ATP content in the future time period through the correspondence between the preset ATP content, microbial activity and spoilage risk.

[0054] Specifically, through the above embodiment of the present invention, it is ensured that the detection results of the ATP content in each time period are linearly distributed. The linear distribution result is obtained, and the autoregressive integrated moving average model (ARIMA) is used to perform prediction analysis to obtain the ATP content in the future time period, and then the corruption risk result is obtained. Among them, the embodiment of the present invention pre-establishes the corresponding relationship between the ATP content, microbial activity and corruption risk. The ATP content directly reflects the activity of microorganisms in dairy products. The higher the microbial activity, the faster the corruption speed. That is, the low range of ATP content, the middle range of ATP content and the high range of ATP content are set. The specific values ​​of the low range of ATP content, the middle range of ATP content and the high range of ATP content can be determined according to actual conditions, and the embodiment of the present invention is not limited here. Among them, the low range of ATP content corresponds to low microbial activity and low corruption risk, the middle range of ATP content corresponds to medium microbial activity and medium corruption risk, and the middle range of ATP content corresponds to high microbial activity and high corruption risk. After the ATP content of the future time period is predicted, it is determined in which range of the above embodiment of the present invention it is, and the corruption risk result is output accordingly. The spoilage risk level and microbial activity of dairy products can be directly derived based on the predicted ATP content, providing a reference for quality control and storage management.

[0055] Embodiment 2: Corresponding to the ATP fluorescence detection method for dairy products provided in the above embodiment, based on the same technical concept, an embodiment of the present invention further provides an ATP fluorescence detection device for dairy products, which is used to perform the above ATP fluorescence detection method for dairy products. Figure 2A schematic structural diagram of an ATP fluorescence detection device for dairy products to implement various embodiments of the present invention includes: an acquisition module 201, which is used to acquire the ATP content of dairy products under different storage environments at an initial detection interval, and acquire the pH value of dairy products under different storage environments within a first predetermined time period at a first detection interval; a determination module 202, which is used to determine the initial corruption rate of dairy products according to the initial ATP content of dairy products under the initial storage conditions of the storage environment and the initial temperature at the corresponding initial moment; the determination module 202 is also used to determine the storage stability of dairy products under the storage environment within the first predetermined time period according to the pH value and the neutral value within the first predetermined time period under each storage environment; the determination module 202 is also used to determine the distortion of the linear fitting curve of the ATP content of dairy products under the storage environment according to the storage stability and the initial corruption rate; the determination module 202 is also used to determine the second detection interval of dairy products according to the distortion and the initial detection interval; the detection module 203 is used to detect the ATP content of dairy products under the storage environment within the second predetermined time period at the second detection interval.

[0056] The embodiment of the present invention can store dairy products under different storage environments, and obtain the ATP content of the dairy products in real time for each storage environment. The distortion of the linear fitting curve of the ATP content is determined in combination with the initial corruption rate of the dairy products under the initial storage environment and the storage stability of the dairy products, and the detection interval of the dairy products is updated according to the distortion and the initial detection interval. That is, the detection interval of the ATP content of the dairy products is adjusted in real time according to the environment in which the dairy products are located. Therefore, the embodiment of the present invention can be applicable to scenarios where dairy products are in high temperature environments and low temperature environments, and improves the detection efficiency, flexibility and reliability of the detection results of ATP fluorescence detection of dairy products.

[0057] Embodiment three: Corresponding to the ATP fluorescence detection method for dairy products provided in the above embodiment, based on the same technical concept, an embodiment of the present invention further provides an ATP fluorescence detection system for dairy products, and the ATP fluorescence detection system for dairy products is used to execute the above ATP fluorescence detection method for dairy products. Figure 3 A schematic diagram of a structure of an ATP fluorescence detection system for dairy products to implement various embodiments of the present invention is shown in FIG. Figure 3As shown in the hardware level, the ATP fluorescence detection system for dairy products includes a processor, and optionally, an internal bus, a network interface, and a memory. The memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Of course, the ATP fluorescence detection system for dairy products may also include hardware required for other businesses.

[0058] The processor, network interface and memory can be interconnected through an internal bus, which can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one bidirectional arrow is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0059] The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation commands. The memory may include internal memory and non-volatile memory, and provide instructions and data to the processor.

[0060] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a device for locating the specified user at the logical level. The processor executes the program stored in the memory and is specifically used to execute: Figure 1 The method disclosed in the illustrated embodiment implements the functions and beneficial effects of each method in the previous method embodiments, which will not be described in detail here.

[0061] It should be noted that the ATP fluorescence detection system for dairy products provided in an embodiment of the present invention and the ATP fluorescence detection method for dairy products provided in an embodiment of the present invention are based on the same application concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned ATP fluorescence detection method for dairy products, and has the same or similar beneficial effects, and the repeated parts will not be repeated.

[0062] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0063] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for ATP fluorescence detection of dairy products, characterized in that: The ATP fluorescence detection method for dairy products comprises: Acquire the ATP content of the dairy product under different storage environments at an initial detection interval, and acquire the pH value of the dairy product under different storage environments within a first predetermined time period at a first detection interval; Determining the initial spoilage rate of the dairy product according to the initial ATP content of the dairy product under the initial storage conditions of the storage environment and the initial temperature at the corresponding initial moment; Determining the storage stability of the dairy product within the first predetermined time period under the storage environment according to the pH value and the neutral value within the first predetermined time period under each of the storage environments; Determining the distortion of the linear fitting curve of the ATP content of the dairy product under the storage environment according to the storage stability and the initial spoilage rate; determining a second detection interval of the dairy product according to the distortion degree and the initial detection interval; The ATP content of the dairy product within a second predetermined time period under the storage environment is detected at the second detection interval.

2. The ATP fluorescence detection method for dairy products according to claim 1, characterized in that: After detecting the ATP content of the dairy product within a second predetermined time period under the storage environment at the second detection interval, the method further includes: Predicting the ATP content in a future time period according to the ATP content in the first predetermined time period and the ATP content in the second predetermined time period to obtain the ATP content in the future time period; The microbial activity and the risk of corruption corresponding to the ATP content in the future time period are determined by the preset corresponding relationship among the ATP content, the microbial activity and the risk of corruption.

3. The ATP fluorescence detection method for dairy products according to claim 1, characterized in that: Determining the initial spoilage rate of the dairy product according to the initial ATP content of the dairy product under the initial storage conditions of the storage environment and the initial temperature at the corresponding initial moment comprises: Calculating an absolute value of a first difference between a maximum allowable temperature value allowed by the storage environment and the initial temperature; The first product of the initial ATP content and the reciprocal of the absolute value of the first difference is determined as the initial spoilage rate of the dairy product.

4. The ATP fluorescence detection method for dairy products according to claim 1, characterized in that: The step of determining the storage stability of the dairy product within the first predetermined time period under the storage environment according to the pH value and the neutral value within the first predetermined time period under each storage environment comprises: Determining a numerical change amount of the pH value within the first predetermined time period according to the pH value within the first predetermined time period under each of the storage environments; determining a characteristic quantity of the first predetermined time period according to a difference between a pH value and a neutral value within the first predetermined time period; A first ratio between the characteristic value and the numerical variation is normalized to obtain the storage stability of the dairy product within a first predetermined time period under the storage environment.

5. The ATP fluorescence detection method for dairy products according to claim 4, characterized in that: Determining the value change of the pH value within the first predetermined time period according to the pH value within the first predetermined time period under each of the storage environments includes: Calculating a second difference between pH values ​​at adjacent detection times corresponding to the first detection interval within the first predetermined time period; The average value of the second difference is determined as the numerical change of the pH value within the first predetermined time period.

6. The ATP fluorescence detection method for dairy products according to claim 4, characterized in that: The step of determining the characteristic quantity of the first predetermined time period according to the difference between the pH value and the neutral value within the first predetermined time period comprises: Calculating the absolute value of a third difference between the pH value at each detection moment within the first predetermined time period and the neutral value, and calculating the reciprocal of the sum of the absolute value of the third difference and a predetermined value; An average value of the reciprocal of the sum of the absolute value of the reciprocal of the third difference and a predetermined value is determined as the characteristic value of the first predetermined period of time.

7. The ATP fluorescence detection method for dairy products according to claim 1, characterized in that: The distortion degree of the linear fitting curve for determining the ATP content of the dairy product under the storage environment according to the storage stability and the initial corruption rate includes: determining a second ratio between the storage stability and the initial spoilage rate as a distortion factor of the dairy product within the first predetermined period of time; Combining the distortion factors in a plurality of consecutive first predetermined time periods into an iterative sequence, and determining the autocorrelation coefficient of the iterative sequence; The distortion degree of the linear fitting curve of the ATP content in the storage environment of the dairy product is determined according to the autocorrelation coefficient.

8. The ATP fluorescence detection method for dairy products according to claim 7, characterized in that: The distortion degree of the linear fitting curve for determining the ATP content under the storage environment of the dairy product according to the autocorrelation coefficient includes: A fourth difference between the predetermined value and the autocorrelation coefficient is determined as a distortion degree of the linear fitting curve of the ATP content under the storage environment.

9. The ATP fluorescence detection method for dairy products according to claim 1, characterized in that: Determining the second detection interval of the dairy product according to the distortion and the initial detection interval comprises: A second product between the distortion degree and the initial detection interval is determined as the second detection interval.

10. An ATP fluorescence detection system for dairy products, characterized in that: include: A processor and a memory; wherein the memory is used to store a computer program that can be run on the processor; A processor is used to execute the program stored in the memory to implement the steps of the ATP fluorescence detection method for dairy products as described in any one of claims 1 to 9.

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